Startups

Senior Data Analyst

Prezi · Remote (US) · Remote

← All jobs
About Prezi

Backed by Accel.

About the role

Shape the future of presentations and idea sharing with Prezi. We are currently growing our data science & analytics team and are looking for a Senior Data Analyst with a passion for working with web, product, user behavioral, and financial data. You will help define strategy, guide operations and KPIs, and impact how we build experiences and products that empower our users to be the best communicators in the world.

What they're looking for

  • Strive to have a positive impact on user experience and key company metrics. Quantify and attribute that impact wherever possible to enable continuous learning
  • Proactively partner with stakeholders to define key metrics, and deliver reports, analyses, insights, and data products that contribute to company growth
  • Foster self-service analytics throughout the company by training & mentoring others, and maintaining core datasets and dashboards
  • Experiment and adopt AI technologies in the data space
  • Team with data engineering to ensure that Prezi has comprehensive and trustworthy data to use
  • Have 5+ years of relevant experience in data/business analytics with large datasets (Internet, banking, telecommunication)
More about this role

Shape the future of presentations with Prezi.

Shape the future of presentations and idea sharing with Prezi. We are currently growing our data science & analytics team and are looking for a Senior Data Analyst with a passion for working with web, product, user behavioral, and financial data. You will help define strategy, guide operations and KPIs, and impact how we build experiences and products that empower our users to be the best communicators in the world.

At Prezi, we believe in data driven decisions, and our data science & analytics team is at the heart of enabling this. We work hand-in-hand with our leadership and cross functional teams to surface the right questions and provide high quality insights through data products, deep-dive analyses and/or creating dashboards for future self-service and reuse. To surface the right data, we continuously iterate on our datasets to improve our reliability, quality, and accuracy of what is being used to make decisions.

What You’ll Do

As a member of our Data Science & Analytics Team , you will conduct end-to-end analyses from the conception (requirements specification, data processing), all the way to the end result and presentation....

Read the full posting on Prezi's site ↗

Data Analytics

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.