Product Data Analyst

Location - New York, SF/Bay Area preferred, open to other locations

About BigSpring

BigSpring is solving a Top 3 global challenge - Reskilling. By 2030, most of today’s jobs will require upskilling, many jobs will disappear, and more new ones will emerge that don’t exist today, collectively impacting billions of people.
Our mobile learning platform equips people with the lifelong learning they need to be gainfully employed, and enables employers to measure ROI from learning to establish it as a core business driver - not a discretionary expense.
BigSpring allows our learners the same human-centered, technology-aided experience they enjoy when they navigate to a restaurant, track daily fitness, or browse recommended videos on their smartphones. Learners can map their employment goals to market needs, create skill portfolios that showcase proficiency, engage in learning communities composed of peers and coaches, and measure employability in real-time.
Uber, United Technologies, Tata, OYO and others have made BigSpring their learning platform of choice for over 500,000 learners across Asia Pacific, Africa and the Americas.

About the role

Are you someone that is excited and passionate about providing critical insights and analytics that inform the product direction as well as help understand our customers better? Through your high-quality analysis and attention to detail, you will be the go-to person at BigSpring for product performance and insights. Product data analysts at BigSpring are expected to leverage engineering, analytics, and product knowledge to empower data-driven decision making in the full lifecycle of product development.
As one of the first product data analyst hires at BigSpring, you’ll design, build, and own systems and processes that enable analytics, influence product features, and form the foundation of our enterprise reporting product.
An exciting, innovation-driven outlook with plenty of opportunity for growth, an attractive base salary with equity in the growing business, all await you at BigSpring - an equal-opportunity employer that welcomes diverse thinking and perspectives.

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What you will do

  • Collaborate with engineering, product, and design to make every aspect of the BigSpring product intelligently data driven.
  • Develop our productized analytics offering, enabling clients to track and measure workforce skills training outcomes. This will include the development of Performer Score, the BigSpring proprietary real-time measure of proficiency.
  • Produce actionable insights, conduct research, and make data-driven product decisions by applying a diverse set of tactics including statistics, quantitative reasoning, experimentation, and understanding of user behavior.
  • Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of the domains of product, analytics, and data science.
  • Lead the overall data strategy and implementation by driving what we measure and how we measure it.
  • Provide comprehensive day-to-day analytics support across the organization by reacting to ad-hoc questions and requests influencing decision making.

What you bring

  • 3+ years analytics experience or equivalent.
  • Fluency in SQL, fundamental understanding of statistical analysis and awareness of common pitfalls of data analysis.
  • Fluency with data, analytics, and visualization technologies (Our current stack consists of PostgreSQL, Metabase, Mixpanel, and Node.js).
  • Familiarity with modern software development practices and a desire to understand the data pipeline from end to end.
  • Experience in synthesizing and applying data-backed insights to solve practical product problems.
  • Familiarity with data warehouse design and best practices.
  • A product-first mindset with a forward-thinking approach about how to use your craft to enable and evolve the user, the business, and the brand.
  • A willingness to be a broad generalist, wear many hats, and react to changing requirements.
  • Ability to prioritize competing tasks, work autonomously, understand tradeoffs.
  • Excellent verbal and written communication skills, especially when working with non-technical stakeholders.
  • Passion and enthusiasm about your craft.