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• Plan and facilitate training sessions for applicants seeking approval from EPA for Class VI UIC permits • Develop and present scientific and technical materials for permit applicants • Serve as a technical liaison supporting agency communications, training, and outreach initiatives • Spot-check data for accuracy and completeness • Verify calculations and formulas • Document methods and assumptions for auditability and reproducibility • Prepare clear, concise, and technically accurate deliverables including reports, and data summaries in compliance with contract and client requirements • Track project milestones, deliverables, and schedules to ensure timely and compliant submission of work products
Clover is a healthcare technology company helping members live their healthiest lives with our Medicare Advantage plans.
• Proactively identify and monitor which healthcare facilities consistently generate high-quality, usable clinical documents (e.g., EHRs, discharge summaries, procedure notes) to precisely locate and quantify data gaps. • Conduct deep-dive analyses by mapping and correlating facility-specific data across disparate sources like structured claims, clinical care summaries (CCDAs), and ADT messages to uncover systematic patterns of missingness, latency, or incongruence in clinical records. • Establish and maintain clear, transparent reporting on ADT coverage across key geographic, organizational, and technological dimensions (e.g., by county, facility, and underlying EMR system). • Based on rigorous analysis of data flow and quality, recommend and guide the implementation of optimal technical configurations for existing data vendors (e.g., Bamboo Health, PCC, Experian, HSX). • Conduct comprehensive evaluations and proof-of-concepts for potential new data integration technologies (e.g., Kno2 vs. Particle Health) to assess viability, quality improvements, and strategic fit. • Systematically determine the existence and completeness of documentation associated with specific patient visits or encounters. • Develop a data-driven framework for prioritizing facility targets for direct data acquisition, assessing impact, cost-effectiveness, and technical feasibility. • Inform and guide vendor strategy around national initiatives such as TEFCA and QHIN adoption, ensuring Counterpart Health is positioned for compliant, high-quality data exchange. • Partner cross-functionally with Product Managers to define data requirements, Engineers to implement reliable pipelines, and Clinical teams to validate data quality and clinical utility. • Act as a critical liaison to identify and remove operational and technical bottlenecks, ensuring a predictable, scalable, and reliable clinical data flow across all customer markets.
Clover is a healthcare technology company helping members live their healthiest lives with our Medicare Advantage plans.
• Build and maintain core Value-Based Care (VBC) performance metrics across risk, quality, utilization, and cost domains, including HCC capture rates, RAF scores, PMPM trends, and inpatient/ED utilization rates. • Develop customer-facing analytics, reports, and dashboards that surface actionable performance insights for payer and provider partners in a clear, narrative-driven format. • Analyze Medicare Advantage performance data, including risk adjustment, quality bonus payments, and benchmark performance, to identify gaps, trends, and opportunities at the patient, provider, and market level. • Translate complex data findings into executive-ready narratives: written summaries, slide-ready visuals, and structured QBR materials that tell a coherent story about performance and next steps. • Conduct deep-dive utilization and cost analyses, including high-cost claimant reviews, avoidable utilization patterns, and specialty/pharmacy spend trends, to identify levers for improvement. • Partner with Customer Success and Provider Operations teams to prepare and deliver performance reviews (QBRs, monthly reporting packages) that communicate value and surface priority action areas for each customer. • Collaborate with Data Engineering to validate claims and clinical data pipelines, flag anomalies, and ensure metric consistency across customer populations. • Contribute to the development of scalable analytics infrastructure: reusable SQL libraries, metric definitions, and documentation that enable the team to move faster.
In 2018, Clover Health set out to build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions. Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits. Counterpart Health is a subsidiary of Clover Health, committed to Diversity & Inclusion as key to our success. We are an Equal Opportunity Employer, valuing diverse strengths, experiences, perspectives, and backgrounds.
