Offer summary

Qualifications:

2-5 years of experience in a data-driven role such as Business Analyst or Data Engineer., Proficiency in Python for running and troubleshooting scripts., Familiarity with Databricks, SQL, and cloud-based data platforms., Strong problem-solving skills and ability to connect technical work with business impact..

Key responsabilities:

Execute and monitor Python notebooks and AI/ML workflows in Databricks.

Collaborate with business teams to translate data insights into operational actions.

Troubleshoot and optimize data workflows, queries, and automation scripts.

Coordinate between engineering, analytics, and business teams to ensure data projects align with business goals.

Job description

About Nimble Gravity

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 Do

Execute and monitor Python notebooks and AI/ML workflows in Databricks and other tools.
Work with pre-built AI/ML models and LLM API calls to ensure smooth operation.
Collaborate with business teams to translate data insights into operational actions.
Troubleshoot and optimize data workflows, queries, and automation scripts.
Manage and document data pipelines, processes, and analytics workflows.
Assist with data validation, reporting, and business intelligence tasks.
Coordinate between engineering, analytics, and business teams to ensure data projects align with business goals.
Support AI/data governance, ensuring processes are compliant and scalable.

What You Bring

2-5 years of experience in a data-driven role (Business Analyst, Data Analyst, Data Engineer, or similar).
Proficiency in Python for running and troubleshooting scripts.
Familiarity with Databricks, SQL, and cloud-based data platforms.
Experience in business operations, project management, or program management.
Understanding of AI/ML workflows (even if not building models from scratch).
Ability to connect technical work with business impact.
Strong problem-solving skills and a proactive approach to operational challenges.
English language proficiency C1/C2 required

Bonus Points For

Experience with LLM APIs and AI-driven workflows.
Familiarity with workflow automation tools (e.g., Airflow, dbt).
Experience working with stakeholders across both technical and non-technical teams.
Strong documentation skills for maintaining data workflows.

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.

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