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Sr. Product Data Analyst
Confirmed live in the last 24 hours
Locations
Remote • United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Business Analytics
Leadership
R
Research
SQL
Python
Looker
Responsibilities
  • Collaborate with our product team to drive impactful user experience, acquisition, engagement, and retention initiatives using data
  • Develop a deep understanding of Kiva lenders by sifting through rich user behavior datasets, deriving and communicating insights on lender engagement and delight through the user journey
  • Use your statistical prowess to identify opportunities to engage
  • Develop a robust product analytics framework by defining metrics, designing scalable product-specific data models, building critical company dashboards, and developing a core shared knowledge base
  • Perform ongoing trend analysis and shareouts to inform day-to-day decisions
  • Design, run, and analyze experiments to efficiently arrive at scalable insights that drive lender engagement and satisfaction
  • Be a strong voice in optimizing our analytics workflow and partner with data engineering in building scalable data solutions
  • Provide leadership on a range of analytics work occurring across the company, including mentoring data users in support of self-service (we use Looker, but experience in any BI tool will help)
Desired Qualifications
  • 5+ years experience in product analytics, data analytics, business analytics, data science, economics, statistics or related field
  • Consistent record of conducting proactive data analysis, distilling actionable takeaways, telling a story with data, making recommendations, and driving informed decision-making
  • Deep expertise in user-focused product analytics concepts such as user experience, user journeys, funnels and loops, and engagement/conversion/retention/referral mechanics
  • Deep expertise working with clickstream/event data and metrics
  • Experience designing and evaluating statistical tests, including multivariate tests with non-binary outcome variables
  • Well-versed in SQL and familiar with Python, R or other statistical packages
  • Confident in interacting with complex and nuanced data models, and will push for simplicity when necessary
  • Strong presentation and communication skills, with experience working with cross-functional stakeholders and executives
  • Familiarity communicating with and liaising between technical colleagues (Data Engineering, Machine Learning) as well as non-technical partners (User Research) and stakeholders (PMs)
  • Comfortable extensively using BI tools (Looker preferred)
  • Ability to thrive in a fast-paced, dynamic environment and drive change
Kiva

51-200 employees

Perfect Food Company
Company mission
Kiva envisions a financially inclusive world where all people hold the power to improve their lives.
Benefits
  • Medical, dental, and vision insurance
  • Unlimited PTO
  • $750 stipend for continuing education
  • Parental leave
  • 401(k) plan
  • Community building activities
Company Values
  • Safety and privacy.
  • Respect.
  • Optimism.
  • Self-determination & personal strength.
  • Mutuality.
  • Genuine human relationships.