Top Data & Analytics Jobs

Collects, analyzes, reconciles, and enters information from multiple sources to support FBI asset forfeiture case operations. Maintains case files and databases, tracks deadlines and file status, coordinates information requests, prepares accurate reports and summaries, processes case-related documents, and provides timely updates. The role requires meticulous data entry, strong organization, communication skills, document evaluation ability, and familiarity with Microsoft Office and database applications.

Analyzes and organizes information from multiple sources in support of FBI asset forfeiture and law enforcement initiatives. Responsibilities include data entry, reconciling inconsistencies, maintaining case files, tracking deadlines, coordinating information requests, preparing reports and summaries, processing documents, and providing timely status updates. The role requires strong attention to detail, communication, organization, legal-document comprehension, Microsoft Office proficiency, U.S. citizenship, and completion of a background investigation.

Analyze, clean, integrate, and validate financial and operational datasets using SQL, Python, and Databricks. Develop data models, quality metrics, dashboards, reports, and visualizations supporting financial performance, budget execution, compliance, and management decisions. Collaborate with financial, technical, and client stakeholders, lead meetings, document action items, and contribute to consulting and business development initiatives.

Analyzes complex insurance data and business processes to develop reporting, data models, proprietary tools, and analytical solutions. Partners with internal teams, agents, and customers to gather requirements, communicate insights, improve processes, and support business growth. The role includes project management, report design, database modeling, quality review, stakeholder presentations, and mentoring less experienced team members.

Serves as the liaison between business stakeholders and ServiceNow developers, gathering requirements and mapping business processes to workflows. The role supports dashboards, KPIs, performance analytics, data validation, cleansing, transformation, testing, UAT, documentation, data governance, compliance, training, and process optimization. It develops user stories, acceptance criteria, and test scripts while helping federal agencies improve ServiceNow reporting, workflow automation, and operational performance.

Analyzes and validates healthcare and electronic health record data throughout its lifecycle. Develops databases, data collection systems, analytics strategies, reports, and visualizations; monitors data quality and compliance; identifies trends and patterns; and maintains reusable analytical assets. The role handles confidential behavioral health information and protected health data, requiring compliance with HIPAA and 42 CFR Part 2. Occasional travel to the Sacramento office or another location may be required.

Leads revenue analytics projects using Python, SQL, PySpark, Databricks, and Tableau. Analyzes KPIs, performs statistical testing, forecasting, and root-cause analysis, builds reporting and automated tools, maintains data pipelines, and communicates actionable insights to stakeholders. The role also mentors analysts and supports revenue optimization through data-driven solutions.

Leads audit analytics across the full audit lifecycle, including risk-based testing, continuous auditing, reporting, dashboards, and data visualization. Advises audit teams and leadership on healthcare data, Epic systems, AI governance, automation, and AI-enabled audit solutions. Evaluates AI risks involving data integrity, bias, explainability, controls, ethics, and compliance. Provides mentoring, supports complex healthcare audits, collaborates with data owners and IT partners, and advances analytics methodologies and standards.

Analyze customer behavior and business performance data to identify strategic opportunities, define measurement strategies, test hypotheses, and deliver actionable insights. Partner with business leaders across acquisition, activation, retention, and reactivation initiatives. Create clear reports, dashboards, visualizations, and presentations that support data-driven decisions and improve customer experiences.

Leads healthcare quality analytics using hospital performance, national rankings, Medicare claims, and CMS data. Replicates quality methodologies, identifies improvement opportunities, builds dashboards and benchmarking tools, and establishes analytic validation standards. Presents insights to executives and customers, supports pre-sales and engagements, partners with data scientists and consultants, and mentors analysts.

Develop Power BI reports, dashboards, dimensional data models, and optimized reporting solutions. Extract and transform data using SQL, DAX, and M, while gathering business requirements and supporting data collection processes. The role also requires C#/.NET microservice development, SQL Server engineering, Docker and Kubernetes familiarity, GitHub Actions CI/CD, production troubleshooting, and application support. Experience with Power Platform, React, APIs, automated testing, cloud platforms, and construction or semiconductor construction is valuable.

Develops customer-facing reports and dashboards using regulatory intelligence data. Translates customer requests into scoped queries, extracts and validates data, builds visualizations and executive reports, performs QA, and manages delivery. The role requires interpreting FDA enforcement actions, Form 483 observations, warning letters, and inspection records while ensuring accurate, polished outputs. It also involves using BI tools, SQL, and AI-assisted workflows to support data exploration and reporting.

