​This is a specialized, US-Remote Technical Support Engineer role at Sovos, a global leader in tax compliance technology. This position requires an individual with software engineering principles to resolve the most challenging technical issues. You will act as a product expert, bridging the gap between customer support and product development by performing code-level analysis and driving product stability and evolution.

• ​Location: US-Remote.
• ​Experience: 2+ years in technical support or software engineering, preferably in the SaaS industry.
• ​Focus: Handling escalated, complex technical cases, performing in-depth analysis of product architecture (APIs, databases), contributing fixes through code reviews, and utilizing AI-powered tools for diagnostics.
• ​Key Contribution: Serving as both a technical escalation point and a product advocate, reducing technical debt, and enhancing customer experience.

​Key Responsibilities: Engineering-Driven Support

​The work combines advanced troubleshooting with core software development activities to resolve high-complexity issues and improve the core product.

• ​Advanced Troubleshooting: Handle escalated, highly complex technical support cases requiring deep product knowledge and code-level understanding.
• ​Technical Deep Dives: Perform in-depth analysis of product architecture, APIs, databases, and integration points. Run SQL queries to troubleshoot advanced problems.
• ​Development & Fixes: Conduct code reviews and contribute fixes for customer-impacting issues in collaboration with the engineering team. Develop custom scripts, tools, and utilities to diagnose issues and implement workarounds.
• ​AI Integration: Leverage AI-powered tools to enhance diagnostics, automate troubleshooting processes, and accelerate issue resolution.
• ​Product Evolution: Participate in product development cycles, including feature planning, beta testing, and release validation.
• ​Consultation & Implementation: Provide technical consultation on enterprise-level implementations, custom integrations, and lead technical discovery sessions.
• ​Optimization: Analyze system performance issues and provide optimization recommendations.
• ​On-Call: Contribute to on-call rotations and provide guidance during critical incidents.

​Required Skills and Technical Foundation

​The ideal candidate blends customer focus with a robust engineering background and familiarity with modern tech stacks.

• ​Programming & Databases: Proficiency in at least one programming language relevant to the product stack (e.g., JavaScript, Python, Java, C#). Strong understanding of databases, SQL, API design, and integration patterns.
• ​Engineering Practice: Ability to read and understand code bases to determine root causes. Experience with software development methodologies and Git (version control systems).
• ​Cloud & Networking: Advanced knowledge of web technologies, frameworks, and cloud infrastructure (AWS, Azure, GCP). Understanding of networking concepts, security principles, and authentication protocols.
• ​Troubleshooting: Experience with performance tuning, debugging, and optimization techniques.
• ​Documentation: Excellence in technical documentation with the ability to explain complex concepts clearly.
• ​Mindset: Customer-focused mindset balanced with engineering discipline and best practices.

​This is a full-time, remote (US - Texas preferred, but any remote US location) Technical Support Engineer role at Pegasystems (Pega), providing world-class engineering support for Pega's enterprise CRM and low-code platform applications. The engineer acts as a trusted advisor to global clients, focusing on timely resolution of complex technical issues and driving support incidents to maintain service level agreements (SLAs).

• ​Location: Remote (US - preference for CST/MST to cover West Coast hours).
• ​Clearance Requirement: US Citizenship is required due to the nature of occasional work with FedRamp.
• ​Salary Range: $69,900 - $104,500 USD annually (plus potential bonus/commission).
• ​Experience: 2+ years of application product development or support with Java (strongly preferred), C++, or C#.
• ​Focus: Troubleshooting complex enterprise application issues, leveraging strong knowledge of Java/OOP, databases, and various operating systems, and driving adoption of Pega products.

​Key Responsibilities and Accountabilities

​The engineer is the face of Pega, responsible for managing the resolution of complex software issues and maintaining high customer satisfaction in a 24x7 environment.

• ​Technical Support: Provide world-class technical support for Pega's products, applying technical competence to support resolution of client issues daily.
• ​Issue Ownership: Demonstrate ownership and drive support incidents with proactive actions to avoid escalations and meet Pega's service level agreements (SLAs).
• ​Collaboration: Collaborate with peers, product teams, and field engineers to research and resolve problems in time-critical situations.
• ​Client Relationship: Maintain exceptional customer relationships by handling client questions and concerns with speed, accuracy, and professionalism.
• ​Expertise Development: Become a subject matter expert in product functionality and continually learn about new technologies like AI to improve effectiveness.
• ​Schedule: Flexibility to provide coverage during adjusted hours when needed, and participate in a rotating on-call schedule.

