Analytics Engineer

About Us

Overview

Responsibilities

• Design and implement data models that support flexible querying and data visualisation.
• Partner with Product stakeholders to understand business questions and build out advanced analytical solutions.
• Advance automation efforts that help the team spend less time manipulating & validating data and more time analysing.
• Build frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage.
• Participate in the creation and support of analytics development standards and best practices.
• Create systematic solutions for solving data anomalies: identifying, alerting, and root cause analysis.
• Work proactively with stakeholders to ready data solutions for new product and/or feature releases, with a keen eye for uncovering and troubleshooting any data quality issues or nuances.
• Identify and explore new opportunities through creative analytical and engineering methods.
  

Requirements

• Bachelor's degree in Engineering
• 4-8 years of relevant experience in business intelligence/data engineering
• Expertise in writing SQL (clean, fast code is a must) and in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases
• Experience in using dbt to build transformations.
• Experience in transforming flawed/changing data into consistent, trustworthy datasets, and in developing DAGs to batch-process millions of records
• Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialisation formats
• Advanced ability to build reports and dashboards with BI tools (such as Looker and Tableau)
• Experience with analytics tools such as Athena, Redshift/BigQuery, Splunk, etc.
• Proficiency with Git (or similar version control) and CI/CD best practices
• Experience in managing workflows using Agile practices
• Ability to write clear, concise documentation and to communicate generally with a high degree of precision
• Ability to solve ambiguous problems independently
• Ability to manage multiple projects and time constraints simultaneously
• Care for the quality of the input data and how the processed data is ultimately interpreted and used
• Experience with digital products, streaming services, or subscription products is preferred
• Strong written and verbal communication skills
  

Must Have

Good To Have