Productiv is creating a SaaS Intelligence movement, empowering IT teams to enhance their SaaS portfolios with unmatched insights. Founded in 2018 by leaders from Google, Amazon, and LinkedIn, we're a Series C startup that's defining a market while living our values: stay human, plan to win big, deliver results, take ownership, customers before team before self, and do the right thing, even when it's hard. And we're backed by Tier 1 investors including Access, Norwest, IVP, Okta, and Atlassian. CIOs at innovative companies like Okta, Equinix, Dropbox and Uber trust Productiv to optimize spend, speed operations, and drive engagement. Come explore the huge opportunities our tight-knit, collaborative teams are creating together.
Productiv is on a mission to align IT and business leaders to unlock the most value from their SaaS portfolio at scale. We are looking for someone customer-centric, data-focused, and passionate about building products users love. This is a career-changing opportunity, working with some of the best in the Valley to build a product that changes the way companies get value out of their SaaS products.
As the Senior Analytics Engineer, you will be the primary driver of analytic solutions to support revenue growth and will be responsible for the end-to-end analytic process at Productiv. You will own our analytics infrastructure and be responsible for collecting, managing, and analyzing data to develop insights and recommendations to enable the business to take action and make better decisions.
You will drive new analytics projects, maintain and evolve existing reporting and dashboards, respond to incoming data requests, and implement data best practices and processes for consistency and scalability. You will report directly to our VP of Revenue Operations and will work closely with business stakeholders across the organization.
The US base salary range for this full-time position is $106,785 - $142,380. Our base salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, benefits, or discretionary bonus.
Requirements:
If this role sounds like you, even if you do not match 100% of the requirements - please apply!
When teams align, great things happen. It's at the heart of our vision of bringing teams together through the power of data. We’re on a mission to unlock the most value from your SaaS portfolio at scale.
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