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Bank Data Analytics Jobs in Draper, UT (NOW HIRING)

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a ... analytical roles. * Experience within Financial Services, Consumer Lending, Credit Cards, Banking ...

The role involves collaborating with stakeholders to analyze datasets, extract insights, and develop data-driven solutions to enhance banking products and services. Responsibilities : • Applies ...

Conduct effective customer trials to grow our open banking impact, supporting data specification, data processing/analysis and result generation/presentation. 5.Be highly proactive in pursuit of ...

Sr. Settlement Accountant

South Jordan, UT · On-site

$70K - $88K/yr

Merrick Bank ranks among the top 20 FDIC ® -insured credit card issuers in the U.S. and among the ... Proficiency in Microsoft Excel, including pivot tables, lookup functions, and data analysis ...

Showing results 41-60

Bank Data Analytics information

How does a bank data analytics professional typically collaborate with other departments within a financial institution?

Bank Data Analytics professionals work closely with various departments such as risk management, marketing, compliance, and IT. They translate complex data sets into actionable insights, guiding strategic decisions and helping teams understand customer behavior, detect fraud, and ensure regulatory compliance. Regular cross-functional meetings and project-based collaborations are common, allowing analytics professionals to align data-driven recommendations with business goals and operational needs. This collaborative structure enhances communication, streamlines workflow, and maximizes the value of data across the organization.

What is bank data analytics?

Bank data analytics is the process of collecting, processing, and analyzing large volumes of data generated by banking transactions and operations. It helps banks gain insights into customer behavior, detect fraud, manage risks, and improve decision-making. By leveraging advanced analytical tools and techniques, banks can enhance customer experiences, increase efficiency, and develop data-driven strategies for growth. Bank data analytics professionals work with big data, machine learning, and statistical models to extract meaningful patterns and support business objectives.

What is the difference between Bank Data Analytics vs Bank Data Analyst?

AspectBank Data AnalyticsBank Data Analyst
Required SkillsData analysis, statistical modeling, programming (SQL, Python)Data analysis, reporting, basic statistical skills
Work EnvironmentData teams, analytics departments within banksBank branches, finance departments, risk management teams
CertificationsData analytics certifications, SQL, Python coursesFinance or banking certifications, possibly data skills
Industry UsageFocus on developing analytics models and insightsFocus on interpreting data for decision-making

Bank Data Analytics involves advanced data modeling and technical skills to develop insights, while a Bank Data Analyst primarily interprets data to support banking operations. Both roles require analytical skills, but Bank Data Analytics is more technical and model-driven, whereas Bank Data Analyst focuses on reporting and data interpretation within banking environments.

What are the key skills and qualifications needed to thrive as a bank data analytics professional, and why are they important?

To thrive as a Bank Data Analytics professional, you need strong analytical skills, proficiency in statistics, and a solid background in finance or economics, often supported by a relevant degree. Expertise in data analysis tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI, as well as knowledge of data governance frameworks, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication help translate complex data insights into actionable recommendations for stakeholders. These skills are crucial for driving data-informed decisions that enhance financial performance and risk management in the banking sector.
What are popular job titles related to Bank Data Analytics jobs in Draper, UT? For Bank Data Analytics jobs in Draper, UT, the most frequently searched job titles are:
What job categories do people searching Bank Data Analytics jobs in Draper, UT look for? The top searched job categories for Bank Data Analytics jobs in Draper, UT are:
What cities near Draper, UT are hiring for Bank Data Analytics jobs? Cities near Draper, UT with the most Bank Data Analytics job openings:
Infographic showing various Bank Data Analytics job openings in Draper, UT as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Director, Data Science

CardWorks

South Jordan, UT

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


CardWorks rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

1st of 21 rated payment service providers


Job description

Become an everyday champion - and build a career where your impact fuels financial progress.


