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As a Data Analyst at Zencastr, you will partner with different departments and teams to make data-driven decisions that ship better products by delivering product insights and strategic recommendations based upon quantitative analysis. You will be involved in driving data-based decisions and lead initiatives to improve operational efficiency. You will be an active thought partner and subject matter expert in your data, deeply involved in new projects and all aspects of your stakeholders deliverables.
Job Responsibility:
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