This is a full-time, entry-level Data Analyst I role at CorVel, a risk management solutions provider. The analyst is responsible for turning data into insights to inform decisions and drive profit across multiple departments. This role involves basic data cleaning, analysis, and reporting, working closely with senior team members and internal customers.
- Location: Remote or Hybrid (Based out of Irvine, CA 92614, USA).
- Pay Range: $65,436 – $98,982.
- Experience Required: 1–2 years of experience with data analysis.
- Education: College degree, preferably in a quantitative field (equivalent experience accepted).
- Focus: Basic data preparation, SQL querying, Power BI/dashboard assistance, supporting senior analysts, and working with internal customers across the organization.
Essential Functions: Support, Analysis, and Reporting
The Data Analyst I works under direction to deliver foundational analysis and support for executive-level decision-making.
- Data Preparation & Analysis: Performs basic data cleaning, analysis, and reporting under the direction of manager and/or senior team members. Analyzes results of collected data using statistical tools and provides ongoing reports.
- Reporting & Dashboards: Assists senior team members with producing dynamic, meaningful, clear, and informative reports and/or dashboards using standard business intelligence tools.
- Stakeholder Support: Works closely with internal customers to build relationships, continuously gaining a deeper understanding of relevant data and processes to build analytical solutions that meet business needs.
- Development Support: May assist with report development, specification design, and the facilitation of report testing.
Required Knowledge & Skills
The position requires foundational knowledge of key analytical tools, particularly SQL and Excel, and familiarity with a statistical programming language.
- SQL: Basic proficiency in SQL required with the ability to retrieve data using SELECT, WHERE, FROM queries and understand basic high-level relational database concepts like joins.
- BI Tools: Basic Power BI understanding and proficiency is required.
- Programming: Familiarity with at least one programming language required, such as R, STATA, MATLAB, Python, etc.
- Spreadsheets: Strong Microsoft Excel skills.
- Soft Skills: Strong analytical skills with attention to detail and accuracy. Excellent written and verbal communication skills. Ability to work both independently and within a team environment.
Job Features
| Job Category | Data, Project & Program Management |
This is a full-time, remote (United States) Data Analyst role at Clever, a venture-backed real estate technology company. This role, described as a Senior Data Analyst in the overview, will primarily support the marketing and public relations (PR) department by producing data-driven reports for public consumption. The analyst will also be key in internal analytics projects, focusing on residential real estate market trends, consumer finance, and building the internal analytics platform.
- Location: Remote, United States.
- Salary: $70,000 - $130,000.
- Experience Required: 3+ years of data analysis experience, ideally in multiple industries.
- Focus: Market research (surveys, custom trend analysis), public data reporting for PR/marketing, supporting non-data stakeholders, and contributing to data architecture discussions.
- Technical Skills: Proficiency with SQL, Python and/or R, and high proficiency with spreadsheets.
Key Responsibilities: Public Insights and Platform Development
The analyst will be instrumental in translating complex real estate data into accessible narratives for global readers while also enhancing internal data capabilities.
- Marketing & Public Data Analysis: Develop key analyses for the marketing team, including running and analyzing surveys, developing custom analyses of market trends using internal and external data, and supporting outreach projects.
- Stakeholder Communication: Help cross-functional teams maximize value from the internal analytics platform by effectively presenting data to non-data stakeholders.
- Data Product Collaboration: Collaborate with cross-functional teams to translate business requirements into reliable data products.
- Platform Evolution: Contribute to architecture discussions and help define the evolution of the data platform.
- Problem-Solving: Proactively propose alternative solutions, weighing risks and rewards thoughtfully.
Qualifications and Technical Skills
The role requires strong foundational technical skills in data manipulation and exceptional ability to communicate data insights clearly.
- Experience: 3+ years of data analysis experience.
- Technical Proficiency:
- Proficiency with SQL, Python and/or R.
- High proficiency with spreadsheets (v look ups, pivot tables).
- Communication: Strong written and verbal communication skills and the ability to present clear, concise data summaries to non-technical audiences.
- Nice to Have: Familiarity with Databricks.
