Senior Analytics Engineer, Lokalise

• 3+ years of experience in building analytics in a SaaS B2B environment in at least one (more is a plus) of the following business areas: Product, Marketing, Sales and Finance
• Strong proficiency in SQL and Python
• Experience with data warehousing (e.g. Snowflake) and ETL/ELT tools (e.g. dbt)
• Experience with data modeling techniques (e.g. snowflake schema)
• Experience with data visualization tools (e.g. Metabase, Looker or Lightdash)
• Experience working with a version control environment (e.g. git)
• Experience implementing and maintaining data quality alerting and monitoring

Desirable

• We are looking for a talented and experienced Senior Analytics Engineer to join our data team. This team is responsible for designing, building, and maintaining robust and scalable data pipelines to support critical business decisions and to expose actionable product insights to our customers
• Work closely with software developers, data analysts, product managers and business owners in optimising data analytics lifecycle impacting our colleagues and customers
• Work closely with data engineers in maintaining and optimizing our ingestion data pipelines
• Provide clean datasets to end users by designing, implementing, documenting and optimizing our semantic layer: from raw data into foundational business data tables
• Own the quality, consistency and readiness of reporting data tables to be exposed in our endpoints (e.g. Metabase and Lightdash)
• Improve our company’s data literacy by educating product managers and business owners on how to use our business intelligence tools
• Apply software engineering best practices to our data transformation code (e.g. version control, testing, continuous integration)