Product Analyst

BigSpring AI builds field force proficiency for revenue growth. Think of revenue as the “game scoreboard”, and BigSpring AI as the practice engine for people to get ready for the game. Google, Pfizer, SAP, Cisco, HSBC, Tata, Nutanix use BigSpring AI across their ecosystem of sales teams and partners. Customers have seen 2x sales productivity, 215% uplift in upsell, 9x faster time to market, and more. John Chambers, Adam Grant, Stewart Butterfield, Marty Nestbitt (chair of the Obama Foundation), Claire Hughes Johnson (COO of Stripe), Mark Templeton (President & CEO of Citrix) are investors/advisors.

About the Role

Product Analyst/Analytics Engineer

You’ll build and maintain data pipelines, support A/B testing infrastructure, uncover insights across customer journeys, and ensure our data ecosystem is robust and actionable.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines using Python to support data ingestion, transformation, and integration from multiple sources.
• Develop and maintain A/B testing frameworks, track key metrics, and analyze experiment results to inform product strategies.
• Collaborate with cross-functional teams, including customer success, sales, and marketing, to support commercial strategies with data solutions.
• Analyze customer and operational data to identify trends, patterns, and opportunities that support revenue growth and improve customer engagement.
• Develop and maintain dashboards and reports using SQL and data visualization tools like Looker, Tableau, or Power BI to present insights to stakeholders.
• Write and optimize complex SQL queries for data analysis and support decision-making processes.
• Ensure data integrity and quality through regular audits, validations, and monitoring.
• Assist in the development of metrics and KPIs to measure the success of business initiatives.
• Partner with commercial teams to analyze performance data and support customer-facing initiatives.
• Data analysis and curation to improve AI models

What We’re Looking For

• Bachelor’s degree in Computer Science, Data Engineering, Statistics, Mathematics, or a related field.
• 5+ years of experience in data engineering, ETL development, or a related role.
• Strong proficiency in Python, with experience in building ETL workflows and data processing scripts.
• Advanced SQL skills, including query optimization and database modeling.
• Proficiency with data visualization tools (e.g., Tableau, Power BI, or Looker).
• Familiarity with A/B testing methodologies and ability to analyze experiment results.
• Solid understanding of Excel, including advanced functions and pivot tables.
• Familiarity with cloud platforms and data storage solutions (e.g., AWS, GCP, Azure) is a plus.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent communication skills to present data-driven insights to non-technical stakeholders, which may include customers.
• Ability to work collaboratively in a team-oriented environment.
• A proactive mindset and eagerness to learn new tools and technologies.
• Comfortable multitasking across various roles and working independently.

Why you'll love working here:

• You'll be part of an innovation-driven, high-growth company on a mission to improve people's lives
• Competitive compensation package with equity
• Flexible location and work-from-home
• Medical, vision, and dental coverage
• Flexible vacation and PTO
• Female Founder/CEO
• Supportive, highly collaborative team environment

BigSpring is an Equal Opportunity Employer. BigSpring does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. You must have authorization to work in the location the position is posted.

Join BigSpring and be part of a team that is transforming how individuals and organizations learn and adapt in the age of innovation. If you're passionate about shaping the future of learning and driving growth, we want to hear from you!