​Required Skills and Technical Accomplishments

​The role demands a strong foundation in application development technologies and troubleshooting methodology.

• ​Core Languages: 2+ years experience with Java (strongly preferred), C++, and/or C#.
• ​Programming Concepts: Strong understanding of object-oriented programming (OOP) and design.
• ​Databases: Working knowledge of Database technologies (PostgreSQL, MSSQL, Oracle, DB2).
• ​Operating Systems: Experience with various operating systems (Linux, Windows, Solaris, zOS).
• ​Troubleshooting: Strong troubleshooting and debugging experience across complex end-to-end application deployments and architecture.
• ​Certification (Preferred): Pega Certified System Architect certification is a plus.
• ​Mindset: Must be a self-starter, highly motivated, and able to shift directions quickly when priorities change.

​This is a remote Assigned Support Engineer role at GitLab, a high-growth, AI-powered DevSecOps platform company. This engineer acts as a trusted technical advisor to GitLab’s largest customers (Self-managed, GitLab Dedicated, and GitLab.com). The role is highly proactive, focusing on preventing operational disruption, solving complex, critical issues, and influencing the product roadmap based on customer needs.

• ​Location: Remote, Americas.
• ​Focus: Combining deep Linux systems expertise, GitLab/CI/CD knowledge, and advanced troubleshooting to manage complex, critical customer cases end-to-end.
• ​Key Activity: Building strong, proactive relationships with key customer stakeholders to prioritize strategic technical blockers.
• ​AI Expectation: Expected to incorporate AI into daily workflows as a core productivity multiplier.

​Key Responsibilities: Proactive Support and Technical Expertise

​The engineer's impact is measured by customer trust, reduced critical incidents, and the creation of reusable support content.

• ​Proactive Customer Support: Provide technical support to the largest customers, ensuring their GitLab environments remain stable and performant.
• ​Relationship Building: Build strong, proactive relationships with key customer stakeholders, helping them prioritize and address their most important technical blockers.
• ​Complex Troubleshooting: Troubleshoot and resolve complex, critical, and sensitive issues using tools like Zendesk, logs, and Linux utilities such as strace, communicating via email and video conferencing.
• ​Collaboration and Advocacy: Collaborate with Product, Development, Infrastructure, Customer Success, and Sales teams to drive bug fixes, influence feature development, and shape the product roadmap.
• ​CI/CD Advising: Act as a technical expert on GitLab and Continuous Integration / Continuous Delivery (CI/CD) implementations, advising customers on incident mitigation.
• ​Content Creation: Create and improve support content, including documentation and knowledge articles, to empower customers and other GitLab teams to resolve issues more efficiently.

​Required Skills and Background

​The role demands a strong background in managing complex cases and deep Linux/code-level troubleshooting ability.

• ​Case Management: Experience managing complex, customer-facing support cases end to end, from initial inquiry and triage through reproduction, escalation, and resolution.
• ​Advanced Troubleshooting: Advanced troubleshooting skills to investigate ambiguous, multi-layered technical issues and identify root causes across applications, infrastructure, and integrations.
• ​Linux Systems Expertise: Strong Linux systems administration knowledge (LFCE or RHCE equivalent), including performance analysis and low-level debugging tools.
• ​GitLab/CI/CD Knowledge: Practical experience with GitLab and CI/CD, understanding how different deployment models and outages affect customers.
• ​Coding/Scripting:
  • ​Proficiency with scripting languages (such as Ruby or Bash).
  • ​Familiarity with model-view-controller (MVC) frameworks, preferably Ruby on Rails.
• ​Communication: Effective communication skills for explaining complex technical topics to audiences with varying technical backgrounds and for building rapport.
• ​DevOps Familiarity: Familiarity with DevOps practices and technologies such as Kubernetes and serverless platforms.

​This is a full-time, remote Tier 2 Support Engineer role at Vantaca (a high-growth, "unicorn" SaaS company in the industry platform space). The engineer will be part of the Engineering Support team, primarily responsible for troubleshooting, diagnosing, and triaging escalated customer issues. A key component of this role is the ability to make code fixes (C#) and data adjustments (SQL) to resolve problems and maintain high customer satisfaction (CSAT).