Role Description You will be part of the analytical engine behind Counterpart Health’s value-based care performance insights. This role sits at the intersection of risk adjustment, quality measurement, utilization management, and cost analytics, and you will be expected to own the metrics that matter most to our payer and provider partners. Beyond the numbers, you are a storyteller: you turn dense claims and clinical data into clear, compelling narratives that help customers understand performance, identify opportunities, and take action. You will work closely with Customer Success, Clinical, and Product teams to ensure our analytics are accurate, trusted, and decision-ready. - Build and maintain core Value-Based Care (VBC) performance metrics across risk, quality, utilization, and cost domains, including HCC capture rates, RAF scores, PMPM trends, and inpatient/ED utilization rates. - Develop customer-facing analytics, reports, and dashboards that surface actionable performance insights for payer and provider partners in a clear, narrative-driven format. - Analyze Medicare Advantage performance data, including risk adjustment, quality bonus payments, and benchmark performance, to identify gaps, trends, and opportunities at the patient, provider, and market level. - Translate complex data findings into executive-ready narratives: written summaries, slide-ready visuals, and structured QBR materials that tell a coherent story about performance and next steps. - Conduct deep-dive utilization and cost analyses, including high-cost claimant reviews, avoidable utilization patterns, and specialty/pharmacy spend trends, to identify levers for improvement. - Partner with Customer Success and Provider Operations teams to prepare and deliver performance reviews (QBRs, monthly reporting packages) that communicate value and surface priority action areas for each customer. - Collaborate with Data Engineering to validate claims and clinical data pipelines, flag anomalies, and ensure metric consistency across customer populations. - Contribute to the development of scalable analytics infrastructure: reusable SQL libraries, metric definitions, and documentation that enable the team to move faster. Qualifications - 4+ years of hands-on healthcare data analytics experience, with direct exposure to payer or provider customers in a value-based care context. - Deep familiarity with VBC metrics: risk adjustment (HCC coding, RAF scores), utilization (IP admissions, ED visits, readmissions), and cost (PMPM, total cost of care, benchmark vs. actual). - Strong SQL skills, able to write complex queries across claims, eligibility, and clinical datasets in cloud-based warehouses (BigQuery, Snowflake, or similar). - Exceptional data storytelling ability: you can translate analytical findings into clear narratives and visuals that resonate with both clinical and non-technical audiences. - Experience building customer-facing reports and dashboards; comfortable presenting findings to external stakeholders (health plans, provider groups, ACOs). Requirements - Medicare Advantage experience, including familiarity with CMS risk adjustment models (CMS-HCC v24/v28), Star Ratings methodology, and MA quality bonus payment structures. - Familiarity with clinical terminologies: ICD-10, CPT/HCPCS, NDC, SNOMED, LOINC. - Experience using Python or R for data manipulation, cohort analysis, or statistical modeling. - Background working with EHR or clinical data alongside claims (e.g., for care gap closure, chronic condition identification, or attribution logic). - Prior experience in a health plan, risk-bearing provider group, ACO, or health tech company supporting VBC programs. Benefits - Financial Well-Being: Competitive base salary and equity opportunities, performance-based bonus program, 401k matching, and regular compensation reviews. - Physical Well-Being: Comprehensive medical, dental, and vision coverage. - Mental Well-Being: Initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. - Professional Development: Learning programs, mentorship, professional development funding, and regular performance feedback and reviews. - Additional Perks: Employee Stock Purchase Plan (ESPP), reimbursement for office setup expenses, monthly cell phone & internet stipend, remote-first culture, paid parental leave for all new parents, and much more!
In 2018, Clover Health set out to build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions. Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits. Counterpart Health is a subsidiary of Clover Health, committed to Diversity & Inclusion as key to our success. We are an Equal Opportunity Employer, valuing diverse strengths, experiences, perspectives, and backgrounds.
