Zencastr

Data Analyst

Zencastr

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Job Level

Mid-LevelSenior

Tech Stack

SQLTableau

About the role

  • Partner across departments to build a rapport and be a trusted advisor to team members; Use an analytical perspective to inform decision making and help drive a focus on the most impactful ideas
  • Navigate ambiguity of stakeholder requests and formulate hypotheses while building consensus
  • Design and build advanced analytical solutions and products to deliver superior business outcomes using research and performing quantitative and qualitative analysis
  • Identify trends and opportunities to drive product growth and nurture a healthy ecosystem
  • Use BI tooling, construct core dashboards, visualizations, and analyses to help stakeholders monitor product health and make better decisions
  • Communicate insights to stakeholders distilling complex analysis into accessible learnings; Deliver effective presentations to influence multiple levels of stakeholders
  • Continuously improve your business acumen and understanding of Zencastr products and business, as well as the podcast/creator industry at large
  • Understand underlying data sources and their limitations and communicate complex data insights through exploratory analysis and research to suggest improvement
  • Conduct research on various business processes to uncover bottlenecks and provide recommendations to improve and align with the business goal
  • Analyze various business-related effects, e.g. product optimization and improvement, market activity analysis, operation analysis, etc
  • Collaborate with the operation team, analyze business operation efficiency, identify business problems, and provide optimization suggestions to improve operating efficiency

Requirements

  • 3+ years of data analytics experience, preferably for SaaS companies
  • Strong SQL - experience navigating and working with data sets and developing data pipelines using SQL
  • Has strong experience analyzing and reporting on acquisition, conversion and user retention metrics to measure the impact of campaigns
  • Undergraduate degree in quantitative major (Finance, Economics, Math, Computer Science) or equivalent experience
  • Experience working with Product, Engineering, Sales & Operation teams
  • Foundational understanding of data modeling best practices
  • Experience using BI visualization tools like Metabase, Looker, Power BI or Tableau
  • Experience using Analytics tools like Google Analytics, FullStory, Heap, Amplitude, Mixpanel
  • Able to summarize, explain and simplify complex data analyses and concepts
  • Ability to manage multiple deliverables simultaneously and proactively communicate changes and roadblocks
  • Comfortable working collaboratively with various stakeholders across departments, including senior management
  • Motivated to find a faster way to do your least favorite tasks