• ​Location: Remote (Wilmington, NC presence mentioned, but remote is specified).
• ​Experience: Minimum 2 years of experience as a Support Engineer at a SaaS company.
• ​Focus: Root cause analysis, C# code troubleshooting in Visual Studio, stored procedure fixes in SSMS, SQL data adjustments/exports, and process automation to resolve issues escalated from Tier 1.
• ​Key Metrics: 10 customer tickets solved per day and >=80\% First and Next Reply SLA Attainment.

​Key Responsibilities: Technical Resolution and Code Diagnosis

​The role requires a high level of technical skill to diagnose issues within the application's code and database layers.

• ​Triage and Escalation: Triage issues escalated to Tier 2 Support and escalate to the core Engineering Team Lead as necessary.
• ​Code Troubleshooting: Troubleshoot C# code with Visual Studio’s debugger to identify root causes and provide mitigating solutions.
• ​Database Fixes: Troubleshoot stored procedures within SSMS (SQL Server Management Studio) and resolve or escalate issues.
• ​Data Adjustments: Run SQL queries to provide clients with exported datasets or make necessary data adjustments to ensure the proper function of the application.
• ​Collaboration: Work with Product, Design, and Engineering teams to resolve complex bugs.
• ​Process Improvement: Work within the Support team to automate and simplify processes to increase efficiency.
• ​Documentation: Create, contribute to, or validate documentation on known bugs and processes.

​Required Skills and Experience

​The position demands a specific technical skillset focused on the Microsoft stack and database management.

• ​SaaS Experience: Minimum 2 years as a Support Engineer in a SaaS environment.
• ​Technical Stack: Familiarity in C#, .NET, and SQL server.
• ​Troubleshooting Tools: Aptitude in navigating and troubleshooting in Visual Studio and working with SSMS.
• ​Critical Thinking: Strong critical thinking and troubleshooting skills.
• ​Communication: Excellent communication skills, including the ability to convey technical topics to a non-technical audience (critical for customer experience).

​This is a remote Senior Data Analyst role at Array, a financial innovation platform (fintech), that focuses heavily on the technical aspects of data, code reliability, and system performance. The analyst will lead engineering and product teams in solving complex data quality and performance challenges, working at the intersection of data, engineering, and product strategy.

• ​Location: Remote (USA or Canada).
• ​Compensation (Contract Period): $80/hour for the 180-day contract/probationary period.
• ​Hiring Process: Includes a 2-day paid interview technical assignment ($300/day).
• ​Reporting: Likely reports to the CEO or Data Lead.
• ​Focus: Chasing root causes, tracing issues through data pipelines and code, optimizing data and code for reliability and speed, and leveraging AI tools to accelerate work.

​Key Responsibilities: Root Cause Analysis and System Improvement

​This role is highly technical, demanding curiosity about systems and a focus on continuous improvement in data reliability.

• ​Technical Troubleshooting: Trace issues back through data pipelines or code to uncover why something isn’t behaving as expected.
• ​Code Reliability Partnership: Partner with engineers and product managers to make data and code more reliable, faster, and easier to understand.
• ​Data Investigation: Dig into JSONs, logs, or API outputs to validate data flow through the system.
• ​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 Acceleration: Leverage AI tools to think, build, and ship faster, viewing AI as an essential part of accelerating all work.

​🛠️Required Skills and Mindset

​The ideal candidate has a deep technical curiosity and strong skills in querying and reading code.

• ​Technical Expertise:
  • ​Strong knowledge of SQL.
  • ​Familiarity with Python.
  • ​Comfort reading and reasoning about someone else’s code, identifying where things might be slowing down.
• ​Investigative Mindset: A knack for pulling things apart to see what’s really happening "under the hood."
• ​Problem Solving: The ability to turn ambiguous problems into clear next steps and chase root causes.
• ​Business Impact: Analytical skills to develop data-driven insights that help improve user experience and drive conversion rates.
• ​AI Belief: A belief that AI is reshaping work and the instinctive use of it to accelerate everything done.

​This is a remote Senior Data Analyst role at Clever, a venture-backed real estate technology company. The role primarily supports the marketing and public relations (PR) department by producing data-driven reports for public consumption, focusing on insights about the residential real estate market, personal finance, and consumer trends. The analyst will also be involved in internal analytics and platform evolution.

