Senior Data Product Business Analyst

March 12

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Logo of MeridianLink

MeridianLink

MeridianLink is a leading provider of SaaS solutions for financial institutions, specializing in loan origination systems and digital transformation technologies. Their end-to-end platform enhances digital experiences through integration with mortgage LOS, deposit account opening solutions, and more. MeridianLink's cloud-based systems improve efficiency in loan processing and collections, data-driven decision-making, and account management. The company collaborates with partners to expand market reach and drive growth in the fintech industry. With over 25 years of experience, MeridianLink is dedicated to supporting banks, credit unions, and other financial service providers through technology and business intelligence.

technology • financial services • banking • loan origination system • Loan Origination

501 - 1000 employees

Founded 1998

💳 Fintech

🏦 Banking

☁️ SaaS

💰 $485M Post-IPO Debt on 2021-11

📋 Description

• Data insights is a central component to MeridianLink’s decision making process, and critical to the continued success of the organization. • MeridianLink is looking for a seasoned Analyst with exceptional communication skills for the position of Sr. Data Products Business Analyst to join our Data Insights team. • This team is responsible for developing industry-leading data products that drive tangible business value to our MeridianLink stake holders. • Your efforts will focus on applying your advanced analytics skill set and strong sense of ownership to accelerate our data product strategy and enable internal/external customers to recognize tangible ROI. • You will partner with, prioritize, and set direction, for a cross functional Data Engineering team to better execute functional requirements. • You will contribute to the MeridianLink data and information strategy by developing and documenting requirements and testing across the data product life cycle ensuring conformity to industry best practice and the Agile process. • This is a great opportunity for a candidate with a strong sense of ownership, is passionate about data, and wants to have a direct influence on the success of an industry-leading software company.

🎯 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. • Financial industry experience highly preferred. • 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. • 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

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