​This is a full-time, fully remote Data Scientist role at Tanaq Technical Services (TTS), specifically supporting the Department of Housing and Urban Development (HUD) Office of the Chief Information Officer (OCIO). The role focuses on leveraging AI/ML to enhance HUD's system functionality and operational efficiency by analyzing, modeling, and simulating data for proofs of concept and pilot programs.

• ​Location: Fully Remote (Must reside in the United States).
• ​Experience Required: 5+ years of experience in data science, statistical modeling, or AI/ML projects.
• ​Clearance: Must be able to pass a Federal background screening and obtain/maintain government clearance and customer approval.
• ​Focus: Developing predictive models, simulations, and decision-theory frameworks using Python, and ensuring models comply with federal AI governance requirements.
• ​Domain Preference: Previous experience supporting HUD OCIO and familiarity with federal datasets preferred.

​Responsibilities: Model Development and AI Governance

​The Data Scientist is responsible for the end-to-end lifecycle of AI/ML models, from data preparation and algorithm development to deployment and governance documentation.

• ​AI/ML Development: Develop statistical models, machine learning algorithms, and simulations using Python. Develop predictive models, simulations, and decision-theory frameworks.
• ​Data Preparation: Analyze HUD datasets, implement data preprocessing, and assess data quality for AI workflows. Requires strong data processing, cleaning, transformation, and engineering capabilities.
• ​Model Deployment & Validation: Evaluate model performance, validate results, and iterate for improvement. Collaborate with HCD/UX and front-end teams to ensure models are operationalized effectively.
• ​Governance & Compliance: Support AI governance by documenting models, decisions, assumptions, and ethical safeguards. Maintain version-controlled code and reproducible workflows for HUD audit and compliance.

​Required Technical Skills and Experience

​The position demands deep technical proficiency in the Python data science ecosystem and expertise in managing federal-scale datasets.

• ​Core Experience (5+ years): Experience developing predictive models, simulations, and decision-support tools.
• ​Python Stack: Proficiency in Python libraries including pandas, NumPy, scikit-learn, and deep learning frameworks like TensorFlow/PyTorch.
• ​Modeling & Statistics: Expertise in Statistical modeling, simulation, and decision theory.
• ​Data Systems: Experience with federal-scale datasets, such as SQL, NoSQL, Spark, Kafka, or cloud-native pipelines.
• ​Workflow Tools: Proficiency in data visualization (Matplotlib, Seaborn, Plotly) and version control (Git/GitHub/GitLab). Experience with AI/ML lifecycle and reproducible workflows.
• ​Core Competencies: Analytical and problem-solving mindset, collaboration skills, and commitment to ethical and privacy-conscious model design.

​This is a full-time, senior-level Data Analyst role at KCI Technologies, Inc., a 100% employee-owned engineering, consulting, and construction firm. This position is highly focused on ETL processes, data governance, and analytics solutions, with a required specialization in leveraging Safe Software FME for data transformation and optimization. The role involves significant leadership, mentoring, and direct stakeholder/client interaction.

• ​Location: US (Not specified, but KCI serves clients nationally).
• ​Experience Required: Minimum eight years of experience as a Data Analyst or similar role.
• ​Education: Bachelor’s degree in a quantitative or technical field (e.g., Data Science, Systems Engineering, Statistics, Geography) is required.
• ​Focus: Leading end-to-end ETL, FME tool specialization, data modeling/predictive analytics, developing scalable dashboards, and serving as a key liaison to senior management and customers.
• ​Industry Preference (Preferred): Experience in a consulting role and experience in markets like utilities, facilities, transportation, water, and/or state/local government.

​Duties & Responsibilities: ETL Leadership and Strategic Consulting

​The Senior Data Analyst leads technical projects, mentors junior staff, and supports business development by applying data expertise to client programs.

• ​ETL and FME Specialization: Lead end-to-end ETL processes, including requirements gathering, data acquisition, business process analysis, transformation, and integration. Leverage Safe Software FME and related tools to design, automate, and optimize workflows for data transformation, validation, and delivery.
• ​Analytics and Modeling: Perform modeling and analysis of structured and unstructured datasets to develop metrics, reports, visualizations of trends and patterns, and predictive analytics.
• ​BI and Dashboarding: Work closely with stakeholders to define key metrics, develop scalable dashboards, and recommend, deploy, and manage the implementation of business intelligence, data visualization, and reporting tools.
• ​Automation and Data Quality: Automate the collection and analysis of large data sets from customer and third-party systems, using APIs and Python scripts. Identify and troubleshoot complex data problems.
• ​Leadership and Mentoring: Mentor data analysts and associate data analysts by developing, coaching, and growing team members. Supervise staff, as assigned, and provide performance feedback.
• ​Client Engagement: Regularly interact and build relationships with senior management, customers, and business partners. Support business development by meeting with customers and assisting with proposals (RFPs).

​Required Skills and Technical Environment

​The technical requirements are specific, demanding proficiency in ETL scripting, FME, and a strong background in data visualization and management.

• ​Core Technical Proficiency: Experience with data extraction, Safe Software FME, Python, SQL, Power Query, APIs, and ETL/data engineering tools and query languages is required.
• ​Geospatial (Preferred): Proficiency with Esri cloud, desktop, web, and mobile product lines, with the ability to integrate spatial analysis into other platforms is preferred.
• ​Experience: Minimum eight years of experience as a Data Analyst or similar role.
• ​Soft Skills: Strong problem-solving, organizational, and time-management skills. Demonstrated ability to leverage information into data-driven decisions for tactical and strategic support. Motivated team player capable of working constructively on multi-disciplinary teams.