• ​Location: Remote (United States).
• ​Salary Range: $70,000 – $130,000/year.
• ​Experience: 3+ years of data analysis experience, ideally in multiple industries.
• ​Focus: Designing and analyzing surveys, developing custom market trend analyses using internal/external data for media outreach, effective presentation of data to non-technical stakeholders, and platform architecture contributions.

​Key Responsibilities: Public Reporting and Internal Enablement

​The analyst is a key link between the company's data and its public-facing educational content and media outreach.

• ​Public Relations & Research: Develop key analyses for the marketing team, including running and analyzing surveys, and developing custom analyses of market trends using internal and external data for outreach projects.
• ​Stakeholder Communication: Help cross-functional teams maximize value from the internal analytics platform by effectively presenting data to non-data stakeholders (PR, Marketing, Editors).
• ​Platform Contribution: Contribute to architecture discussions and help define the evolution of the data platform.
• ​Content Production Support: Become a key support for Algorithmic Content teams, enabling data- and AI-powered content production pipelines (6-month goal).
• ​Data Product Translation: Collaborate with cross-functional teams to translate business requirements into reliable data products, including breaking down complex product specs into detailed tickets for data engineers.

​Required and Preferred Skills

​The role requires foundational technical skills, strong communication, and adaptability across business units.

• ​Required Technical Skills:
  • ​High proficiency with spreadsheets (v lookups, pivot tables).
  • ​Proficiency with SQL, Python, and/or R.
• ​Communication: Strong written and verbal communication skills and the ability to present clear, concise data summaries to non-technical audiences (essential for PR/media output).
• ​Work Style: Proactively propose alternative solutions, weighing risks and rewards thoughtfully.
• ​Nice-to-Have: Familiarity with Databricks.

​This is a full-time Data Analyst I role at CorVel, focused on turning data into actionable insights to inform decisions and drive profit across multiple departments. This entry-level position involves performing basic analysis, reporting, and supporting senior team members in building complex analytical solutions.

• ​Location: Irvine, CA, USA (open to remote or hybrid).
• ​Pay Range: $65,436 – $98,982 annually.
• ​Experience: 1–2 years of experience with data analysis.
• ​Education: College degree, preferably in a quantitative field (or equivalent experience).
• ​Focus: Basic data cleaning and analysis, supporting executive reporting, gaining a deeper understanding of business data, and solving business challenges.

​Essential Functions & Responsibilities

​The analyst will be responsible for foundational data work and supporting the broader analytics goals of the company.

• ​Data Analysis & Cleaning: Performs basic data cleaning, analysis, and reporting under the direction of management and senior team members.
• ​Reporting & BI: Analyzes results using statistical tools and provides ongoing reports. Assists senior team members with producing dynamic, meaningful, and clear reports and/or dashboards using standard business intelligence tools.
• ​Business Partnership: Works closely with internal customers to build relationships and continuously gain a deeper understanding of relevant data and processes to build analytical solutions that meet business needs.
• ​Documentation: May assist with report development, specification design, and the facilitation of report testing.

​Required Knowledge & Skills

​The role requires fundamental skills in SQL, business intelligence tools, and programming.

• ​SQL: Basic proficiency in SQL is required, including 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.
  • ​Strong Microsoft Excel skills.
• ​Programming: Familiarity with at least one programming language is required, such as R, STATA, MATLAB, Python, etc.
• ​Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy.

​This is a contract Business/System Data Analyst role, available in Minneapolis, MN, or Remote, focused on optimizing customer data management processes and enhancing data integrity and compliance. The analyst will be key in analyzing the lifecycle of corporate and commercial customer records and resolving data integrity issues across systems.

• ​Location: Minneapolis, MN, or Remote (Contract).
• ​Focus: Analyzing customer record lifecycle, documenting data maintenance procedures, defining data field requirements, and collaborating on data integrity and compliance issues.
• ​Required Skills: Proficiency in or willingness to quickly learn the Hogan system. Experience with API payloads and integration tools like Swagger. Advanced Excel skills.

​Responsibilities: Data Lifecycle and Process Documentation

​The analyst is responsible for the detailed documentation and improvement of customer data processes and system governance.

• ​Data Lifecycle Analysis: Analyze and document the complete lifecycle of corporate and commercial customer records.
• ​Process Documentation: Identify and document processes for record creation and updates, including quality control measures. Map and describe data maintenance procedures for sources feeding into the system.
• ​Data Governance: Define requirements and guidelines for data fields, ensuring clarity and consistency across systems.
• ​Collaboration & Issue Resolution: Collaborate with cross-functional teams to resolve data integrity and compliance issues.
• ​Systems Integration: Work with system integration tools and understand API data structures.

