PartsTech creates automotive e-commerce technology, helping repair shops, auto part distributors, and manufacturers run their businesses more effectively and profitably through e-commerce and data innovation. We increase efficiency for the automotive aftermarket by connecting repair shops, parts distributors, and manufacturers in one seamless, e-commerce platform. PartsTech makes finding and ordering the right parts simple, fast, and accurate.

As PartsTech’s newest Lead Analytics Engineer, you will help us build and maintain infrastructure for data and business analytics, financial data visualization, and exploratory data analysis. You will also be responsible for managing data systems and ensuring information accuracy to support business operations and requirements. This position will work with our backend engineers to maintain 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 PartsTech.
  • Use automated tools to extract data from primary and secondary sources.
  • Manage data engineering on the team to support analytics and machine learning projects.
  • Build and support data visualization for Business and Product needs.
  • Work with business and tech Product Managers to define API reporting and prepare reports to assist with tracking and achieving their goals.
  • Analyze parts and application data for trends, patterns, and errors.
  • Work with Engineers to identify potential data issues and help fix them.
  • Define key reporting needed for the Business.
  • Plan & build analytics infrastructure.

Who You Are:

  • You are well-versed in Mathematics and/or Statistics.
  • You enjoy critical thinking, data-oriented, systematic approaches to solving problems.
  • You are fluent in English, both written and verbal.
  • You have 6+ years of experience in data engineering and analysis.
  • You are proficient with the following: 
    • Programming languages: SQL, Python
    • DB Skills: Database Design and Administration, Data Models, ETL Frameworks, Data Mining, and Segmentation.
    • Other Skills: Data Visualization, Revenue Analysis, and Modeling.
    • Visualization: Sigma, Tableau, Looker
    • ETL: DBT, Fivetran
    • Cloud Data Warehouse: Snowflake
  • You are familiar with Excel and Google Sheets.
  • Able to keep track of multiple projects concurrently.
  • Ability to work independently in an environment that expects great things every day.
  • You pride yourself in being tech-savvy. You learn new processes and software tools quickly. If there is a problem in the data you feel like you can’t rest until you figure it out.
  • You work well in a remote environment. You collaborate well with colleagues from different cultures, countries, and backgrounds.
  • You’re very detail-oriented and organized. You believe in neatness and you take pride in a job well done!

Compensation: €70,000.00 - €80,000.00 Annual Base Compensation

Benefits: 

  • Paid Vacation 
  • Paid Holidays
  • Maternity & Paternity Leave
  • Medical Insurance
  • Dental Insurance
  • Work from Home Allowance
  • Meal Allowance

Nearest Office: 

  • Our Lisbon office is located at Regus Lisboa, Parque das Nações. 
  • The address is: Avenida D. João II, R. do Mar Vermelho 50, 1990-095 Lisboa, Portugal.
  • The office is a five-minute walk from Estação do Oriente, a major subway, rail, and bus hub for the region.

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, PartsTech’s team helped countless businesses save valuable time so they can focus on their customers — and we’re just getting started.

The PartsTech team is a globally distributed group of passionate self-starters based in Cambridge, MA, Hartford, CT, Eastern Europe, and beyond. We are remote-first, privately held and venture-backed. 

PartsTech is proud to be an equal-opportunity employer, and values diversity at every level of our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe you should bring your whole self to work, so come as you are.

Please note that we are unable to hire candidates located in New York state at this time.

The job description provided is a general outline of responsibilities and qualifications for this role at PartsTech. Actual responsibilities and qualifications may vary depending on the specific needs of the company and department.

 

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