Middle Analytics Engineer (ThoughtSpot Focus)

At LeverX, we have had the privilege of delivering over 1,500 projects for various clients. With 20+ years in the market, our team of 2,200+ is strong, reliable, and always evolving: learning, growing, and striving for excellence.

We are looking for a Middle Analytics Engineer (ThoughtSpot Focus) to join us. Let’s see if we are a good fit for each other!

what we offer:

• Work with a modern lakehouse stack: Databricks, Delta Lake, dbt, orchestration tools, and cloud services
• A collaborative engineering culture with strong code review practices and knowledge sharing
• The opportunity to grow together with our Data Engineering practice and influence its development
• Participation in complex projects such as migrations, platform modernization, and large-scale data initiatives
• Flexible environment, autonomy in problem-solving, and support for professional development (certifications, courses, conferences)

required skills:

• 3+ years in Data Engineering or BI/Analytics.
• Hands-on experience with ThoughtSpot: understanding of how to build Worksheets, TML files, and logical data models.
• Strong SQL skills: ability to write and debug complex analytical queries.
• Security knowledge: Experience managing users, groups, and SSO integrations (SAML/OIDC) in any BI or Data tool.
• Good communication skills to explain data concepts to non-technical users.

nice-to-have skills:

• Experience with Modern Data Stack: Cloud Data Warehouse (Snowflake, Databricks, or BigQuery) + dbt
• Cloud vendors certificates

RESponsibilities:

• • • Experience building and maintaining ThoughtSpot Worksheets, Views, and the semantic layer (TML).

    • Strong understanding of data modeling (star schema) in Snowflake and/or Databricks.

    • Ability to optimize search experience (synonyms, keywords, drill paths).

    • Experience managing Access & Identity, including Auth Provider integrations and SSO.

    • Knowledge of data governance, including Row-Level Security (RLS) based on IdP groups and attributes.

    • Experience monitoring platform usage, query performance, and driving analytics adoption.