​This is a full-time, remote (USA) Data Analyst role in the Operations Department at Serve Robotics, a company pioneering autonomous last-mile delivery using sidewalk robots. The analyst will be a key member of the Analytics team, responsible for building reporting, uncovering operational insights, and acting as a strategic thought partner across the scaling business.

• ​Location: Remote, USA.
• ​Compensation: $98K – $119K plus equity.
• ​Experience Required: 4+ years of experience in an analytics role (startup or high-growth environment strongly preferred).
• ​Focus: Operational efficiency, delivery performance, A/B testing, and translating complex, sometimes messy, data into clear, actionable business recommendations.
• ​Industry Preference: Experience in logistics, marketplaces, or operations-heavy industries is preferred.

​Job Duties: Metric Ownership and Strategic Insight

​The analyst is expected to be an "owner, not a passenger," defining success metrics and guiding crucial operations and product decisions within a fast-paced environment.

• ​Reporting & Dashboards: Build and maintain dashboards and models to improve visibility into operational efficiency, delivery performance, and topline metrics.
• ​Cross-Functional Insights: Partner with operations, engineering, and product teams to translate business needs into data-driven solutions.
• ​Strategic Partner: Act as an analytics thought partner, translating complex findings into simple, actionable insights for both technical and non-technical audiences.
• ​Metric Ownership: Help define and track key business metrics, enabling data-driven strategy across teams.
• ​Problem-Solving: Source and transform data creatively, even when systems are incomplete. Propose solutions and tools to streamline workflows.

​Required Experience, Qualifications, and Skills

​The role requires strong proficiency in modern data tools, statistical methods, and the ability to thrive in a high-growth environment.

• ​Technical Proficiency:
  • ​Proficiency in SQL (4+ years) is mandatory.
  • ​Comfort with scripting in Python or R.
  • ​Strong data visualization skills using BI tools (they use ThoughtSpot and Looker Studio).
• ​Analytical Depth:
  • ​Experience with A/B testing, experimental design, and inferential statistics.
  • ​Knowledge of geospatial analysis techniques is a plus.
• ​Data Stack (Preferred): Experience with dbt (Data Build Tool) and modern data governance practices is preferred.
• ​Environment: Experience in a startup or high-growth environment is strongly preferred. Proven ability to thrive on scrappy, fast-moving teams.
• ​Soft Skills: Strong stakeholder management and communication skills. Comfort leveraging AI/GenAI tools to enhance analytics workflows.

​This is a full-time Marketing Data Analyst (MDA) role at Anteriad, a B2B solution provider specializing in data-driven marketing challenges. This role supports senior team members in executing client deliverables and recurring analytical and reporting responsibilities. The position requires a combination of strategic thinking, tactical execution, and heavy data manipulation skills.

• ​Location: Remote (Candidates must reside in the East Coast or Midwest regions and work Eastern Standard Time (EST) hours).
• ​Experience Required: 1+ years of data analyst work experience required.
• ​Education: Quantitative College degree is a must.
• ​Travel: Required travel to the New York City office and client meetings as needed.
• ​Focus: Database analysis, predictive analytics/modeling, heavy SQL/Excel work, and data storytelling for enterprise clients (IBM, Microsoft, etc.).

​What You'll Do: Execution, Analysis, and Client Support

​The MDA is expected to be a resourceful self-starter, dedicated to finding effective solutions for direct response campaigns.

• ​Analysis & Modeling: Support key project deliverables requiring database analysis and predictive analytics/modeling. Heavy reliance on SQL and Excel for data manipulation and analysis is required.
• ​Project Execution: Responsible for the flawless execution of projects in support of the Analytics team.
• ​Client Communication: Be an active data-storyteller and an effective communicator at all levels. Act as a Liaison between the company, client(s), and contracted vendors, providing account support for several clients.
• ​Growth Mindset: Must possess curiosity as to why direct response campaigns "work" and an unwavering dedication to personal growth and development, willing to attempt many different solutions until the best resolution is found.

​Required Qualifications and Benefits

​The successful candidate needs strong foundational technical skills, analytical aptitude, and excellent collaboration abilities.

• ​Experience & Education: 1+ years of data analyst work experience required, and a Quantitative College degree is mandatory.
• ​Core Technical Skills: Data manipulation via SQL required. Strong computer skills, analytical, and problem-solving skills.
• ​Soft Skills: Strong communication (written and verbal) and organizational skills. Must be a self-starter/self-motivated with the ability to multi-task and maintain attention to detail.
• ​Culture & Benefits: Anteriad promotes an environment for employees to thrive, including:
  • ​Flexible PTO and a generous paid holiday schedule.
  • ​401K with company match.
  • ​Fully paid primary caregiver leave (12 weeks) and parental bonding leave (2 weeks).
  • ​Company-paid short-term disability, long-term disability, and life insurance.
  • ​Training & development with unlimited access to Percipio LMS.

​This is a full-time Data Governance Analyst role at Tripoint Solutions, supporting a federal customer. The analyst is responsible for analyzing current governance structures, processes, and bodies to identify gaps and provide recommendations for future data governance implementation. This involves defining policies, establishing quality metrics, and ensuring compliance with legislative mandates like ZTA and EBPA.

