Data Analytics Engineer

OEC; Portugal; Teletrabalho; EUR 40 000 - 60 000; Tempo integral

Resumo da oferta

A leading automotive technology firm is seeking an Analytics Engineer to develop and manage data infrastructure for analytics. This fully remote position requires strong database skills, proficiency in cloud data warehouses, and the ability to analyze data trends effectively. The ideal candidate will have over 5 years of experience in data management and excellent communication skills. Responsibilities include building data pipelines, supporting data visualization, and maintaining the integrity of company data across platforms.

Qualificações

• 5+ years of experience in high-volume data management.
• Proficient in database design and data mining.
• Familiar with ETL processes and cloud data warehouses.

Responsabilidades

• Develop and maintain data infrastructure for analytics.
• Build data extraction pipelines from various sources.
• Analyze data trends and patterns for business insights.
• Document and manage the central source of truth.

Conhecimentos

Mathematics

Statistics

Critical Thinking

Data Management

Database Design

Data Models

ETL Frameworks

Data Mining

Data Visualization

Revenue Analysis

Modeling

Ferramentas

DBT

AWS Glue

AWS Redshift

Snowflake

Google BigQuery

Excel

Descrição da oferta de emprego

Job Summary

OEC 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, OEM, collision, mechanical and supply chain space by connecting repair shops, dealers, parts distributors and manufacturers in one seamless, e-commerce platform. OEC makes finding and ordering the right parts simple, fast and accurate.

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.

Responsibilities

• Develop and maintain data infrastructure for analytics 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 throughout out-of-box & custom testing as well as QA and are used across the organization.
• Develop and document this central source of truth for OEC and assist in our internal digital transformation.

Qualifications

• You are well-versed in Mathematics and/or Statistics.
• You enjoy critical thinking, data-oriented, systematic approaches to solving problems.
• You have 5+ years of experience in high-volume data management.
• You are proficient with the following:
• DB Skills: Database Design, Data Models, ETL Frameworks, Data Mining and Segmentation.
• ETL: DBT, AWS Glue
• Cloud Data Warehouse: 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!

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

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Analyst and Information Technology

Industries: Software Development and Motor Vehicle Manufacturing