​Required and Preferred Skills

​The role requires strong data system familiarity, advanced analytical tool usage, and adaptability.

• ​System Specifics:
  • ​Proficiency in navigating or willingness to quickly learn the Hogan system.
  • ​Experience with API payloads and system integration tools like Swagger.
• ​Analytical Tools: Advanced skills in Excel, including pivot tables and complex functions.
• ​Soft Skills (Preferred): Strong analytical and problem-solving abilities, excellent communication skills for effective collaboration, and the ability to adapt to changing priorities in a fast-paced environment.

​This is a full-time, remote Data Analyst role at LaunchDarkly, focusing initially on Product Growth initiatives. The analyst will join the Data Analytics team within the Technology organization, leveraging data warehouse, scripting, and analytics tools to deliver insights that directly influence product strategy and customer experiences.

• ​Location: Remote, US (Pay range determined by Geographic Zone).
• ​Target Pay Range (Zone 3 - Most locations): $116,000 - $159,500.
• ​Experience: 3+ years of professional experience as a Product Analyst, Data Analyst, Data Scientist, or similar.
• ​Education: Bachelor’s degree in a technical field (Computer Science, Math, Economics, etc.) or equivalent technical education.
• ​Focus: Delivering actionable insights to accelerate product growth, data modeling in dbt, building self-serve assets in Looker, and advancing analytics infrastructure best practices.

​Responsibilities: Insights, Infrastructure, and Cross-Functional Partnership

​The analyst drives data-informed decision-making across Product and Go-to-Market teams while strengthening the underlying data infrastructure.

• ​Product Growth Insights: Develop data-driven and actionable insights to accelerate product growth and engagement by leveraging the data warehouse, analytics tools, and scripting languages.
• ​Cross-Functional Partnership: Partner with Product, Engineering, and Go-to-Market teams to translate business challenges into data projects that influence strategy.
• ​Visualization and Communication: Translate quantitative analyses and findings into clear visuals, written documentation, and other data assets for product, engineering, and business end users.
• ​Data Modeling & Quality: Advance team best practices in data modeling, naming conventions, and data quality testing to ensure scalable, trustworthy analytics.
• ​Self-Service Enablement: Build, maintain, and promote reliable self-serve datasets and dashboards that enable stakeholders to make confident decisions quickly (e.g., in Looker).
• ​Infrastructure Improvement: Provide suggestions for improving the reliability, ease of use, and performance of the Data Team’s technical infrastructure.

​Required and Preferred Qualifications

​The role requires hands-on experience with modern data stacks (warehouse and transformation tools).

• ​Data Warehouse: Demonstrable experience working with data in Snowflake or similar SQL-based analytics warehouse.
• ​Data Modeling: Demonstrable experience with creating and maintaining data models in dbt.
• ​Visualization: Demonstrable experience with creating data visualizations and ready-made datasets in Looker, or other similar tools.
• ​Communication: Ability to define and iterate on analytics project requirements and communicate insights to both technical and business partners.
• ​Nice-to-Have: Curiosity around state-of-the-art technologies including experimentation, machine learning, and generative AI.

​This is an experienced, remote Senior Data Analyst role at Life360. The analyst will join the Finance Data Analytics team, supporting financial stakeholders by creating data and insights that drive internal/external financial reporting and SOX compliance. A major focus of this role is leveraging AI tools and capabilities to enhance development.

• ​Location: Remote (USA or Canada).
• ​Salary Range (US): $108,500 to $159,500 USD.
• ​Experience: 4+ years of experience in data analytics, with a focus on financial reporting and accounting support.
• ​Focus: Data pipeline creation, data visualization (Tableau/Plotly), dbt orchestration, monthly close support, and implementing AI-based solutions for finance.

