---
title: 'Analytics Engineer (m/f/d) at Statista'
canonical: 'https://feeny.ai/job/analytics-engineer-m-f-d-statista-hamburg-e8rvwt9mt17x'
type: 'job'
last_seen: '2026-10-15'
---

# Analytics Engineer (m/f/d) at Statista

- **Company:** Statista
- **Location:** Hamburg, Germany
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-08
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/statista/27f98734-2ba5-439a-a5c0-df5060013761/application

**Skills:** SQL, Data Modeling, Dimensional Modeling, Star Schemas, dbt, CI/CD, Snowflake, BigQuery, Redshift, AI-assisted development workflows, German language

> Design, build, and optimize scalable data models using modern data stack tools like dbt and Snowflake. Collaborate with cross-functional teams to define data requirements, implement data quality checks, and develop semantic layers to standardize business metrics.

## Job description

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?

## Your role

- Design, build, and optimize scalable data models using modern data stack tools (e.g., dbt, Snowflake)
- Transform raw data into clean, reliable, and well-documented datasets for analytics, reporting, and operational use
- Collaborate closely with data engineers, analysts, tracking teams, and business stakeholders to define data requirements and ensure alignment
- Implement and maintain data quality checks, testing, and monitoring to ensure accuracy and reliability
- Develop and manage semantic layers to standardize and govern key business metrics
- Improve data accessibility and usability across teams by promoting best practices and clear data structures
- Document data models, definitions, and workflows to enhance transparency and data literacy
- Contribute to data governance, harmonization, and automation initiatives, including enabling AI-driven analytics use cases

## Your profile

- 3+ years of experience in analytics engineering, data engineering, or a related role
- Strong SQL skills and solid experience in data modeling (e.g., dimensional modeling, star schemas)
- Hands-on experience with modern data stack tools and technologies (e.g., dbt, CI/CD) and openness to AI-assisted development workflows (e.g., Claude Code or similar)
- Experience working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift)
- Strong attention to detail with a quality-focused and structured working style
- Interest in data governance, standards, and scalable data architecture
- Analytical mindset with strong problem-solving skills
- Excellent communication skills in English (German is a plus), with both technical and business stakeholders, combined with a solid understanding of business requirements and contexts

## What we offer

In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:

- Work from abroad up to 30 calendar days a year
- Hybrid work and flex-time
- International team and social events
- Subsidized urban mobility and access to fitness and wellness options
- Free access to Langdock 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.

## About Statista

## Company Overview
- **One-liner**: Statista is a global data-as-a-service company that provides statistics, reports, and insights across 170 industries to empower fact‑based decision‑making.
- **Entity Type**: Private (bootstrapped; no public funding rounds disclosed)
- **Headquarters**: Hamburg, Germany
- **Founded**: 2007
- **Founders**: Not publicly available

## Core Business
- Primary industry: Data as a Service (DaaS), Market Research, Business Intelligence
- Target customers: B2B (enterprise, SMB), B2C (researchers, journalists, students), and public sector
- Mission: “Empowering people with data” and creating a more transparent, reliable, and trustworthy data economy.

## Products & Services
- **Statista Platform**: Web‑based access to a repository of over 1 million statistics, reports, and infographics on 80,000+ topics.
- **Statista Connect**: API‑first service for integrating Statista’s trusted data directly into existing tools and workflows.
- **Research AI**: AI‑powered research assistant that combines large language models with Statista’s data depth for efficient, fact‑based analysis.
- **Statista Healthcare**: Rankings and benchmarks for hospitals and medical specialists to drive quality and transformation in healthcare.
- **Statista SynthiePop**: Synthetic population data for Germany, built from human‑verified sources, enabling anonymous demographic analysis.
- **Statista R**: Rankings, awards, and ratings that recognize industry leaders and innovation.
- **Market Insights**: Market sizes, forecasts, and indicators for up to 152 countries and territories.
- **Consumer Insights**: Survey‑based data covering 1.7 million consumers across 56 countries, tracking behavior and brand perceptions.
- **Consulting Services**: Tailored solutions combining market research, data science, strategy, and marketing communications.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: ~1,200 employees worldwide; 7 offices on 3 continents
- **Notable Investors/Partners**: Not publicly listed (no disclosed external investors)
- **Growth Signals**: New office opened in Tokyo in 2021, London in 2022; continued geographic expansion; launch of AI‑powered products (Research AI, Statista SynthiePop); headcount stable at ~1,200 with active hiring across multiple departments.

## Competitive Advantages
- Vast, curated dataset (50,000+ sources, 80,000+ topics, 170 industries) that is both broad and deep.
- API‑first architecture (Statista Connect) enabling seamless integration into client workflows.
- Strong AI culture and internal tooling (Langdock, proprietary AI assistants) used to boost productivity.
- Trusted brand with high security standards (SSL encryption, Stripe payment processing, GDPR compliance).
- Multi‑modal offering: from raw data to rankings, insights, and consulting.

## Strategic Focus
- Deepening AI integration across all products (Research AI, AI‑assisted content creation).
- Expanding data‑as‑a‑service capabilities via API and embedded analytics.
- Growing healthcare vertical with hospital rankings and provider analytics.
- Developing synthetic data solutions to address privacy‑sensitive research.
- Maintaining a flat, fast‑moving organizational culture that encourages learning‑by‑doing.

## Why Work Here
- **Culture**: Flat hierarchies, open mindset, and a “learning‑by‑doing” approach. Diverse team of 50+ nationalities; English is the company language. Inclusion communities like Women@Statista and Pride Group.
- **Hybrid Policy**: 3 days in office, 2 days remote (depending on location); up to 30 days of remote work per year from within the EU.
- **Career Growth**: Annual performance reviews, internal mobility, in‑house trainings, and AI skill‑building programs.
- **Wellness**: Mental health support via OpenUp, sports partnerships at some offices, and public transportation subsidies.
- **Perks**: Modern central offices, employee discounts, no cover letter required, transparent 3–5 round interview process. AI tools are allowed to support applications but never used for final hiring decisions.

## Sources
1. [Statista Careers](https://www.statista.com/business/jobs)
2. [Working at Statista](https://statista.com/working-at-statista/)
3. [About Us: The Company Behind the Data](https://www.statista.com/business/about-us)
4. [Statista Jobs on Ashby](https://jobs.ashbyhq.com/statista)
5. [Statista LinkedIn](https://www.linkedin.com/company/statista)

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