Senior Data Product Business Analyst

Summary

Join MeridianLink's Data Insights team as a Sr. Data Products Business Analyst! This role is crucial to our decision-making process and involves developing industry-leading data products. You will leverage advanced analytics skills to accelerate our data product strategy and ensure tangible ROI for internal and external customers. You'll collaborate with a cross-functional Data Engineering team, defining requirements, and testing throughout the product lifecycle. This position requires a strong sense of ownership, passion for data, and a desire to impact a leading software company. The ideal candidate will refine ambiguous questions, create user stories, build BI reports, and maintain documentation. This is a fantastic opportunity for a data-driven individual to make a significant contribution.

Requirements

• Bachelor’s degree/equivalent in computer science, finance, mathematics, or related field and 4-6 years of experience
• SQL or similar query language expertise required
• Proficiency with BI tools (Power BI, Tableau, Sisense) required
• Experience working within an agile scrum environment
• Experience in applied analytics field (Marketing, Finance, Product, Econ, etc.) with operating knowledge of Analytics/Data Science industry best practice
• Excellent communication, leadership, and problem-solving skills with the ability to communicate methods and results to a non-technical/technical audience
• Must be intellectually curious, self-motivated, collaborative, and a team player with an infectious excitement about data

Responsibilities

• Refine ambiguous questions/asks and generate requirements that support internal data products through a deep understanding of the data, our customers, and our business
• Operating within the scrum framework; create and communicate clear business requirements, user stories, and acceptance criteria that translate business needs into clear work items submitted into sprints
• Build complex BI reporting and analysis in Sisense and SQL that provide stakeholders with insight to better operate and achieve cooperate strategies
• Maintain reporting and analytics documentation through confluence for business stake holders
• Partner with Data Engineering teams to solve for Data Model challenges and promote the highest standards of data accuracy and reliability
• Demonstrate ownership and execution of solutions to complex problems

Preferred Qualifications

• Financial industry experience highly preferred
• Statistical analysis using Python/ R or other scripting language a plus

Benefits

• Potential For Equity-Based Awards
• Insurance coverage (medical, dental, vision, life, and disability)
• Flexible paid time off
• Paid holidays
• 401(k) plan with company match
• Remote work