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Senior Data Analyst

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Onsite

Senior Data Analyst

Qubika

Senior Data Analyst

Skills

SQL QueriesPythonDatabricksData AnalysisPySpark

20 days ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

4 October 2026

What they need


At Qubika, we design, develop, and deploy custom software solutions for organizations making an impact through technology.

We need a senior, business-facing data professional to partner with Finance, Clinical, and Operations. The immediate priority is helping stakeholders get reliable, clearly defined data they can understand and use.

This person should be comfortable leading conversations with executives, translating their needs into technical requirements, and working hands-on with data models and reporting.

Key responsibilities

  • Lead requirements discussions with Finance, Clinical, and Operations, clarifying the business questions behind reporting requests.
  • Recommend priorities across competing stakeholder needs, bringing clear trade-offs and recommendations to technology leadership.
  • Build and improve data models that support accurate, consistent reporting across teams.
  • Investigate data quality issues, reconcile conflicting metrics, and document definitions and limitations so users can trust the results.
  • Partner with data engineers to translate requirements into actionable work and carry it through to usable reporting.

What we expect from you:

  • Senior-level experience in data analytics or analytics engineering, with strong SQL and hands-on data modeling skills.
  • Excellent English communication and demonstrated experience working directly with business leaders, particularly Finance.
  • Ability to challenge unclear requirements, manage competing priorities, and work independently.
  • Experience with modern data platforms and BI tools, including the underlying business logic and metric definitions.
  • Databricks and Domo. Direct experience is valuable; strong experience with comparable platforms is worth considering.

Preferred experience / current environment

  • Python or PySpark familiarity.
  • Financial reporting, reconciliation, or GL-linked metrics.
  • Healthcare or clinical operations data.

What early success looks like

The person understands each stakeholder group’s highest-priority needs, establishes a clear order of work, and begins resolving data quality or metric-definition issues that undermine confidence in reporting.

What we offer:

  • Exciting and innovative projects for disruptive start-ups and world-class companies.
  • A creative working environment with a positive and collaborative atmosphere within an open-minded community.
  • A senior team that offers mentorship opportunities to help you excel in your career.
  • Various benefits include flexible work hours, ongoing skill development, language lessons, travel opportunities, engaging activities, expert talks, and more.

This job opening includes people registered in the National Registry for Persons with Disabilities (Registro Nacional de Personas con Discapacidad - Ley N° 19.691) who meet the conditions and suitability for the position. If you require any accommodations during the application process, please reach out to us at [email protected].

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