What We Do

CardWorks Financial Group is a diversified financial services platform building ethical solutions across credit, lending, and the full customer lifecycle. Through our family of companies, CardWorks Financial Group tackles the complex challenges that larger financial institutions leave behind. We're embedded throughout the credit card ecosystem as a lender, servicer, and merchant acquirer.

Who We Are

  • Merrick Bank: The bank that builds
  • CardWorks Servicing: One partner, total performance
  • Carson Smithfield: Resolution with respect

With nearly 40 years of operating history, our track record is solid: disciplined in downturns and built to accelerate in recovery. The CardWorks Financial Group companies take precise approach in complex markets, as a top three non-prime focused general purpose card issuer and a top fifteen U.S. merchant acquirer.

Our team tackles the industry's most complex credit and payment challenges. And we believe that excellent work starts with a team that feels supported, respected, and empowered to grow.

CardWorks Servicing, LLC provides end-to end operational servicing functions for credit cards, secured cards, and installment loans. We service consumer and small business loans across the credit spectrum and offers backup servicing and due diligence services to capital providers and trustees.


Founded in 1997, Merrick Bank is an FDIC-insured financial institution headquartered in South Jordan, Utah, with over $10 billion in assets. A wholly owned subsidiary of CardWorks Financial Group, Merrick Bank serves roughly five million cardmembers and more than 100,000 merchant customers, offering credit cards, recreational loans, deposit accounts, merchant services and bank sponsorships to consumers and businesses.

Carson Smithfield, LLC provides a variety of post-charge-off debt recovery services, including digital self-service, IVR, live agent, and external agency management.

Position Summary and Role Impact:

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a highly visible leadership role responsible for transforming internal, external, structured, and unstructured data into actionable business intelligence, competitive insights, and strategic recommendations. Sitting at the intersection of analytics, risk, strategy, technology, and market intelligence, this role leads the development of enterprise reporting, competitor benchmarking, AI-driven intelligence solutions, and executive decision support capabilities across CardWorks Financial Group.

This position combines advanced analytics, machine learning, Generative AI, competitive intelligence, and industry research to identify growth opportunities, anticipate market movements, evaluate competitor performance, monitor emerging risks, and support strategic decision-making. The role serves as a trusted advisor to executive leadership, business unit leaders, risk management, regulators, auditors, and board stakeholders by delivering data-driven insights that influence business strategy, portfolio performance, and market positioning.

The successful candidate will champion an AI-first and market-first mindset, leveraging machine learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-powered automation to accelerate intelligence gathering, uncover hidden opportunities, and create sustainable competitive advantage. This leader will also drive the build-out of enterprise analytics capabilities, including KPI reporting, portfolio performance measurement, market intelligence platforms, competitor monitoring solutions, and executive AI copilots.

Essential Functions:

  • Lead the development and delivery of enterprise reporting, executive dashboards, KPI scorecards, portfolio analytics, competitor benchmarking, and strategic business insights.
  • Conduct in-depth analysis of industry trends, competitive dynamics, emerging technologies, market opportunities, and regulatory developments affecting the consumer lending, credit card, banking, payments, and fintech industries.
  • Apply advanced statistical techniques, machine learning models, and predictive analytics to identify patterns, forecast market changes, and support strategic business decisions.
  • Design and implement AI-powered market intelligence and competitive research solutions that automate the collection, synthesis, and interpretation of market data.
  • Utilize Large Language Models (LLMs) to analyze and summarize earnings calls, SEC filings, analyst reports, press releases, industry publications, and competitor disclosures.
  • Develop Retrieval-Augmented Generation (RAG) solutions and AI agents that enable continuous monitoring of competitor activity, customer trends, market signals, and regulatory developments.
  • Build executive AI copilots that support strategic planning, competitive analysis, and business decision-making.
  • Integrate external market, economic, customer, and industry datasets with internal business performance data to generate comprehensive insights.
  • Analyze portfolio performance across lending products, identifying opportunities related to growth, profitability, customer behavior, risk management, and operational efficiency.
  • Partner with business, product, marketing, digital, risk, technology, and finance leaders to translate analytical findings into actionable business recommendations.
  • Support board presentations, regulatory requests, audit reviews, second-line risk reviews, and executive strategic initiatives through rigorous analysis and communication.
  • Prepare audit-ready analyses and documentation to support regulatory, compliance, and governance requirements.
  • Present complex analytical findings and strategic recommendations to executive leadership in a clear, concise, and compelling manner.
  • Foster a culture of innovation, analytics excellence, data-driven decision-making, and AI adoption across the organization.

