Top Data Analyst Jobs

Collects and analyzes business and operational data, develops reports and dashboards, manages documentation, and supports process improvement. The role creates AI-enabled automation solutions, configures AI agents, integrates Microsoft 365 tools with approved AI platforms, and produces executive briefings, legislative summaries, and recurring information products for DLA leadership.

The Data Analyst will lead end-to-end analytics, develop metrics and dashboards, automate reporting and data-quality checks, and build lightweight scoring, classification, similarity, and risk-adjustment models. The role partners with Sales, Operations, Product, and leadership to answer ambiguous business questions, standardize reporting, and influence priorities. Strong SQL and Python skills are required, along with dashboard development and stakeholder communication. Healthcare data, dbt, Snowflake, and engineering collaboration experience are preferred.

Researches and resolves complex data, data-linking, and consumer dispute questions; improves data quality and integrity; supports regulatory compliance initiatives; builds visualizations and insights; and communicates technical findings to nontechnical stakeholders. The role partners with business and technology teams, uses AI-enabled tools, and applies data governance, SQL, Power BI, and reporting skills to support operational and customer decisions.

Analyzes economic, operational, public realm, and downtown conditions data to support program improvement, policy, strategic planning, and advocacy. Builds datasets, dashboards, maps, reports, surveys, and presentations; communicates findings to internal and external stakeholders; coordinates with data vendors and public agencies; improves data quality, reporting tools, automation, and staff data-use practices.

Leads advanced analytics initiatives supporting Tribal healthcare programs and strategic decision-making. Develops predictive and prescriptive models, integrates complex data sources, establishes data quality frameworks, evaluates healthcare data resources, and produces reports and dashboards. Coordinates cross-functional projects, ensures federal compliance, supports quality measurement, mentors junior staff, and may serve as a team lead.

Manage product and item master data across enterprise systems, including setup, maintenance, bulk uploads, validation, audits, and data quality reviews. Investigate root causes of data issues, coordinate resolutions with business and technology teams, document requirements and processes, and support system enhancements and user acceptance testing. The role also contributes to data governance, process improvement, regulatory and industry data standards, and global supply chain initiatives.

Analyzes marketing, website, campaign, and funnel performance using dashboards, reports, SQL, web analytics, data warehouses, and visualization tools. Evaluates A/B and multivariate tests, improves attribution and measurement capabilities, and translates complex data into actionable recommendations. Collaborates cross-functionally to optimize campaigns, website conversion, audience growth, revenue, and marketing efficiency while presenting insights to technical and non-technical stakeholders.

Lead analytics for subscription products and web funnels, partnering with Product, Marketing, and Data teams to improve conversion, retention, and LTV. Build trusted dashboards, SQL data models, event tracking structures, funnel and cohort analyses, and A/B testing insights. Monitor metrics, identify anomalies, communicate recommendations, and mentor junior and mid-level analysts while maintaining reliable reporting and data foundations.

Analyzes data from internal and external sources to identify business performance trends, root causes, and improvement opportunities. Builds dashboards, visualizations, reports, and business intelligence tools for stakeholders in the fintech space. Partners with internal teams to define data needs, communicate findings, recommend operational improvements, and support the UX/UI experience of data products.

Analyze and govern marketing data, build dashboards and reports, validate tracking and data quality, develop customer journey segmentations, support campaign measurement and A/B testing, and translate findings into actionable recommendations. The role partners with marketing, communications, analytics teams, stakeholders, and vendors to improve data governance, reporting processes, marketing effectiveness, and data-driven decision-making.

Build and maintain Power BI dashboards and reporting infrastructure for marketing performance, campaign ROI, pipeline contribution, and leadership insights. Analyze data across CRM, marketing automation, and analytics systems, resolve data quality issues, and communicate recommendations to stakeholders. Execute email, nurture, landing page, and event campaigns; manage segmentation, reporting, compliance, and documentation. Support marketing technology integrations, reporting governance, and recurring analytical deadlines.

Analyzes ERP data, develops and standardizes business reports, converts existing reports to Microsoft Power BI, supports data cleanup, and improves report usability across departments. The role requires strong communication, problem-solving, organization, and customer service skills while managing multiple priorities and documenting reporting code.