• ​Location: Hybrid position, must be located in DC, Virginia, or Maryland. Requires working on-site in DC 4 days a week at minimum.
• ​Experience Required: 8+ years working with business stakeholders, data modeling, and data architecture concepts; 5+ years leading data governance initiatives.
• ​Clearance: Applicants may be subject to a government security investigation and must meet eligibility requirements (US Citizenship or Green Card required).
• ​Key Focus: DAMA framework, data architecture enhancement, compliance (ZTA, EBPA), data lifecycle management, and implementing data quality metrics.
• ​Preferred Skills: Financial markets experience, and experience with metadata management tools like Collibra.

​Key Accountabilities: Governance Structure and Data Quality

​The analyst is accountable for developing and implementing the foundational elements of the data governance program across the enterprise.

• ​Process Improvement: Analyze existing governance processes and recommend improvements. Conduct annual assessments of data management activities.
• ​Structure Definition: Collaborate with management and staff to identify data domains, domain leads, and governance policies. Identify data owners and stewards and support governance training efforts.
• ​Standards & Compliance: Establish policies and procedures for data lifecycle management and compliance with legislative mandates such as ZTA (Zero Trust Architecture) and EBPA (Evidence-Based Policy Act).
• ​Data Quality: Define requirements for implementing data quality metrics. Work with business owners to establish data quality rules, definitions, and strategies.
• ​Architecture & Strategy: Analyze and enhance data architecture and standards. Develop mechanisms to measure data management maturity.
• ​Documentation: Ability to analyze, develop and document processes, procedures, policies, and charters, and document requirements to support data governance activities.

​Required Experience and Technical Skills

​The role demands senior-level experience, deep familiarity with industry frameworks, and proficiency in modern data platforms.

• ​Foundational Knowledge: Excellent knowledge of the DAMA framework (Data Management Body of Knowledge).
• ​Experience: 5+ years of experience leading data governance initiatives in multiple settings. Experience implementing governance for mission-specific data standards.
• ​Technical Proficiency: High proficiency in SQL, AWS, or other cloud-based tools. Strong understanding of a variety of database paradigms and technologies.
• ​Preferred Tools: Experience with metadata management tools (Collibra) strongly preferred.
• ​Preferred Industry: Financial markets experience strongly preferred.

​This is a full-time, remote Data Analyst role at Milliman, focused on supporting a major business transformation program to modernize HRIS, Finance, Legal, and Professional Services Automation systems. The analyst is a critical member of the Data Enablement Team, ensuring data integrity, quality, and seamless migration through data profiling, mapping, validation, and integration.

• ​Location: Remote (Designated location: Chicago, IL).
• ​Salary Range: $78,800 - $145,130 (specific range depends on candidate location).
• ​Experience Required: Minimum 5 years of experience in a data analyst or similar data-focused role, preferably supporting large-scale system implementations or migrations.
• ​Focus: Data profiling, mapping, ETL support, data quality, metadata/lineage documentation, and supporting data governance during a major enterprise platform overhaul (HRIS, Finance, Legal, PSA).
• ​Technical Skills: Hands-on experience with SQL, Python, and relational databases.

​Responsibilities: Data Integrity and Migration Lifecycle

​The analyst collaborates closely with business and technical teams across the entire data lifecycle for the migration, from initial profiling through post-implementation governance.

• ​Data Analysis & Profiling: Profile data and analyze source systems and data structures to assess content, quality, and structure, supporting accurate mapping and migration processes. Analyze and document existing data sources, structures, and business rules within legacy systems.
• ​Data Mapping & Transformation: Develop comprehensive data mapping documents, including source-to-target specifications and transformation logic. Ensure mappings are compatible with MDM, data hub, and integration platform configurations.
• ​ETL and Validation: Support the extraction, transformation, and loading (ETL) of data, including profiling, cleansing, and validating migrated data. Perform data quality assessments and implement data validation processes to ensure completeness and accuracy.
• ​Documentation & Governance: Create and maintain data catalogs for consistent documentation and easy discovery. Assist in identifying data quality issues and contribute to metadata and lineage documentation.
• ​Integration Support: Assist in designing and testing data integrations between new enterprise platforms and other business applications.
• ​Stakeholder Collaboration: Collaborate with business stakeholders to gather requirements, refine business rules, and communicate data requirements for HR, Finance, Legal, and Professional Services functions.
• ​Issue Resolution: Track mapping progress, dependencies, and issues, providing timely updates and resolving blockers.

​Required Skills and Qualifications

​The successful candidate needs deep technical familiarity with data management practices and strong soft skills for collaboration within a major project environment.

• ​Experience: Minimum 5 years in a data analyst or similar role, with previous experience with data analysis, data profiling, data mapping, and ETL processes.
• ​Technical Tools: Hands-on experience with SQL, Python, and working with relational databases. Previous experience with data migration and data integration tools.
• ​Soft Skills: Excellent analytical skills with the ability to interpret and translate business requirements into technical specifications. Effective verbal and written communication, with the ability to collaborate across business and technical teams.
• ​Preferred Skills:
  • ​Experience with HRIS, Finance, Legal, or Professional Services Automation systems.
  • ​Familiarity with data governance and data quality best practices.
  • ​Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).

​This is a full-time, Mid-Level, Remote Logistics Data Analyst role within the Outbound Transportation Team of the Logistics Department at WebstaurantStore.com, a leading e-commerce website for foodservice professionals. The analyst is responsible for using data to identify supply chain inefficiencies, developing suggested business logic improvements, and achieving financial savings by optimizing transportation operations.