Job Features
| Job Category | Data, Marketing, Project & Program Management |
This is a full-time Senior Data Analyst role at Array, a remote-first financial innovation platform providing credit, identity, and privacy monitoring tools. This position is highly technical, focusing on partnering with Engineering and Product teams to solve deep technical challenges related to data quality, code, and system reliability within the fintech space.
- Location: Remote (USA or Canada).
- Compensation Transparency: $300 per day for the 2-day paid interview. $80 per hour for the 180-day contract/probationary period. (Full-time salary not listed).
- Reporting: Likely reports to the CEO or Data Lead.
- Hiring Process Note: Includes a 2-day paid interview technical assignment and a potential 180-day contract or probationary period.
- Focus: Tracing issues through pipelines/code, improving data reliability, technical documentation (Jira), and accelerating analysis using AI tools.
You Will: Debugging, Reliability, and Technical Culture
The Senior Data Analyst is expected to be deeply curious about system mechanics and drive technical clarity and reliability across product releases.
- Technical Debugging: Trace issues back through data pipelines or code to uncover why something isn't behaving as expected.
- System Reliability: Partner with engineers and product managers to make data and code more reliable, faster, and easier to understand.
- Technical Documentation: Write clear, concise Jira tickets explaining findings, fixes, and prevention methods.
- Culture Building: Help build a culture of technical curiosity—where asking why and testing assumptions is part of every release.
- AI Leverage: Instinctively use AI tools to think, build, and ship faster.
- Insight Generation: Develop data-driven insights that help improve user experience and drive conversion rates.
Required Skills and Qualifications
This role requires a unique blend of analytical rigor, coding literacy, and an entrepreneurial mindset for problem-solving.
- Technical Literacy:
- Strong knowledge of SQL.
- Familiarity with Python.
- Experience digging into JSONs, logs, or API outputs to validate data flow.
- Comfortable reading and reasoning about someone else’s code, identifying performance bottlenecks.
- Problem-Solving: The ability to turn ambiguous problems into clear next steps and a mindset that values being less wrong each time (humility and rigor).
- AI Mindset: A belief that AI is reshaping work, and the instinct to use it to accelerate tasks.
- Core Trait: A curiosity about how systems, code, and data work; a knack to pull things apart and see what’s really happening under the hood.
Job Features
| Job Category | Data, Fintech, Technical Services |
This is a full-time, remote-first Product Data Analyst role at ElevenLabs, a rapidly growing research and product company defining the frontier of audio AI. The role is titled "Data Scientist focused on product growth" in the summary, indicating a deep analytical focus on driving business metrics. This is a high-impact, hands-on role dedicated to accelerating activation, retention, and revenue growth across their core Creative Platform used by millions of creators and marketers.
- Location: Remote-first (Anywhere from US East Coast to Europe, with office options in London, New York, Dublin, and Warsaw).
- Experience Level: Not explicitly stated by years, but requires Expertise in product analytics and a proven ability to independently shape the product roadmap.
- Focus: Product analytics, SQL/Python proficiency, A/B testing design/analysis, metric definition (retention, LTV, activation), and ensuring data quality/telemetry implementation.
- Culture: High-velocity, impact-driven, AI-first, with minimal bureaucracy.
About the Role: Driving Growth and Shaping the Roadmap
The analyst partners deeply with Product and Engineering to translate user engagement data into actionable insights and prioritized features.
- Growth Acceleration: Uncover and drive insights that accelerate activation, retention, and revenue growth across the Creative Platform.
- User Engagement Analysis: Partner with Product and Engineering to understand how users engage, where they drop off, and which experiences create long-term value (LTV).
- Metric Definition: Define and instrument key metrics that measure the health of the creator journey, identify growth levers, and help prioritize features and experiments.
- Experimentation Rigor: Proven ability to design and analyze A/B tests, ensuring statistical integrity and actionable results.
- Hands-on Ownership: Expected to be hands-on—implementing telemetry, diving into the codebase to debug logging issues, or implementing new tools as the data stack evolves.
- Required Product Sense: Strong product sense with an ability to put yourself in the shoes of users and derive actionable insights from qualitative and quantitative data.
