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Datasets Jobs in Tennessee (NOW HIRING)

Analyze datasets tied to contractor spend , workforce signals, and operational performance * Surface trends, outliers, and opportunities, and package findings for leadership consumption Dashboards ...

Demonstrated ability to analyze complex datasets and translate findings into actionable business recommendations * Experience partnering with engineering, product, operations, and business ...

Demonstrated ability to analyze complex datasets and translate findings into actionable business recommendations * Experience partnering with engineering, product, operations, and business ...

Electronic medical records and claims-related datasets * Clinical notes and other unstructured text * Medical imaging data * Pathology data * Video and waveform data * Continuous patient monitoring ...

How You'll CREATE Analyze large datasets across music streaming platforms (e.g., Spotify, Apple Music, YouTube), social media, fan engagement, and marketing performance to identify meaningful trends ...

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Datasets information

What is the difference between Datasets vs Data Analysts?

AspectDatasetsData Analysts
Required credentialsNone specific; often familiarity with data formats and toolsBachelor's degree in data-related fields; skills in data analysis tools
Work environmentData repositories, databases, data warehousesOffice settings, data analysis software, reporting tools
Employer and industry usageUsed by data analysts, data scientists, and database managersUsed by business teams, data analysts, and decision-makers
Common search and comparison intentUnderstanding data sources and structuresInterpreting data, generating reports, making decisions

Datasets are collections of raw data used as sources for analysis, while Data Analysts interpret and analyze these datasets to generate insights and support decision-making. Datasets serve as the foundational data, whereas Data Analysts apply skills to extract value from them.

Data Scientist

Other

Posted 21 days ago


Job description

Overview

We’re partnering with a client to add a contract Data Scientist (12 months) to support stakeholders through dashboards, analytics, and data-driven insights. The focus is on building tech-facing reporting that leaders can use to make decisions—starting with initiatives like contractor spend visibilityemployee engagement survey analyticssoftware licensing insights, and network traffic trend/pattern analysis.

What You''ll Be Doing

Analytics, Modeling & Business Insight

  • Build analytical models that support stakeholder planning and tech-related initiatives
  • Analyze datasets tied to contractor spend, workforce signals, and operational performance
  • Surface trends, outliers, and opportunities, and package findings for leadership consumption

Dashboards & Reporting (Tableau)

  • Create and enhance interactive Tableau dashboards for stakeholders
  • Turn survey data into meaningful metrics and narratives, not just charts
  • Present results in a way that’s clear, structured, and actionable for senior audiences

Data Work (SQL) + Partnering with Data/Engineering

  • Develop and tune advanced SQL for large, complex datasets
  • Collaborate across teams to ensure reporting is built on consistent definitions and reliable data
  • Contribute to making analytics more scalable (repeatable pipelines, cleaner datasets, improved accessibility)

Advanced Analytics / ML (as needed)

  • Use statistical and machine learning approaches when they add value (forecasting, segmentation, predictive indicators)
  • Leverage Python to wrangle data, automate workflows, and support modeling efforts

Stakeholder Collaboration

  • Work closely with stakeholders, and partner with Finance and HR as needed
  • Translate business questions into metrics, analysis plans, and practical deliverables
  • Communicate confidently with both technical and non-technical stakeholders

What We’re Looking For (Must Haves)
  • 5+ years in data analytics / data science roles
  • Strong, hands-on SQL experience (comfortable with complex queries and performance considerations)
  • Proven experience building dashboards in Tableau (end-to-end ownership)
  • Background in data modeling and analytical problem solving
  • Ability to explain complex findings to non-technical audiences
  • Experience working with spend, workforce, or operational datasets (any combination)

Preferred / Nice to Have
  • Strong Python (pandas, NumPy, scikit-learn, etc.)
  • Applied experience with predictive modeling / machine learning in real projects
  • Experience operating in fast-moving, cross-functional environments
Equal Opportunity Employer/Veterans/Disabled