Top Data Analyst Jobs

Entry-level Associate Data Analyst supporting analytics, data science, data engineering, and project management rotations. Deliver insights, build dashboards, automate reporting, partner with stakeholders, and apply ML/LLM tools to drive product and client analytics.

Supports complex longitudinal, multi-site clinical and epidemiologic research studies as a REDCap subject matter expert. Designs and maintains REDCap, MyCap, and mobile data-collection systems; develops API integrations, automated data pipelines, quality-control workflows, analysis-ready datasets, dashboards, and reports using R and/or Python. Advises investigators and research teams on data architecture, security, documentation, reproducibility, and study workflows while training and mentoring analysts and research staff.

The Data Analyst manages reporting data, business intelligence, and reporting process improvements. Responsibilities include generating reports, developing data warehouse and data mart solutions, refining reporting software, creating data imports and exports, supporting vendors and clients, and translating business needs into data-driven solutions. The role requires strong SQL, Excel, analytical, communication, and project management skills, with healthcare claims experience and Microsoft reporting tools preferred.

Leads enterprise reporting, data modeling, governance, reconciliation, and dashboard development across wealth management systems. Ensures data integrity and standardized KPI reporting while analyzing financial and operational trends. Partners with business, technology, operations, finance, and senior leadership to deliver actionable insights, improve reporting processes, support system transformations, and drive adoption of consistent reporting practices.

Leads enterprise data modeling, governance, reconciliation, and reporting across wealth management systems. Develops dashboards and KPI frameworks, ensures data integrity, analyzes financial and operational trends, and delivers executive insights. Partners with business, technology, operations, and finance teams to standardize reporting, support system transformations, improve automation, and drive data-informed decisions.

Collects, analyzes, and interprets Environmental Health and Safety data to identify trends and support compliance and risk management. Develops dashboards and reports, ensures data accuracy and integrity, provides process improvement recommendations, supports EHS initiatives, and collaborates with IT and engineering teams on data ecosystems.

Analyzes complex data from diverse sources to evaluate programs, develop metrics, create datasets and dashboards, conduct statistical and qualitative research, and deliver recurring reports. Presents findings to stakeholders, supports operational decision-making, audits data quality, and collaborates across teams. The role also mentors junior analysts and manages reporting deliverables. Advanced experience with statistical analysis and visualization tools is required, with bioinformatics and multiomics experience preferred.

Performs complex data analysis for field operations and call centers to improve targeting, resource allocation, and ROI. Develops and validates reports, dashboards, and data models using Excel, SQL, and Power Query. Identifies trends and issues, evaluates analytical methods, and recommends practical business solutions. Supports performance measurement across operations, training, product launches, and related business functions.

Lead analytical projects and experiments focused on customer and product behavior, lifecycle growth, segmentation, and engagement. Build data models, semantic layers, AI agents, dashboards, and reporting systems. Partner with Product, Marketing, Engineering, and Data teams to define metrics, evaluate initiatives, and influence strategy. Apply statistical modeling, predictive analytics, causal inference, and experimentation techniques, while communicating actionable insights to technical teams and senior leadership.

Leads performance management and data analytics for Salt Lake County’s Opioid Settlement Fund. Develops dashboards, reports, visualizations, metrics, and data narratives; collaborates with IT on data systems and governance; conducts quantitative and qualitative research; supports data quality, privacy, compliance, and policy decision-making; trains staff and coordinates stakeholders, contracts, and performance-based budgeting initiatives.

Analyze complex datasets, build Power BI dashboards and reports, write SQL, and use Python with Pandas and NumPy for data manipulation and automation. Work extensively with Snowflake, validate and reconcile data, define KPIs, support forecasting and AI-driven analytics, and translate stakeholder requirements into analytical solutions. Present insights and recommendations while collaborating with business, data engineering, and data science teams to improve reporting, data quality, governance, and self-service BI.

Retrieve, clean, integrate and analyze business, medical, operational, financial and customer data to produce reports, visualizations and insights. Identify trends, perform root cause analysis, support ad-hoc reporting and reporting process development, and consult with stakeholders to support decision making and process improvement.

