Full-Time Analytics Engineer

About the Role

Transform raw data into reliable, accessible, and actionable insights that empower business teams to make better decisions. This person will act as a bridge between data and the business, building and maintaining scalable analytics workflows while pushing forward strategic data initiatives and promoting data stewardship across the organization.

What you will do

• Gain full understanding of Addi’s data ecosystem within the first 90 days, including event structures, transactional systems, and data from third-party tools.
• Participate in code reviews (PRs) and contribute to decisions about data quality, consistency, and business impact.
• Deliver high-quality dashboards and reports to business stakeholders, ensuring alignment with decision-making needs.
• Ensure usage and data freshness for key reports across at least 2 business units within the first 6 months.
• Handle ad-hoc business requests and operational support, resolving issues through alerts, runbooks, and support channels.
• Participate in on-call rotations and document solutions to common data problems.
• Lead at least one cross-functional data initiative during the first six months that improves business visibility, operational efficiency, or data governance, demonstrating ownership and ability to push forward opportunities for improvement.

What we’re looking for

• Coding expertise
• Strong SQL skills for querying, transforming, and validating large datasets.
• Proficiency with basic Python, especially for scripting or automating data workflows.
• Familiarity with Git and collaborative version control workflows.

Technical Proficiency

• Experience designing and implementing data models (datamarts, etc.).
• Understanding of ETL/ELT tools and orchestration frameworks such as DBT, Airflow, Talend or others.
• Experience with data warehouses (Databricks, Snowflake, Redshift, GCP).
• Experience working with unstructured data.
• Proficiency with at least one data visualization tool such as Looker, Tableau, Power BI, or Preset.

Business Acumen & Communication

• Demonstrated ability to understand business needs and translate them into technical requirements.
• English is a must
• Ability to prioritize tasks and manage expectations in a fast-paced, dynamic environment.
• Skilled at communicating clearly with both technical and non-technical stakeholders, supporting decision-making with data insights.

Data Stewardship & Ownership

• Commitment to data quality, consistency, and documentation.
• Experience following and promoting best practices in testing, validation, and monitoring of data products.
• Ability to take ownership of initiatives, push for improvements, and work independently when needed.

Nice-to-Haves

• Exposure to cloud platforms (AWS, GCP, or Azure).
• Understanding of data governance and data quality frameworks.
• Familiarity with big data tools such as Spark.
• Basic understanding of statistics or ML.

What is the last date for applying to the job?

Which countries are accepted for this remote job?