Required Technical Expertise
The position requires a strong blend of product intuition and data science rigor, including proficiency in the core data analysis toolkit.
- Technical Core: Expertise in product analytics, with a strong foundation in SQL and Python and familiarity with analytics tools across the data stack.
- Key Metrics Knowledge: A deep understanding of key product metrics such as retention, activation, and LTV.
- Bonus Skills: Experience building data pipelines and dashboards is a bonus.
Job Features
| Job Category | Business services, Data |
This is a full-time, remote Data Services Analyst role at Candid, a nonprofit organization providing data and insights about the social sector. The role is a client-facing and technical position, focusing on delivering custom data services, insights, and reporting to both external and internal stakeholders. Key responsibilities include managing the end-to-end delivery of custom data extracts and building high-quality reporting and automation solutions.
- Location: Remote, United States.
- Schedule: 35-hour work week, Monday through Friday.
- Compensation: $45,000 - $73,000 (Adjusted based on locality, with NYC representing the high end).
- Experience Required: Minimum of 1–3 years of related experience.
- Focus: Custom data set delivery, client consultation, automation of processes, building technical frameworks for data delivery, dashboard development, and ensuring data consistency.
- Domain Knowledge (Plus): Knowledge of non-profit data or the non-profit sector is a big plus.
Responsibilities: Custom Delivery, Automation, and Stakeholder Liaison
The analyst acts as a data expert and consultant, bridging client needs with technical solutions while promoting internal efficiency.
- Custom Data Delivery: Deliver custom data sets to customers—working with the sales team to scope client needs, consulting on estimates, handling client communication, design, documentation, and delivery of custom data extracts, and providing post-delivery support.
- Solution Building: Build and maintain high-quality reporting and analysis solutions. Design, build, and maintain visualization dashboards for stakeholders.
- Automation & Efficiency: Increase organizational efficiencies through the design and implementation of automated processes wherever possible. Design, build, and maintain technical frameworks for consistent, quick delivery of data sets.
- Data Consistency: Accountable for building and maintaining Data Services product offerings and ensuring data consistency between Candid's subscription tools and reporting database.
- Collaboration & Review: Document and share developed code for peer review, and peer review other team members' work. Partner and collaborate with internal teams on cross-departmental projects.
- Stakeholder Management: Able to "translate" business needs to more technically oriented teammates and vice-versa. Partner with the sales team to deliver high customer satisfaction.
Required Skills and Technical Experience
The role requires strong SQL proficiency and foundational knowledge of data handling, with a preference for modern data and cloud tools.
- Core Technical Skills:
- Proficient writing moderate to complex SQL working against large relational databases.
- Ability to apply various mathematical calculations and statistical techniques to datasets.
- Experience (1–3 years): Experience in gathering requirements from stakeholders and providing data solutions that meet those needs.
- Preferred Tools/Skills (A Plus):
- Experience in using SQL Server Tools such as SQL Integration Services, Reporting Services, Management Studio.
- Demonstrated ability to write Python, C#, and related languages.
- Experience with data visualization tools such as PowerBI and Tableau.
- Experience with machine learning or natural language processing.
- Experience with Azure DevOps for source and version control.
- Experience with Snowflake and AWS for cloud computing.
- Soft Skills: Strong listener, professional in communications, able to work comfortably under minimal supervision, and possess a detail-oriented yet "big picture" approach.
Job Features
| Job Category | Data, Operations Management |
This is a full-time Actuarial Data Analyst role at Florida Blue/GuideWell, focusing on providing essential data support for actuarial activities. The analyst is responsible for creating, reconciling, summarizing, and analyzing data used in various actuarial analyses. A critical component of this job involves supporting the month-end close process, requiring availability/on-call work during the first week of each month to manage data loads.
- Location: Remote, United States.
- Annualized Salary Range: $$75,700 - $123,000.
- Typical Annualized Hiring Range: $$75,700 - $94,600.
- Experience Required: 5+ years of related work experience in programming, database management, or data validation.
- Key Focus: Data reconciliation/analysis for Actuarial, month-end data loading, data process documentation, and troubleshooting technical data issues.
