Data Operations SME (Nashville, TN)

Nashville - B5 Philips Plaza, United States

Philips

Lue lisää Philipsistä ja katso miten terveydenhuollon-, kulutuselektroniikka- ja valaistus-divisiooniemme innovaatiot auttavat parantamaan ihmisten elämää.

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Job Title

Data Operations SME (Nashville, TN)

Job Description

As the Data Operations SME, you’ll support the People Systems and Integrations team by managing system integrations, vendor onboarding, and M&A activities. 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 bot creation, 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, develop BI dashboards, 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.

You're the right fit if:

  • You’ve acquired 3+ years’ experience working as a data analyst specializing in analyzing customer master data while leveraging business intelligence tools/platforms and systems.

  • Your skills include experience using Microsoft Office (Excel VBA Macros), Python, Tableau, PowerBI, and Qualtrics; Apache Spark, QlikView, and classification techniques like Random Forest, SVM, Boosting, and Bagging (required). Other skills using VSCode, JupyterLab, JupyterNotebook, R Programming, SAS, SQL, PostgreSQL, Git, GitHub, GitBash, PySpark, MongoDB, TensorFlow, F#, Flask, NLP, Scala, AWS Redshift, Adobe analytics, Google 360, Tableau, RSPSS, and clustering algorithms - are bonus skillsets.

  • You have a Bachelor's Degree (preferred) in computer science, information management, statistics, business or an equivalent degree, or Vocational education program.

  • You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position

  • You’re a clear communicator and problem-solver who works well with others and thrives in fast-paced environments, also skilled at gathering technical details, managing priorities, and working independently to meet deadlines. With strong experience in data pre-processing, EDA, and advanced analytics, you’re proficient in using and managing visualization tools. Your attention to detail helps you accurately collect, analyze, and interpret large datasets to deliver meaningful insights.

How we work together

We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.

This is an office role.

About Philips 

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.  

Philips Transparency Details

The pay range for this position in Nashville, TN is $63,000.00 to $100,000.00.

The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.    

In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives, may be offered.  Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more.  Details about our benefits can be found here

At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case. 

Additional Information

US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.

Company relocation benefits will not be provided for this position.  For this position, you must reside in or within commuting distance to Nashville, TN.

This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates.  Interested candidates are encouraged to apply as soon as possible to ensure consideration.

Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.

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Category: MLOps Jobs

Tags: AWS Business Intelligence Classification Clustering Computer Science DataOps Data quality EDA Excel Flask Git GitHub Jupyter Machine Learning MongoDB NLP PostgreSQL Power BI PySpark Python QlikView R Redshift SAS Scala Spark SQL Statistics Tableau TensorFlow

Perks/benefits: 401(k) matching Career development Equity / stock options Health care Relocation support Salary bonus

Region: North America
Country: United States

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