• ​Location: Remote (Must be a legal resident in one of the specified US states).
• ​Employment Status: Full-Time (W-2 only).
• ​Education: No degree required; focus is on relevant skills and experience.
• ​Focus: Analyzing logistics data, optimizing outbound delivery rates and transit times, implementing cost reduction strategies, and managing transportation provider relationships.
• ​Technical Skills: Experience with PowerBI, RStudio, Python, SQL, or similar programs is required.

​Responsibilities: Cost Reduction and Supply Chain Optimization

​The analyst is expected to be a data-driven innovator who challenges the status quo and takes ownership of complex problems to drive process improvement and financial results.

• ​Financial & Process Improvement: Identify areas for potential financial savings within supply chain operations and implement strategies to realize cost reduction. The ability to think like an entrepreneur and challenge the status quo is highly desired.
• ​Reporting & Analysis: Design and produce reports to provide valuable insights. Utilize varied datasets and systems in tandem to provide clarity for "grey area" business needs.
• ​Outbound Optimization: Work with the Outbound Transportation Team to optimize delivery rates and transit times.
• ​Data Systems: Collaborate with the enterprise business intelligence department to improve and optimize data and reporting capabilities and processes.
• ​Tool Management: Help optimize custom-built transportation management tools.
• ​Vendor Management: Manage relationships with contracted transportation providers.

​Required Qualifications and Technical Skills

​The role prioritizes excellent analytical abilities, practical experience with data manipulation, and strong communication skills over a formal degree.

• ​Analytical Skills: Has excellent analytical skills, with the ability to look "behind the numbers" to understand operational mechanics.
• ​Data Proficiency: Experience creating, cleaning, and leveraging data and reporting tools to support proposed solutions.
• ​Technical Tools: Experience using PowerBI, RStudio, Python, SQL, or other similar programs.
• ​Software: Proficient in MS Excel (proficiency with other statistical software is a plus).
• ​AI/ML (Desired): Experience using AI and Machine Learning to support business operations and decisions is desired but not required.
• ​Soft Skills: Able to work autonomously, communicate effectively with diverse audiences, and balance multiple responsibilities in a fast-paced environment.

​This is a full-time, remote Sustainability Data Analyst role at Carhartt, reporting to the Senior Manager, Sustainability, within the People & Impact Department. The core mission of this role is to lead the collection, analysis, and visualization of environmental performance data, with a primary focus on Greenhouse Gas (GHG) emissions (Scopes 1, 2, and 3), water, and waste. The analyst ensures a transparent, data-driven sustainability reporting process that supports science-based targets and voluntary environmental reporting.

• ​Location: Remote (Dearborn, MI is the department base).
• ​Experience Required: 3+ years of experience in data analysis or sustainability reporting, particularly with a global leading manufacturer (apparel or CPG preferred).
• ​Education: Bachelor’s degree in Environmental Science, Data Analytics, Sustainability, or a related field (Advanced degree preferred).
• ​Travel: Limited travel (10%).
• ​Focus: GHG inventory/accounting, data visualization (Power BI), ESG standards (CSRD, SEC), and cross-functional data-collection framework design.

​Associate Responsibilities: Data Frameworks and Reporting

​The analyst drives the technical and strategic effort to quantify and analyze the company's environmental footprint across the value chain.

• ​GHG Inventory Leadership: Lead the annual greenhouse gas emissions inventory/accounting process for Scope 1, 2, 3 categories including supply chain, product use, end-of-life, water, and waste measurements.
• ​Data Framework Design: Design and implement data collection frameworks across suppliers, logistics, product development, and retail channels to capture indirect emissions. Identify opportunities for automation and building data pipelines.
• ​Analysis & Target Setting: Analyze emissions data to identify hotspots, trends, benchmark performance, and support target-setting (e.g., science-based targets) and informed decision-making.
• ​Visualization & Reporting: Develop data visualizations and dashboards (using Power BI, etc.) to monitor sustainability KPIs. Prepare and present sustainability reports, papers, and presentations for internal and external stakeholders.
• ​Compliance & Insight: Partner with the Global Social Responsibility team, staying current on ESG reporting standards and regulations (e.g., CSRD, SEC climate disclosure).
• ​Modeling & Forecasting: Develop a framework to model impact and/or forecast future performance of future initiatives.

​Required Skills and Experience

​Success requires specialized experience in environmental accounting, data management, and the ability to influence cross-functional teams.

• ​Specialized Experience: 3+ years of experience in data analysis or sustainability reporting. Experience in Green House Gas Accounting (Scope 1, 2, 3 emissions) and water & waste data tracking.
• ​GHG Tools (Preferred): Experience with GHG accounting software (e.g., Carbonfact, Worldly) preferred.
• ​Compliance Knowledge (Preferred): Familiarity with ESG standards and experience with VPPA’s and/or renewable energy preferred.
• ​Technical Proficiency: Advanced experience and proficiency using Excel, PowerPoint/Keynote, Word, Power BI, etc.
• ​Soft Skills: Demonstrated ability to execute programs that achieve sustainability goals. Ability to persuade and influence, without having direct authority, to drive solutions. Excellent communication skills.

​This is a full-time, remote (US-Remote) Data Analyst role at MANSCAPED®, a leading men’s grooming and lifestyle consumer brand. Reporting to the Sr. Manager, Analytics, this role is a hybrid position focused on both data analysis and the building/optimizing of data pipelines (ETL). The analyst will drive smarter decisions across marketing, product, and operations by ensuring data is accurate, accessible, and actionable.

