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Project title: Associate Analytics - Data Engineering
Posted by: External project from PeoplePerHour
Started: 23-May-2025 18:10 GMT
Description: We are looking for someone who is experienced and familiar with the following tools:

Strong programming skills in SQL, Python, R, or other programming languages

Experience with SQL and NoSQL databases

Knowledge of ETL tools such as Google BigQuery, Funnel.io, and Tableau Prep

Business Intelligence (Tableau, Looker, Google Looker Studio, Power BI, Datorama, etc.)

Analytics platforms UIs / APIs (Google Analytics, Adobe, etc.)

Media reporting UIs / APIs (DV360, SA360, Meta, etc.)

Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus

What we’re looking for

A Bachelor’s or Master’s degree in computer science, operations research, statistics, applied mathematics, management information systems, or a related quantitative field or equivalent work experience such as, economics, engineering and physics

3+ years of experience with any combination of analytics, marketing analytics, and analytic techniques for marketing, customer, and business applications

Hands-on experience using SQL, Google BigQuery, Python, R, and Google Cloud (GCP) related products

Hands-on experience working with common ETL tools

Hands-on experience using Tableau, Datorama, and other common visualisation tools

Expertise across programmatic display, video, native, and ad serving technology, as well as digital advertising reporting, measurement, and attribution tools

Adept to agile methodologies and well-versed in applying DataOps methods to the construction of pipelines and delivery

Demonstrated ability to effectively operate both independently and in a team environment

Responsibilities

Design, develop and maintain complex data pipelines and systems to process large volumes of data

Collaborate with cross-functional teams to gather requirements, identify data sources, and ensure data quality

Architect data solutions that are scalable, reliable, and secure, and meet business requirements

Develop and maintain data models, ETL processes, and data integration strategies

Design and implement data governance policies and procedures to ensure data accuracy, consistency, and security

Create visualisations and reports to communicate insights to stakeholders across multiple data streams

Collaborate as part of a team to drive analyses and insights that lead to more informed decisions and improved business performance

Work with other teams to ensure teamwork and timely delivery of client projects
Project ID: 3433954
Project category:
Project budget:
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