Director of Data Analytics

Hi Marley; United States; Hybrid; USD 170,000 - 230,000; Full time

Benefits offered by this job

Core values-based leadership

Open vacation policy

Diversity and inclusion culture

Ongoing learning opportunities

Stock options

Job summary

Hi Marley is seeking a Director of Data Analytics to build and lead the analytics team, partnering with Product, Customer Success, Growth, Marketing, and Finance to drive data-driven decisions. You will own hiring as the function expands and align analysts with the business functions they support.

The role sits in the Boston office for 3 days per week, with a focus on setting the analytics roadmap, establishing core metrics, and delivering analyses that inform pilots, product decisions, and

Qualifications

• 10+ years in analytics with leadership experience.
• Led analytics or BI function at a B2B SaaS or growth-stage company.
• Strong SQL, data modeling, statistics, and experimentation.
• Experience with data visualization and modern BI tools such as Looker.
• Ability to partner with product, finance, marketing, and others.

Responsibilities

• Set the analytics roadmap with each function and establish trusted company metrics.
• Deliver customer pilots, product analysis, and financial analysis that teams rely on.
• Grow and coach the analytics team; hire as the function expands.
• Establish standards, tooling, and self-serve access for leadership and teams.
• Partner with Data Engineering on pipelines and data governance, set analytics priorities.

Skills

SQL

Data modeling

Statistics

Experimentation

BI tools

Tools

Looker

Job description

• As we continue to grow, we’re looking for a Director, Data Analytics to build and lead the team that helps every part of Hi Marley make better decisions with data. Reporting to the Chief Product Officer, you’ll lead an existing analytics team of two, including a Manager of Analytics. You’ll own hiring as the function expands and partner with leaders across Product, Customer Success, Growth, Marketing, and Finance to drive data-driven decision-making. You’ve built, scaled, and delivered with this function at a growth-stage company before, and you’re just as comfortable rolling up your sleeves and diving into the data yourself


• The team will sit together, with shared standards, tools, and a career path, while each analyst embeds deeply with the functions they support so they understand the business and move at its pace. In your first year, you’ll set the analytics roadmap with each function, establish trusted company metrics, and deliver the customer pilot, product, and financial analysis our teams need most. Our data strategy holds that everyone at Hi Marley should be able to find, understand, and trust the data they need to make decisions, without waiting on another team, and that the metrics we share with customers should be the ones we run the business on. You’ll make that real. Our Data Engineering team owns the pipelines and governed data foundation, and our data product team owns the data surfaced inside the product. You own how Hi Marley uses data to run the business and deliver impact for the organization


• Teamwork and shared enthusiasm are a core part of our culture, which is why this role involves joining us in the Boston office for 3 days each week


• Empower the organization to make data-driven decisions by partnering with teams, understanding workflows and decisions, and ensuring they have the right data and analysis to inform impactful business decisions


• Create shared standards, tooling, and career paths, with each analyst aligned to the functions they support. Grow the two analysts on the team today, and hire as the function expands


• Define and govern core company metrics and build self-serve access, so leadership and board reporting run on one trusted source and teams can answer their own questions


• With Growth and Customer Success, measure customer pilots and utilization (baselines, pre/post analysis, and readouts) to prove value and support renewal and expansion


• With Product, own usage, adoption, funnel, and testing analysis so teams know what’s working and what to build next


• Partner with Finance and FP&A on billing, usage, and financial reporting, so the usage and billable-outcome data behind forecasting and planning is accurate and on time


• Deliver pipeline, campaign, and go-to-market analysis that helps Marketing and Growth focus on impact


• Partner with Data Engineering: They own the pipelines and the governed data foundation. You set the analytics requirements, priorities, and standards on top of it, including the direction of our internal visualization tooling

Benefits

• Core values-based leadership


• Open vacation policy - we all work hard and take time for ourselves when we need it


• A culture of employee engagement, diversity and inclusion


• Ample opportunities to learn and take on new responsibilities in a fast-paced, growth-mode startup


• A fun, lively startup culture


• Full benefits package including parental leave, a matching 401k program, and medical, dental, vision, disability, and life insurance


• Generous stock options - we all get to own a piece of what we’re building

Hands-on experience across product analytics (usage, funnels, experimentation), customer and revenue analytics (pilots, utilization, retention), and financial analytics (billing, usage, FP&A support)A track record of building an analytics team from a small start, scaling it as the company grew, and delivering analysis that changed decisionsStrong SQL, data modeling, statistics, and experimentation, plus modern BI tools (e.g., Looker). You’re a credible partner to data engineeringYou make data tell a clear story, and you surface hard news (data quality issues, tradeoffs) directly with a path forwardYou grow analysts quickly, coach them to own outcomes, and build a culture of curiosity and impactReal curiosity about what data can teach us, and the instinct to find the question nobody has asked yet10+ years in analytics, including 5+ years leading analytics teams. You’re a leader who has built and owned an analytics or business intelligence function at a B2B SaaS or other growth-stage companyYou turn business questions into analysis and analysis into decisions, and you’re comfortable with executives and frontline teams alike. You build alignment across functions