Data Operations Analyst

Posted 24 Days Ago
12 Locations
Remote
Mid level
Information Technology • Consulting
The Role
The Data Operations Analyst will manage data workflows, execute Python scripts, collaborate with stakeholders, and ensure smooth AI and analytics processes.
Summary Generated by Built In

Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization.

We’re looking for a Data Operations Analyst to bridge the gap between business operations and technical data workflows. You’ll work hands-on with Python scripts, Databricks notebooks, and LLM API calls, ensuring seamless execution of pre-built analytics and AI tools. Beyond technical tasks, you'll collaborate with business stakeholders, drive operational efficiency, and help translate data insights into actionable strategies.

If you’re someone who enjoys solving business problems with data, working with pre-existing ML models and workflows, and keeping AI processes running smoothly, then you belong with us!

What You’ll Own

  • Ensure the execution and reliability of data pipelines, notebooks, and ML workflows within Databricks and similar tools.

  • Operate and maintain production-grade AI tools and LLM API calls—ensuring availability, performance, and business continuity.

  • Translate complex technical workflows into business impact, partnering with ops, analytics, and leadership teams.

  • Identify and resolve data bottlenecks; optimize Python scripts and SQL queries for performance and scalability.

  • Maintain clear documentation of processes and data products to support transparency and reusability.

  • Validate, monitor, and report on the performance of AI models and analytics outputs.

  • Partner with engineering and analytics teams to improve automation and elevate internal tooling.

  • Contribute to AI/data governance and compliance frameworks for scalable growth.

What You Bring

  • 3–5+ years of experience in data ops, analytics, engineering, or related technical/ops roles.

  • Strong hands-on proficiency in Python, with the ability to read, run, and troubleshoot code.

  • Experience in production environments working with Databricks, SQL, and cloud-based data platforms.

  • Exposure to AI/ML tooling, including working with pre-trained models and external APIs.

  • A proactive mindset with a demonstrated ability to connect data solutions to business priorities.

  • Strong communication and collaboration skills — you can speak “tech” and “business” fluently.

  • English proficiency at the C1 level.

Bonus Points If You Have

  • Experience integrating or managing LLM APIs (OpenAI, Anthropic, etc.) in operational workflows.

  • Familiarity with modern orchestration tools (e.g., Airflow, dbt, Dagster).

  • A background in program or project management within data-centric environments.

  • Passion for documentation, reproducibility, and process improvement.

Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.


Top Skills

Databricks
Llm Apis
Python
SQL
Workflow Automation Tools
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The Company
HQ: Denver, Colorado
76 Employees
On-site Workplace
Year Founded: 2019

What We Do

Nimble Gravity is an international team of outdoor enthusiasts, adrenaline seekers, and growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization. We leverage business acumen, data acquisition and engineering and AI/ML tools to generate impactful insights. We’ve built eCommerce operations that range from start-up to over $2B per year. We have the expertise and experience to make your web presence and eCommerce operations faster, bigger, and more profitable

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