Analyze corrections and parole administrative data using SQL and Python, model policy scenarios, quantify tradeoffs, and communicate findings to criminal justice decision-makers. The role owns analytical projects end to end, from scoping and strategy through modeling, stakeholder materials, and implementation support. Analysts collaborate with state partners, identify opportunities for further analysis, and develop reusable analytical frameworks to influence policy reforms.

Develop and optimize advanced SQL transformations, stored procedures, ETL workflows, and data-quality processes for large Medicaid claims and health-related social needs datasets. Build reproducible, documented data pipelines; calculate healthcare quality, equity, and disparity metrics; conduct code reviews; and collaborate with stakeholders to turn complex data into visualizations and policy insights.

Analyze transaction, merchant, and portfolio data to detect credit, fraud, and operational risks. Build dashboards, reports, models, and automated workflows using SQL, Snowflake, Tableau, and related tools. Support underwriting improvements, chargeback and dispute remediation, portfolio segmentation, regulatory requests, and audit documentation. Collaborate with product, engineering, compliance, fraud operations, and data teams, and present actionable findings to management.

Leads enterprise data governance and regulatory technology programs involving data catalogs, lineage, entitlements, quality, metadata, and data contracts. Owns intake prioritization, roadmap delivery, agile coordination, executive governance reporting, audit-ready controls, and platform adoption. Partners with engineering teams and senior data leaders to advance data mesh, data product, self-service, and domain-driven ownership strategies.

Own analytics as an internal data product across GTM, People, Finance, and related functions. Translate ambiguous business questions into self-service data solutions, deliver executive-ready narratives, manage stakeholder priorities, and guide data-driven decisions. Serve as a marketing analytics subject matter expert across attribution, campaign measurement, lead tracking, funnel analysis, predictive modeling, and experimentation. Use SQL, modern data-stack tools, BI platforms, and AI-assisted modeling to deliver actionable insights.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

The Senior Data Analyst will lead metrics definition, reporting, statistical analysis, experimentation, dashboard management, and pricing analytics. The role involves building data pipelines, collaborating with data engineers on data assets and feature stores, investigating complex business questions, and translating analytical findings into strategic recommendations for product, pricing, and senior leadership. Strong SQL, statistics, econometrics, communication, and cross-functional collaboration skills are essential.

Drive AI automation for card data by developing data solutions, business intelligence tools, metrics, dashboards, and data-quality monitoring. Analyze complex structured and unstructured data, establish data governance and lineage, support access governance, and partner with technology and business teams. The role requires scripting, querying, visualization, AWS development, and experience applying LLM technologies to data strategies and process improvement.

Processes, analyzes, validates, and improves Multi-GNSS data for precision positioning, navigation, timing, geolocation, and scientific applications. Develops automated workflows using GNSS processing software and programming languages, performs error modeling and ambiguity resolution, integrates GNSS with IMU/INS data, assesses solution quality, supports remote sensing missions, and communicates technical findings through reports, publications, and presentations. Participation in field campaigns may be required.

Owns ERP data migration from legacy systems to IFS Cloud, including extraction, profiling, cleansing, mapping, mock loads, reconciliation, cutover, and business sign-off. Establishes enterprise master data governance for items, customers, and vendors. Builds Microsoft Fabric data pipelines and Power BI models, automates validation, and maintains data quality controls. Collaborates with Finance, Operations, Supply Chain, IT, and implementation partners while documenting standards, training data owners, and supporting agile delivery.

Supports Power BI reporting, Microsoft Fabric data organization, data quality validation, KPI tracking, reconciliations, documentation, and ad hoc analysis. Assists with Power Automate workflows, digital transformation, and emerging AI initiatives, including source-data preparation and solution testing. Collaborates with business and technical teams across Finance, Operations, Supply Chain, and Project Management while helping improve reporting reliability and business processes.

Develops enterprise Tableau dashboards, executive scorecards, and KPI reporting using advanced SQL and business intelligence techniques. Analyzes financial, operational, lending, and member data; performs forecasting, statistical analysis, data validation, and root cause analysis. Partners with executives and stakeholders to translate business needs into scalable reporting solutions, communicates actionable insights, supports data governance, and mentors junior analysts.

The Data Analyst develops SQL reporting and validation queries, builds Power BI dashboards, analyzes business data, and supports customer implementations involving migration, configuration, and testing. The role also maintains web platforms, troubleshoots data integrations, ensures data integrity and compliance, documents workflows, and collaborates with technical and business stakeholders to improve reporting and system performance.