Top Data & Analytics Jobs

Owns data quality, KPI governance, reporting accuracy, and business intelligence solutions for Verizon Value. Responsibilities include developing Power BI dashboards and semantic models, validating and reconciling data, investigating discrepancies, documenting reporting standards, automating reporting processes, and partnering with analytics, engineering, operations, client services, and Verizon stakeholders to improve data trust and reporting efficiency.

Analyzes, validates, reconciles, and extracts healthcare data from disparate systems using Excel and SQL. Supports SaaS implementation projects, customer troubleshooting, reporting automation through SFTP, and communication of findings to technical and nontechnical stakeholders. The role also assists with data integrity, issue resolution, customer updates, and implementation progress tracking.

Analyzes servicing, collections, application funnel, and contact-center data to identify performance gaps and inform business decisions. Builds automated reports, partner data files, Snowflake and dbt models, and operations dashboards. Maintains metric definitions, audits models, reconciles partner data, and develops business-case analyses. Uses AI tools to improve analytics workflows and collaborates with data engineering, product, and business teams.

Analyzes data and builds analytical datasets, data models, SQL queries, Python notebooks, dashboards, and reports using Databricks and BI tools. Identifies trends, validates data quality, translates business requirements into reporting solutions, documents data logic, and communicates insights to technical and non-technical stakeholders. The role also supports governance, security, lineage, and compliance across collaborative client delivery projects.

Analyzes structured and unstructured data to identify insights, develop algorithms, create dashboards and visualizations, apply statistical and machine learning methods, integrate data systems, and advise clients on data-driven decisions. Requires R, SQL, data analytics, visualization, machine learning, a bachelor’s degree, and TS/SCI clearance with polygraph. Python, data governance, and project management are preferred.

Analyzes and validates data to create dashboards, reports, notebooks, visualizations, and reusable analytical workflows. Partners with business, technical, and customer stakeholders to define questions, improve datasets, communicate insights, and support operational and revenue decisions. Uses SQL, Databricks, Python, cloud platforms, version control, and automation practices. Maintains data quality, documents assumptions, manages multiple analytical projects, and travels occasionally to lottery and corporate locations.

Paid data analyst intern to collect, clean, and analyze e-commerce and marketing datasets, build dashboards, generate customer and performance insights, support market research, and collaborate with marketing, product, and sales teams to drive data-informed decisions.

Designs enterprise data architectures and models while establishing governance, ownership, stewardship, metadata, and lineage practices. Facilitates stakeholder workshops, gathers requirements, documents business processes and solution designs, and partners with technical delivery teams. Supports data products, analytics, and digital transformation initiatives across manufacturing, supply chain, industrial IoT, and other operational environments. The role also contributes to scalable data platforms and operational and analytical use cases.

Analyze patient cycle times from consultation through treatment start for comparable prostate cancer cases across two first-quarter periods. Review patient charts, record key dates, calculate working-day intervals, compare average cycle times, and provide findings and recommendations. Interns must submit enrollment documentation, academic records, schedules, and a final Microsoft PowerPoint presentation summarizing their work and learning.

Principal Data Analyst responsible for investigating business challenges, managing ad hoc analytics requests, creating Tableau reports, delivering data-driven recommendations, and communicating findings to stakeholders and senior leadership. The role partners with IT and Data Engineering on data pipelines and data mart architecture, manages A/B testing projects, evaluates analytics technologies, and supports self-service reporting. Strong SQL, Tableau, data storytelling, presentation, and quantitative analysis skills are required.

Analyzes large datasets to identify trends, opportunities, and actionable insights supporting pricing, margins, sales, and customer profitability. Creates reports, dashboards, and visualizations; ensures data quality and integrity; translates business questions into recommendations; and collaborates with stakeholders on customer and product strategies. The role also supports process improvement, data initiatives, and mentoring junior analysts.

The Data Analyst delivers dashboards, reporting, advanced statistical analyses, forecasting, experimentation, and actionable recommendations for business leaders. The role analyzes cross-functional data, conducts root-cause investigations, supports KPI and performance optimization, and partners with Data Engineering and Reporting teams on automation, metric definitions, data pipelines, and documentation. It also promotes data literacy, ensures data privacy compliance, and communicates insights to technical and non-technical stakeholders.

