Manager, Data Analytics

About the position

As the Manager of Data Analytics, you will lead a team of analysts and oversee the company's analytics, business intelligence, and data strategy initiatives. This pivotal role focuses on leveraging data to drive product improvements, operational efficiencies, and revenue growth while fostering a data-driven culture across the organization. You will collaborate with cross-functional teams to develop insights that inform strategy, enhance customer experiences, and optimize business processes.

Responsibilities

• Lead efforts to leverage data for product improvement, identifying key performance metrics and customer usage patterns.
• Oversee the company's business intelligence environment, ensuring relevant, accurate, and timely insights across all levels of the organization.
• Drive the overarching data strategy for product analytics, implementing scalable data warehousing and reporting solutions.
• Lead the architecture and development of analytics frameworks, ensuring integration of data across all company platforms.
• Collaborate with key stakeholders to generate tailored insights that inform strategy and operational improvements.
• Analyze operational data to identify inefficiencies, track performance, and recommend process improvements.
• Partner with sales and marketing teams to analyze performance data and measure the effectiveness of campaigns.
• Support the financial planning and analysis function by delivering real-time data transformation and reporting solutions.
• Ensure data quality and consistency across systems, maintaining high standards of data integrity.

Requirements

• 5+ years of experience in an analytics or analytics-adjacent field, ideally involving complex data modeling, quantitative analysis, and applied statistics.
• 2+ years of experience leading a team with direct reports.
• Expert fluency in SQL.
• Strong background in Python is highly desirable.
• Working knowledge of data mining principles: predictive analytics, mapping, user-tracking, collecting data from multiple data systems.
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations.
• Second-nature understanding of core statistical concepts (regression, significance testing, omitted variable bias, independence/dependence, etc.).
• Excellent verbal and written communication skills.

Nice-to-haves

• Knack for creative data visualizations.
• Willingness to step outside your role and independently come up with novel ideas for the business.
• Willingness to challenge others' ideas and advocate for your own.
• Strong project planning skills, with experience building roadmaps, estimating required resources, and flagging inter-dependencies with other teams/projects.
• Proficient and experienced in tools/programs: Tableau, Snowflake, DBT, Hubspot, Jira, AWS, Snowplow, Google Suite/Microsoft Suite.