Top Data & Analytics Jobs

Leads enterprise reporting, data modeling, governance, reconciliation, and dashboard development across wealth management systems. Ensures data integrity and standardized KPI reporting while analyzing financial and operational trends. Partners with business, technology, operations, finance, and senior leadership to deliver actionable insights, improve reporting processes, support system transformations, and drive adoption of consistent reporting practices.

Leads enterprise data modeling, governance, reconciliation, and reporting across wealth management systems. Develops dashboards and KPI frameworks, ensures data integrity, analyzes financial and operational trends, and delivers executive insights. Partners with business, technology, operations, and finance teams to standardize reporting, support system transformations, improve automation, and drive data-informed decisions.

Analyzes complex data from diverse sources to evaluate programs, develop metrics, create datasets and dashboards, conduct statistical and qualitative research, and deliver recurring reports. Presents findings to stakeholders, supports operational decision-making, audits data quality, and collaborates across teams. The role also mentors junior analysts and manages reporting deliverables. Advanced experience with statistical analysis and visualization tools is required, with bioinformatics and multiomics experience preferred.

Lead analytical projects and experiments focused on customer and product behavior, lifecycle growth, segmentation, and engagement. Build data models, semantic layers, AI agents, dashboards, and reporting systems. Partner with Product, Marketing, Engineering, and Data teams to define metrics, evaluate initiatives, and influence strategy. Apply statistical modeling, predictive analytics, causal inference, and experimentation techniques, while communicating actionable insights to technical teams and senior leadership.

Analyze complex datasets, build Power BI dashboards and reports, write SQL, and use Python with Pandas and NumPy for data manipulation and automation. Work extensively with Snowflake, validate and reconcile data, define KPIs, support forecasting and AI-driven analytics, and translate stakeholder requirements into analytical solutions. Present insights and recommendations while collaborating with business, data engineering, and data science teams to improve reporting, data quality, governance, and self-service BI.

Own product analytics for CookUnity’s marketplace, analyzing discovery, conversion, ordering, retention, customer behavior, and marketplace economics. Design and interpret experiments, define metrics and guardrails, build dashboards, validate instrumentation, and translate ambiguous product questions into actionable recommendations. Partner closely with Product, Design, Engineering, User Research, and business teams to guide decisions and improve customer experience, repeat ordering, and sustainable marketplace performance.

Analyze large structured and unstructured datasets supporting USCENTCOM’s data lake, machine learning, artificial intelligence, and intelligence initiatives. Develop data methodologies, pipelines, metrics, visualizations, and self-service reporting solutions. Translate technical findings into actionable recommendations for clients, stakeholders, and Joint Combatant Command organizations. Collaborate with intelligence and data teams while advising on data-driven decisions that improve military mission outcomes.

Analyze business and operational data to identify trends, explain performance, and provide actionable insights. Build and maintain SQL and Python workflows, datasets, pipelines, and reports; validate data quality; apply statistical methods; translate stakeholder questions into analytical requirements; and automate manual processes to improve reporting efficiency and scalability.

Collects, analyzes, validates, and reports data while maintaining data integrity and accuracy. Prepares standard, exception, custom, and client reports; supports internal and external users; assists with client setup and maintenance; and contributes to quality programs. Requires strong query and report writing, analytical, communication, organizational, troubleshooting, and problem-solving skills.

Collects, analyzes, reconciles, and organizes information supporting DEA asset forfeiture casework. Enters data into databases and spreadsheets, maintains physical files, tracks case deadlines, coordinates information requests, prepares reports and correspondence, performs case-related word processing, and provides accurate status updates.

Analyze, clean, validate, and visualize structured and unstructured data supporting military capability modernization. Develop data methodologies and pipelines, assess data quality, identify trends, establish metrics and KPIs, and present findings to clients and senior Joint Force stakeholders. Use Python, R, SQL, Palantir Foundry or Maven Smart Systems, Microsoft tools, Tableau, Qlik, and Power BI to produce insights, recommendations, documentation, and cross-functional solutions.

Analyzes website and digital marketing performance data, builds dashboards and reports, supports tracking implementation, and evaluates A/B and multivariate tests. The role identifies customer behavior trends, conversion opportunities, and digital performance insights, translating complex analyses into actionable recommendations for Marketing, Product, Engineering, agencies, and leadership.

Collects, analyzes, reconciles, and organizes information from multiple sources; enters data into databases and spreadsheets; maintains case files; tracks deadlines; coordinates information requests; prepares accurate reports, summaries, documents, and responses; performs case-related word processing and provides status updates while supporting DEA asset forfeiture activities.

