Senior Analytics Engineer

Summary

Join Lokalise, a remote-first company, as a Senior Analytics Engineer and contribute to our data team. You will design, build, and maintain data pipelines, ensuring data quality and accessibility for business decisions and customer insights. Collaborate with various teams to optimize the data analytics lifecycle and improve data literacy. This role requires extensive experience in data warehousing, ETL/ELT tools, SQL, Python, and data visualization. We offer competitive benefits including a competitive salary, stock options, flexible working hours, unlimited vacation, and a comprehensive wellness program.

Requirements

• 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

Responsibilities

• 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)

Preferred Qualifications

• Experience in building customer-facing analytical products
• Experience in data orchestration tools (e.g. Airflow, Prefect, Astronomer)
• Experience with cloud platforms (e.g. AWS, Azure, GCP) and cloud data services (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery)
• Experience with data processing frameworks like Apache Kafka, Apache Iceberg and Debezium
• Experience integrating third-party tools through data movement platforms (e.g. Fivetran, Airbyte)

Benefits

• Competitive salary and employee stock options plan
• Fully remote and flexible working hours
• Co-working budget
• Unlimited vacation policy
• Top-notch tech equipment for your work
• Learning & Development program
• Health insurance
• Wellness benefits
• Mental health support - every employee has access to a dedicated mental health platform
• Great startup atmosphere, team spirit, and team events