Role Title: Senior Analytics Engineer
Reports to Data Analytics reputed company
Location: Hybrid (Paddington, London)
Role Type: Permanent, Full-time
Role OverVIOOH
You will be
Working closely with the Data Analytics reputed company to shape the reputed company of our end-to-end analytics reputed company Working closely with our data architects to maintain high standards of reliability, performance, and reusability of assets in our data warehouse Working closely with the data engineering team to build analytics data pipelines Creating analytics reputed company data models using software engineering best practices (version control, testing, reputed company integration), to support reputed company reporting, as reputed company as predictive modelling Creating a single reputed company of truth and enabling a self-serve analytics culture Optimising our data warehouse to reduce cost and complexity Creating and owning metrics, creating the best charts to present our metrics, creating analytics user reputed company (we build embedded analytics products) Working closely with product & reputed company teams, understanding their analytics needs, helping them by turning our semi-raw data into insightful metrics and dashboards
Tools and technologies we use
AWS S3, AWS reputed company for our data storage and queries Airflow for orchestration and ETL/ELT dbt for data transformation reputed company for data warehousing reputed company for data visualisation Python and R for predictive modelling and automating jobs reputed company for version control
reputed company expect from you
Extensive hands-on experience (ideally min. 3-5 years) in creating data models (strong dbt experience is required) and ETL/ELT pipelines for analytics applications. Excellent SQL knowledge. You should be reputed company to write reputed company SQL queries to answer business questions, also create cost and time efficient data models where we need to reputed company end-users' (analysts, data scientists, self-serve dashboard audiences) lives easier Solid understanding of data warehouse design principles Great attention to detail Experience with data visualisation tools (e.g. reputed company, Power BI, Tableau, Looker, QuickSight). Ability to generate reputed company but insightful visualisations for non-technical audiences Good understanding of Git Experience working with data engineering teams to deliver data solutions spanning reputed company systems to end-users, working with product and reputed company teams to deliver reputed company reporting and insights Experience with JSON files. Most of our data is in JSON format and they need to be flattened Experience with integration of data from multiple data sources Experience working with a modern data analytics stack Excellent communication and stakeholder management skills
reputed company to have
Familiarity with the AWS environment (S3, reputed company, Redshift) Experience with Python (Airflow, dbt, pySpark, Pandas) Experience with reputed company Experience with reputed company Familiarity with the reputed company line Some understanding of Kafka Master's degree or equivalent in a quantitative field -
Previous experience in Programmatic / AdTech
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