Senior Associate, Data Analyst

Take your career to the next level! In the last few years our goal has been expansion, creating growth opportunities for many of our team members. Not only are we serious about growth, but we are also serious about helping our customers during hard financial times.

We take pride in providing solutions and offering a helping hand, not only to our customers but also to the communities we serve. As we continue to expand and grow into a national leader in consumer financing, we invite you to consider joining our team.

If you're passionate about making a meaningful impact in people's lives and bringing a personal touch to finance, we'd love to have you on board!

Ready to make an impact with data? As a Senior Associate, Data Analyst, you'll play a key role in transforming data into meaningful insights that support every area of the business. Using modern analytics, reporting, and AI-powered tools, you'll help drive smarter decisions and operational success.

Duties and responsibilities

Build new, informative dashboards and enhance existing dashboards

Enhance reporting capabilities by incorporating forecasting, trend analysis, and forward-looking performance indicators where applicable

Partner with business stakeholders to gather requirements, translate business questions into analytical solutions, and ensure reporting outputs are actionable and aligned with business objectives

Reconcile data from source to reporting presentation layer

Analyze company metrics, both methodologies and calculations, and produce recommendations for management to standardize where needed

Become SME on current and future data infrastructures

Perform ad hoc data and reporting analyses

Develop proposals for fully automated data and reporting solutions and present to management/stakeholders

Support data ownership and governance activities for the Data & Analytics team, including data definition alignment, data quality rule creation, documentation, and issue resolution for reporting assets

Support the ongoing Enterprise Data Warehouse development effort, inclusive of technical requirements analysis and user acceptance testing, as needed

Present convincing arguments to improve business processes backed by sound data and analytical methods

Minimum Qualifications Bachelor’s degree in Computer Science, Information Systems, Mathematics/Statistics, Data Science, Finance/Economics or equivalent work experience

Proven business experience in a reporting or analytics role for at least 5 years

Experience building reports using modern Business Intelligence tools

Experience using AI-enabled productivity or analytics tools to improve reporting, documentation, automation, or analytical workflows, inclusive of building skills, markdown files, and agents

Fluency in SQLFinancial Services experience

Preferred Qualifications Master’s Degree in Data Science, Data Analytics, or Statistics

Experience with Snowflake Consumer finance experience

Advanced coding experience in using programming languages like Python, R, Spark, and Scala Experience using Sigma Critical Competencies Experience working with complex data sets Understanding of loan amortization methods and schedules

Naturally curious, challenges status quoKeen attention to detail, ability to resolve issues through root cause analysis

Ability to manage multiple, competing priorities

Excellent communication skills across various levels of the organization

Self-directed, demonstrated ability to effectively work remotely

Working conditions

Regular day job. Hybrid work environment, primarily involving computer-based analytical, reporting, and stakeholder communication activities.

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