Role Description You will serve as the Subject Matter Expert (SME) for clinical data completeness and effectiveness at Counterpart Health. Sitting within the Data Products pillar, this role owns the end-to-end understanding of our clinical data lifecycle: - Where data comes from - Where it breaks down - How each vendor or integration pathway performs across our customer markets Your analysis will directly shape vendor strategy, facility targeting, and data pipeline investments, ensuring that the clinical evidence our care teams depend on is consistently available and trustworthy. As a Data Analyst, you will: - Proactively identify and monitor which healthcare facilities consistently generate high-quality, usable clinical documents (e.g., EHRs, discharge summaries, procedure notes) to precisely locate and quantify data gaps. - Conduct deep-dive analyses by mapping and correlating facility-specific data across disparate sources like structured claims, clinical care summaries (CCDAs), and ADT messages to uncover systematic patterns of missingness, latency, or incongruence in clinical records. - Establish and maintain clear, transparent reporting on ADT coverage across key geographic, organizational, and technological dimensions (e.g., by county, facility, and underlying EMR system). - Recommend and guide the implementation of optimal technical configurations for existing data vendors (e.g., Bamboo Health, PCC, Experian, HSX) based on rigorous analysis of data flow and quality. - Conduct comprehensive evaluations and proof-of-concepts for potential new data integration technologies (e.g., Kno2 vs. Particle Health) to assess viability, quality improvements, and strategic fit. - Systematically determine the existence and completeness of documentation associated with specific patient visits or encounters. - Develop a data-driven framework for prioritizing facility targets for direct data acquisition, assessing impact, cost-effectiveness, and technical feasibility. - Inform and guide vendor strategy around national initiatives such as TEFCA and QHIN adoption, ensuring Counterpart Health is positioned for compliant, high-quality data exchange. - Partner cross-functionally with Product Managers to define data requirements, Engineers to implement reliable pipelines, and Clinical teams to validate data quality and clinical utility. - Act as a critical liaison to identify and remove operational and technical bottlenecks, ensuring a predictable, scalable, and reliable clinical data flow across all customer markets. Qualifications - 2+ years of hands-on data analytics experience, with direct exposure to healthcare data interoperability. - Strong hands-on experience with healthcare data standards: HL7, CCDA, and ADT messages. - Proficiency in SQL and comfort working with large, complex datasets (claims, clinical logs, interoperability data). - Background in analyzing interoperability networks (e.g., Carequality, CommonWell, eHealthExchange) or HIE integrations. - Skilled at data visualization and able to present complex findings to both technical and non-technical stakeholders. - Strong investigative mindset, i.e., you enjoy digging into the “why” behind missing data and diverging metrics. - Self-directed and able to manage multiple analytical projects (vendor comparisons, visit-level reconciliation) without constant supervision. Requirements - Experience with TEFCA/QHIN frameworks and evolving national interoperability standards. - Familiarity with vendor-specific data exchange platforms (e.g., Bamboo Health, HSX, Particle Health, Kno2). - Background in value-based care, population health, or clinical data operations. - Experience with claims-clinical data reconciliation (e.g., matching EOBs to clinical encounter records). - Comfort working with Python or similar tools for data manipulation and automation. Benefits - Financial Well-Being: Competitive base salary and equity opportunities, performance-based bonus program, 401k matching, and regular compensation reviews. - Physical Well-Being: Comprehensive medical, dental, and vision coverage. - Mental Well-Being: Initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. - Professional Development: Learning programs, mentorship, professional development funding, and regular performance feedback and reviews. - Additional Perks: Employee Stock Purchase Plan (ESPP), reimbursement for office setup expenses, monthly cell phone & internet stipend, remote-first culture, paid parental leave for all new parents.
