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Analytics Engineer

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Onsite

Analytics Engineer

OEConnection

Analytics Engineer

Skills

SQL QueriesLookerTableauData MiningPythonData VisualizationTesting & QARSnowflakeGoogle BigQueryAmazon RedshiftData AnalysisAWSdbtCeridian DayforceDigital TransformationPower BI

4 days ago

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Important information


Contract type:

Permanent

Location:

Germany

Work mode:

Onsite

Published on:

15 October 2026

What they need


Since the year 2000, OEC has grown globally to more than 1,000 employees with a double-digit revenue increase nearly every year. We provide a lively culture, employee rewards and recognition, and the opportunity to develop and implement innovative technology solutions.

Job Summary

The Analytics Engineer will help us build and maintain infrastructure for data and business analytics, financial data visualization, and exploratory data analysis. Responsible for managing data systems and ensuring information accuracy to support business operations and requirements. This position will work with OEC engineers to maintain all the database's safety and security to prevent unauthorized access and potential leaks of confidential data.

What You’ll Accomplish:

  • Develop and maintain data infrastructure for analytics here at OEC.
  • Build pipelines to extract data from primary and secondary sources.
  • Build and support data visualization for Business and Product needs.
  • Work with business and tech Product Managers to define reporting and prepare reports to assist with tracking and achieving their goals.
  • Analyze parts and application data for trends, patterns, errors.
  • Work with Engineers and Software Developers to identify potential data issues and help fix them.
  • Build and maintain our data architecture by staging, transforming and finalizing datasets that meet our high standards of quality through out of box & custom testing as well as QA and arere used across the organization.
  • Develop and document this central source of truth for OEC and assist in our internal digital transformation.

Who You Are

  • You are well-versed in Mathematics and/or Statistics.
  • You enjoy critical thinking, data-oriented, systematic approaches to solving problems.
  • You have 4+ years of experience in high-volume data management.
  • You are proficient with most of the following: SQL, R, Python, Database Design, Data Models, ETL Frameworks, Data Mining and Segmentation, Sigma/Tableau/Looker/Power BI, DBT, AWS Glue, AWS Redshift, Snowflake, Google BigQuery
  • You are familiar with Excel.
  • Other Skills: Data Visualization, Revenue Analysis and Modeling.
  • You are articulate. Your communication skills are top-notch, both in writing and verbal.
  • Able to keep track of multiple projects concurrently.
  • Ability to work independently in an environment that expects great things every day.
  • You pride yourself on being tech-savvy. You learn new processes and software tools quickly.
  • You’re very detail-oriented and organized. You believe in neatness, and you take pride in a job that is well done!

Why You Should Join Us

Our vision is to make it fast and easy for auto repair shops to find the right parts across all of their suppliers with one search. Together, OEC’s team helped countless businesses save valuable time so they can focus on their customers — and we’re just getting started.

The position is fully remote, with the requirement to attend quarterly in-person meetings.

We have updated our Privacy Policy to comply with the new European Union data protection law. Please note that OEC is a US-based company, as such, your personal information supplied during the job application process by using this website may be sent to the US. If you do not agree to the transfer of your data to the United States of America, applying for employment by using this website is not possible. Please send your application documents by post under the address: OEC sp. z o.o., or to the email address [email protected]. If you agree to the transfer, please select the Apply button. By applying for this role with one of the companies in the OEC Group, you are consenting to the processing and retention of your personal data in accordance with the company’s data protection policies. Please refer to our Candidate Privacy Policy for more information.

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