​What You’ll Do: Data Modeling, BI, and AI Implementation

• ​Financial Reporting Support: Provide reporting/analysis tools for internal and external financial reporting.
• ​Month-End Close: Maintain and improve financial reporting capabilities to support the finance and accounting teams during the month-end close.
• ​Data Visualization & Analysis: Develop and optimize Tableau dashboards and support the utilization of Python-based Plotly. Use Databricks to query, review, and analyze data.
• ​Data Orchestration: Use DBT (Data Build Tool) to orchestrate, test, and deploy SQL data models.
• ​AI Implementation: Implement AI-based solutions to help expedite development and expand financial analytics capabilities. Experience with AI-enhanced IDEs (e.g., Claude Code, Cursor) is sought.
• ​Documentation: Maintain comprehensive documentation of data warehouse architecture and processes (SOX compliance focus).

​Required and Preferred Qualifications

• ​Experience: Bachelor’s degree and 4+ years of experience in financial reporting data analytics.
• ​Technical Proficiency:
  • ​Advanced SQL skills.
  • ​Proficiency with DBT and Airflow for orchestrating data models, testing, and deployments.
  • ​Experience managing a Databricks data warehouse or similar (Snowflake, BigQuery).
  • ​Experience working with Python or other programming languages.
• ​AI Exposure: Experience working with AI-enhanced IDEs like Claude Code and Cursor.
• ​Domain Focus: Extensive experience with financial reporting and accounting data analytics.

​This is a full-time, fully remote Operations Analyst role at Oddball, a company focused on bringing quality software to the federal space. The analyst will support the COO and Program Managers across day-to-day business operations, with a strong focus on federal compliance, internal process scaling, and project-level financial support.

• ​Location: Fully Remote (United States).
• ​Wage Range: $75,000 – $100,000 USD.
• ​Education: Bachelor’s Degree.
• ​Focus: Developing SOPs, ensuring compliance with ISO/CMMI standards, managing risk, supporting project financials (invoicing, budgeting, burn-rate), and assisting with operational audits.
• ​Clearance Requirement: Certain roles may require U.S. citizenship and the ability to obtain a federal background investigation/security clearance.

​What You'll Be Doing: Compliance, Process, and Financial Support

​The analyst is a critical contributor to maintaining operational excellence and ensuring the business functions smoothly as it grows.

• ​Operational Process & Scaling: Develop and maintain internal operational processes, documenting SOPs and templates, and helping scale internal processes.
• ​Compliance & Audits: Ensure compliance with ISO/CMMI standards (preferred), support QASP compliance, contract transitions, and operational audits.
• ​Risk Management: Manage risk tracking, including maintaining risk logs and tracking mitigations.
• ​Financial Support: Assist with project-level financial activities, including budgeting, invoicing, burn-rate reviews, and reporting.
• ​Documentation & Reporting: Maintain operational systems and documentation repositories, prepare deliverables and executive reports, and provide day-to-day support across business operations.
• ​Unanet (Preferred): Knowledge of or willingness to learn Unanet (timekeeping administration, reporting, and basic financial inputs).
• ​Leadership Potential: Potential to lead smaller task orders or project efforts as needed.

​Required and Preferred Skills

​The role demands a proactive approach, strong organization, and familiarity with federal contracting practices.

• ​Required Approach: A proactive, self-starting approach with the ability to manage tasks independently and operate with minimal supervision.
• ​Core Skills: Strong organizational skills, attention to detail, strong written/verbal communication.
• ​Process Experience: Experience developing, documenting, and improving operational processes and procedures.
• ​Preferred Experience:
  • ​Familiarity with ISO 9001, CMMI, or similar quality management frameworks.
  • ​Experience supporting project financials (invoicing, budgeting, forecasting).
  • ​Experience in or exposure to federal government contracting, including contract compliance requirements.
  • ​Knowledge of risk management (maintaining risk logs).

​This is a full-time, remote Senior Data Analyst role at Calendly, focused on the Reporting Analytics function within the centralized Analytics team. The core responsibility is to design and deliver the company's "source of truth" reporting, powering executive decision-making and performance management by developing high-quality, consistent, and accurate dashboards and metric definitions.

• ​Location: Remote (Salary Tier determined by remote work location).
• ​Salary Hiring Range (Tier 1): $173,026.68 - $203,560.80 USD
• ​Experience: 6+ years of hands-on analytics and reporting experience in SaaS, technology, or high-growth environments.
• ​Focus: Metric standardization, dashboard design and maintenance (using Hex), owning the semantic layer (dbt), and supporting executive-level business reviews (WBD, MBR, Board materials).

​Key Responsibilities: Source of Truth and Metric Governance

​The analyst serves as a critical contributor in scaling Calendly's reporting ecosystem and ensuring organizational alignment.