- Market Segments: Supporting Medicare, Individual, Local Group, and National Account Market Segments.
Essential Functions: Reconciliation, Troubleshooting, and Close Support
The analyst acts as the key data expert for the Actuarial team, ensuring data quality, consistency, and timely availability.
- Data Management & Analysis: Create, reconcile, summarize, and analyze data used for actuarial analyses.
- Month-End Criticality: As part of the month-end close process, the analyst must manage data loading between the 1st and 5th of each month and be available to work or be on-call during this time.
- Technical Support: Troubleshoot, identify, report, and resolve technical issues in a timely manner. Train others regarding data sources, data limitations, and efficient retrieval methods.
- Process Improvement: History in documenting data processes and identifying redundancies and improvements. Experience in process improvement and workflows.
- Methodology Development: Support the design and development of methods, tools, models, frameworks of analysis, and research techniques using BCBSF business and industry relation information.
- Actuarial Representation: Represent Actuarial in workgroups, attending meetings, and UAT (User Acceptance Testing), including creating and executing test cases.
Required and Preferred Skills
The role demands strong technical execution skills, particularly in Excel and database management, with a preference for scripting knowledge.
- Required Experience (5+ years): Experience in programming, database management, or data validation.
- Core Technical Skills:
- Expert Excel skills including VBA, Pivot Tables, using Formulas, and linking to data.
- History in documenting data processes and identifying redundancies and improvements.
- Preferred Technical Skills:
- Working knowledge of scripting languages and data analysis tools, including R Studio.
- Experience with user testing and ability to create and execute test cases.
- Communication: Experience working with cross-functional teams and customers to understand their needs and provide solutions.
Job Features
| Job Category | Data |
This is a full-time Data Warehouse Analyst role at WorldTrips (a member of Tokio Marine HCC), specializing in specialty travel medical and trip protection insurance. This is a 1099 contract role anticipated to last 3-6 months and is fully remote (USA). The analyst is responsible for the design, development, maintenance, and support of the enterprise data warehouse system, focusing heavily on ETL processes and Microsoft BI solutions.
- Location: Remote, USA (1099 Contract).
- Duration: Anticipated 3–6 months.
- Experience Required: Minimum of two years of relevant and progressive professional experience.
- Focus: Designing logical and physical data warehouse architecture, developing ETL packages, ensuring data accuracy/consistency, and utilizing Microsoft BI technology for solutions.
Responsibilities: Architecture, ETL, and BI Delivery
The analyst ensures the integrity and functionality of the data warehouse, making data accessible and actionable for the business.
- Architecture & Design: Determine logical and physical architecture requirements necessary to integrate new or existing sources into an Enterprise Business Intelligence (data warehouse) system. Continuously improve how the system functions.
- Database Management: Review, evaluate, design, test, implement, and maintain company databases to support the organization's data needs.
- ETL Development: Write code for database access, modifications, and construction including stored procedures and Extract/Transfer/Load (ETL) packages to integrate new or existing data sources.
- Change Data Capture (CDC): Integrate Change Data Capture software to monitor transaction data from source systems.
- BI Delivery: Deliver Business Intelligence Solutions using Microsoft technology such as SharePoint, Excel, Analysis Services, Reporting Services, and others.
- Standards & Security: Create standards for installation, operational support, and information security to adhere to corporate IT standards.
- Consultation: Consult with clients and team members to obtain requirements needed for constructing business intelligence architectures.
Required Skills and Experience
The position demands technical expertise in database and ETL development, paired with strong organizational and communication abilities.
- Technical Experience: Minimum of two years of relevant and progressive professional experience in a related field.
- ETL/Database Tools: Must be proficient in writing code for ETL packages, stored procedures, and handling database modifications and access. Experience integrating Change Data Capture software is necessary.
- BI Tools: Experience delivering BI Solutions using the Microsoft stack (Analysis Services, Reporting Services, SharePoint, Excel).
- Soft Skills: Demonstrated ability of exceptional attention to detail to manage multiple tasks simultaneously. Excellent written and verbal communication skills.