• ​Location: Remote, United States.
• ​Compensation Range: $75,000 - $85,000 USD annually.
• ​Experience Required: 2+ years of direct experience in analytics, reporting, or data management roles.
• ​Focus: SQL, ETL/pipeline maintenance, dashboard building, customer segmentation, and marketing/e-commerce data analysis (Shopify, Amazon, CRM).
• ​Work Environment: Remote-first employer with a monthly utility allowance.

​Responsibilities: Pipelines, Insights, and Reporting

​The analyst will combine a technical, hands-on approach to data engineering fundamentals with a strong analytical mindset to deliver actionable business intelligence.

• ​Data Pipeline/ETL: Support analytics and BI initiatives by maintaining and optimizing data pipelines and ETL processes .
  • ​Note: This includes partnering with senior analysts and data engineers to ensure data is accurately modeled, transformed, and documented across sources (Shopify, Amazon, CRM, etc.).
• ​Analysis & Insights: Collect, analyze, and interpret data to identify trends and generate actionable insights for retention marketing, product performance, and customer segmentation.
• ​Reporting: Build and maintain automated dashboards and reports to track Key Performance Indicators (KPIs).
• ​Data Quality: Conduct data validation and quality checks to ensure data integrity and consistency.
• ​Modeling: Assist in developing and testing basic forecasting models and reports, and help refine business logic through SQL and analytics tools.
• ​Collaboration: Collaborate with cross-functional teams to improve data accessibility, reliability, and governance.

​Required Qualifications and Technical Skills

​The successful candidate must be proficient in SQL and experienced with common BI and data pipeline tools used in a modern e-commerce environment.

• ​Experience: 2+ years of direct experience in analytics, reporting, or data management roles.
• ​Core Technical Skills:
  • ​Proficiency in SQL for querying, transforming, and aggregating data.
  • ​Proficiency with Excel and Google Sheets for data analysis and modeling.
  • ​Experience with data visualization tools such as Looker, Tableau, or Power BI.
• ​Pipeline Knowledge (Plus): Working knowledge of ETL concepts, data modeling, and pipeline automation (e.g., Daasity, dbt, Fivetran, Airflow, or similar tools) is a plus.
• ​E-commerce Knowledge (Plus): Solid understanding of marketing analytics tools (e.g., Google Analytics, Shopify, Klaviyo, etc.) and familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) are a plus.

​Benefits Highlights

• ​PTO/Leave: Generous 20 accrued vacation days, 40 hours of paid sick leave, 3 paid mental health days, 9 paid holidays (including birthday), and paid parental leave.
• ​Retirement: Employee 401(k) plan with company match.
• ​Insurance: Comprehensive medical, dental (100% employer paid), and vision insurance, plus Paws & Claws coverage (pet insurance).

​This is a full-time, remote (US-Remote) Application Analyst role at PLOS, a nonprofit Open Access publisher. The role is centered on data stewardship, focusing on improving how PLOS manages, connects, and understands data across its application ecosystem. Key responsibilities include integrating systems, ensuring data quality/consistency across reporting platforms, and providing administration/support for various enterprise applications.

• ​Location: Remote, USA.
• ​Base Salary Range: $75,000 - $100,000 annually.
• ​Focus: Data quality and consistency, system integration, Tableau/SQL reporting, administering enterprise applications (e.g., JIRA, Confluence, NetSuite, HubSpot), and learning Editorial Manager (EM).
• ​Work Environment: Fully remote work environment (with a stipend on joining for home office). Some domestic and/or international travel may be required.

​Responsibilities: Data Stewardship and Application Management

​The analyst acts as the data steward for the applications team, ensuring seamless and accurate data flow, coupled with providing high-quality end-user support.

• ​Data Stewardship: Act as a data steward—monitoring data quality, maintaining field mappings, and ensuring seamless data flow between systems. Manage data in accordance with Information Governance policy and legal frameworks (GDPR).
• ​System Administration: Administer and maintain various enterprise applications (e.g., Tableau, JIRA, Confluence, Alchemer, NetSuite, HubSpot), including data management, system configuration, and security practices.
• ​Integration & Security: Partner with the Technology Services team to establish and enhance application integrations and uphold security best practices.
• ​User Support: Provide end-user support and administration for all user needs (account maintenance, reports, dashboards). Communicate policies, outages, bugs, and solutions.
• ​Process Improvement: Facilitate collaboration to translate business requirements into technical specifications. Proactively monitor usage and propose improvements for application usage and business processes.
• ​Documentation: Create and maintain technical documentation on policies, procedures, workflows, and deployed configurations.

​Required Knowledge and Skills

​The position requires deep analytical abilities, proficiency with data tools, and experience managing complex, integrated enterprise systems.

• ​Data Proficiency: Proficiency with data and reporting tools such as Tableau, SQL, and related data visualization/analytics platforms.
• ​Integration Knowledge: Strong understanding of system integrations, data mapping, and ensuring data quality and consistency across applications.
• ​System Administration: Experienced with administering large, enterprise-wide systems or platforms.
• ​Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information. Adept at queries, report writing, and presenting findings.
• ​Business Systems: Functional knowledge of business systems and strong understanding of typical operational workflows spanning multiple business functions (e.g., Sales, Marketing, Customer Service, Finance, etc.).
• ​Publishing Experience (Desirable): Experience with scientific research publishing or working with Publication Management Systems (Aries Editorial Manager) or similar submission tracking systems is highly desirable.