Executes technical data governance, data quality, metadata management, and Collibra administration. Performs data profiling, implements quality rules, maintains metadata lineage and asset diagrams, reports on quality metrics, and supports incident root-cause analysis. Requires strong SQL, Collibra, and data quality tooling experience, with preferred API integration and cloud data environment experience.

Leads marketing measurement strategy through geo holdout and incrementality testing, forecasting, experimentation, and statistical analysis. Partners with Marketing, agencies, and Data Science to guide channel budgets and campaign decisions. Queries large-scale data using SQL and Python in Databricks and BigQuery, develops measurement models, automates analyses with AI tools, and mentors analysts while providing technical leadership.

Analyze operational and software data to support decisions, define success metrics, identify efficiency opportunities, and propose experiments. Build data models, dashboards, reports, and visualizations; analyze large cloud-based datasets; modify queries; conduct A/B testing and web analytics; and communicate insights and recommendations to global operational stakeholders.

Leads enterprise risk dashboards, semantic models, data pipelines, and predictive and descriptive analytics using Power BI and SQL. Partners with IT, finance, audit, compliance, and operations teams to ensure data quality, governance, security, and regulatory compliance. Translates complex risk and audit datasets into actionable insights for senior leadership while establishing responsible AI, analytics, and data warehouse governance practices.

Profiles and analyzes data sources, documents end-to-end lineage, maps source data to canonical models, and supports API schema design. Develops data quality, validation, metadata, and governance documentation while collaborating with engineers, architects, clients, and stakeholders to define clear technical requirements for enterprise data products, APIs, and analytics.

Develop and maintain Power BI dashboards and recurring reports; validate and reconcile data across systems; analyze patient, referral, authorization, dispensing, and operational workflows; monitor KPIs and service levels; investigate discrepancies; and translate findings into actionable recommendations for internal teams, clients, manufacturers, and leadership. The role also supports requirements gathering, user acceptance testing, reporting enhancements, QBR presentations, documentation, and process improvement.

Collects, analyzes, reconciles, and enters information from multiple sources supporting the U.S. Attorney’s Office Asset Forfeiture Section. Maintains case files, tracks deadlines, coordinates information requests, prepares accurate reports and summaries, performs case-related word processing, and provides timely status updates. The role requires strong organization, attention to detail, communication skills, legal document comprehension, Microsoft Office proficiency, U.S. citizenship, and a 7- or 10-year background investigation.

Analyzes complex structured and unstructured datasets to generate insights, metrics, visualizations, and recommendations for national security clients. Develops data methodologies, cleans and transforms data, builds and validates statistical models, and presents findings to stakeholders. Requires expertise in Python, data visualization, protected data, ethical AI, and collaboration with cross-functional teams.

Analyzes complex structured and unstructured data for National Security clients, developing methodologies, models, visualizations, metrics, and recommendations. The role involves data wrangling, statistical analysis, Python-based interfaces, Tableau or Matplotlib visualizations, and presenting findings to clients and stakeholders. The analyst supports cross-functional decision-making, handles protected data and ethical AI practices, and requires knowledge of military and Intelligence Community environments.

The Data Analyst II supports data extraction, cleansing, validation, transformation, ETL, reporting, dashboard creation, and visualization using SQL, Power BI, and Python. The role also assists with AI-enabled tools, automation, APIs, prototypes, and application workflows. Responsibilities include documenting data processes, validating outputs, communicating insights, supporting data quality and security, collaborating with stakeholders, and leading smaller-scope tasks with guidance from senior team members.

Collects, analyzes, reconciles, organizes, and enters information from multiple sources supporting USAO asset forfeiture cases. Maintains case files, tracks deadlines, coordinates information requests, prepares reports and correspondence, performs case-related word processing, and provides timely status updates.

Monitors and quality-checks data processes, ETL workflows, data warehouses, and client reports. Reviews and improves documentation, identifies data quality issues, runs scripts, supports report modifications, automates production code, and develops ad hoc reports. The role requires understanding campaign data inputs, business requirements, and client objectives while communicating findings to internal stakeholders.

Build and maintain dbt data models and BigQuery analyses supporting supply, marketplace, and partner success operations. Investigate data anomalies, create dashboards and reporting, improve fill-rate and fulfillment performance, maintain reliable data infrastructure, and eventually develop predictive models. Collaborate with Supply, Marketplace, Partner Success, Product, and Engineering teams to translate business needs into scalable data solutions.