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Bank Data Analytics Jobs in Colorado (NOW HIRING)

A. and Armed Forces Bank, N.A.-rely on experienced commercial banking professionals to help clients ... Manages calling program and pipeline reporting using Salesforce while maintaining client data as ...

A. and Armed Forces Bank, N.A.-rely on experienced commercial banking professionals to help clients ... Manages calling program and pipeline reporting using Salesforce while maintaining client data as ...

A. and Armed Forces Bank, N.A.-rely on experienced commercial banking professionals to help clients ... Manages calling program and pipeline reporting using Salesforce while maintaining client data as ...

A. and Armed Forces Bank, N.A.-rely on experienced commercial banking professionals to help clients ... Manages calling program and pipeline reporting using Salesforce while maintaining client data as ...

A. and Armed Forces Bank, N.A.-rely on experienced commercial banking professionals to help clients ... Manages calling program and pipeline reporting using Salesforce while maintaining client data as ...

A. and Armed Forces Bank, N.A.-rely on experienced commercial banking professionals to help clients ... Manages calling program and pipeline reporting using Salesforce while maintaining client data as ...

Data Manager

Englewood, CO · On-site

$130/hr

Who we are: Cornerstone Servicing, a division of Cornerstone Capital Bank, is a best-in-class ... Manage and mentor a distributed team of 7-8 data engineers and analysts. * Oversee development and ...

Senior IT Auditor

Denver, CO · On-site +1

$96K - $127K/yr

Compliance, Legal, Banking Regulatory, Information Technology, Information Security, Data Analytics, Digital Banking. Enterprise Risk Management, Credit risk, Market risk, Operational risk, Model ...

... data, including credit reports, appraisals, and financial records Collaborating with Credit ... Experience in commercial banking, credit analysis, or a related financial field Strong relationship ...

... analytics and reporting for Alpine Bank's loan portfolio to aid in strategic initiatives and risk ... Collaborates with other departments and stakeholders to continually enhance data quality.

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 job categories do people searching Bank Data Analytics jobs in Colorado look for?

The top searched job categories for Bank Data Analytics jobs in Colorado are:

Business Analyst - Customer Acquisition

BillGO, Inc.

Fort Collins, CO • On-site

$89K - $127K/yr

Full-time

Medical, Retirement

Re-posted 5 days ago


Job description

Business Analyst – Customer Acquisition  

BillGO is seeking a Business Data Analyst, Acquisition to drive data-informed decision-making across our BGX performance marketing efforts. This role will focus on customer acquisition analytics, helping optimize campaign performance, improve funnel efficiency, and uncover actionable insights that fuel scalable growth. 

You’ll partner closely with marketing, product, and growth teams to analyze performance across channels, evaluate targeting strategies, and continuously improve how we acquire new customers. 

 Why This Role Matters 

This role is critical to BillGO’s growth because it ensures that customer acquisition investments are efficient, scalable, and data-driven. By turning complex performance marketing data into actionable insights, this role directly impacts how effectively we attract and convert new customers while optimizing spend. 

Without this role, acquisition efforts risk becoming fragmented or inefficient; with it, BillGO gains clear visibility into what drives growth, enabling smarter decisions, faster experimentation, and stronger returns on marketing investment. 

 What You’ll Do 

Performance Marketing Analytics 

  • Analyze end-to-end acquisition funnel performance (impressions → clicks → conversions → activation).  

  • Monitor and report on campaign performance across channels (paid search, paid social, display, affiliates, etc.).  

  • Identify trends, anomalies, and opportunities to improve efficiency (CAC, conversion rates, ROI).  

Campaign Optimization & Insights 

  • Develop insights to optimize audience targeting, segmentation, and channel mix.  

  • Evaluate and recommend improvements to creative, messaging, and landing page performance.  

  • Partner with marketing teams to design and measure A/B tests and experiments.  

Customer Acquisition Strategy 

  • Build models and analyses to understand customer acquisition cost (CAC), lifetime value (LTV), and payback periods.  

  • Support forecasting and scenario planning for acquisition growth.  

  • Identify high-value customer segments and opportunities to scale efficiently.  

Data & Reporting 

  • Create and maintain dashboards and reporting frameworks for acquisition KPIs.  

  • Ensure data accuracy and consistency across marketing platforms and internal systems.  

  • Translate complex data into clear, actionable insights for stakeholders.  

Cross-Functional Collaboration 

  • Work closely with BGX performance marketing, product, and growth teams to align on goals and metrics.  

  • Partner with data engineering and analytics teams to improve data pipelines and tracking.  

  • Communicate findings and recommendations to both technical and non-technical audiences. 

 What You Bring 

  • Strong analytical and problem-solving skills 

  • 5+ years of experience in data analytics, preferably in performance marketing and customer acquisitions 

  • Strong proficiency with data analysis tools and experience working with large datasets  

  • Experience with marketing analytics platforms (e.g., Google Ads, Meta, attribution tools) 

  • Experience with cohort analysis and segmentation 

  • Ability to leverage AI tools (e.g., Claude, ChatGPT) as a force multiplier to improve speed, quality, and impact of work. 

Preferred 

  • Experience in fintech, payments, banking, or lending 

  • Experience with customer experience mapping 

  • Experience with process engineering frameworks (LEAN, Six Sigma, etc.) 

 Compensation 

We offer a competitive compensation package, including: 

  • Base salary ($89,500-$127,000)  

  • Performance incentive 

  • Equity opportunities 

  • Comprehensive health, retirement, and lifestyle benefits 

This role is about more than compensation, it’s about the opportunity to transform how small businesses thrive in the digital economy.