Top Data & Analytics Jobs

Build and maintain Tableau dashboards, reports, and analytical solutions; write production SQL and Python for data analysis and transformation; partner with stakeholders and data engineers to improve reporting, data quality, business performance, and insight delivery. Translate complex business questions into actionable analysis while supporting reporting standards, data definitions, and data-informed decision-making across functions.

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.

Leads marketing analytics and end-to-end measurement across growth marketing, including dashboards, pipeline attribution, ROI, CAC, LTV, forecasting, budget analysis, experimentation, and data quality. Partners with Marketing, Finance, RevOps, and BI teams to connect spend with pipeline and revenue. Uses AI, machine learning, predictive modeling, and automation to improve reporting, attribution accuracy, insight generation, and investment decisions.

Leads enterprise Power BI and Microsoft Fabric reporting delivery, including architecture, semantic modeling, governance, testing, deployment, support, and production readiness. Manages internal, vendor, and partner resources; establishes development standards and reusable frameworks; modernizes reporting through automation and scalable data models; monitors delivery performance and risks; and partners with business and technical stakeholders to ensure secure, governed, high-quality analytical products.

Supports and optimizes the Epicor ERP system, resolves user and data issues, configures workflows, and supports upgrades and integrations. Develops dashboards, reports, SQL queries, data extracts, and automated reporting solutions using BI tools. Ensures data integrity, defines KPIs, trains users, maintains documentation, and partners with departments across manufacturing, finance, supply chain, sales, and HR to improve processes and decision-making.

Designs supply chain data governance frameworks, monitors data quality metrics, investigates discrepancies, and supports data cleansing across SAP ERP and WMS platforms. The role validates data integrity during migrations and integrations, develops SQL queries and Python automation, builds Power BI or Tableau dashboards, and partners with logistics, procurement, IT, and Enterprise Data teams to improve data pipelines and operational processes.

Performs treasury finance operations, including loan sales, data analysis, reconciliation, and financial controls. Automates recurring workflows using SQL, Python, Excel, and AI tools; maintains and modernizes data pipelines; investigates discrepancies; and communicates insights to technical and business stakeholders. Serves as a subject matter expert on loan data and finance processes while supporting fraud prevention and financial governance.

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.

Lead marketplace and product analytics for Lyft’s Central Market Management organization. Develop analytical frameworks, business models, and recommendations that influence strategy, product roadmaps, and growth. Analyze trends, identify opportunities, communicate insights to senior leaders, and partner with Data Science, Product, Engineering, and other teams. The role requires strong SQL, data analysis, strategic problem-solving, storytelling, and cross-functional influence.

Build scalable data pipelines, dimensional data marts, and reusable data products for analytics, automation, and AI-powered workflows. Partner with Data Science, Product, Engineering, and Operations to support self-service analytics, data governance, quality, security, and analytics engineering standards. Develop agentic tools, promote dimensional modeling, and deliver well-tested, documented data solutions that support experimentation and the company’s banking initiatives.