Top Data & Analytics Jobs

Maintains accurate records across spreadsheets, databases, and internal systems. Reviews and verifies information, identifies discrepancies, organizes digital files, updates records, prepares simple reports, and supports basic research. The role requires strong attention to detail, confidentiality, reliable independent work, and proficiency with spreadsheet and document-management tools in a remote environment.

Reviews and analyzes large business datasets for accuracy, completeness, relevance, privacy, and quality. Conducts document reviews involving PII, identifies data issues and anomalies, provides feedback to support AI training, refines quality assurance standards, and communicates findings to project stakeholders while maintaining data privacy and security compliance.

Leads complex data analysis, business intelligence, reporting, visualization, data modeling, and research initiatives. Translates user needs into technical requirements, collaborates on ETL/ELT pipelines and data quality, develops actionable data stories, documents data assets, and advises senior stakeholders. The role also supports data governance, security, strategic planning, project execution, and team development across university departments.

The Data Analyst will lead end-to-end analytical projects, build scalable datasets and semantic layers, maintain trusted reporting, automate workflows, evaluate experiments, analyze customer economics, and deliver strategic recommendations. The role partners with engineers and business leaders, translates ambiguous problems into analytical roadmaps, uses SQL and modeling tools, and applies modern AI-assisted workflows with rigorous validation.

Performs data analysis for National Security clients by collecting, validating, cleaning, and interpreting large datasets. Develops dashboards and visualizations using Tableau or Power BI, identifies trends and performance metrics, and translates technical findings into clear recommendations for clients and stakeholders. Requires strong communication, data storytelling, and analytical problem-solving skills, along with a TS/SCI clearance with polygraph.

Build Confido’s analytics layer by creating dashboards, reports, metrics, and analytical tools for internal and customer users. Analyze large financial and operational datasets with advanced SQL, identify trends and inefficiencies, and translate findings into actionable recommendations. Partner with product, engineering, customers, and other stakeholders to improve data models, deliver analytical projects, and support decision-making across retail, finance, and operations.

Analyzes Recidiviz interventions using Python and SQL, builds statistical models, measures historical and projected impact, develops automated metrics workflows, and communicates findings to stakeholders. The role defines product usage and impact measures, supports experimental and quasi-experimental analyses, and informs product strategy and fundraising partnerships focused on criminal justice outcomes.

Build and maintain pipelines for cloud cost data, analyze and visualize spending, define business efficiency metrics, and create self-service data tools. The role partners with cross-functional stakeholders to optimize and forecast cloud spending, understand cost drivers, and support pricing and business decisions using SQL, Python, git, dbt, and modern data platforms.

Analyzes large and complex datasets to identify trends, risks, inefficiencies, and business opportunities. Develops reports, dashboards, and analytical models; quantifies business value; and supports AI, automation, and process improvement initiatives. Partners with stakeholders and IT to convert findings into actionable recommendations and decision-support solutions. The role also involves data mining, visualization, process documentation, and presenting complex insights to management.

Conduct quantitative and qualitative analyses of programs, grants, administrative operations, and financial data. Develop evaluation methods, reconcile and validate information, perform cost-benefit analyses, prepare reports, assess workflows and data systems, and recommend improvements to organizational processes and efficiency. Coordinate studies with stakeholders, communicate findings, and support management decision-making at the NIH.

Serve as a strategic analytics partner across Product, Growth, Engineering, Design, and Leadership. Define KPIs, measurement frameworks, experimentation strategies, and A/B tests; build executive dashboards and scalable dbt datasets; deliver product and marketplace insights; manage technology-category and vendor data; research cybersecurity and AI markets; and use LLMs to improve workflows and enrich the product database.

Performs advanced business and data analysis for Planning & Development, develops Power BI dashboards, validates data and system functionality, and builds Python, JavaScript, SQL, and API-based automation. The role supports Accela and related systems, conducts quality assurance, documents solutions, advises stakeholders on data quality and performance, and delivers training and demonstrations.

Analyzes operational and performance data to identify trends, root causes, risks, and improvement opportunities. Builds dashboards, reporting tools, forecasting models, and data-quality frameworks; translates findings into recommendations for operational and strategic decisions. Partners with cross-functional teams on process improvement, systems, compliance reporting, and workflow automation. Supports healthcare quality programs, including Star Ratings, HEDIS, CAHPS/HOS, and Part D.

