Product Data Analyst

About the Role

Key Responsibilities

• Generate Actionable Insights: Employ statistical modeling and data mining techniques to uncover trends and patterns in user behavior and product performance that lead to actionable business insights.
• Collaborate on Product Strategy: Work closely with the product management team to help shape the product strategy and roadmap based on insights gathered from data analysis.
• Product Performance Advice: Regularly monitor and report on the performance of platform products, identifying areas for improvement and recommending solutions to enhance user satisfaction and engagement.
• Leverage Big Data Technologies: Utilize advanced big data technologies such as Hadoop to manage and analyze large datasets, extracting meaningful insights that drive strategic decisions.
• Data Visualization and Reporting: Use Looker to create interactive dashboards and reports that visually represent analytics findings. Share these insights with stakeholders across the organization to inform product enhancements and business strategies.
• Stakeholder Engagement: Serve as a key liaison between the analytics team and other departments, including finance, marketing, and operations, to ensure alignment on key performance indicators and strategic objectives.

Requirements

• 5 - 7 years of relevant experience in data analytics or a related field.
• Strong analytical mindset, skilled in uncovering patterns and making data-driven decisions using techniques like multivariate and time series analysis, and A/B testing.
• Advanced proficiency in SQL, Python, or R, capable of managing large datasets and performing complex analyses in tools like Jupyter Notebook.
• Ability to manage multiple tasks, focusing on those that provide significant impact and strategic advancement.
• Strong project leadership and stakeholder influence, with a keen ability to advocate for and drive ideas forward.
• Expertise in translating complex data into clear insights and recommendations, adept at crafting narratives for diverse audiences.
• Competence in addressing open-ended challenges, spotting opportunities, and innovating under ambiguity.
• Strategic thinking skills, focusing on long-term goals and integrating business insights into decision-making.

Nice to Have

• Experience with other big data technologies beyond Hadoop.
• Experience working in financial technology or similar industries.
• Knowledge of data visualization tools beyond Looker.

Qualifications

• Relevant professional experience in data analytics (5-7 years).
• Proficiency in SQL, Python, or R.

Benefits & Perks

• Annual base salary range of $120,000 - $156,000.
• Opportunity to work in a hybrid role with 3 days per week in the Chicago office.
• Supportive environment with opportunities for career growth.
• Inclusive culture emphasizing diversity, equity, and inclusion.