Top Data & Analytics Jobs

The Data Collector/Analyst will collect, validate, and analyze test data from border security systems, performing statistical analysis and supporting evidence-based recommendations.

Design, develop, and maintain dashboards, semantic models, and reports using Microsoft Fabric, Power BI, and Snowflake. Analyze high-volume data sets, write and optimize complex SQL (PostgreSQL), ensure data quality, collaborate with cross-functional stakeholders, and support report migrations and deployments. Provide actionable insights to drive business decisions and work independently on complex analytics projects.

Lead growth analytics for acquisition and activation funnels: measure channel performance, build data models and KPI reporting, run experiment analysis, and translate insights into business recommendations. Partner with Growth product team and leadership to visualize results and drive strategy.

Support end-to-end deployment of actuarial pricing in Earnix, perform statistical modeling and data analysis, build dashboards and reports, validate and govern deployments, coordinate releases across environments, monitor production rating behavior, and present findings to stakeholders.

Analyze and develop algorithms for EO/IR sensor data including detection, tracking, filtering, signature and multispectral calibration. Perform sensor data fusion, uncertainty and statistical analysis, interpret trends, and improve algorithm performance. Communicate technical findings and support data reduction for customer test events.

Support FBI mission by gathering, reconciling, entering, and organizing information from multiple sources; maintain case files, produce reports and status updates, perform word processing, and coordinate requests to ensure compliance with deadlines.

Perform data analysis, write and optimize SQL queries, derive insights, and communicate findings to stakeholders. Requires 5-7 years' experience and strong communication skills.

Perform quantitative and unstructured data analysis, develop data-gathering applications, create SQL queries and visualizations, document business and functional requirements, establish KPIs, optimize inventory and supply metrics, and support process improvement and auditing activities.

Provide operational reporting and ad-hoc analysis to support B2B digital content marketing. Collect and define business requirements, automate manual processes with Sales & Marketing IT, and deliver BI reports and dashboards using MSFT BI, SAP BW, Excel, and related analytics tools.

Remote paid internship supporting Infrastructure reporting: gather and clean data, build small databases, run queries, analyze trends, generate and maintain reports and monthly decks, document procedures, and present findings under manager supervision.

Provide advanced technical support and subject-matter expertise for Relativity platforms (RelativityOne/Server), design and maintain complex workspaces and permissions, configure analytics/processing/imaging, develop event handlers and advanced search logic, deliver client-facing training/demos, mentor junior analysts, review deliverables, and maintain eDiscovery SOPs and best practices.

Support implementation by engaging providers to collect encounter and clinical data, educate on file standards, define record layouts and mappings, transform/enrich provider files, investigate defects via databases and logs, and update tracking registers for implementation and operational reporting.

Prepare financial reports, support master data management and integrity, conduct market research analysis, and participate in improving master data processes. Requires strong analytical, communication, organizational, and computer skills; willingness to relocate to the US and commit to at least one year as a consultant.

Use client platform data to identify trends and actionable insights. Create reports, dashboards, and metrics; perform statistical and predictive analysis; validate data quality; integrate data sources; collaborate with stakeholders and technical teams to optimize systems; evaluate tools and train users on analytics capabilities.

Support design and delivery of a predictive lifecycle management solution in Palantir Foundry. Perform exploratory data analysis, feature engineering, data quality assessment, and source analysis. Build data dictionaries and ERDs in Figma, document technical solutions, communicate insights to stakeholders, and participate in customer meetings.

Support analytics team by analyzing marketing and social performance, building client-facing reports and visualizations, identifying KPIs, performing data quality checks, and communicating insights and recommendations to nontechnical stakeholders. Assist with monthly reviews and collaborate on dashboarding, ETL understanding, and tool improvements.

Support healthcare and operational analytics by extracting, validating, and analyzing claims, pharmacy, lab, and operational data. Develop and maintain reports and dashboards using SQL, Excel, and BI tools, document workflows, meet regulatory reporting needs, and present insights and recommendations to stakeholders.

Lead healthcare payment integrity analyses, collaborate with clients and internal teams, build and maintain large-scale SQL and Spark queries, design ETL/ELT transformations, implement AI/LLM-driven analytical workflows, perform data quality monitoring, and mentor analysts while documenting lineage and audit-ready methodologies.

Design, implement, and mature enterprise data governance frameworks for customer data. Establish standards and processes for data quality, metadata/catalog management, lineage, stewardship, and privacy/consent. Partner cross-functionally to operationalize controls, drive adoption, document standards, manage governance backlog, and support platform enablement and remediation workflows.

Lead liaison between business and technology for Data Services, translating strategic objectives into data, analytics, and reporting initiatives. Drive requirements gathering, solution design, prioritization, testing, delivery coordination, and adoption while partnering with Data Engineers, Architects, Governance, and Finance/HR stakeholders to ensure measurable business value.

Lead stakeholder engagement and translate strategic objectives into data and analytics initiatives. Define requirements, business rules, solution scope, and acceptance criteria; coordinate delivery, testing, deployment, and change management; support data governance and ensure solutions deliver measurable business value for sustainability and landfill operations.

Analyze claims data using Python, SQL, dbt, PostgreSQL, Looker, and Excel; build ETLs, data models, reports, and visualizations; lead customer calls; provide technical recommendations; clarify requirements; and communicate precise insights while collaborating with engineering and operations teams.

The Data Analyst analyzes complex datasets, identifies trends and risks, validates business requirements, and collaborates with technical teams to support reporting and decision-making.

Analyze customer sales and behavioral data to impact decisions, develop reports, optimize campaigns, and enhance user experience in ecommerce.

As a Trainee Data Analyst, assist in data collection, cleaning, analysis, and support teams with reporting needs using SQL and visualization tools.