Requirements for Success:

Education & Experience:

  • Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, Business Analytics, Financial Engineering, or related quantitative discipline required; Master's degree preferred.
  • 5+ years of experience in Business Analytics, Data Science, Competitive Intelligence, Market Research, Strategy Analytics, Risk Analytics, or related analytical roles.
  • Experience within Financial Services, Consumer Lending, Credit Cards, Banking, Payments, or FinTech industries required.
  • Strong understanding of lending economics, including interest income, interchange, fees, charge-offs, delinquency, portfolio performance, and risk management frameworks.
  • Proven experience applying machine learning, artificial intelligence, and advanced analytics to solve business problems and generate strategic insights.
  • Experience working with Generative AI, LLMs, RAG architectures, AI agents, and market intelligence automation solutions preferred.
  • Strong proficiency in SQL, Python, Snowflake, AWS, and modern analytics platforms.
  • Experience with Power BI, PowerPoint, SAS, R, or similar analytical and visualization tools preferred.
  • Demonstrated ability to communicate complex technical findings and strategic recommendations to executive leadership, regulators, auditors, and non-technical stakeholders.
  • Highly analytical self-starter with the ability to manage multiple priorities and deliver results in a fast-paced, highly regulated environment.

Leadership Competencies

  • AI-first and market-first mindset.
  • Strategic thinker with strong business acumen.
  • Executive presence and storytelling capability.
  • Strong stakeholder management and influencing skills.
  • Curiosity-driven approach to problem solving and innovation.
  • Ability to challenge assumptions with data and evidence.
  • Commitment to driving measurable business outcomes through analytics and intelligence.

Ideally, the qualified candidate will work at the following location(s): South Jordan, UT, Woodbury, NY, Wilmington, DE. A hybrid work model or fully remote model can be considered based on hiring manager decision and priorities of the role.

The salary range for this position, if located in NY Metro/NY State is $146,409 to $162,676. However, please note that the salary range will vary for other geographic areas.

#INDHP

Our Employee Value Proposition

  • Competitive Pay, including a Bonus Target or Variable Pay Incentive Program
  • Benefits Package -Medical, Dental, and Vision (plus much more)
  • 401(k) Plan with Company Match
  • Short- & Long-Term Disability
  • Wellness Programs
  • Group Life and AD&D Insurance
  • Paid Vacation, Sick Days and bank Holidays
  • Employee Engagement Activities including Employee Appreciation Day, DEI Employee Resource Groups, Corporate Social Responsibility, Service Recognition

We offer a total rewards package comprised of a competitive base rate of pay, variable pay incentive programs based on the role, and a comprehensive benefit suite. Offered rates of pay are determined based on job-related knowledge, relevant experience, skills, certifications, and geographic location.


We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to age, race, color, sex, or gender identity/expression (including pregnancy, childbirth, transgender status, or sexual orientation), religion or creed, ancestry, citizenship, national origin, disability, military or veteran status, marital status, genetic information, or any other characteristic protected by applicable law.

We do not tolerate discrimination, harassment, or retaliation. Employment decisions are based solely on qualifications, merit, and business needs. Everyone is welcome here, and we hire based on your ability to do the job, not any protected characteristics.

If you need help or reasonable accommodation during the application or hiring process, please let your TA Partner know.



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