Analytics Engineer

Responsibilities

• Partner with cross functional teams to drive data informed decisions for growth and optimization.
• Create and maintain foundational assets such as a Data Dictionary and a Query Repository; collaborate with stakeholders to optimize these assets.
• Translate analysts' metrics and use cases into data asset development, coordinating with data scrum teams; optimize assets with a focus on runtime performance.
• Develop and maintain data models using dbt and SQL based transformations deployed to Snowflake; manage the lifecycle from intake to production deployment.
• Engage in version controlled development workflows with GitHub, including branching, pull requests, code reviews, and CI/CD for reliable deployments.
• Maintain data lineages documenting metrics, queries, and data sources; proactively improve documentation for easier updates and troubleshooting.
• Contribute to semantic layer documentation and metadata to enable AI analytics tools to interpret natural language queries against business data.
• Develop and sustain anomaly detection and alerting for data assets; refine detection methods and thresholds.
• Apply advanced analytics with analysts to identify root causes of data anomaly alerts.
• Administer analytics tool access with limited supervision.
• Support BI tool strategy projects by optimizing platforms to align with analytics needs.
• Maintain and optimize technologies that enable the analytics practice, including SharePoint, operational insights, and various automation efforts.
• Leverage AI and GenAI applications to augment tasks, improve workflow efficiency, and accelerate analytics deliverables.
• Learn and apply analytics technologies; collaborate with vendors to resolve issues.
• Support Analytics Leads on company initiatives; may lead project execution with an aligned plan.
• Guide other analysts on advanced techniques and validate their work.
• Define priorities with leadership and deliver against business goals, independently and with cross functional teams.
• Operate with limited oversight and proactively optimize existing solutions.
• Travel up to 5 percent for same day or overnight business trips.
• Perform other duties as assigned.

Requirements

• Authorized to work in the United States for any employer without sponsorship now or in the future; no OPT, CPT, STEM OPT or visa sponsorship.
• Live within a commutable distance to the Atlanta office.
• Bachelor's Degree and 6+ years of experience, or 18 years related experience.
• Strong SQL programming skills with solid knowledge of SQL based relational databases; experience with ETL processing of big data.
• 6+ years experience with SQL based relational databases (e.g., Athena, Redshift, Snowflake); Snowflake preferred.
• 6+ years experience with BI tools (Power BI, Domo, Tableau).
• Proficiency with Microsoft Office Suite, especially Excel.
• Web analytics knowledge (Google Analytics, Adobe Analytics) highly preferred.
• Experience with data transformation tools such as dbt, including model development, testing, and documentation preferred.
• Familiarity with version control systems (GitHub) and CI/CD workflows for data pipeline deployment.
• Experience with or willingness to learn Snowflake data platform capabilities, including Cortex AI features for semantic layer and natural language analytics.
• Experience with AI / GenAI applications to augment development work, including AI assisted tools (Claude Code, GitHub Copilot) for accelerating data engineering and analytics tasks.
• Ability to learn and use AI / GenAI capabilities as part of analytics operations, including large language models for code generation, documentation, data quality analysis, and automation.
• Experience in machine learning or automation related to anomaly detection, thresholds, or natural language generation is a plus.
• Tableau Server certification or AWS Data Analytics certification is a plus.
• Ability to work directly with vendors to resolve issues and drive technological advancements on long term projects.
• Demonstrated ability to build relationships and collaborate across teams; proactive stakeholder consultation for outcomes.
• Ability to anticipate stakeholder needs and provide proactive solutions that strengthen partnerships.
• Capability to develop scalable processes and standards that improve team efficiency and effectiveness.
• Excellent communication skills; ability to present findings clearly and concisely and translate analytics concepts into a compelling narrative.
• Creative problem solving with a data driven approach; ability to challenge assumptions and validate hypotheses.
• Ability to translate requests into actionable tasks with clear timelines.
• Strong organizational and prioritization skills in a deadline driven, evolving environment; flexible and agile.
• Proactive, self motivated with curiosity to continuously learn about the digital and automotive landscape.

Technologies

• dbt
• SQL
• Snowflake
• GitHub
• Power BI
• Domo
• Tableau
• Excel
• Google Analytics
• Adobe Analytics
• Snowflake Cortex Analyst
• Cortex AI
• SharePoint

Benefits

• Flexible vacation with pay
• Seven paid holidays per year
• Up to 160 hours of paid wellness annually
• Bereavement leave
• Time off to vote
• Jury duty leave
• Volunteer time off
• Military leave
• Parental leave

Compensation

• USD 101,500.00 - 169,100.00 per year
• Base salary within this range may vary by location and candidate qualifications; eligible for potential incentive programs.