Role Description Milliman’s Health Research Team (HRT) is seeking an experienced and driven Data Analytics Manager. In this role, you will lead a high-performing team of 2–4 data analysts, overseeing all phases of data production with a strong emphasis on data quality, accuracy, and timeliness. The Manager will play a critical role in driving product development deliverables and supporting internal deliverables for client and research projects. This position reports to the Senior Manager, Data Engineering and Analytics. This role is based out of the Milliman office in Chicago, IL, but candidates hired into this role may work remotely anywhere in the US or in the office on a weekly basis with flexible work arrangements. Travel to Milliman’s Chicago office for three consecutive days each quarter is required. Job Responsibilities - Team Leadership & Management - Lead, mentor, and develop a team of 2–4 data analysts, fostering a collaborative and high-performance work environment. - Set clear goals and priorities for the team, ensuring timely and accurate delivery of all assigned work. - Conduct regular one-on-ones, performance reviews, and professional development planning for direct reports. - Manage workload distribution across the team to balance competing priorities and deadlines. - Partner with the PMO team to develop comprehensive project plans, define and document key deliverables, and provide clear, timely project status updates to senior leadership. - Data Quality Analysis - Own and oversee the data quality analysis phase across all data production workflows, ensuring data meets established standards before downstream use. - Develop, document, and continuously improve data quality frameworks, checklists, and standard operating procedures. - Identify, investigate, and resolve data anomalies, discrepancies, and quality issues in health claims and enrollment data. - Partner with project managers, ETL developers and data engineers to communicate data quality findings and support remediation efforts. - Establish and maintain data quality metrics, scorecards, and dashboards to monitor ongoing pipeline performance and communicate findings to stakeholders at all levels. - Product Development Deliverables - Lead the team in producing product development deliverables on schedule and to specification. - Collaborate with senior analysts, actuaries, and health consultants to ensure deliverables align with methodological and business requirements. - Review and validate team output prior to submission, ensuring accuracy, completeness, and consistency. - Client & Research Project Support - Support internal deliverables for client-facing and research projects, coordinating with project leads to understand requirements and timelines. - Assist in the preparation of data summaries, analytical outputs, and supporting documentation for internal and external stakeholders. - Ensure all project deliverables meet data governance, compliance, and contractual requirements. - Process Improvement & Innovation - Proactively identify opportunities to streamline and automate data quality and production workflows, reducing manual effort and improving efficiency. - Implement best practices for quality assurance and testing, including QAT and UAT support. - Stay current with emerging tools, technologies, and methodologies relevant to health data analytics, recommending and championing improvements where appropriate. - Collaborate with HRT finance, operations, and project management teammates through providing technical and healthcare data expertise to support cross-functional initiatives. Qualifications - Bachelor's or Master's degree in Mathematics, Statistics, Actuarial Science, Public Health, Computer Science, or a related quantitative field. - 4+ years of experience analyzing large databases of health claims and enrollment data (e.g., administrative/closed claims data). - 2+ years of experience in a lead or supervisory role, with demonstrated ability to manage and develop analytical talent. - 2+ years of experience performing or overseeing data quality analysis in a production data environment. - Demonstrated proficiency in multiple health care data analytics topics, including but not limited to pricing, provider contracting, Medicare Advantage bids, risk scores, clinical quality, health care economics, reserving, or financial reporting. - Robust business acumen across at least two healthcare lines of business, such as Individual, Employer Group, Medicare, Part D, Medicaid, or Dental. - Advanced proficiency in SQL for data querying, validation, and analysis. - Hands-on experience with Python, SAS, or R for data analysis and workflow automation. - Proficiency in Excel, including advanced formulas, pivot tables, and data validation techniques. - Solid understanding of ETL pipelines, data warehousing concepts, and data governance best practices. - Exceptional attention to detail with an unwavering commitment to data accuracy and integrity. - Excellent organizational and project management skills, with the ability to manage competing priorities in a fast-paced environment. - Travel to Milliman’s Chicago office for three consecutive days each quarter is required. Benefits - Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners. - Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges. - 401(k) Plan – Includes a company matching program and profit-sharing contributions. - Discretionary Bonus Program – Recognizing employee contributions. - Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses. - Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis. - Holidays – A minimum of 10 observed holidays per year. - Family Building Benefits – Includes adoption and fertility assistance. - Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria. - Life Insurance & AD&D – 100% of premiums covered by Milliman. - Short-Term and Long-Term Disability – Fully paid by Milliman.
