Product Data Analyst

Company 

Sezzle is a pioneering fintech company with a mission to financially empower young customers. Our payment platform enhances consumer purchasing power by offering interest-free installment plans. This surge in consumer buying force invariably leads to augmented sales for the hundreds of retailers currently associating with Sezzle. 

What Makes Working at Sezzle Awesome? 

Sezzle isn’t just home to excellent engineers, ardent data lovers, non-conformist thinkers, and resolute innovators; it also houses talented musicians, yoga enthusiasts, cyclists, chefs, golfers, pet lovers, and rock climbers. We believe in not only recruiting the best of the best, but individuals who are distinct and intent-driven. Sezzle understands and appreciates the role of diversity and inclusivity in enriching the work experience of its employees and supporting our mission. Our culture transcends the traditional startup culture offerings and is a tangible exemplar embodied in every employee we hire. 

Position 

Currently, Sezzle is hiring a Product Data Analyst to harness the power of analytics to improve business outcomes. Collaborating with business team leaders, you'll play a key role in defining monitoring metrics and performance goals. Your responsibilities will cover writing SQL queries, developing charts, and creating dashboards. Though you'll work primarily with the Product team, you may occasionally support initiatives from various departments like Engineering, Finance, Sales, Marketing, Support, Legal, or People Operations.

Key Responsibilities Include: 

• Collaborating closely with business teams to understand their prime requirements and analytical needs
• Creating advanced analyses and reports to provide insights on a large scale that support growth strategies and enable data-driven decision making
• Visualizing and articulating analytical results in a manner that makes it easy for stakeholders to interpret and act upon
• Assisting stakeholders in identifying new opportunities through data analysis
• Creating, overseeing, reviewing, and analyzing reports and dashboards, proactively addressing arising issues, and conducting root cause analyses

Minimum Requirements: 

• An undergraduate degree in statistics, math, actuarial science, economics, data science, computer science, or related quantitative discipline
• At least 3 years of professional experience working with data, including: complex dataset creation, reporting, profiling, and machine learning
• Expertise in using SQL to extract data and create actionable datasets
• Experience with Python for data manipulation and analytics
• Able to conduct analyses with minimal oversight
• Experience with data visualization tools such as Redash, Tableau, Looker or Power BI
• Comfortable making significant decisions in a fast-paced and often uncertain environment, able to swiftly adapt to new priorities
• A keen eye for detail and multitasking ability
• Superior problem-solving skills
• Strong business acumen and communication skills
• Proficient in English

Preferred Knowledge and Skills: 

• A graduate degree in a quantitative discipline
• Experience in optimizing operational and financial performance
• Experience in payments, financial services, banking, fintech, BNPL 
• The Tech You’ll Work With:
• Python
• Redshift, PostgreSQL
• Data build tool (dbt)
• AWS, G Suite, Mac

Interview Process: 

• Online assessment
• Discussion with our recruiter
• SQL interview with Coderpad. Show us your proficiency in SQL
• Oral case study interview. Talk about your problem-solving approach. A “How would you…” discussion
• Oral behavioral interview. Share your problem-solving experience. A “Tell me about a time when you…” discussion

About You: 

• Impeccable character. We value team spirit at Sezzle
• Industrious attitude. There’s still much to build
• Exceptional communicator 
• Fun-loving disposition – we believe in balancing hard work with pleasure 
• Intelligence – competent enough to make autonomous decisions but also wise enough to seek others’ inputs when required 

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