• ​Executive Reporting: Design, build, and maintain official reporting dashboards in Hex that serve as inputs to the Weekly Business Digest (WBD), Monthly Business Review (MBR), Board materials, and company-wide performance dashboards.
• ​Metric Governance: Define, document, and uphold the gold standard of metric definitions across Calendly, ensuring consistency and trust in all official reporting.
• ​Data Foundation: Own and evolve the semantic layer within the data warehouse, creating the foundation for reliable, scalable, and self-serve analytics.
• ​Accuracy & Reliability: Ensure reporting accuracy and reliability, validating metrics and collaborating with Data Engineering to resolve data quality issues.
• ​Automation: Automate manual workflows to increase reporting speed, efficiency, and scalability.
• ​Cross-Functional Partnership: Collaborate closely with Finance, Sales, CX, Product, and Operations to deliver consistent, actionable insights, and support occasional deep-dive analyses.

​Required and Preferred Qualifications

​The role requires high proficiency in modern data tools and a deep understanding of the SaaS business model.

• ​Required Technical Proficiency:
  • ​Highly proficient in SQL.
  • ​Experienced working with modern data warehouses (BigQuery preferred) and transformation tools (dbt).
  • ​Expertise using Hex for building dashboards, reporting packages, and manual analysis.
• ​Core Skills: Experience defining semantic layers or centralized metric frameworks.
• ​Communication: Strong communication and data storytelling skills—able to make complex metrics and trends easy to understand for executives.
• ​Preferred Qualifications:
  • ​Strong understanding of SaaS and recurring revenue metrics (ARR, retention, funnel conversion, ACV).
  • ​Experience with scripting languages (Python/R) for analysis or automation.
  • ​Familiarity with data governance, KPI frameworks, and metric standardization.

​This is a full-time, 100% remote Senior Data Analyst role at Misfits Market, an e-grocer focused on sustainability. This position serves as the company's go-to expert on experimental design and causal inference. The analyst will drive the experimentation culture by designing, evaluating, and interpreting A/B tests across Product and Marketing, while also managing stakeholder dashboards and mentoring junior analysts.

• ​Location: 100% Remote Work.
• ​Salary Range: $120,000 - $135,000 annually.
• ​Experience/Education: Master's degree (Data Science, Statistics, or related) with 3+ years of experience, OR Bachelor's degree with 5+ years of experience.
• ​Focus: A/B testing, causal inference, advanced SQL, statistical programming (Python/R), and building internal frameworks using dbt (data build tool).

​Key Responsibilities: Experimentation and Infrastructure

​The role balances advanced statistical work, technical data modeling, and team mentorship.

• ​Own Experimentation Analytics: Design, monitor, and interpret A/B and multivariate tests across Product and Marketing.
• ​Business Translation: Translate experimental results into clear, actionable business recommendations.
• ​Develop Frameworks: Build dbt models and dashboards that automate experiment tracking, power statistical analyses, and improve result interpretability.
• ​Mentorship: Mentor analysts on best practices for causal inference, power analysis, metric selection, and communicating uncertainty.
• ​Improve Data Infrastructure: Maintain and improve dbt models, metrics definitions, and self-serve data assets.
• ​Advanced Analytics: Identify opportunities to move from descriptive to predictive analytics and from ad-hoc to self-serve reporting.

​Required Skills and Expertise

​The position requires deep analytical and technical skills, coupled with strong communication ability.

• ​Statistical Expertise: Deep understanding of experiment design, causal inference, and statistical testing.
• ​Programming (Mandatory):
  • ​Expert-level SQL skills (comfortable writing complex queries and optimizing for performance).
  • ​Proficiency with Python or R for statistical analysis.
• ​Data Tools:
  • ​Experience with dbt and data modeling best practices.
  • ​Experience with visualization tools (Mode, Tableau, PowerBI, etc).
• ​Soft Skills: Strong communication skills for gathering user stories and translating data insights to stakeholders of varying technical knowledge.
• ​Industry Preference: Prior experience in e-commerce or lifecycle marketing is a plus.

​This is a remote Data Analyst role at EQT, a major natural gas producer. The position focuses heavily on business intelligence (BI) and data visualization, requiring strong technical skills in SQL, Power BI (including DAX and RLS), and programming languages like R or Python to create custom, data-rich dashboards and products.