Protera Health is a health-tech startup transforming musculoskeletal (MSK) care through a multidisciplinary, technology-enabled approach. Founded by orthopedic surgeons and value-based care experts, our mission is simple: treat patients as we would our own loved ones. We help patients with back, neck, and joint pain regain function, reduce pain, and improve quality of life through personalized virtual care pathways and ongoing support.
Role Description Protera Health is seeking an experienced Data Analyst to lead and support data operations, reporting, analytics, and customer data management across the organization. This highly visible, cross-functional role will closely collaborate with leadership, operations, product, engineering, and customers. The ideal candidate is passionate about solving complex problems, working with healthcare data, developing reporting infrastructure, and empowering organizations to make better decisions through data. This is a unique opportunity for someone who wants broad ownership in building the data foundation of a rapidly growing healthcare company. Key Responsibilities - Manage customer data implementations and ongoing data operations - Process, validate, and reconcile eligibility, claims, enrollment, and member roster files - Develop and maintain dashboards, reports, and operational metrics - Create engaging, customer-facing reporting and analytics - Analyze healthcare claims, utilization, engagement, and outcomes data - Support data movement across Salesforce, Healthie, reporting systems, and customer platforms - Identify opportunities for automation and process improvement - Participate in customer meetings related to data, reporting, and implementations - Partner with operations, product, and engineering teams to solve business problems using data - Document workflows, reporting logic, and data processes Qualifications - 3+ years of experience in data analytics, healthcare analytics, business intelligence, or related fields - Experience with healthcare claims data - Strong SQL skills - Proficiency with dashboarding and reporting tools - Analytical problem-solving abilities and keen attention to detail - Excellent communication and organizational skills - Ability to work independently in a fast-paced environment - Skill in explaining technical concepts to non-technical audiences Preferred Qualifications - Experience with Salesforce data and reporting - Experience with healthcare eligibility and enrollment data - Background in healthcare, digital health, health plans, or value-based care - Experience with data warehousing and ETL processes - Startup experience - Familiarity with predictive analytics or statistical modeling Benefits - Fully remote (United States) - Competitive compensation based on experience - Bonus opportunity - Equity opportunity - Healthcare benefits - PTO - 401(k)
Revenue Cycle Management Services | Advanced Technology, Top Talent, Optimal Revenue Results
Role Description The Payer Intelligence Data Analyst manages payer, plan, and claim-routing data that supports operational workflows, appeals, and automation across the organization. This role is responsible for payer master data integrity, plan standardization, routing logic, and submission rules to ensure accurate, scalable, and automation-ready operations. The analyst partners with Business Transformation, Denials Operations, Product, AI, Engineering, Data, and Client Implementation teams to maintain reliable payer infrastructure and improve workflow performance as systems evolve. Key Responsibilities - Payer & Plan Configuration - Build, maintain, and govern payer and plan data across workflow and pricing systems. - Configure and manage: - Submission addresses and methods (portal, fax, mail) - Contact information and escalation paths - Timely filing and payer-level attributes - Standardize payer and plan names, aliases, and identifiers. - Automation & Platform Enablement - Maintain configuration logic that drives: - Workflow rules - Automation triggers - Follow-up timelines - Claim and appeal routing - Partner with Product, AI, and Engineering to enhance payer data and routing logic. - Maintain accurate routing across pricing, appeals, and automation workflows. - Analyze and resolve routing exceptions and data discrepancies. - Data Quality & Auditing - Audit payer master data to ensure accuracy, completeness, and integrity. - Identify and resolve duplicates, mismatches, and client-specific data issues. - Support exception handling and review workflows for data and routing issues. - Apply data governance standards and naming conventions consistently. - Support initiatives to reduce duplicate, inactive, and inconsistent records. - Cross-Functional & Operational Support - Support client onboarding, releases, and post-production issue resolution. - Manage a prioritized queue of configuration updates, fixes, and investigations. - Recommend process improvements that increase accuracy, scalability, and turnaround time. Qualifications - Bachelor’s degree in business, Health Information Management, or related field (or equivalent experience). - 3+ years of experience in payer operations, data analysis, system configuration, or revenue cycle workflows. - Strong analytical, problem-solving, and detail-oriented skills. - Advanced Excel skills; experience with workflow, case management, or data systems preferred. Requirements - Experience with payer master data, plan standardization, or routing logic. - Understanding of claim, appeal, and denial workflows. - Experience supporting automation-enabled workflows and data-driven process improvements. - Client onboarding or production support experience.
