Analytics Engineer

Role Overview

We are looking for an Analytics Engineer to support mobile marketing analytics operations and the data systems that power marketing measurement, attribution, and reporting. This role combines production analytics operations with analytics engineering development, balancing the support of existing data systems with the design and implementation of new data solutions.

What You Will Do

Own the operation, reliability, and continuous improvement of marketing analytics data pipelines, data products, and related systems. Investigate and resolve data quality issues, pipeline failures, and reporting discrepancies through root-cause analysis and remediation.

Why It Might Be a Fit

A structured and methodical approach to problem solving, curiosity and ownership when investigating complex or ambiguous issues, strong technical foundations in data engineering and analytics engineering concepts, and ability to communicate technical findings, issues, and recommendations in a clear and structured manner.

Requirements

• 2+ years of experience in analytics engineering, data engineering, business intelligence engineering, or a related data-focused role.
• Experience supporting, monitoring, troubleshooting, and resolving issues in production data pipelines and workflow orchestration platforms (such as Airflow, Dagster, Prefect, Azure Data Factory, or similar).
• Strong SQL and Python skills for data analysis, transformation, automation, and troubleshooting.
• Experience using Git and GitHub in a collaborative development environment.
• Strong written and verbal communication skills, including the ability to create and maintain technical documentation.

Benefits

• Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance;
• 401(k) with Company match, tuition reimbursement, charitable donation matching;
• Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave;
• Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others;
• Relocation assistance

Tagged as: Data Analysis, Python, SQL