Top Data & Analytics Jobs

Entry-level MetOcean Data Analyst supporting NOAA NDBC at Stennis Space Center. Analyze meteorological and oceanographic observations, identify observational errors and system anomalies, use scientific programming/analysis tools, and produce clear written and customer-facing documentation while managing varied workloads.

Performs data gathering, cleaning, exploratory analysis, data mining, visualization, dashboard development, and custom reporting for Army medical logistics and acquisition programs. Presents findings to technical and senior leadership, supports data infrastructure improvements, and collaborates with engineers, product managers, business analysts, and stakeholders. Applies military logistics concepts to analyze readiness, procurement, fielding, budgeting, and product authorization data.

As a Principal Data Analyst, you will innovate and manage data solutions, provide business intelligence, and ensure data quality for the Retail Bank.

Design and build data solutions using open-source technologies; enable self-service data consumption; partner with business to develop dashboards and insights; perform analysis; ensure data quality, metadata, lineage, and governance; collaborate with tech teams on security and data access; build monitoring and reporting for data quality.

Support warehouse operations by analyzing performance data, building dashboards and reports, automating recurring reporting, validating data, and providing actionable recommendations to improve productivity, labor utilization, inventory accuracy, and service performance. Partner with operations leadership for staffing, forecasting, and continuous improvement through statistical analysis and ad hoc investigations.

Analyzes data management performance, risk, compliance, trends, and improvement opportunities. Owns metrics and reporting from requirements through insight delivery, develops visualizations and actionable recommendations, and partners with business and control stakeholders. Translates business needs into analytics solutions using Excel, SQL, databases, and Power BI. Supports decision-making, KPI development, data quality validation, risk management, presentations, and small-scale initiatives while coaching others.

Analyze transportation and cross-functional business data, source and validate datasets, assess data quality, create visualizations, document business requirements, and communicate insights to stakeholders. Support exploratory analysis, process improvements, project activities, testing, and implementation planning using SQL, Python, and business intelligence tools.

Collects, cleans, validates, and analyzes operational data; builds dashboards and visualizations in Power BI and Tableau; develops Power Apps and Power Automate workflows; automates manual processes; identifies trends and data-quality issues; translates business needs into analytical and workflow requirements; tests, documents, and maintains solutions; and communicates findings to stakeholders in a client-facing consulting environment.

Lead analytics on large datasets, approve statistical and predictive models, oversee data collection and quality, produce actionable reports, partner with business units, and manage complex analytics projects to inform strategy and decision-making.

Support warehouse operations by analyzing performance data, building dashboards and recurring reports, monitoring KPIs, performing ad-hoc analyses, validating data, automating reporting, forecasting labor needs, and presenting actionable recommendations to operations leadership to improve productivity and service.

Build and manage Power BI dashboards and reports for fundraising performance, analyze large datasets and KPIs, identify trends, improve data workflows, and translate findings into clear recommendations. Partner with fundraising, marketing, analytics, and leadership teams to support data-driven decisions. The role requires advanced SQL, strong data visualization, fundraising or financial analytics experience, and a relevant bachelor’s degree.

Connect and synchronize disparate databases across data warehouse tools using APIs, Power Apps, Bots, and automated flows. Map and join datasets in Palantir Foundry, Advana, and Power BI; maintain data quality, architecture, and management documentation; establish KPIs; and build dashboards that deliver actionable insights. The role also supports data infrastructure improvements, database changes, AI-enabled outcomes, and collaborative ad hoc analysis in a hybrid environment.

Extracts, cleans, consolidates, and analyzes facilities maintenance, work order, environmental, and customer feedback data. Develops predictive indicators, dashboards, reports, cost and risk analyses, and recommendations to support work prioritization, funding, facility improvements, and command decisions. Translates findings into executable work packages, prepares briefings, documents methodologies, resolves data issues, and complies with Army, DoD, installation, information assurance, and PII policies.

Supports strategic pricing through competitive price reports, Power BI dashboards, Snowflake data queries and joins, pricing performance tracking, sales deal evaluation, exception pricing requests, and ad hoc projects. Collaborates with Finance, Marketing, Product Management, and Sales while developing pricing strategy and analytical skills.

Analyze marketing and media data to measure TV and streaming campaign effectiveness, validate data and assumptions, identify actionable insights, and create clear visualizations and client-ready presentations. The analyst will use Excel, BI and data platforms, SQL, and AI tools to accelerate analysis while independently validating results and explaining methodologies, KPIs, and recommendations to internal teams and clients.

Lead data quality, integration, analysis, and visualization efforts to support business decisions. Translate requirements into data-driven solutions, build advanced visualizations, monitor KPIs, perform profiling and cleansing, apply statistical analysis, integrate multi-system data, and mentor junior analysts to improve data governance, accessibility, and reliability across customer and merchandising domains.

Analyze and visualize data, define product and business metrics, develop reliable data models and pipelines, and build self-service dashboards and datasets. The role supports product performance, user research, business strategy, and customer satisfaction while collaborating with data scientists, analysts, engineers, and cross-functional stakeholders. Responsibilities include maintaining data models, troubleshooting analytics solutions, and contributing through discussions and code reviews.

Analyze and visualize data to solve product, business, and operational problems. Define performance metrics with stakeholders, develop and maintain accurate data models, and build datasets, dashboards, self-service tools, and data pipelines. The role uses SQL, Python, Git, dbt, and Omni, supports geospatial and enterprise data analysis, and contributes to a collaborative team through discussions and code reviews.

Develops and optimizes database queries, BI reports, data integrations, interfaces, databases, custom applications, automations, and analytics solutions. Collaborates with business stakeholders, technical teams, cybersecurity, and vendors to translate needs into secure, reliable data solutions. Provides advanced application and BI support, maintains technical documentation, communicates data insights, and supports governance, security, change control, and operational continuity.

Two-year rotational program for graduating students to analyze structured and unstructured data, develop dashboards and visualizations, apply SQL/Python/Tableau/Power BI, partner with business teams, and deliver insights that influence strategy and improve client and operational outcomes.

Two-year rotational program for recent graduates to analyze structured and unstructured data, build dashboards and visualizations, partner with business and tech teams, apply data governance, and deliver insights using SQL, Python, Tableau and cloud platforms to influence strategy and improve client and operational outcomes.

Analyzes large datasets to identify trends, variances, and revenue opportunities; builds data models, validates data quality, and supports pricing strategies. Creates management reports and presentations, collaborates with analysts, business partners, and IT, and provides actionable recommendations for revenue performance and strategic decision-making.

Provides client-facing business analysis for a laboratory asset management program. Integrates and governs complex asset data, standardizes records, develops KPI and SLA reporting, and analyzes downtime, repair rates, costs, and performance trends. Supports cost-savings validation, root cause analysis, process improvements, executive reviews, and data quality resolution. Collaborates with finance, operations, program management, customer success, and client stakeholders while maintaining communication and meeting deadlines.

Transform and integrate geospatial datasets into accurate, mission-ready cartographic products. Develop FME workflows, perform spatial analysis in QGIS, manage PostgreSQL/PostGIS data, apply cartographic principles, produce map layouts, and conduct quality control. Collaborate with analysts, developers, project managers, and government stakeholders. The role starts remotely and may transition onsite based on customer requirements.

Develop and maintain Power BI reports and dashboards, write SQL to retrieve and validate data, support Microsoft Fabric datasets and semantic models, investigate data quality issues, gather requirements, document solutions, and assist BI projects across manufacturing, supply chain, logistics, sales, and distribution teams.