Stio is a mountain apparel brand that designs functional and innovative products with inspiration from the surrounding area of the Teton Range. Embracing the mo
Role Description The Data Analyst is a key early member of Stio’s Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You’ll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. The expectation is not that you arrive an expert in AI tooling, but that you bring strong fundamentals and a genuine curiosity about how this part of the craft is evolving. We’re looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn’t hesitate to sweep the floor (fix a broken Excel link) and isn’t afraid to question the status quo. This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. Responsibilities - Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. - Own end-to-end processes: scoping, building, validating, and communicating findings. - Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. - Develop and maintain the semantic context, dashboards, and reports used by the business. - Own metric definitions and business semantics; drive alignment when stakeholders disagree. - Review and harden AI-generated SQL, dbt models, and Python code. - Investigate ambiguous data questions by talking to source-system owners and reconciling conflicting definitions. - Help build and maintain Stio’s data infrastructure and contribute to decisions about stack evolution. - Improve data governance by creating useful documentation for AI agents. - Continuously develop your skills as the practice of data analytics evolves. Qualifications - 3+ years of professional experience as a data analyst, analytics engineer, or similar role. - Advanced SQL: CTEs, window functions, and comfortable wrangling messy real-world data. - Hands-on experience with dbt, including writing models, tests, and documentation. - Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar). - Version control with Git/GitHub as part of your normal workflow. - Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar). - A real point of view on AI-assisted development for analytics work. - History of building collaborative, trusting relationships with non-technical stakeholders. - Comfort presenting findings to leadership verbally, in writing, and visually. Preferred Additional Skills and Experience - Working knowledge of Python and/or R for analysis. - Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex). - Experience with systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo. - Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company. - Experience working in a small or solo data team where you owned the work end-to-end. Requirements - Must be able to work in a stationary position 50% - 75% of the work day. Benefits - Medical, Dental Vision plans. - Company Paid Long Term Disability. - Employee Assistance Programs. - 401k with Match. - Generous paid time off policies. - Gear test, perks and more. Compensation We provide competitive compensation packages, inclusive of base pay, incentives, and benefits. The base salary range for this role is $85,000-$100,000. Actual pay will be determined based on several factors including experience, skills, and qualifications.
• Extract data from SQL and NoSQL systems (Snowflake, MongoDB, and other databases) to support psychometric analyses and operational reporting. • Ensure data integrity through rigorous validation, transformation, and documentation practices. • Analyze data related to item and test content, quality, and performance using statistical and psychometric methods. • Support psychometricians with advanced analyses, including IRT modeling, reliability studies, norming, and other specialized methodologies. • Validate assessment logic to confirm that scoring rules, branching, and performance assumptions operate as intended. • Define, calculate, and track assessment quality and performance metrics to ensure consistency and accuracy across programs. • Design and implement research studies, simulations, and data mining projects to investigate assessment behavior and support continuous improvement. • Communicate analytical findings through clear written reports, data visualizations, dashboards, and presentations tailored to both technical and non‑technical audiences. • Maintain up‑to‑date knowledge of statistical analysis techniques, psychometric best practices, and modern data engineering workflows.
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SQL, Python, Data Analytics, BigQuery, R, Excel
