Data Analyst Manager

Madhive is currently seeking a Data Analyst Manager who will be responsible for the development and implementation of business-focused data-driven insights that will support internal teams throughout our product organization. 

The Data Analyst Manager will work cross-functionally across product, engineering, client success, and data solution teams to develop and provide data-driven insights, troubleshoot data and/or analytical discrepancies, and build custom dashboards/reporting for our clients. 

You will have a crucial role in building out the responsibilities for the Data Analyst team and establishing standard workflows for cross-team collaboration with the rest of the Product org. This is a strategic role where you can combine big-picture thinking with hands-on work, balancing people management, technical oversight, and cross-functional leadership.

Responsibilities (What you’ll do):

• Serve as a player-coach and subject matter expert leading hands-on with technical know-how
• Grow and lead a team of analysts, fostering a collaborative and innovative work environment
• Determine methods and procedures on new data projects, and provide leadership to other data engineers.
• Tackle complex problems and uncover actionable solutions within huge data stores
• Work cross-functionally to figure out what data matters most for our business – you’ll dive deep into data, uncover trends, and build dashboards and reports that tell a story
• Design intuitive dashboards as needed using Data Studio, Looker, or similar tools.

Qualifications (Who you are):

• Bachelor’s degree or advnaced degree in a quantitative field of study (Computer Science, Engineering, Mathematics, or related field)
• 5+ years of related professional experience with deep understanding of the adtech landscape (DSP or similar technical experience required) 
• Strong data analytical background with experience generating insights, providing business recommendations, and creating project requirements
• Ability to present complex analyses/technical concepts to both technical and non-technical audiences
• A SQL/Big Query whiz with deep hands-on database expertise and the ability to query data and perform analysis
• Experience working with iframe, GitHub or similar and web development
• Strong visualization skills 
• Experience coding and writing scripts in Python (or similar languages).
• Experience with various data environments, such as AWS, Hadoop, and Google BigQuery
• Strong written and verbal communication skills with internal and external clients.

The approximate compensation range for this position is $130,000–$160,000. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant’s experience, knowledge, skills, and abilities, as well as internal equity among our team.