Top Data Analyst Jobs

As a Data Analyst, you'll partner with clients and media teams, solve problems through data analysis, create dashboards, and ensure effective media solutions.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

As a Data Analyst, you will explore and manage large datasets, build visual dashboards, and communicate insights to stakeholders. Responsibilities include collaborating with teams, cleaning data, and applying analytical skills to address complex issues.

As a Data Analyst, you'll consolidate fragmented data, create standard reports for marketing and finance, and establish the analytical processes for decision-making within the company.

The Data Analyst will conduct data analysis, create visualizations, and collaborate with teams to derive actionable insights for DOW's contract, ensuring data integrity and security.

The Data Analyst collects, organizes, and analyzes data, supporting data quality and customer-focused service, while managing workflows and documentation.

Lead end-to-end analytics: own KPIs and dashboards, define measurement with stakeholders, build scalable pipelines with Data Engineering, run deep-dive analyses, close reporting gaps, and advocate best practices in visualization, documentation, and metric consistency to inform business strategy.

Design, build, and maintain data solutions to support enterprise risk decisions. Partner with business stakeholders to create dashboards and analyses, apply scripting for data processing, ensure data quality, lineage, and governance, and collaborate with tech teams on security and access.

Collects, analyzes, and reports data to ensure data integrity and accuracy. Prepares and distributes reports, creates exception and custom reports, supports clients and internal users, and assists with client setup and quality programs.

Build predictive data pipelines, machine learning models, dashboards, and automated decision tools for portfolio strategy. Analyze product performance, costs, monetization, competitive intelligence, customer behavior, and feature opportunities. Govern metrics and data quality using SQL while enabling self-service AI and natural-language data access. Support roadmap prioritization, ROI assessment, initiative tracking, and executive decision-making through advanced analytics and financial modeling.

Full-time summer data analyst intern supporting projects that distill complex data into business insights and improve client and investment outcomes. The intern will collaborate across business lines, communicate findings, work independently and in teams, and receive coaching, mentorship, and networking opportunities.

Supports data cleansing, quality checks, reporting, dashboards, data-source and metadata maintenance, data integrity, and normalization. Translates reporting requirements and analytical results for nontechnical audiences, handles sensitive information securely, and assists end users with reports and dashboards. Works under senior analyst guidance in a federal environment and must be able to obtain and maintain a Public Trust clearance.

Analyzes data from university systems to support student success, operational efficiency, institutional reporting, and executive decision-making. Develops dashboards and reports, integrates data sources, ensures data quality, supports data warehousing and governance, and uses AI-enabled analytics for forecasting and anomaly detection. Collaborates with campus departments, trains end users, and promotes data literacy and responsible data use.

Develop and maintain Palantir Foundry data pipelines, transformations, analytical workflows, dashboards, and user-facing applications. Analyze and validate data from multiple sources, translate stakeholder requirements into solutions, troubleshoot issues, and support data modeling, testing, documentation, and deployment. Apply Python, SQL, JavaScript or TypeScript, ETL/ELT, cloud, low-code, and UX/UI practices while collaborating with technical teams and government clients.

The Data Analyst gathers, validates, and analyzes data from multiple sources to identify trends, evaluate KPIs, and generate actionable insights. They develop and maintain reports, dashboards, visualizations, and business intelligence solutions using tools such as Power BI. The role also involves partnering with stakeholders, translating business needs into analytical requirements, presenting findings to technical and non-technical audiences, documenting work, and improving reporting and analytical processes.

Collects, cleans, analyzes, and validates manufacturing data from Plex, ERP, MES, sensor, inventory, and logistics systems. Builds predictive, operational, financial, reporting, and forecasting models; develops dashboards and automated reports tracking KPIs such as yield, OEE, scrap, inventory, and shipments. Performs root cause and variance analysis, supports process improvement and budgeting decisions, maintains data pipelines, ensures inventory and COGS accuracy, and trains manufacturing personnel on data practices and dashboards.

Support SAP BRIM data analysis, migration, and development across SOM, Convergent Charging, Convergent Invoicing, and FI-CA. Design SAP BODS ETL workflows, configure EMIGALL migration objects, develop mappings and reconciliation reports, validate migrated data, troubleshoot issues, and support testing, cutover, production stabilization, documentation, governance, and stakeholder collaboration.

Develop and support analytical systems for operational decision-making, identify KPIs with business process owners, analyze data lifecycles, define data warehouse and ETL requirements, validate data engineering results, build dashboards, and present insights to customers. The role requires at least one year of data or BI analyst experience, strong SQL and data visualization skills, analytical communication abilities, and fluency in Russian and English.

Performs data quality checks, anomaly detection, analysis, reporting, and metric development for FDNY. Builds interactive dashboards using Tableau, Dash, and Streamlit; fulfills ad hoc data requests; supports Mayor’s Management Report metrics and NYC Open Data datasets. Participates in community outreach, responds to public inquiries, represents FDNY at Open Data events, and gathers community feedback.

Collects, cleans, validates, and analyzes manufacturing data from Plex, ERP, MES, sensor, and inventory systems. Builds predictive models, automated reports, and dashboards tracking KPIs such as yield, OEE, scrap, inventory, and shipments. Performs root-cause, variance, financial, forecasting, and ROI analyses to improve production efficiency, scheduling, inventory, and costs. Maintains data pipelines, supports financial reconciliation, writes work instructions, and trains manufacturing personnel on data collection and dashboard use. May work second or third shift in a manufacturing environment.

Develops custom reports, dashboards, forecast models, presentations, and visualizations for corporate immigration clients and legal teams. Gathers business requirements, analyzes data quality, verifies reports, identifies process bottlenecks, and recommends solutions. Provides reporting support for immigration petitions and applications, translates business messaging into data-driven insights, and coordinates reporting requests. Requires expertise in Excel, data visualization, business analysis, corporate immigration, and strong communication and organizational skills.

Owner of multiple third-party and in-house applications; leads data warehouse operations, translates business requirements into technical designs, develops and tests solutions, troubleshoots issues, evaluates products, mentors junior staff, and collaborates with vendors across project lifecycles.

Work independently on healthcare analytics projects, manage client relationships, perform statistical analysis and predictive modeling, build BI reports and visualizations using R, SAS, SPSS, Cognos, and Business Objects. Report to the Senior Consultant.

Perform independent healthcare analytics projects for clients: use statistical tools, predictive modeling, BI/reporting and data visualization. Build reports and insights using R, SAS, SPSS, Cognos, and Business Objects, and collaborate with the Senior Consultant to maintain client relationships.

Work independently as a healthcare analytics consultant on client projects, building strong client relationships. Use statistical tools and predictive modeling to produce business reporting and BI deliverables, perform advanced statistical analysis, create data visualizations, and operate tools such as R, SAS, SPSS, Cognos, and Business Objects. Report to the Senior Consultant.