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Data Analyst Germany Jobs in Missouri (NOW HIRING)

... Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives ... Own the analytics data strategy end-to-end. Define how internal reporting, business intelligence ...

New

The Data Team, which covers the full data spectrum of Machine Learning, Analysis and Data ... France, Germany, Belgium, Italy, Spain and The U.K. We also offer an excellent relocation package ...

Enhance data accuracy and analytical efficiency for precision in business operations. 6. Special ... K., the Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia ...

You will join a global, cross-border team of talented engineers operating across India, Germany ... Analytics Background: Familiarity with time-series data, stream processing, and large-scale data ...

Demand Planner

California, MO · On-site

$107 - $144/hr

... Germany, the UK, and France. As part of our interview process, we request that candidates have ... And you'd be operating with sound judgment, strong analytical capability, and the ability to ...

Sales Associate - Grand Rapids

Rolla, MO · On-site +1

$13.75 - $18.75/hr

Heraeus is one of the top 10 family-owned companies in Germany and has a team of around 17,200 ... Support EAMs in conducting market research and competitor analysis. * Gather and organize feedback ...

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Showing results 1-20

Data Analyst Germany information

See Missouri salary details

$31.9K

$77.5K

$127.6K

How much do data analyst germany jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data analyst germany in Missouri is $77,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst Germany vs Data Scientist Germany?

AspectData Analyst GermanyData Scientist Germany
Required CredentialsBachelor's in Statistics, Mathematics, or related field; often certifications in data analysis toolsBachelor's or Master's in Computer Science, Statistics, or related; often advanced certifications in machine learning
Work EnvironmentBusiness intelligence teams, finance, marketing departmentsResearch labs, tech companies, large enterprises with AI focus
Employer & Industry UsageRetail, finance, healthcare, consulting firmsTech firms, e-commerce, AI startups, research institutions

While Data Analysts in Germany focus on interpreting data and creating reports, Data Scientists work on developing predictive models and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have a more technical background and handle more complex data tasks.

Infographic showing various Data Analyst Germany job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,517 per year, or $37.3 per hour.

Staff Data Engineer, Analytics

Whatnot Inc.

California, MO • On-site

$207 - $290/hr

Other

Medical, Dental, Vision, Retirement

Posted 2 days ago

New


Job description

Join the Future of Commerce with Whatnot!

Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.


As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.


We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.


Role

Data is crucial to Whatnot's mission to bring people together through commerce.


As our newest Data Engineer, you’ll build and scale the systems that power data-driven decisions across the company. You’ll own the strategy that empowers the Analytics team’s tooling which includes but is not limited to internal reporting, agentic tooling, and experimentation.


On any given day, you will:



  • Own the analytics data strategy end-to-end. Define how internal reporting, business intelligence, agentic tooling, and experimentation infrastructure are architected, then drive that strategy into production. You'll make the calls on data models, tooling investments, and delivery patterns that balance speed, accuracy, and long-term scalability.


  • Drive the AI strategy behind our internal tools. Identify where agentic and LLM-powered tooling can supercharge how the business understands itself, then lead the roadmap that turns those bets into reliable, adopted systems — from prompt and data standards to the infrastructure that makes them trustworthy at scale.


  • Define and own the domain data strategy. Establish the metrics that matter, the underlying data that powers them, and the standards for how they're modeled, named, and used across the org. Set the contracts and ownership boundaries that keep every team building on the same source of truth.


  • Guarantee consistency, accuracy, and speed in reporting and intelligence. Build the monitoring, testing, and reconciliation systems that make every dashboard and dataset trustworthy — so decision-makers never have to wonder if the number in front of them is right or current.


  • Translate raw data into business understanding. Partner cross-functionally with analytics, product, engineering, and business stakeholders to turn complex data into clear, actionable insight — shaping not just what data exists, but how the business actually uses it to make decisions.


  • Set the technical bar for the data organization. Establish best practices for modeling, tooling, and data quality that other engineers and analysts build on, and mentor the broader org toward higher craft as an IC lead — without a management chain, but with organization-wide influence.



You

People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.



  • Have a minimum of 7+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.


  • Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.


  • Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).


  • Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.


  • Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.


  • Enjoy partnering across disciplines engineering, product, analytics to translate messy business requirements into elegant data systems.


  • Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.



If designing the data backbone that powers Whatnot's growth, insights, and product innovation excites you, we'd love to meet you.


Compensation

For Full-Time (Salary)


US based applicants: $207,000/year to $290,000/year + benefits + equity.


The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.


Benefits

  • Generous Holiday and Time off Policy


  • Health Insurance options including Medical, Dental, Vision


  • Work From Home Support



    • Home office setup allowance


    • Monthly allowance for cell phone and internet




  • Care benefits



    • Monthly allowance for wellness


    • Annual allowance towards Childcare


    • Lifetime benefit for family planning, such as adoption or fertility expenses




  • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally


  • Monthly allowance to dogfood the app



    • All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).




  • Parental Leave



    • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.





EOE

Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

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