Senior Associate, Data Analyst

Regis University

Oklahoma

Hybrid

USD 60,000 - 90,000

Full time

14 days+
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Job summary

Regional Finance seeks a Senior Associate, Data Analyst to transform data into insights across the business. You will build dashboards, automate reporting, and collaborate with stakeholders to translate questions into analytics, enabling smarter decisions.

Join a national consumer finance leader with a focus on modern analytics, data warehousing, and AI-powered tooling. Hybrid work environment, strong SQL and BI capabilities required.

Qualifications

  • Bachelor's degree in computer science, information systems, mathematics/statistics, data science, finance/economics or equivalent experience.
  • 5+ years in a reporting or analytics role with BI tooling.
  • Experience building reports with modern BI tools and AI-enabled analytics workflows.
  • Fluency in SQL and finance-related data analysis.

Responsibilities

  • Build new dashboards and enhance existing ones to inform business decisions.
  • Incorporate forecasting and trend analysis into reporting where applicable.
  • Collaborate with stakeholders to translate questions into analytical solutions.
  • Reconcile data from source to presentation layer and standardize metrics.
  • Support data governance and data warehouse development efforts.

Skills

SQL
BI tools
AI tools
Data visualization
Stakeholder collaboration

Education

Bachelor's degree in CS / IS / Math / Data Science / Finance

Tools

Snowflake
Python
R
Spark
Scala
Sigma

Job description

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 SQL
  • Financial 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 quo
  • Keen 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.

If you are a job applicant who resides in the state of California, please review our California Employee Privacy Policy at the following link: https://regionalfinance.com/wp-content/uploads/2022/11/UPDATED-Employee-Privacy-Policy-11.2022.pdf

Regional is an equal opportunity employer and does not discriminate on the basis of race, color, religion, creed, national origin, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, transgender status, age, disability, genetic information, veteran status, uniform service, or any other characteristic protected by applicable law (“Protected Characteristics”). Regional’s policy of non-discrimination applies to all phases of the employment process and relationship, including, but not limited to, recruitment and selection; compensation and benefits; professional development and training; promotions and opportunities; transfers; social and recreational programs; layoff; and terminations.

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