Analyzes data from multiple sources, manages master data, validates data quality, develops statistical models, and creates reports and dashboards. Troubleshoots reporting databases, supports data integrity and normalization, translates reporting requirements, assists with software implementations, and trains users. The role requires strong analytical, communication, database, reporting, and stakeholder-support skills, along with a bachelor's degree in computer science and 1–3 years of related experience.

Own product analytics for CookUnity’s marketplace, analyzing discovery, conversion, ordering, retention, customer behavior, and marketplace economics. Design and interpret experiments, define metrics and guardrails, build dashboards, validate instrumentation, and translate ambiguous product questions into actionable recommendations. Partner closely with Product, Design, Engineering, User Research, and business teams to guide decisions and improve customer experience, repeat ordering, and sustainable marketplace performance.

Analyze large structured and unstructured datasets supporting USCENTCOM’s data lake, machine learning, artificial intelligence, and intelligence initiatives. Develop data methodologies, pipelines, metrics, visualizations, and self-service reporting solutions. Translate technical findings into actionable recommendations for clients, stakeholders, and Joint Combatant Command organizations. Collaborate with intelligence and data teams while advising on data-driven decisions that improve military mission outcomes.

Maintains Salesforce data integrity, manages support requests and data loads, builds Salesforce, Tableau, and Power BI reports, analyzes revenue and sales trends, supports migrations and integrations, documents data standards, and provides actionable insights and dashboard training to revenue, executive, sales, marketing, and customer support teams.

Analyzes federal program data, develops leadership dashboards, performs data quality checks, streamlines data preparation using R scripts and macros, and communicates findings. The role also documents survey procedures, implements technology best practices, supports stakeholders, and performs business, systems, and data analysis with limited supervision in a hybrid Arlington, Virginia environment.

Supports management and optimization of insurance agency management systems, including AMS360 and ImageRight. Responsibilities include system design, workflow implementation, acquisition data migration, data governance, quality improvement, automation partnerships, and collaboration with IT, service, broking, operations, and newly acquired businesses.

Analyze business and operational data to identify trends, explain performance, and provide actionable insights. Build and maintain SQL and Python workflows, datasets, pipelines, and reports; validate data quality; apply statistical methods; translate stakeholder questions into analytical requirements; and automate manual processes to improve reporting efficiency and scalability.

Analyze complex datasets across business domains, source and validate data, develop analytical models and visualizations, and communicate actionable insights. The role supports data quality, governance, reporting, process improvement, and stakeholder decision-making using SQL, Python, Power BI, and Tableau. Responsibilities also include profiling, cleansing, validation, collaboration with cross-functional teams, and mentoring junior analysts.

Collects, analyzes, validates, and reports data while maintaining data integrity and accuracy. Prepares standard, exception, custom, and client reports; supports internal and external users; assists with client setup and maintenance; and contributes to quality programs. Requires strong query and report writing, analytical, communication, organizational, troubleshooting, and problem-solving skills.

Collects, analyzes, reconciles, and organizes information supporting DEA asset forfeiture casework. Enters data into databases and spreadsheets, maintains physical files, tracks case deadlines, coordinates information requests, prepares reports and correspondence, performs case-related word processing, and provides accurate status updates.

Analyze, clean, validate, and visualize structured and unstructured data supporting military capability modernization. Develop data methodologies and pipelines, assess data quality, identify trends, establish metrics and KPIs, and present findings to clients and senior Joint Force stakeholders. Use Python, R, SQL, Palantir Foundry or Maven Smart Systems, Microsoft tools, Tableau, Qlik, and Power BI to produce insights, recommendations, documentation, and cross-functional solutions.

Develops Power BI dashboards, SSRS reports, data models, KPIs, and healthcare analytics solutions. Uses advanced SQL and Python to transform, analyze, and optimize large healthcare datasets. Performs exploratory analysis, ensures data quality and governance, supports reporting and production issues, and communicates insights to technical, business, client, and executive stakeholders. Collaborates across Product, Engineering, Client Services, and Operations teams in Agile delivery environments.

Analyzes website and digital marketing performance data, builds dashboards and reports, supports tracking implementation, and evaluates A/B and multivariate tests. The role identifies customer behavior trends, conversion opportunities, and digital performance insights, translating complex analyses into actionable recommendations for Marketing, Product, Engineering, agencies, and leadership.