• ​Location: Remote (Excluding CA, CT, DE, IL, IN, LA, MA, MI, NJ, NY, and TN).
• ​Experience (Minimum): 1+ years of experience in SQL & T-SQL Procedures, Power BI, and other BI tools (Spotfire, Tableau).
• ​Education: Bachelor's Degree in Computer Science, Data Science, Engineering, or a closely related field.
• ​Focus: Dashboard creation, data mining/cleaning, custom BI product development using scripting, and implementing robust data security measures (Row-Level Security).

​Key Responsibilities: BI Development and Data Management

​The analyst is responsible for the full lifecycle of data visualization, from cleaning and preparation to secure deployment.

• ​Dashboard Creation: Creating data-rich dashboards with the ability to drill down data and visualize it through charts, reports, or dashboards in the best possible way.
• ​Power BI Specialization: Writing Power BI DAX expressions and implementing Row-level Security (RLS).
• ​Custom BI Development: Developing custom BI products with scripting and programming languages such as R, Python, etc.
• ​Data Preparation: Performing data mining, cleaning, and munging (processing raw data).
• ​Architecture: Working with data warehousing and business intelligence platforms.

​Required and Preferred Skills

​The role mandates specific technical proficiency in data querying and visualization tools.

• ​Required Technical Skills:
  • ​Minimum 1+ years of experience in SQL & T-SQL Procedures.
  • ​Minimum 1+ years of experience with Power BI and other BI tools (e.g., Spotfire, Tableau).
• ​Preferred Skills:
  • ​Ability to communicate with business as well as technical teams.
  • ​Strong analytical and problem-solving mindset and approach.
  • ​Experience with documenting, designing, and modeling solutions.
  • ​Ability to learn oil & gas operations.
  • ​Commitment to continuous improvement regarding best practices in development and design.

​This is a full-time Information Security Engineer role focused on maintaining and enhancing the corporate Information Security program. The position is critical for integrating regulatory compliance (e.g., PCI, GLBA) into the security roadmap, performing risk assessments, conducting incident response, and ensuring both application and infrastructure security conform to industry best practices and external audit requirements.

• ​Location: Remote, but local to the Temecula, CA office.
• ​Compensation: $96,000 to $120,000 annually, plus a 10% AIP (Annual Incentive Plan) opportunity.
• ​Experience: 5+ years of related IT experience, with 2+ years in an Information Security engineering role.
• ​Education: Bachelor's degree in a related field is required.
• ​Focus: Application security tool implementation, regulatory compliance (PCI, GLBA), incident investigation, and security auditing of IT operational controls.

​Essential Functions: Program Development, Incident, and Audit

​The engineer is a security generalist with a strong emphasis on compliance and hands-on operational security.

• ​Security Program & Compliance: Assist with the development, implementation, and administration of security policies, standards, and procedures. Assist in integrating regulatory compliance requirements (PCI, GLBA) into the security roadmap and ensure compliance with all external audit requirements.
• ​Application Security: Assist in the identification, evaluation, and implementation of industry leading application security tools and techniques.
• ​Risk & Testing: Perform risk assessments and execute system tests to ensure proper functioning of data processing and security measures. Perform periodic internal IT security audit functions on IT operational controls (e.g., system access controls, firewall rule reviews).
• ​Incident Response: Perform security incident investigations, including chain of custody, containment, root cause analysis, and identification of preventive measures. Define and assist in the management of an Incident Response Team and its escalation procedures.
• ​Operational Security: Coordinate with IT Operations to ensure endpoints and network devices conform to security standards. Plan, coordinate, and implement security measures to regulate access to computer data files.
• ​e-Discovery: Perform information systems evidence gathering to support e-discovery requests.

​Required Knowledge and Preferred Experience

​The role requires foundational security knowledge and experience in regulated industries.

• ​Required Skills:
  • ​Significant knowledge of security-oriented regulatory requirements and compliance.
  • ​Excellent familiarity with IT security principles and practices including firewalling, hardening, data loss prevention, threat prevention, and identity management.
  • ​Ability to provide technical guidance to less experienced team members.
• ​Preferred Experience:
  • ​3+ years of experience in a regulated IT environment including some combination of SOX, HIPAA, GLBA, or PCI.
  • ​Knowledge of the mortgage industry is helpful.
• ​Preferred Certifications:
  • ​Security class certifications strongly preferred.
  • ​CISSP license preferred.
  • ​Azure certifications preferred.