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Basis Technologies

Director Of Product Analytics

Posted 4 Days Ago
Easy Apply
Remote
2 Locations
Senior level
Easy Apply
Remote
2 Locations
Senior level
Lead the Product Analytics team, develop product analytics roadmaps, drive operational excellence, and influence company-wide strategies using data insights.
The summary above was generated by AI
WHO WE ARE 

At Basis Technologies, we empower agencies and brands with cutting-edge software that automates digital media operations. Our all-in-one platform supports seamless planning, reporting, and financial reconciliation across direct, programmatic, search, and social media.

We’re not just building advanced technology; we’re also building a culture where passionate, motivated individuals come together to drive meaningful change. Our commitment to inclusivity and growth ensures our employees thrive both professionally and personally.

With our headquarters in Chicago, we offer flexible work options across the U.S. and Canada, including remote, hybrid, or on-site at headquarters.

ABOUT THE TEAM
The Business Intelligence & Data Operations team works on data and reporting solutions using big data from our online programmatic ad-buying and automation platform to solve business problems and support decision-making. They work with a wide variety of groups within Basis including Product Management and Engineering, Finance, Customer Success, Sales, Operations, and Services. The team manages all aspects of custom reporting and analytics projects and advises on reporting capabilities available through our technology platform and API. They are responsible for unlocking the vast amount and huge potential of Basis data to drive the company's key metrics and generate actionable insight empowering data-driven decisions.

WAYS YOU’LL CONTRIBUTE
The Business Intelligence and Data Operations team is the ideal place for someone who thrives on working in a fast-paced growth environment, has a passion for working with data and technology, and is not afraid to take on some of the most complex challenges that Basis has to offer.
We are looking for a strategic leader who can combine business acumen, technical and analytical skills to meet and deliver on product analytics needs across the organization. A successful Director of Product Analytics will challenge traditional thinking and drive business through data in new ways. You will contribute by:

  • Developing and driving a product analytics roadmap that aligns with product priorities and business goals.
  • Driving speed, focus, and operational excellence within product analytics - delivering data products, insights, and tools that move the needle.
  • Hiring and growing a team of Product Data Analysts through leading, coaching, and developing talent.
  • Being a thought partner to Product and cross-functional leaders, providing strategic insight into user behavior, product performance, and future opportunity areas.
  • Influencing company-wide product and growth strategies through compelling storytelling with data to senior leadership and cross-functional stakeholders.
  • Defining and continuously improving our product analytics data collection and visualization stack with support from Data Operations, Engineering, and Data Science.
  • Championing product health metrics and KPIs - ensure consistent, accurate measurement frameworks.
  • Partnering closely with Product Experience, Marketing, Finance, Customer Success, and Engineering to ensure alignment and maximize the strategic value of data.
  • Promoting a rigorous experimentation and testing culture, ensuring statistically sound A/B testing frameworks are in place and well understood.
  • Cultivating a culture of curiosity, learning, and technical excellence within your team.
  • Staying current with industry trends and best practices in analytics, and experimentation - and encourage your team to do the same.

WHAT YOU BRING TO THE TABLE

  • 8+ years of work experience on a team with similar core responsibilities.
  • 4+ years of experience successfully building and growing product analytics teams with a SaaS company.
  • Post-secondary education with a strong analytical component, e.g. statistics, business, social sciences, sciences.
  • Deep expertise in product analytics, instrumentation, and experimentation.
  • Experience working with product instrumentation tools (e.g. Pendo).
  • Strong knowledge and experience with Relational Databases and SQL, Python for data analysis, and data visualization tools (e.g. Power BI, Tableau).
  • Excellent storytelling skills and the ability to translate complex analyses into compelling business narratives.
  • Experience with the entire product development cycle in a fast-paced workplace.

BONUS POINTS

  • Knowledge of the digital advertising industry (e.g. AdWords, DSPs, ad-serving).
  • Experience working with product analytics tools (e.g. Pendo).

Our Team's Tech Stack

  • Snowflake, MySQL, MongoDB
  • Power BI, Python, Pentaho
  • JIRA, Confluence, Stash, Git


ANYTHING ELSE? 

Don’t have every skill listed? No problem! We know experience can be built in many ways. If you have relevant skills that aren't reflected in your resume, we encourage you to share them in an optional cover letter.  

LIFE WITH BASIS TECHNOLOGIES

We’re committed to our people’s growth and well-being because our success is tied to theirs. That’s why we’ve earned recognition as a top workplace, including: Ad Age, #1 Best Places to Work 2025, WorkLife's #1 Most Committed to Work Life Balance, and the Chicago Tribune's Top Workplaces in Chicago.

We offer competitive perks, including a flexible work week, 401k/RRSP matching, mental health support, paid sabbaticals, generous parental leave, flexible work options, and more.

Basis is proud to be an equal-opportunity employer. We celebrate all team members regardless of gender identity, sexual orientation, race or cultural background, religion, disability, age, and beyond.

If you need assistance with interview accessibility, please contact [email protected]. Your privacy is important to us, view our policy here.

Top Skills

MongoDB
MySQL
Pendo
Pentaho
Power BI
Python
Snowflake
SQL

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