Job Features
| Job Category | Data, Support Service |
This is a full-time Fraud Data Analyst role at Amivero, supporting the federal government in developing fraud analytic models for critical, mission-driven IT systems. The analyst will be instrumental in using data analytics to inform program strategy, policy configuration, and the acquisition of new technology to counter evolving identity fraud threats within the customer's ecosystem (likely Login.gov or similar federal identity services).
- Location: US (No specific state listed, but likely remote with federal context).
- Experience Required: Bachelor’s Degree plus 10 years of relevant experience. The ideal candidate is seasoned in Fraud/Identity operations.
- Clearance: US Citizenship required to obtain Public Trust.
- Focus: Developing and maintaining fraud models (identity fraud, account takeover, synthetic identity fraud), fraud risk assessment, anomaly detection, policy configuration tuning (LexisNexis), and KPI reporting/dashboarding (Tableau).
What Your Day Might Include: Modeling, Risk, and Infrastructure
The analyst operates across the full spectrum of fraud management, from developing models and conducting risk assessments to collaborating on data infrastructure improvements.
- Fraud Modeling: Develop and maintain fraud models to detect identity fraud, account takeover, and synthetic identity fraud. Incorporate relevant data from third-party technology providers to continuously improve and enhance these models.
- Fraud Analytics: Conduct data analytics on new account creation attempts and investigative findings to identify fraudulent trends and patterns. Monitor fraud analytics which may include Identify and Entity Resolutions/Detection, Social Network Analysis, Unsupervised Monitoring.
- Detection Systems: Establish in-range and out-of-range anomaly behaviors and indicators that will trigger action. Continuously monitor model performance as fraud schemes evolve.
- Strategy & Policy: Use data analytics findings to inform program strategy, LexisNexis fraud policy configuration tuning, team staffing levels, and the acquisition of new technology.
- Risk Management: Conduct fraud risk assessments to understand program vulnerabilities, establish risk tolerances, and develop risk responses. Develop a fraud response plan including scenario planning and exercises.
- Reporting & Collaboration: Support the development of dashboards in Tableau to report KPIs and suspicious activity alerts. Collaborate with DevOps and SecOps teams to improve the data infrastructure and engineering needed to deploy, scale, and operationalize the analytics program.
Required Qualifications and Technical Skills
The position requires senior-level experience, strong analytical skills, and proficiency in the tools necessary for modern data-driven fraud detection.
- Experience: 10+ years of relevant experience in data analytics, with seasoning in Fraud/Identity operations.
- Technical Tools: Experience with SQL, Python, and analytics tools.
- Visualization: Skilled in data visualization and enabling dynamic dashboards in Tableau.
- Database Knowledge: Experience with both relational and non-relational database systems and database architecture.
- Soft Skills: Ability to work autonomously, deliver high-quality work, and succinctly articulate complex ideas and explain technical decisions to both technical and non-technical audiences.
Job Features
| Job Category | Data, Information Technology, Security |
This is a full-time, remote (US) Analyst, Fraud Intelligence role at Extend, a company that provides AI-driven post-purchase solutions, including product and shipping protection. The Fraud Intelligence team is responsible for building cutting-edge analytics engines and fraud detection models. This role focuses on applying strong business acumen and analytics to uncover fraud patterns, influence business strategy, and rapidly develop mitigation solutions against emerging threats.
- Location: Remote, within the Continental United States.
- Expected Pay Range: $110,000 - $135,000 per year salaried.
- Experience Required: 2+ years of experience in fraud analytics, ideally within an e-commerce or retail environment.
- Education: Bachelor’s degree or higher in a quantitative field (Mathematics, Statistics, Computer Science, etc.).
- Focus: Analyzing large-scale behavioral/transactional data, SQL/Python proficiency, statistical modeling, and developing monitoring frameworks to stop fraud.
- Environment Preference: Prior experience in a startup or high-growth environment is preferred.
What You'll Be Doing: Detection, Strategy, and Mitigation
This is a high-ownership role where the analyst’s work directly impacts the company's bottom line and protects its merchant partners.