​This is a full-time, remote (US) Group IT Security Analyst role at Marmon Electrical (part of Marmon Holdings, a Berkshire Hathaway company). This hands-on position works closely with the Group VP of IT to ensure the security and integrity of the organization’s systems and data. The analyst is responsible for managing security tools, leading compliance initiatives (especially CMMC), and driving risk management activities across the decentralized group.

• ​Location: Remote, United States.
• ​Experience: At least five years of experience in IT security, plus experience in providing desktop/network support.
• ​Education/Certification: Bachelor's degree in a related field and relevant certifications (e.g., Network+, Security+, DR, CISSP, CISM, or CISA).
• ​Travel: Estimate of about 10% travel to businesses is required.
• ​Focus: Tool management (Qualys, SentinelOne, etc.), CMMC compliance, third-party risk management (SOC 2), security policy implementation, and incident response.

​Essential Duties: Compliance, Monitoring, and Risk Management

​The analyst's role spans proactive defense, regulatory adherence, and incident handling across the Electrical group's decentralized environment.

• ​Security Tool Management: Proactive management and monitoring of existing cyber tools (e.g., Qualys, SentinelOne, Abnormal, Proof Point, Bitsight, Delinea, Artic Wolf, etc.).
• ​Compliance Leadership: Lead initiative to ensure defense businesses are CMMC compliant. Ensure compliance with PCI-DSS, ISO 27001, GDPR, CCPA, NIST, ITAR, and other regulations (based on current CIS standards) .
• ​Policy & Procedure: Implement security policies and procedures and ensure business compliance with Marmon Standard Practice Instructions.
• ​Third-Party Risk: Ensure third-party risk assessments are completed and that each service provider shares a SOC 2 Type 2 report.
• ​Incident Lifecycle: Monitor security events, conduct risk assessments, manage security incidents (containment, investigation, recovery), and collaborate on incident response and disaster recovery plans.
• ​Asset Management: Assist businesses in managing computer assets (ensuring cybersecurity tools installed and plans for end-of-life systems). Assist with domain registrations (SPF, DKIM, DMARC).
• ​Collaboration: Coordinate all security activities with Marmon Corporate and other IT teams. Participate in IT audits/assessments and train employees on best practices.

​Required Qualifications and Technical Expertise

​The candidate must have strong hands-on experience across both offensive and defensive security tools and core security frameworks.

• ​Experience: At least 5 years in IT security, with experience in desktop/network support.
• ​Security Technologies: Strong knowledge of security tools, including firewalls, antivirus software, IDS, offensive pen testing, defensive pen testing, and other security tools.
• ​Architecture: Experience with zero trust architecture and implementing zero trust principles.
• ​Frameworks: Familiarity with industry standards and regulations such as ISO 27001, CCPA, GDPR, and CIS.
• ​Communication: Excellent communication skills, including communicating technical information to non-technical stakeholders.

​Preferred Experience:

• ​Previous experience in a highly decentralized and disparate technology environment.
• ​Experience with Mergers and acquisitions and systems integration.
• ​Familiarity with vendor tools like Microsoft, Cisco, Palo Alto, VMware, Hyper-V, Qualys, SentinelOne, etc.

​This is a senior-level, full-time Cyber Security Architect/Engineer role at Honeywell, focused on developing and enhancing cybersecurity solutions specifically for critical infrastructure and industrial businesses (OT/ICS) across major markets (Oil & Gas, Power Generation, etc.). This role requires serving as a technical leader, mentor, and Subject Matter Expert (SME) while conducting on-site security services for customers.

• ​Location: Houston, TX, United States (and 1 more, Remote).
• ​Experience Required: 7+ years in IT security/Networking; 5+ years in Security Projects; 3+ years in Vulnerability/Risk assessment.
• ​Travel: Willingness to travel 60-75% is required.
• ​Focus: Industrial Process Control Networks (PCN), network design/implementation, compliance with IEC-62443/ISO 27000, advanced security engineering, and customer consulting.
• ​Preferred Experience: 5 years’ experience in Operational Technology (OT).

​Key Responsibilities: Leadership, Consulting, and Standards

​The engineer assumes a leadership role in complex projects, provides high-level technical consulting, and ensures compliance with critical industry standards.

• ​Leadership & Mentorship: Assume a leadership role in operations teams, serving as a mentor to junior members and ensuring assigned projects are delivered on time and within budget.
• ​Customer Consulting: Provide on-site and offsite consulting, troubleshooting, network designs, implementation, and assessments for customer Industrial Process Control Networks (PCN).
• ​SME & Standards: Serve as a Subject Matter Expert (SME) on assigned Honeywell Solutions/Products. Master current industry security standards (e.g., IEC-62443, ISO 27000).
• ​Technical Currency: Stay technically current with cybersecurity solutions and maintain expert knowledge in designated network disciplines, including upholding industrial safety awareness.
• ​Customer Support: Diagnose problems and provide timely, accurate technical solutions in response to customer inquiries.

​Required Technical Qualifications

​The role demands a combination of advanced network engineering expertise, specific security certifications, and hands-on experience with industrial and enterprise technologies.

