Audience & Growth Analytics Director

About the role

The Audience & Growth Analytics Director at our headquarters in Minneapolis, MN will be responsible for newsroom audience insights and a key partner to the newsroom, helping editors, audience, and newsroom leaders translate data into actionable insights that inform coverage, distribution, and audience strategy. They will help translate macro industry trends and work across the Growth & Marketing team, tying traffic and subscription funnel performance together. A successful candidate will bring strong technical expertise, curiosity, and excellent communication skills, along with a passion for uncovering meaningful trends in complex data.

This person will play a consultative role across the newsroom, helping stakeholders ask the right questions, interpret performance and audience behavior, and turn insights into action—while also championing analytics best practices throughout the organization. The role will focus on building and executing analysis capabilities using our data warehouse (Snowflake) and BI platform (Domo), while developing reporting and insight frameworks that help guide newsroom strategy and decisions.

Responsibilities

• Create dashboards and provide insights on audience behavior, content performance, reader needs, and funnel performance.
• Perform data analysis to guide newsroom strategy by providing insights and framing key industry questions for the newsroom and business teams.
• Provide actionable recommendations on opportunities to improve reach, engagement, subscription performance, and loyalty.
• Translate complex data into clear, compelling stories for stakeholders to drive alignment and action.
• Proactively monitor key business metrics and trends; provide appropriate awareness and intervention strategies to help ensure business goals are achieved.
• Respond to ad-hoc analysis requests with clear, accurate, and business-relevant insights.
• Standardize reporting processes and help foster a data-driven culture through scalable analytics practices.
• Ensure data models and pipelines are reliable, efficient, well-documented, and aligned with business needs.

Requirements

• Bachelor’s degree in business, data science, or related field and a minimum of 10 years of experience in data analytics, business intelligence, data engineering, or related field.
• Extensive technical experience using GA4, GTM, Domo, and Snowflake.
• Expertise in SQL and experience with database technologies (e.g., PostgreSQL, MySQL, Redshift).
• Experience performing data analysis using Python and various Python libraries; demonstrated ability reading and extracting data transformation processes using Python.
• Proficient in modeling and preparing data for analysis.
• Problem-solving skills with the ability to understand business problems and communicate findings across teams.
• Ability to derive meaningful trends from complex datasets, providing teams with actionable insights.
• Strong presentation skills with proven ability to translate nuanced data into clear, compelling narratives for non-technical audiences.
• Proven ability to lead and mentor individuals and teams.
• Must be currently legally authorized to work in the U.S. without sponsorship for employment visa status (e.g., H1B, O-1, TN, CPT, OPT).

Pay

The compensation range for this position is $175,000 - $190,000/year. Compensation for the role will depend on several factors, including a candidate’s qualifications, skills, competencies, and experience and may fall outside of the range shown.

Benefits

• 401(k) with company match.
• Healthcare coverage: medical, dental, and vision.
• Life and disability insurance.
• Paid time off and flexible holidays.
• One volunteer day and two wellness days.
• Paid parental and caregiving leave.
• Hybrid work arrangements.
• Tuition reimbursement.
• Employee assistance program.
• Pet insurance.
• Flexible spending accounts and health savings accounts.
• Commuting subsidy.
• Modern downtown office with a free fitness center, collaborative spaces, golf simulator, and rooftop patio.

Physical Demands

• Remain in a stationary position (standing, sitting, or both) approximately 90% of the time.
• Move short distances approximately 5% of the time.
• Position self to pick up objects (bending, twisting, stooping) weighing up to 5 lbs.
• Lift, carry, push, or pull items weighing up to 5 lbs. approximately 5% of the time.

Work Environment

• Typical office environment with standard office equipment such as computers, keyboards, mouse, photocopiers, and filing cabinets.
• Specific vision abilities required include close vision, distance vision, and the ability to adjust focus.
• Moderate noise level in the work environment.
• Normal lighting and climate control tolerances.
• Hybrid work arrangement may include a home office environment.