Analytics Engineer - Healthcare

At Statista
, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.

Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our 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?

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

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 our consulting projects, we support healthcare 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.

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.

• 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

• 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, Power
  
  BI, 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…