Demand Generation Data Analyst

Philips•Nashville, TN

23h•Hybrid

About The Position

We’re seeking a marketing analytics professional who partners cross‑functionally to deliver advanced, AI‑driven insights across campaigns and the funnel. You’ll build real‑time dashboards, translate data into clear recommendations for leaders, and ensure high standards of data quality, governance, and automation. Your role: Support analytics and reporting solutions from initial intake through deployment, including building Power BI reports, dashboards, and apps using certified enterprise semantic models. Develop thin datasets connected to trusted data sources, deliver short‑turnaround reporting with high accuracy, independently manage lower‑complexity requests, and support minor enhancements while escalating more complex design or architectural decisions as needed. Perform data validation and analysis using SQL to ensure accuracy, consistency, and reliability of reporting outputs. Ensure all reports adhere to established data governance, security, and visualization standards, while supporting data integrations and reporting workflows under guidance to maintain consistency across the analytics ecosystem. Support new DevOps tickets with guidance, participate in backlog refinement and task tracking, and execute functional and regression testing to ensure solution quality. Assist with User Acceptance Testing (UAT) coordination, support issue resolution, and maintain clear documentation for deployed reports, datasets, and related processes. Collaborate closely with business stakeholders to clarify reporting needs, provide progress updates, and support demo preparation. Gather post‑launch feedback to drive continuous improvement, while steadily building business domain knowledge and strengthening technical skills under supervision.

Requirements

4+ years of experience in information management, information systems, computer science, and data analytics with no degree.
Strong SQL skills for data validation, analysis, and troubleshooting.
Hands-on experience with building dashboards in Microsoft Power BI, reporting, and data models.
Experience working with analytics solutions and data-driven applications.
Ability to translate business requirements into functional deliverables.
Strong attention to detail and accuracy.
Excellent written and verbal communication skills.
At least a bachelor's degree or 4+ years of relevant experience.

Nice To Haves

Familiarity with delivery and backlog management tools such as Azure DevOps, or similar preferred.
Familiarity with the Microsoft Power Platform (Power Apps, Power Automate).
Certification in LEAN Basic, Data Analytics, Project Management preferred.

Responsibilities

Support analytics and reporting solutions from initial intake through deployment, including building Power BI reports, dashboards, and apps using certified enterprise semantic models.
Develop thin datasets connected to trusted data sources, deliver short‑turnaround reporting with high accuracy, independently manage lower‑complexity requests, and support minor enhancements while escalating more complex design or architectural decisions as needed.
Perform data validation and analysis using SQL to ensure accuracy, consistency, and reliability of reporting outputs.
Ensure all reports adhere to established data governance, security, and visualization standards, while supporting data integrations and reporting workflows under guidance to maintain consistency across the analytics ecosystem.
Support new DevOps tickets with guidance, participate in backlog refinement and task tracking, and execute functional and regression testing to ensure solution quality.
Assist with User Acceptance Testing (UAT) coordination, support issue resolution, and maintain clear documentation for deployed reports, datasets, and related processes.
Collaborate closely with business stakeholders to clarify reporting needs, provide progress updates, and support demo preparation.
Gather post‑launch feedback to drive continuous improvement, while steadily building business domain knowledge and strengthening technical skills under supervision.