Senior Manager, Analytics

Summary

Join Havenly Brands as a Sr. Manager of Data & Analytics and lead a team driving long-term growth through data-driven decisions. You will design, collect, and deliver data insights, partnering with various departments to develop and evaluate strategies. This role requires expertise in data analysis, statistical modeling, and communication, along with experience managing analytics teams and data warehouses. The ideal candidate is passionate, curious, and able to translate business problems into data-driven solutions. Havenly offers a competitive compensation package, including generous PTO, health benefits, 401K, parental leave, and unique perks like free design services and furniture discounts. Remote candidates are considered.

Requirements

• Passion, curiosity, and care to empower an organization with data to make informed decisions
• 6+ years of industry experience translating ambiguous business problems into data-driven solutions
• Proven experience managing analytics teams and leading data strategies
• Experience managing a data warehouse (Snowflake/BigQuery preferred)
• Expert SQL skills; proficient python skills with applications in data analysis, statistical/ML modelling, and data engineering
• Expert communication skills, with vast experience presenting analysis to stakeholders, clearly communicating findings and methods used
• Experience working in a fast paced environment, and a proven track record of driving impact
• You are able to ruthlessly prioritize based on what will drive the most impact for the company
• You are a lifelong learner, you are always learning new things and love to teach others
• You thrive in a fast paced environment
• Bachelor’s degree in a data intensive field such as Economics, Mathematics, Computer Science, Engineering, Business, Finance, or Psychology; advanced degree preferred

Responsibilities

• Lead and develop a high-performing analytics team
• Manage data accessibility across the organization by developing, deploying, and maintaining software into our modern analytics stack, collecting, storing, cleaning, and delivering impactful data to the business. Using tools and programming languages such as: SQL, Python, Snowflake, dbt, Looker, Segment, Fivetran
• Act as a consultant to the business to answer critical business questions with data
• Partner with Product, Marketing, and Operation (among other departments) to structure data collection implementations
• Perform and oversee data analysis tasks, including advanced analysis with statistical modelling to support all departments
• Partner across the organization to define and evaluate performance indicators being used to evaluate strategies and initiatives, and assessing if these indicators are predictive of long term objectives
• Continuously improving our reusable data structures, to reduce repetitive manual report creation and increasing the capacity of the questions we can answer
• Present analysis findings to leaders across the company to drive action and decisions
• Define and execute a data strategy that aligns with organizational goals
• Partner with leadership to identify and prioritize analytics initiatives

Benefits

• Competitive compensation
• Generous PTO
• Volunteer days off
• Health benefits (Medical, Dental, Vision, Disability)
• 401K
• Paid Parental leave
• Fertility benefits
• Free design services
• Furniture discounts
• Merchandise credits