Collects and compiles data from multiple systems, reviews reports, maintains accurate data sources, checks data quality, prepares information for analysis, and supports internal reporting and analytical projects. This is an unpaid, in-person internship intended for students who may receive academic credit.

Maintains and delivers pricing reports, databases, queries, and business intelligence tools. Develops ad hoc reports and alerts, identifies reporting improvements, maintains data standards, collaborates with pricing and other departments, and supports the creation and distribution of analytics resources. Requires database and report-writing experience, advanced Excel, Access, SQL, and VBA skills, strong accuracy, documentation, communication, organization, problem-solving, and deadline management.

Analyze customer lifecycle and Customer Success data to measure attribution, campaign performance, product adoption, retention, and revenue impact. Build multi-touch attribution models, integrate digital engagement data with Gainsight and CRM events, clean and unify datasets, segment audiences, identify journey bottlenecks, and create Tableau or Looker dashboards. Partner with Campaign Strategy, Product Insights, and CS Operations teams to deliver actionable recommendations and improve automated and human customer interventions.

Supports business analytics by analyzing product, engineering, operations, and portfolio data. Builds reports, dashboards, and visualizations using Databricks, Power BI, and Excel; performs data validation, cleansing, reconciliation, and quality checks; documents data definitions and processes; translates business needs into metrics and repeatable reporting solutions; and identifies opportunities for automation and improved data governance. Collaborates with technical and business stakeholders on cross-functional projects.

Analyzes unstructured customer feedback using text analytics, NLP, LLMs, SQL, Python/R, and BigQuery to identify sentiment, root causes, trends, and customer experience opportunities. Owns feedback taxonomies, models, workflows, and validation standards; connects feedback with behavioral and operational data; delivers business recommendations and executive storytelling; partners cross-functionally on measurement strategy and roadmaps; and mentors junior analysts.

Manages data analysts and oversees workflow, reporting, forecasting, benchmarking, and complex analysis for company and client needs. Provides technical guidance to analysts across field offices, communicates findings to senior management and clients, delivers training, and supervises hiring and performance development. Requires strong analytical, communication, organizational, and interpersonal skills, along with insurance and statistical analysis experience.

Develops automated reporting, forecasting tools, SQL queries, Power BI dashboards, and analytical solutions. Partners with managers and departments to identify data-driven opportunities, analyze large datasets, define performance metrics, and improve decision-making. Tests and refines reporting tools for accuracy, usability, reliability, and long-term business value.

Own client data onboarding by mapping source systems into a software platform, loading and validating messy files, troubleshooting live data issues, and documenting repeatable procedures. Explain technical findings to non-engineering teams, trace discrepancies to root causes, and collaborate with technical leaders on reusable checks, automation, and governance standards. Balance onboarding responsibilities with ongoing data troubleshooting.

Supports data teams by gathering and documenting business requirements, cleansing and standardizing datasets, validating data accuracy, and improving data processes. Serves as a liaison between business stakeholders and technical teams, maintains workflow documentation, and assists with simple reporting on data quality and project progress. The role requires Excel and SQL proficiency, with Python familiarity preferred.

Supports enterprise ESG data collection, validation, analysis, reporting, disclosures, assurance, and stakeholder requests. Develops dashboards and executive summaries, manages reporting systems and calendars, documents controls and methodologies, resolves data quality issues, coordinates internal and external assurance activities, researches sustainability standards, and contributes to materiality, scenario, and strategic ESG analyses.

Analyze sales, marketing, and revenue operations data to uncover insights and improve go-to-market strategies. Collaborate with Sales, Data Science, Marketing, and Finance teams; build scalable reporting tools; and present strategic recommendations to executive leadership. The role requires SQL-based analysis, strong data management, proactive ownership, and interest in ecommerce marketplaces. Successful interns may be considered for full-time employment.

The Data Analyst develops and maintains Power BI dashboards, datasets, data models, SQL and DAX solutions, and data pipelines. The role supports AWS cloud analytics integration, data quality, troubleshooting, governance, documentation, and workspace administration. It coordinates data engineers, translates business requirements into technical deliverables, collaborates with stakeholders, and communicates findings to nontechnical audiences while supporting agile delivery and data privacy compliance.