Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing
and more. Here you’ll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth.
Apply for one position or as many as you like. Talent doesn’t always just go in one direction or fit in a single box. We’re happy to see whatever your superpower is and find the best place for it to flourish.
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Job Description:
What are we building?
Datasite supports high‑value transactions across more than 170 countries. As a Senior Analytics Engineer, Tech Lead, you will design high‑quality data models, pipelines, and architecture that will feed into datasets that can be used in LLM models, BI analytics, Business KPIs, and other data related products. This role centers on data modeling and creating data structures using Snowflake, DBT, Airflow, and Hackolade.
Main Responsibilities
- Design and maintain scalable, accurate data models that will be used in internal BI analytics, AI Agents, high value data products, and Data Science research.
- Develop and optimize data pipelines that support creation of production quality data sets.
- Ensure data quality, governance, and documentation by implementing validation processes and maintaining clear domain expertise.
- Develop and maintain an enterprise semantic layer that ensures consistency in metrics, relationships, and metadata across all data products.
- Collaborate cross‑functionally to define analytical needs, align metric definitions, and support data‑driven prioritization and planning.
- Mentor and support junior analytics contributors, helping elevate modeling standards, BI best practices, and analytical methodology.
Required Qualifications
- Expert SQL skills and ability to work with large, complex datasets.
- Comfortable with Python.
- Familiarity with Airflow or similar orchestration tools.
- Strong experience using DBT for transformation modeling.
- Knowledge of common data modeling practices and ability to leverage modeling tools like Hackolade.
- Proven ability to translate business questions into structured analytical solutions.
- 5+ years of experience in analytics engineering, data analysis, or related fields.
- Familiarity with Airflow or similar orchestration tools.
Nice to Have
- Familiarity with API‑based or event‑driven data flows (not required).
- Background in product analytics or experimentation.
- Exposure to distributed data systems or cloud‑native analytics architectures.
- Prior mentorship or peer‑development experience.
- Proficiency with Sigma BI or comparable BI tools.
- Excellent communication and data storytelling skills.
Work Location & Flexibility
This position is based in our Minneapolis office and follows a hybrid work model. Employees in these locations work on-site a minimum of two days per week.
The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.
$99,000.00 - $172,700.00
Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.
