United Kingdom - London
Posted: 25/07/2024
Salary: £0.00to £500.00 per Day
ID: 34443_BH
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ORAnalytics Engineer | 6-month contract initially | Hybrid role based in London
Our client is on a quest to modernize their data stack and expand their analytics engineering function. They are on the hunt for experienced Analytics Engineers enthusiastic about designing innovative solutions that balance bespoke in-house solutions with external tools, driving data governance, quality, and availability.
Responsibilities:You will bedeveloping robust data models within your domain, observing best practices and frameworks to improve data discoverability, accessibility, manipulation, and reporting. Serving as a data steward and owner of a decentralized data network, ensuring top-tier governance and maintaining comprehensive documentation across your domain's lineage. Partnering closely with the data engineering and ETL teams to translate technical requirements into non-technical outcomes and vice versa. Ensure consistent reporting by aligning stakeholders on definitions of metrics and dimensions within your domain. Drive the success of their self-service program by educating non-technical stakeholders on the usage of our tools. Design creative solutions and suggest new tools and methods to reduce friction in the data flow process, reflecting the needs of your domain.Skills & Experience:Looking for someone who is proficient at explaining complicated processes, requirements, and data pipelines to both technical and non-technical stakeholders, and then presenting this to various levels of stakeholder's seniority. Demonstrated experience in designing processes, frameworks, and best practices for junior teams to drive standardization and uniformity in data manipulation, documentation, and orchestration. Vast experience with multiple data visualization and transformation tools, including preference for DBT, Airflow, Fivetran, and Tableau/PowerBI/Looker. Certified or expert in dbt and its standards. Experience with QAing data pipelines using tools like Monte Carlo or similar. Proficient in documentation using Jira, Confluence, or similar platforms. Expert in SQL and Python, with the ability to upskill teams on best practices. Skilled in manipulating large datasets, combining data from multiple sources to achieve desired results. Working knowledge of design thinking and agile methodologies.
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Analytics Engineer
