Top Data & Analytics Jobs

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.

Administer Microsoft Dynamics 365 CRM, develop Power BI dashboards and data models, integrate data across business systems, and establish data governance practices. Partner with cross-functional teams to define metrics, deliver actionable insights, automate workflows, improve business processes, maintain data quality, and support technology initiatives and system enhancements.

Own the end-to-end architecture of Opiniion’s data platform, including ingestion, transformation, storage, modeling, governance, semantic layers, and BI/AI enablement. Partner with software architecture leadership on a new platform, guide migration decisions, establish data quality and lineage practices, design statistical models, and mentor data engineers. The role requires hands-on expertise with Databricks, modern data modeling, ETL/ELT orchestration, distributed processing, cloud infrastructure, and AI/ML data readiness.

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.

Build analytical frameworks, measurement methodologies, and decision support to drive enterprise decisions across marketing, loyalty, pricing, menu, media, and operations. Mine and integrate customer, transaction, digital, and operational data; develop segmentation, predictive models, and dashboards; lead test-and-learn, incrementality, and forecasting efforts; translate analysis into clear business recommendations and scalable decisioning tools.

Supports strategic pricing initiatives through competitive pricing analysis, market research, pricing data collection and analysis, database and dashboard maintenance, pricing recommendations, price-testing analysis, management reporting, and process improvement. The intern collaborates cross-functionally and helps improve pricing tools, data accuracy, sales performance, profitability, and revenue optimization.

Design and maintain enterprise business intelligence platforms, including dimensional models, semantic layers, data warehouses, Power BI solutions, and Microsoft Fabric integrations. Optimize SQL, DAX, refresh processes, and semantic model performance. Establish BI governance, security, deployment pipelines, source control, testing, monitoring, and documentation. Lead complex initiatives, evaluate emerging technologies, and translate business needs into scalable solutions while communicating technical recommendations and risks to diverse stakeholders.

Serves as the bridge between procurement stakeholders and technical data teams, governing procurement data across ERP, master data, data lake, BI, and reporting platforms. Responsibilities include defining data standards, maintaining metadata and mappings, validating transformations, monitoring data quality, resolving data issues, supporting testing, and enabling analytics. The role also translates business requirements into technical specifications and contributes to procurement transformation and continuous improvement.