Data Analyst - Remote Options with Mentorship & Growth

Energy Innovation Corp

Murfreesboro (TN)

On-site

USD 77,000 - 111,000

Full time

14 days+

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Job summary

Energy Innovation Corp in Murfreesboro, TN seeks a hands-on Data Analyst who can architect, code, and deploy while delivering quality. The role offers a salary range of $77,000 to $111,000, remote options, and opportunities for growth as you work with Airflow, dbt, and TensorFlow on real-world data problems.

You’ll collaborate with a tight-knit team to optimize pipelines, troubleshoot production issues, and translate business needs into technical tasks while staying aligned with regulatory

Qualifications

  • On-site experience in Murfreesboro, TN, or willingness to relocate.
  • Clear written communication.
  • Mid-level experience in a contract role.
  • 3+ years owning outcomes.
  • Generative AI fundamentals.
  • Hands-on technology experience.

Responsibilities

  • Identify bottlenecks and propose architectural improvements proactively.
  • Shave milliseconds off the technology hot path that users feel every click.
  • Apply Airflow and dbt to solve mentorship-focused engineering challenges.
  • Sit with technology users in Murfreesboro to learn what the dbt tool needs.
  • Troubleshoot and resolve production incidents across Matplotlib-based applications.
  • Harden the Stress Management auth for TN audit compliance.
  • Translate deadline-driven business requirements into technical specifications and tasks.
  • Respond to on-call rotations and participate in incident postmortems.

Skills

On-site Murfreesboro experience
Generative AI fundamentals
TensorFlow
Owns outcomes
Problem solving under pressure

Tools

Airflow
dbt
Matplotlib
TensorFlow

Job description

Energy Innovation Corp in Murfreesboro, TN seeks a hands-on Data Analyst who can architect, code, and deploy while delivering quality. The role offers a salary range of $77,000 to $111,000, remote options, and opportunities for growth as you work with Airflow, dbt, and TensorFlow on real-world data problems.

You’ll collaborate with a tight-knit team to optimize pipelines, troubleshoot production issues, and translate business needs into technical tasks while staying aligned with regulatory

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