• ​Certifications (Mandatory):
  • ​Cisco Certified Network/Design/Security Professional (at least one certification).
  • ​GICSP or CISSP (Certified Information Systems Security Professional) or similar security certification.
  • ​Advanced Cyber Security certifications such as GRID, CISM, or CISA.
• ​Core Experience:
  • ​Networking, endpoint security, and conducting audits/assessments in IT security.
  • ​Proven experience designing or deploying large projects leveraging virtualization, preferably VMware.
• ​Security & Network Technologies:
  • ​Network Security Experience: Firewalls, ACL, IDS, IPS, SIEM, particularly with Cisco Routers, Switches, or Firewalls.
  • ​Proficient in vulnerability scanning and assessments using tools like Nessus and NMAP.
• ​Microsoft Enterprise Services:
  • ​Advanced experience with Microsoft Active Directory including creating and modifying Group Policy Objects (GPOs).
  • ​Advanced experience implementing and troubleshooting DNS, WSUS, and Terminal Server.
  • ​Experience with antivirus systems and backup & restore solutions.
• ​Soft Skills: Ability to lead teams of engineers successfully complete complex projects. Excellent written and oral communication skills.

​Preferred Qualifications:

• ​5 years’ experience in Operational Technology (OT).
• ​VMware Professional (VCP-DCV) certification.
• ​IEC-62443 Expert Certification.
• ​Knowledge of advanced networking protocols (HSRP, OSPF, EIGRP, VLAN, etc.).

​This is a full-time, remote (USA) Threat Detection Engineer role in the Security Operations Department at TENEX.AI, an AI-native Managed Detection and Response (MDR) provider. This is a critical role responsible for proactively identifying and mitigating security threats by developing, implementing, and maintaining advanced detection rules (YARA-L) within Google Security Operations (SecOps).

• ​Location: Remote, USA (Extreme preference/relocation packages offered for Sarasota, FL, or Overland Park, KS; Remote status reserved for "10x of 10x" talent).
• ​Experience: Minimum of 5 years of experience in a security operations role with a strong focus on threat detection and analysis.
• ​Education: Bachelor's degree in a related field (or equivalent practical experience).
• ​Key Focus: YARA-L rule development, Google SecOps, log analysis across cloud/EDR/network sources, TTP analysis, and detection automation.

​Responsibilities: Rule Development, Analysis, and Automation

​The engineer is the primary expert in threat detection logic, ensuring the security platform is highly tuned and effective against emerging threats.

• ​Detection Engineering: Design, develop, implement, and maintain custom detection rules, correlation searches, and alerts within Google Security Operations (SecOps) to identify malicious activity, security incidents, and policy violations.
• ​YARA-L Expertise: Utilize expertise in the SecOps detection engine and YARA-L syntax to create efficient and effective detection logic.
• ​Log Analysis: Analyze large datasets of security logs and events from various sources (cloud platforms, EDR, network devices, applications) to identify patterns and anomalies indicative of threats.
• ​Proactive Strategy: Stay up-to-date with the latest threat intelligence, attack techniques, and TTPs  to proactively develop new detection strategies.
• ​Automation: Automate detection creation, threat intelligence gathering, and rule deployment.
• ​Collaboration & Documentation: Collaborate closely with Security Analysts to tune detection logic. Contribute to the development and maintenance of security documentation, playbooks, and response strategies.
• ​Mentorship: Provide mentorship, training, and guidance to junior team members.

​Required Qualifications and Technical Environment

​The position requires deep, proven experience with specific security tools, scripting, and modern threat concepts.

• ​Core Experience (5+ years): Minimum of 5 years in security operations, with a strong focus on threat detection and analysis.
• ​Platform Expertise (Essential): Proven experience developing and implementing YARA-L rules within Google Security Operations (SecOps) is essential.
• ​Threat Knowledge: Deep understanding of security principles, common attack vectors, and threat actor tactics, techniques, and procedures (TTPs). Experience with threat intelligence and its integration into detection strategies.
• ​Scripting: Proficiency in scripting languages such as Python or similar for automation and analysis.
• ​Diverse Tool Experience (including but not limited to): Cloud security platforms (GCP, AWS, Azure), Endpoint Detection and Response (EDR) solutions, SIEM systems, Network security devices, and IAM systems.
• ​Preferred Qualifications:
  • ​Relevant security certifications (Security+, CySA+, GCIH, GCIA, or similar).
  • ​Familiarity with MITRE ATT&CK framework.
  • ​Experience with SOAR (Security Orchestration, Automation and Response) platforms.
  • ​Knowledge of data science and machine learning concepts as applied to security analytics.

​This is a senior-level Cybersecurity Quality Assurance Analyst role focused on Independent Verification and Validation (IV&V) activities. The analyst ensures that all cybersecurity assessment products and risk documentation meet stringent technical, security, and quality standards, validating compliance against multiple federal and industry frameworks before customer delivery.

• ​Position Type: Senior Level (Implied by requirements).
• ​Experience Required: Seven or more years of relevant cybersecurity experience for senior level; five years in Information Security Governance, Risk, and Compliance (GRC); and three years in third-party cyber risk management.
• ​Focus: IV&V, quality control of assessment documentation, validation against NIST/ISO/SOC standards, and third-party/vendor risk assessment.
• ​Certifications (Mandatory): Must hold and provide proof of at least one of the following certifications: CISSP, CISA, CISM, CTPRP, or CTPRA.

​Responsibilities: Quality Control, Validation, and Documentation

​The analyst is the final checkpoint, ensuring assessment integrity, regulatory compliance, and process consistency across the assessment lifecycle.