Build trusted data models, define metrics, ensure data quality, conduct analyses, and create dashboards supporting Product, Finance, GTM, executives, and customers. Present actionable insights, connect GA4, Google Search Console, and AI Search data to business outcomes, and develop reusable reporting frameworks. The role requires strong SQL, AI-assisted analytics, customer communication, and comfort operating in a fast-growing startup.

Supports information collection and organization for manuals, training materials, installation guides, proposals, and reports. Edits technical and customer-facing documentation, assists with financial and administrative tasks, and maintains systems, operations, and procedural documentation libraries. Collaborates remotely with project managers, requirements analysts, Scrum Masters, developers, testers, and government stakeholders in Agile ceremonies while complying with CUI and cybersecurity requirements.

Build and maintain Engine X performance dashboards, reporting frameworks, data models, and complex SQL analyses using Snowflake. Track card, booking, rewards, spending, and retention metrics; investigate anomalies; support A/B tests; document metric definitions; and communicate findings to product, finance, and leadership. Collaborate with analytics and data engineering teams to validate pipelines and improve data quality.

Conducts research, collects and analyzes data, and develops methods for data acquisition, cleaning, validation, curation, and production readiness. Produces reports, tables, charts, and performance metrics to support MRO/MRO-S development, testing, and deployment. Supports system testing, issue resolution, stakeholder coordination, and process improvement within an Air Force depot maintenance environment.

Analyze customer experience and support data using SQL, Python or R, statistical modeling, predictive analytics, machine learning, NLP, and Generative AI. Develop segmentation models, KPI scorecards, and customer satisfaction insights; connect customer metrics to business outcomes and ROI; and communicate recommendations to stakeholders. The role requires 8+ years of analytics experience and supports Reality Labs customer-centric initiatives.

Analyze product and healthcare billing data to support product decisions, reporting, experimentation, and claims collection improvements. Build and maintain dashboards, develop scalable datasets, conduct A/B testing, create data visualizations, and communicate actionable insights. Collaborate with product stakeholders, data scientists, and engineers on data modeling, OKRs, data quality, and pipeline reliability for Billing and Payments features.

Analyzes, cleans, engineers, and visualizes data to establish metrics, identify insights, develop hypotheses, and recommend strategies. Creates customer-ready reports and presentations, defines ETL requirements, and partners with cross-functional teams to support strategic decisions and measurable business performance.

Supports healthcare survey data operations through data collection, validation, quality review, file preparation, issue resolution, and documentation. Reviews data for completeness, consistency, outliers, and accuracy; communicates with respondents to clarify information; supports reports, statistical tables, custom analyses, and cross-functional data needs. Requires strong Excel skills, attention to detail, communication, and the ability to work with survey data and databases. The role is hybrid with on-site work in Englewood, Colorado and regular conference travel.

Analyze telematics, IoT, sensor, and firmware data to evaluate hardware performance, reliability, and field issues. Build dashboards and reports, identify trends and anomalies, apply statistical and machine learning techniques, validate firmware improvements, and provide actionable insights to engineering, product, data science, and customer support teams. Help develop scalable data pipelines and promote data-driven hardware and software development.

Analyze program, communications, outreach, and operational data for federal clients. Build and validate SQL queries, Python workflows, API and AWS data processes, dashboards, reports, and recurring analytical products. Maintain data quality and documentation, support generative AI and LLM-based workflows, and communicate evidence-based findings and recommendations to government stakeholders. Collaborate with engineering, product, UX, and client teams while managing multiple analytical requests and deadlines.

Analyzes, validates, cleans, and maintains training and curriculum data across government and Navy training management systems. Performs data entry, quality control, auditing, statistical analysis, trend identification, anomaly detection, and report generation. Documents methodologies, protects data integrity, and collaborates with instructional designers, subject matter experts, and project teams. This is a temporary, on-call onsite role lasting approximately six months.

Reviews inspection data and reports for accuracy, validity, procedural compliance, and timely client delivery. Maintains project records, communicates with NDE technicians and clients, completes computerized reports, researches procedures, and supports quality control, training, safety, and special projects. Requires knowledge of pipeline integrity operations, coding, ultrasonic inspection, and magnetic particle inspection.

Analyze complex data, develop self-service data solutions, build business intelligence tools and dashboards, deliver strategic insights, and manage data quality, metadata, lineage, security, and access governance. The role requires scripting, querying, visualization, Snowflake development, and collaboration with business and technology teams.