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Education & alternatives

Required Qualifications, Capabilities, and Skills: - Hold a bachelor’s degree in data science, Statistics, Computer Science, or related field. - Demonstrate 5+ years of hands-on experience in data analytics within financial services or lending operations.

Preferred Qualifications, Capabilities, and Skills: - Earn a master’s degree in data analytics or related field with 3+ years of experience. - Demonstrate experience in financial services or lending operations.

Tools in this posting

Python
SQL
Tableau

Source

- Demonstrate 5+ years of hands-on experience in data analytics within financial services or lending operations. - Exhibit proficiency in Python, SQL, and data visualization tools (e.g., Tableau, Alteryx). - Apply machine learning techniques and operational analytics to business challenges.

Job description

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Join Data & Analytics team to shape the future of lending operations through advanced analytics and innovative BI solutions. Collaborate with business leaders to deliver actionable insights and drive operational transformation. Impact senior-level decisions and support strategic growth with robust data analysis.

Job Summary:
As an Analytics Solutions Manager in Wholesale Lending Service Data & Analytics, you drive operational excellence through advanced analytics. You partner with cross-functional teams to deliver actionable insights and optimize business processes. You support strategic decision-making by leveraging robust data analysis and business intelligence solutions.

Job Responsibilities:

Analyze large-scale operational datasets to identify trends and inefficiencies.
Develop predictive models and dashboards for lending operations and risk management.
Collaborate with business, technology, and analytics teams to translate requirements into solutions.
Monitor agent performance using quantitative metrics to enhance productivity.
Design and implement data-driven strategies for agentic AI and BI effectiveness.
Communicate findings and recommendations to senior executives clearly and professionally.
Drive process improvement initiatives using actionable data insights.
Leverage statistical techniques to support operational decision-making.
Automate reporting and analytics workflows for efficiency gains.
Ensure data integrity and quality across all analytics deliverables.

Required Qualifications, Capabilities, and Skills:

Hold a bachelor’s degree in data science, Statistics, Computer Science, or related field.
Demonstrate 5+ years of hands-on experience in data analytics within financial services or lending operations.
Exhibit proficiency in Python, SQL, and data visualization tools (e.g., Tableau, Alteryx).
Apply machine learning techniques and operational analytics to business challenges.
Solve complex problems and deliver succinct, actionable insights.
Communicate effectively with executive audiences, presenting complex data clearly.
Manage multiple projects and deadlines in a fast-paced environment.

Preferred Qualifications, Capabilities, and Skills:

Earn a master’s degree in data analytics or related field with 3+ years of experience.
Demonstrate experience in financial services or lending operations.
Lead management consulting engagements related to analytics.
Utilize advanced statistical modeling for operational improvement.
Mentor junior analysts and foster a collaborative team culture.