Leads teams designing and enhancing Palantir Foundry and Vantage data solutions for federal financial management clients. Builds pipelines, transforms, datasets, and data lineage using Python, SQL, PySpark, and Spark. Supports financial reporting, data transparency, controls, reconciliation, and data-driven decisions. Serves as a client leadership contact, provides strategic guidance, leads multidisciplinary teams, mentors staff, and translates technical concepts for stakeholders.

Analyzes complex healthcare and revenue cycle data to identify trends, measure operational and financial performance, and provide actionable recommendations. Develops reports, dashboards, analytical models, and structured datasets using SQL, Databricks, and BI tools. Partners with cross-functional teams to define requirements, validate data, communicate insights, and support continuous improvement initiatives.

Analyzes and validates Plex manufacturing data, maintains system accuracy, monitors KPIs, inventory, orders, and production-planning metrics, and prepares weekly and monthly reports. Supports Plex troubleshooting, evaluates data updates affecting MRP, tracks corrective actions, improves supply-chain procedures, and helps develop work instructions. The role also provides training, supports compliance documentation, and guides planners using production and inventory insights.

Collects, cleans, analyzes, and validates manufacturing data from Plex, ERP, MES, sensor, and inventory systems. Builds predictive models, dashboards, reports, and financial forecasts covering production efficiency, quality, inventory, scheduling, costs, and KPIs. Performs root-cause analysis, supports process improvement, maintains data pipelines, ensures inventory and COGS accuracy, and trains manufacturing personnel on data collection and reporting practices.

Supports data stewardship and governance workflows, including metadata, taxonomies, data-use agreements, MOUs, ISAs, responsible data-use practices, and governance evidence. Provides Trustworthy AI governance support through model documentation, risk assessments, monitoring outputs, issue logs, and corrective-action tracking. Collaborates with technical, security, quality, governance, and customer-facing stakeholders while documenting decisions, risks, and delivery evidence.

Maintains and standardizes Plex manufacturing data, monitors KPI and inventory metrics, analyzes order and supply chain performance, prepares recurring reports, supports MRP/PRP accuracy, improves data processes, develops work instructions, and tracks departmental action items and corrective measures.

Collects, cleans, validates, and analyzes manufacturing data from Plex, ERP, MES, sensor, and inventory systems. Builds predictive models, dashboards, reports, and data pipelines covering KPIs such as yield, OEE, scrap, inventory, and production efficiency. Performs root-cause, financial, forecasting, and variance analyses to support process improvement, scheduling, cost reduction, and capital investment decisions. Trains production personnel on data collection and dashboard use while supporting supply chain, logistics, budgeting, and COGS reporting.

Leads marketing data and analytics initiatives that improve audience targeting, campaign execution, measurement, and operational reliability. Translates business objectives into technical requirements, designs data and audience management approaches, develops quality monitoring and reporting, manages issue resolution, and partners with Product and Technology on platform enhancements. The role also identifies responsible AI applications, establishes governance and controls, and supports measurable, repeatable delivery across digital marketing channels.

Build and maintain revenue analytics data repositories, reports, dashboards, data models, and governance processes. Analyze large datasets across multiple systems to generate business insights, improve reporting accuracy, and identify customer and product sales behaviors. Collaborate with cross-functional teams on automation, process optimization, cost reduction, and change management. Present findings to senior leaders and support data-driven business decisions.

Build analytical models, forecasts, scenario analyses, dashboards, and reports for DGX Cloud capacity demand, supply, utilization, allocation, and operational performance. Translate business questions into actionable insights, optimize prioritization, resolve supply chain issues, and present recommendations to senior stakeholders. The role requires advanced SQL, Python, and Tableau proficiency, strong analytical communication, and at least eight years of data analysis experience.

Build and operate Envoy’s marketing data platform on AWS, including dbt models, attribution systems, serverless applications, APIs, reverse ETL, event-lake integrations, lead-scoring models, and experimentation analytics. Partner with Marketing, RevOps, Data, and Finance to measure funnel performance, revenue attribution, CAC, payback, and channel ROI. Ensure data reliability through testing, CI, monitoring, and cost controls.

Designs, tests, and maintains SQL-based data quality rules; analyzes datasets, investigates exceptions, supports root-cause remediation, and monitors data quality. Partners with business and technology stakeholders to translate requirements into technical controls. Supports data governance activities involving metadata, lineage, ownership, issue management, documentation, and reporting.