Data Analyst and Innovator

About BigSpring AI

BigSpring builds field force proficiency for revenue growth, likening it to a practice engine that prepares individuals for success in their chosen game.

Notable companies leverage BigSpring across their sales teams and partner ecosystems.

Customers have witnessed substantial improvements, including 2x sales productivity and 9x faster time to market.

About the Role

We're seeking a Product Engineer/Analytics Engineer who excels at the intersection of data engineering, product analytics, and commercial impact to join our growing team.

This role plays a vital part in enabling data-driven decisions across the business, converting data into actionable insights that shape product direction, customer success, and revenue growth.

• Data Engineering Responsibilities:">
• Design, develop, and maintain scalable ETL pipelines using Python to facilitate 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 drive revenue growth and enhance 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.">
• Partner with commercial teams to analyze performance data and support customer-facing initiatives.">
• Enhance AI models through data analysis and curation.

Requirements

• 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.">
• Able 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.

What We Offer

• 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 options.">
• Medical, vision, and dental coverage.">
• Flexible vacation and PTO.">
• Supportive, highly collaborative team environment.

EEO Statement

Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other protected characteristic.