- Fraud Pattern Analysis: Analyze large-scale behavioral, transactional, and interaction data to uncover signals indicative of fraud and abuse. Apply strong business acumen to rapidly identify actionable insights, analyze fraud patterns, and validate hypotheses.
- Mitigation Development: Respond swiftly to emerging fraud threats by developing monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams.
- Strategic Influence: Influence business cases and pricing strategies, and contribute to proof-of-concept initiatives with prospective merchants.
- Cross-Functional Partnership: Partner closely with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute effective fraud strategies.
- Team Culture: Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams.
Required Qualifications and Technical Skills
The successful candidate must be a hands-on, proactive, data-obsessed professional proficient in core data science concepts and tools.
- Domain Experience: 2+ years of experience in fraud analytics, ideally within an e-commerce or retail environment. Deep understanding of user behavior and fraud patterns.
- Technical Proficiency:
- Proficiency in SQL is mandatory.
- Experience in Python (pandas, NumPy, scikit-learn, etc.) is required.
- Strong grasp of core data science and analytics concepts, including statistical analysis, modeling, and data wrangling.
- Soft Skills: Exceptional communication and stakeholder management skills, with a proven ability to work cross-functionally and influence outcomes. High attention to detail and strong intellectual curiosity.
Job Features
| Job Category | Business services, Information Technology, Security |
This is a full-time, remote (USA) Senior Data Analyst role at Quantiphi, an award-winning Applied AI and Big Data software and services company. This senior position requires deep domain expertise in the (Re)insurance industry combined with advanced technical skills in data modeling, ETL pipeline development, and business intelligence reporting. The analyst is expected to provide technical leadership and influence strategic initiatives.
- Location: Remote, USA.
- Experience Level: 7+ years of experience in data analysis and data management.
- Domain Experience (Required): 4+ years of experience in the (Re)insurance domain across US P&C, International Markets, and Life, Accident & Health.
- Focus: Designing/maintaining data models and ETL workflows (SSIS, Python, Databricks), developing BI dashboards (Power BI, SQL, Spark), and managing large-scale data systems within the insurance sector.
Roles and Responsibilities: Leadership, Modeling, and Data Engineering
The Senior Data Analyst leads complex data management initiatives and provides technical guidance while working autonomously in a fast-paced environment.
- Data Management Leadership: Lead data management initiatives across diverse (Re)insurance segments. Perform advanced data analysis and manage large-scale data systems to support business decision-making.
- ETL and Modeling: Design, develop, and maintain data models, ETL workflows, and data processing pipelines using SSIS, Python, Databricks, and related technologies.
- BI and Reporting: Develop dashboards, reports, and insights using Power BI, SQL, Spark, and other BI tools.
- Collaboration & Influence: Collaborate with cross-functional and global teams to drive data-driven solutions. Influence stakeholders and contribute effectively to strategic initiatives.
- Team Guidance: Provide technical leadership within the data team, fostering collaboration and guiding junior team members.
- Documentation: Ensure high-quality documentation for data analysis, data management, and reporting processes.
Required Skills and Qualifications
The successful candidate must possess a blend of extensive technical expertise in the data stack and specific, required knowledge of the insurance industry.
- Domain Expertise: 4+ years of experience in the (Re)insurance domain across US P&C, International Markets, and Life, Accident & Health.
- Core Technical Expertise:
- Strong expertise with business intelligence and query tools: Power BI, SQL, Spark.
- Solid understanding of data modelling and data processing frameworks such as SSIS, Python, and Databricks.
- Experience: 7+ years of experience in data analysis and data management.
- Soft Skills: Strong leadership qualities, proven ability to work independently with limited oversight, exceptional analytical and critical-thinking skills, and excellent documentation, written, verbal, and presentation capabilities.
- Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
Job Features
| Job Category | Data, Information Technology, Technical Services |
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.
Job Features
| Job Category | Data |
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.
Job Features
| Job Category | Data, Information Technology, Software Engineering |
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.
Job Features
| Job Category | Business services, Data |
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.
Job Features
| Job Category | Data, Marketing |
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.
Job Features
| Job Category | Data, Information Technology |