Top Data & Analytics Jobs

Monitor and analyze growth metrics across acquisition, activation, engagement, and retention. Build and maintain dashboards and reports, support design and validation of growth experiments, identify drivers of metric changes and anomalies, and collaborate with cross-regional analytics stakeholders to ensure analytical consistency.

Support Feed and Logistics by creating data analysis tools, extracting KPIs from major systems, building QlikView dashboards and reports, performing statistical analysis, and liaising with business stakeholders to meet reporting needs.

Manage measurement programs across multiple clients to evaluate earned media, social, influencer, and integrated marketing performance. Build dashboards, run social listening and competitive analyses, define KPIs, deliver actionable insights and presentations, automate reporting and Slack monitoring, train teams, and support new business with research and measurement recommendations.

Analyze and validate production data from multiple systems (DNA, Salesforce, Encompass), build and maintain dashboards and reports, support users, manage Salesforce/Encompass profiles and permissions, perform QA/testing, collaborate with stakeholders to improve processes, and oversee secure data transmissions to external parties.

Drive end-to-end product analytics for user growth and product strategy: define metrics, design and analyze A/B tests, handle PB-scale behavioral and transactional data, build dashboards, predictive models, and deliver actionable insights to product and business stakeholders.

Lead Avail analytics by building KPI frameworks, automated dashboards, and end-to-end analyses. Partner with stakeholders to define needs, source data, perform ETL/EDA, generate insights, and inform strategy across product, marketing, operations, and finance.

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.

The Web Data Analyst will analyze web performance, optimize marketing strategies, manage tagging, and provide insights to improve user engagement and revenue generation.

Annotate and label images and video from humanoid robots using proprietary tools, collaborate with ML engineers on guidelines, flag edge cases, maintain quality and throughput, and provide feedback to improve workflows.

Analyzes transaction and business data using SQL, builds and maintains BI dashboards, handles ad hoc requests, and translates stakeholder needs into actionable insights. Partners with Finance and Operations, documents analytical best practices, mentors junior team members, promotes data literacy, and designs A/B tests to guide feature prioritization.

Perform data preparation, exploration, and analysis to support supply chain decision-making. Build and maintain reports and dashboards, validate data accuracy, document methods, and collaborate with engineering and stakeholders on ad hoc and recurring analyses.

Develop and support report automation, data integration, transformation workflows, Tableau dashboards, PostgreSQL databases, user-facing applications, and data-quality controls. Analyze requirements, document technical solutions, conduct testing, troubleshoot issues, and coordinate with users and technical teams on a federal data modernization program. The role requires Python, Java, SQL, Tableau, modern web-interface technology, and PostgreSQL expertise.

Drives data collection, analysis, KPI reporting, dashboard development, forecasting, and executive presentations. Builds standardized reporting processes, improves data quality, investigates metric fluctuations, and translates business requirements into actionable insights. Collaborates with cross-functional teams, leadership, vendors, and partners to prioritize information needs, maintain data integrity, automate reporting, and communicate findings effectively.

Analyze reverse logistics data (returns, RMAs, trade-ins) to identify root causes, improve recovery rates, reduce losses, and streamline workflows. Partner with supply chain, retail, finance, and IT to reconcile inventory and financial records, forecast return volumes, report executive-level insights, and recommend process or system improvements tied to device lifecycle and sustainability goals.

Client-facing data analyst supporting Navy Supply Operations: analyze structured and unstructured data, prepare data for models, define metrics/KPIs, create visualizations and presentations, advise stakeholders, and support decision-making. Requires Secret clearance.

Provide data management, analysis, and reporting support for real property records and program performance. Maintain data quality and governance, develop KPIs, prepare dashboards and briefings, support regulatory interpretation, collaborate with stakeholders, and produce written and visual summaries to inform bureau leadership and decision-making.

The Senior Data Analyst will deliver quantitative insights and strategic recommendations for Customer Success Commercial Operations. Responsibilities include analyzing user behavior, developing commercial models and forecasts, translating business needs into actionable analyses, communicating findings to executives, and building scalable, reproducible data assets using complex SQL and code-based workflows. The role also supports go-to-market strategy, retention initiatives, revenue planning, operational decisions, product roadmaps, and mentorship of junior analysts.

Support Product, Marketing, and Operations with operational reporting, ad-hoc analysis, and dashboarding. Build and maintain Tableau dashboards, write SQL and Databricks data marts, automate recurring reports with Python (pandas), standardize metrics, and improve reporting reliability while collaborating cross-functionally.

Collect, analyze, and interpret workforce and HRIS data to produce dashboards, reports, and insights that inform HR strategy and compliance. Serve as HRIS subject-matter expert, validate data for system changes, support regulatory reporting, and partner with HR leaders to automate and improve workforce analytics and reporting processes.

Leads complex data and reporting solutions across the product lifecycle. Partners with customers, engineers, architects, vendors, and project teams to gather requirements, build datasets, reports, and dashboards, analyze business problems, manage testing, resolve defects, assess risks, and deliver improvements. Provides subject matter expertise, strategic direction, customer communication, cost-benefit analysis, compliance oversight, and mentorship to data analysts.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Investigate and resolve complex data issues across Commercial Banking by developing SQL- and Python-based data quality controls, monitoring frameworks, automation, dashboards, metadata, lineage, and governance documentation. Partner with business and technology stakeholders to improve data stewardship, regulatory compliance, and decision-making. The role also modernizes governance through AI, agentic technologies, and emerging automation tools.

Partner with Sales and GTM stakeholders to build production analytics, pipelines, and dashboards that drive B2B revenue. Field cross-functional requests, define core metrics and semantic layers, automate recurring workflows, and present insights to technical and non-technical audiences.

Partner with Sales to build analytics, dashboards, and production data pipelines that drive B2B revenue. Own metric definitions and semantic layers, automate recurring workflows, and translate insights into clear narratives for technical and non-technical stakeholders, including senior leadership.

Lead delivery and evolution of scalable data products for marketing and enterprise analytics. Build and modernize data pipelines, integrate high-volume datasets, analyze trends, and produce actionable insights. Partner with stakeholders to translate needs into data solutions, ensure data quality and compliance, document products, monitor usage and performance, and support user adoption during cloud migration efforts.