Data Operations SME (Nashville, TN)

Philips•Nashville, TN

3d•Hybrid

About The Position

As the Data Operations SME, you’ll support the People Systems and Integrations team by managing system integrations, vendor onboarding, and M&A activities. Leveraging your PowerBI administrative skills, you’ll enhance data accuracy, develop technical solutions, maintain PowerBI platforms, and identify improvements across tools like ServiceNow and Workday to drive smarter decision-making. In this role, you'll apply advanced data extraction and analytics to uncover insights from complex datasets, helping to inform business decisions. With a strong grasp of data and an economic mindset, you'll identify issues, highlight opportunities, and tell the story behind the numbers. The ideal candidate is tech-savvy, experienced in light coding, and skilled in leveraging AI for process improvements. Your role: Support data quality & governance by ensuring accuracy, integrity, and normalization of datasets by following data quality frameworks, collaborating with data owners, and conducting internal and external benchmarking to identify factors affecting data quality. Design and manage secure reporting environments, Power Apps, develop BI dashboards, maintain Power BI & Power Platform services and apply advanced statistical and machine learning techniques to generate actionable insights, perform root cause analysis, and support predictive analytics for proactive decision-making. Provide support & communication when integrating diverse datasets to support strategic decisions, ensure compliance with regulatory standards, and effectively communicate complex analytical findings to business teams in clear, non-technical language.

Requirements

3+ years’ experience working as a data analyst specializing in analyzing customer master data while leveraging business intelligence tools/platforms and systems.
Experience using PowerBI, Microsoft Office (Excel VBA Macros), Python, Tableau, and Qualtrics.
Experience with classification techniques like Random Forest, SVM, Boosting, and Bagging.
Bachelor's Degree (preferred) in computer science, information management, statistics, business or an equivalent degree, or Vocational education program.
Clear communicator and problem-solver who works well with others and thrives in fast-paced environments.
Skilled at gathering technical details, managing priorities, and working independently to meet deadlines.
Strong experience in data pre-processing, EDA, and advanced analytics.
Proficient in using and managing visualization tools.
Attention to detail helps you accurately collect, analyze, and interpret large datasets to deliver meaningful insights.
Must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.

Nice To Haves

Apache Spark, QlikView
VSCode, JupyterLab, JupyterNotebook, R Programming, SAS, SQL, PostgreSQL, Git, GitHub, GitBash, PySpark, MongoDB, TensorFlow, F#, Flask, NLP, Scala, AWS Redshift, Adobe analytics, and Google 360.

Responsibilities

Support data quality & governance by ensuring accuracy, integrity, and normalization of datasets by following data quality frameworks, collaborating with data owners, and conducting internal and external benchmarking to identify factors affecting data quality.
Design and manage secure reporting environments, Power Apps, develop BI dashboards, maintain Power BI & Power Platform services and apply advanced statistical and machine learning techniques to generate actionable insights, perform root cause analysis, and support predictive analytics for proactive decision-making.
Provide support & communication when integrating diverse datasets to support strategic decisions, ensure compliance with regulatory standards, and effectively communicate complex analytical findings to business teams in clear, non-technical language.