Top Data & Analytics Jobs

Builds and maintains Azure-based data infrastructure, including scalable ingestion pipelines, Databricks processing workflows, governance controls, data quality validation, and curated datasets for analytics and reporting. The role uses Python, PySpark, SQL, Azure Data Factory, Azure Functions, Logic Apps, and Azure Data Lake Storage Gen2, while partnering with IT, Finance, Operations, and Digital stakeholders. It is hybrid and requires several days in the Alexandria, Virginia office.

Own and evolve production data systems supporting healthcare, claims, billing, analytics, and reporting. Design resilient ingestion patterns, data contracts, models, schemas, and pipelines that handle incomplete, duplicated, delayed, and changing data. Improve performance, observability, failure handling, retries, backfills, and replay safety. Collaborate with engineering, product, operations, and analytics teams while making architecture decisions and documenting technical changes.

Designs and develops scalable enterprise data architectures, models, integration strategies, governance practices, and cloud data platforms. Builds optimized data pipelines for analytics, AI, and machine learning workloads, including preprocessing, feature engineering, real-time inference, and production model integration. Collaborates with architects, engineers, analysts, stakeholders, and distributed teams across client projects. The role is hybrid in Leawood, Kansas, with occasional client-site travel.

Leads business intelligence, market research, and competitive analysis for U.S. flat steel products. Analyzes demand, pricing, customer segments, competitors, trade policies, and industry trends to support sales, marketing, pricing, forecasting, and business planning. Develops dashboards, reports, market outlooks, and competitive intelligence databases, while presenting actionable recommendations to senior leadership and collaborating with commercial, production planning, and finance teams.

Own solution design, implementation, and debugging for Hightouch’s Identity Resolution product. Work directly with customer data architectures, configure identity models, write SQL against data warehouses, investigate data discrepancies, explain system behavior, and surface product gaps. Partner with sales engineering, support, technical account management, and executives to deliver customer solutions and advise on data strategy. Use coding agents while reviewing implementation quality and maintaining best practices.

Lead design and delivery of enterprise Power BI solutions and a Power BI Center of Excellence. Build scalable data models, integrate BI with centralized data platforms and ERP systems, govern BI assets, adopt DevOps and Agile practices, mentor teams, and drive analytics adoption to enable data-driven decisions across the organization.

Leads business intelligence, market analysis, and competitive intelligence for U.S. flat steel products. Develops dashboards, market forecasts, segmentation studies, pricing insights, and competitive databases. Partners with sales, marketing, finance, and production planning to support commercial strategy, customer targeting, business planning, and senior leadership decisions. Tracks steel industry trends, macroeconomic indicators, trade policies, tariffs, and competitor activity while presenting actionable recommendations.

Paid internship supporting market research, consumer insights, survey design, data analysis, and actionable recommendations for YMCA programs. The intern will use AI and tools including SurveyMonkey, Listen360, Google Sheets, and Excel to synthesize information and improve member experiences. The role offers exposure to executive leadership and nonprofit operations. Applicants must be enrolled in high school or university or seeking related experience, and must complete required application, background check, and internship documentation.

Collects, cleans, validates, and analyzes data from multiple sources. Builds reports, dashboards, and visualizations; writes SQL queries; documents data definitions; checks data quality; and presents findings to technical and non-technical stakeholders. Supports ad hoc data requests and helps client program leaders make informed decisions. The role is fully remote and requires strong communication, analytical, and independent-working skills.

Analyzes datasets to identify trends, anomalies, and business opportunities; builds dashboards and reports; supports financial planning, forecasting, and budgeting; evaluates performance against targets; partners with business teams to develop analytical solutions; and presents actionable insights to technical and non-technical stakeholders.