Analytics Engineer - Healthcare (m/f/d)

Join to apply for the Analytics Engineer - Healthcare (m/f/d) role at Statista .

At Statista , we’re all about facts and data; we are the world’s leading business data platform. By providing reliable, easy‑to‑use data and analytics products, we empower people worldwide to make evidence‑based decisions.

Founded in Hamburg in 2007, we have grown into a global company with offices in London, New York, Berlin, Tokyo and many other cities. Our constant growth creates new development and career opportunities for employees.

We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.

Are you ready to join us?

About Statista Healthcare

Statista Healthcare is a vertical business unit focused on making healthcare quality transparent, measurable, and comparable across countries, care settings, and specialties. We work with leading stakeholders worldwide to support data‑driven quality measurement and transformation by combining analytical expertise with scalable technology and communication.

Our offerings span international rankings, ratings, benchmarking studies, and customized consulting projects. Our global healthcare rankings and hospital ratings are published in collaboration with our trusted media partner Newsweek, enabling high visibility and credibility across markets.

We help healthcare organizations define relevant key performance indicators, validate and harmonize data structures, and translate insights into actionable strategies. At the heart of our approach is a data‑driven understanding of healthcare quality, grounded in robust methodologies, global comparability, and stakeholder trust.

In consulting projects, we support providers and systems in developing tailored KPI frameworks, standardizing and validating data processes, and deriving actionable insights that enable measurable improvements in patient care and system‑level performance. We combine structured methodologies with hands‑on delivery to unlock the full value of healthcare quality data.

Your Role

As an Analytics Engineer on our Healthcare Platform, you’ll turn diverse healthcare data into trusted, well‑modeled datasets and a clear semantic layer for analysis and products. You’ll design, implement, and maintain scalable data models and architectures, define metrics and documentation, and ensure data is reliable, governed, and easy to use. You’ll work closely with data engineers (ingestion/platform), data scientists, and the analyst team to deliver consistently defined, high‑quality data that powers the platform and its outputs.

Key Responsibilities

• Implement and evolve the data architecture in the warehouse (e.g., Snowflake), including enterprise‑ and domain‑level models that support rankings, ratings, benchmarking, and platform use cases.
• Design and maintain scalable, well‑documented data models that feed healthcare and business reporting, with clearly defined metrics/semantics and versioned documentation.
• Communicate complex technical concepts accessibly to align stakeholders (analysts, data scientists, Product Owner) and build consensus on definitions and quality standards.
• Collaborate with analytics, data platform (Data Engineering), and business/analyst teams to ensure seamless data flow, interoperability, and data contracts between ingestion and models.
• Lead structured documentation of data models (YAML/dbt docs or equivalent) and Confluence, maintaining transparency, lineage notes, and change history.

Skills and Qualifications

• Deep knowledge of data modeling approaches (e.g., star schema, data vault, medallion, data marts, 3NF) and the ability to translate business problems into maintainable technical designs.
• Hands‑on experience with dbt, Snowflake, AWS, PowerBI, SQL, and Python.
• Strong grasp of relational database concepts and performance tuning (keys/constraints, indexing, query plans, transactions & isolation) across modern cloud warehouses (e.g., Snowflake) and traditional RDBMS.
• Data quality, observability, and documentation for modeled layers (tests, data contracts, schema governance, lineage, dbt/YAML docs) to ensure trusted, auditable datasets and well‑defined metrics.
• Healthcare‑aware governance – as a plus: practical experience with PII/PHI handling, access control, and GDPR‑aware practices.

Your Profile

• Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field.
• 3+ years of experience designing and delivering complex data architectures and models; including a sustained period within one organization seeing a product through build → launch → iteration.
• Healthcare domain experience is a plus (e.g., understanding of KPIs, quality / benchmarking concepts, cross‑country harmonization).
• Strong analytical mindset and ability to transform complex data into actionable insights.
• Fluent in English, German a plus.
• Highly structured, curious, and motivated to work in an international and cross‑functional environment.

What We Offer

• Work from abroad 10 days a year (up to 30 if your family lives abroad).
• Hybrid work and flex‑time.
• International team and social events.
• Free access to Perplexity Enterprise and all its amazing functionalities.
• Career & training opportunities.
• Attractive locations and modern offices.
• Mental health support with OpenUp.

Some of the benefits listed here apply only to the German entity and to Junior‑level roles or above.