Data Analytics Manager

Summary

Join Mediavine's Engineering team as a Manager of Data Analytics! Lead a team of data analysts, develop advanced analytics frameworks, and collaborate with cross-functional teams to drive data-driven decision-making. Present findings to stakeholders and ensure data integrity and compliance. This role requires a strong data analytics background, 7+ years of experience, and 3+ years of team leadership experience in a remote environment. The position offers a competitive salary, comprehensive benefits, generous paid time off, and professional development opportunities. The position is 100% remote, with approximately 15% travel required for team events.

Requirements

• Bachelor’s or Master’s degree in Analytics, Data Science, Statistics, Computer Science, or a related field
• 7+ years of progressive experience in an analytics or related role
• 3+ years of proven experience leading and managing a team of data analysts in a remote environment
• Experience with advanced data pipelines
• Strong proficiency with data visualization tools (e.g., Looker, Domo, Tableau) and reporting platforms
• Strong proficiency in SQL and database programming
• Experience in programming languages such as Python and/or R
• Experience with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift)
• Excellent analytical and problem-solving skills
• Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders
• Demonstrated ability to influence strategic decisions through data-driven insights
• Ability to work collaboratively in a fast-paced, dynamic, remote environment, balancing multiple projects and deadlines

Responsibilities

• Lead and mentor a high-performing team of data analysts, fostering a collaborative and innovative environment
• Develop and maintain advanced analytics and reporting frameworks to provide actionable insights to stakeholders
• Collaborate with cross-functional teams, including revenue, finance, marketing, product, and engineering, to define and prioritize data science initiatives
• Present findings and insights to stakeholders, translating complex data into clear and actionable recommendations
• Stay current with the latest developments in data science, machine learning, and the AdTech industry to continuously improve our capabilities and inform strategic decisions
• Ensure compliance with data privacy regulations and maintain the highest data integrity and security standards
• Collaborate with data engineering leadership to enable accurate, timely, and actionable data foundations for analytics projects
• Work with project and product management teams to set measurable KPIs at the project and product level
• Availability to travel to on-site locations for team retreats, leadership meetings and the annual all hands events approximately 15% of the time

Preferred Qualifications

• Experience with machine learning, modeling, algorithms, and knowledge extraction
• Experience with MLOps using Azure ML, ADF, Databricks, Google Cloud, or AWS
• Exposure to data privacy regulations (e.g., GDPR, CCPA) and best practices
• Understanding of the AdTech industry

Benefits

• 100% remote
• Comprehensive benefits including Health, Dental, Vision and 401k match
• Generous paid time off
• Wellness and Home Office Perks
• Up to 12 weeks of paid Parental Leave
• Inclusive Family Forming Benefits
• Professional development opportunities
• Travel opportunities for teams, our annual All Hands retreat as well as industry event