• ​Documentation Review: Review cybersecurity assessment documentation for accuracy, completeness, and compliance.
• ​Technical Validation: Conduct independent verification and validation (IV&V) of technical findings and risk statements.
• ​Standards Assessment: Evaluate evidence against federal and industry standards, specifically validating compliance with ISO 27001, SOC 1 and SOC 2, and NIST standards.
• ​Third-Party Risk: Assess vendor cybersecurity risk and review third-party risk documentation, demonstrating experience assessing and mitigating risks associated with vendor relationships.
• ​Quality Assurance: Identify deficiencies or deviations from required quality and security standards. Provide feedback and guidance to assessment teams to maintain quality consistency.
• ​Auditing & Reporting: Maintain documentation, audit trails, and quality records. Support internal audit activities and prepare reports for management review.
• ​Process Improvement: Recommend enhancements to assessment processes and methodologies.

​Required Experience and Technical Expertise

​The role requires a high degree of specialization in GRC, risk mitigation, and specific federal assessment frameworks.

• ​Information Security GRC (5+ Years):
  • ​Expertise in writing technical and risk management reports.
  • ​Experience assessing and mitigating risks associated with vendor relationships and vendor control evaluations.
  • ​Technical understanding of cybersecurity concepts and working knowledge of ISO 27001, SOC 1 and SOC 2, NIST SP 800-53, and NIST SP 800-171.
  • ​Experience performing risk-based due diligence.
• ​Third Party Risk Management (3+ Years):
  • ​Experience evaluating third-party cyber risk.
  • ​Experience developing and implementing sustainable third-party cyber risk processes.
• ​Federal Experience: Experience conducting assessments using NIST SP 800-53 within a federal agency.
• ​Foundational Skills: Understanding of the Systems Development Life Cycle (SDLC) and its application to secure systems. Effective technical writing and documentation capabilities.
• ​Education & Certifications: Advanced degree preferred, with relevant experience/certifications substituting. Mandatory certification from the list (CISSP, CISA, CISM, CTPRP, or CTPRA).

​This is a full-time, remote Senior InfoSec Analyst role at Rise8, a company focused on transforming the US Government through advanced technology and collaborative, agile practices. This senior role leads the security strategy, ensuring complex systems are secure and compliant with DoD frameworks, with expertise required in cloud security, containerization, and Continuous RMF (cRMF).

• ​Location: Remote, United States.
• ​Salary Range: $115,688 - $144,611 annually.
• ​Experience: 6–10 years of experience in cybersecurity, information assurance, security operations, or related fields.
• ​Focus: Leading security assessments, applying best practices to cloud/container environments, engaging with DoD RMF and cRMF compliance, and incident response.
• ​Culture: Emphasis on pairing, continuous learning, empowerment, and kind collaboration.

​As a Senior InfoSec Analyst, You Will: Leadership, Compliance, and Mentorship

​The analyst drives security posture across the technology stack and serves as a mentor and escalation point within the team.

• ​Assessment & Risk Management: Lead portions of cybersecurity assessments across the technology stack, identifying vulnerabilities and recommending remediation strategies. Assist in shaping cybersecurity risk management activities to prioritize security initiatives.
• ​Compliance & Frameworks: Engage with external cybersecurity and compliance organizations to support alignment with Continuous RMF (cRMF) and DoD frameworks .
• ​Incident Response: Lead incident response investigations for medium-complexity events, conducting root cause analyses and proposing resilience improvements.
• ​Proactive Security: Collaborate with cross-functional teams to apply cybersecurity best practices across systems, applications, and cloud environments.
• ​Mentorship & Reporting: Provide cybersecurity education and regular reporting on risks, metrics, and issues to technical and leadership audiences. Mentor junior team members, supporting skills development.

​Qualifications: DoD, Cloud, Containerization, and Certifications

​The role demands extensive experience with government security compliance coupled with modern cloud and application security proficiency.

• ​Experience & Education: 6–10 years of experience. BA/BS degree in Cybersecurity, Computer Science, or equivalent practical experience.
• ​Core Security Knowledge: Solid understanding of cybersecurity principles, including risk management, vulnerability management, encryption, boundary defense, auditing, and authentication.
• ​Platform Security: Proficient with cloud, application, and platform security practices, including CIS benchmarks, container security, and cloud-native security tools.
• ​Security Technologies: Experience implementing and managing technologies such as firewalls, IDS/IPS, anti-malware, vulnerability scanners, encryption technologies, and IAM platforms.
• ​DoD Compliance: Strong familiarity with DoD security frameworks (e.g., DoD RMF, NIST 800-53) and exposure to Impact Level (IL4, IL5, IL6) requirements.
• ​Certifications (Required/Plus):
  • ​Required: CISSP (or Associate CISSP), CISM, CySA+, or equivalent.
  • ​Plus: Cloud certifications (AWS, Azure, or GCP) or security-related certifications (e.g., Security+, CCSK).
• ​Preferred Experience:
  • ​Experience working within a Continuous RMF (cRMF) environment.
  • ​Hands-on experience with cloud security tools, vulnerability management platforms, and compliance automation frameworks.

​Benefits Highlights (Provided by Rise8)

• ​Retirement: 401k match at 10% gross pay.
• ​PTO: 4 weeks accrued PTO/sick leave, 11 Federal holidays, plus your birthday, jury duty, and bereavement.
• ​Education: Accrued budget of up to $3,500 per year for professional development.
• ​Equipment: Company-provided MacBook Pro.
• ​Wellness: Annual wellness budget ($500) or a $75 monthly credit towards a Life Time membership.