Analytics Engineer

Star Tribune Media Company - Minneapolis, MN

Full-time - Mid Level

Hybrid - Minneapolis, MN

Publishing Industries

About the position

The Minnesota Star Tribune is seeking an Analytics Engineer to join its Data & Analytics team. This role is crucial for enabling advanced analytics and data science initiatives, focusing on database design, data modeling, and establishing a single source of truth for business intelligence. The successful candidate will help develop core data capabilities to enhance subscriber acquisition, content engagement, and modern advertising strategies.

Responsibilities

• Developing, testing, implementing, and documenting data models.
• Optimize analysts and data scientist's use of data.
• Ensure uptime and data quality are aligned with business needs.
• Develop data dictionaries, governance, and other related documentation.
• Contributing to and following best practices for data consumption.
• Optimizing data processes and pipelines to improve efficiency.
• Identifying opportunities to reduce complexity and increase efficiency in data models.
• Troubleshooting and resolving data issues to ensure data quality and reliability.
• Ensuring high-quality data output that is tested, automated, scalable, and documented.

Requirements

• Extensive technical experience using Domo, Tableau, or Looker, with an emphasis on modeling and preparing data for analysis and data science.
• Extensive ETL methodologies and experience with modeling tools to design and implement data models.
• Experience using a modern data warehouse (e.g., Snowflake or BigQuery) for scalable and efficient data processing.
• Expertise in SQL and experience with database technologies (e.g., PostgreSQL, MySQL, Redshift).
• Record of extensive data documentation, QA/QC, and data governance design.
• Ability to work confidently with modern software engineering tools like the command line, version control, testing, and code reviews.
• Previous use of orchestration tools similar to Airflow, DBT Cloud, or Fivetran.
• Familiarity with AWS cloud platforms and data services.
• Comfortable reading and extracting data transformation processes using Python.
• Problem-solving skills with the ability to understand business problems and communicate technical solutions.
• Strong communication skills and ability to work effectively in a distributed team environment.

Benefits

• Commuting subsidy
• Medical, dental, and vision insurance
• Wellness program with financial incentives
• Generous paid time off
• Flexible holidays
• One volunteer day
• Two wellness days
• 401(k) with company match
• Paid parental and caregiving leave
• Hybrid work arrangements
• Tuition reimbursement
• Employee assistance program
• Pet insurance
• Flexible spending accounts
• Health savings accounts