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Bank Data Analytics Jobs in Champaign, IL (NOW HIRING)

First Mid

CRA & Fair Banking Officer

Champaign, IL

$73K - $110K/yr

Responsible for creating; tracking; monitoring; analyzing and testing of fair lending related data and the reporting of results and exceptions to the appropriate committees and Bank Management.

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Busey Bank

Commercial Loan Coordinator

Champaign, IL · On-site

$23 - $27/hr

... Bank's loan origination system with specific attention to data integrity at the point of input ... analysis as needed. * Provides back-up support for other Loan Coordinators during vacations and ...

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Bank Data Analytics information

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.

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 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 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 does a bank data analyst do for a bank?

A bank data analyst collects, processes, and analyzes financial data to identify trends, improve decision-making, and support risk management. They use tools like SQL, Excel, and data visualization software to interpret large datasets and provide insights to enhance banking operations and compliance.

What job categories do people searching Bank Data Analytics jobs in Champaign, IL look for?

The top searched job categories for Bank Data Analytics jobs in Champaign, IL are:

What cities near Champaign, IL are hiring for Bank Data Analytics jobs?

Cities near Champaign, IL with the most Bank Data Analytics job openings:

Bank Data Analytics jobs near you

Marketing Data & Analytics Specialist

Champaign, IL • On-site

First Mid Bank and Trust
See more jobs at First Mid Bank and Trustexternal

$73K - $91K/yr

Full-time

Medical, Retirement, PTO

Re-posted 18 days ago

Job description

At First Mid, base salary is one component of our Total Rewards program. Exact compensation is determined by factors such as (but not limited to) education, skills, internal equity, and experience. This position offers additional compensation in the form of discretionary short-term incentives (i.e. bonus, incentives, and/or commission). Benefits for this role include comprehensive healthcare, well-being benefits, paid family leave as well as generous paid time off. Total Rewards also include banking perks, tuition reimbursement, an Employee Stock Purchase Plan, and a 401K plan with company match. Incentives and benefits are subject to eligibility requirements.
This is a key member of the marketing team's business strategy and works closely with CMO and Marketing Strategy roles. Entrusted with deriving actionable insights and recommendations from multiple data sources, supports strategic goals through data management, reporting, analysis, customer intelligence, segmentation, targeting, demographics and other business analytics. Owns reporting and analysis for defined business areas. Translates data into insights, identifies performance trends, and partners with Strategy and CRM to support planning and optimization. Preferably leads enterprise-level analytics, performance measurement, and insight generation. Shapes KPI frameworks, partners with senior leaders, and drives data-informed decision-making across Marketing and the business.
Responsibilities include, but are not limited to:
  • Lead analytics strategy for major segments or enterprise initiatives
  • Own reporting and analysis for assigned segments or campaigns
  • Build dashboards, performance summaries, and KPI tracking
  • Develop KPI frameworks, measurement plans, and insight models
  • Translate data into insights and recommendations
  • Improve reporting processes and data visualization
  • Partner with CRM, Strategy, and business lines to support planning and improve data maturity
  • Positions data (knowledge of our customers, products, employees, vendors, and the market at large) as a driver of messaging, budgetary spending, and tactics
  • Ensure data quality and governance across assigned domains
  • Lead analytics strategy for major segments or enterprise initiatives
  • Serves as quality assurance guide for reporting functions within the department
  • Champions data integrity and literacy required for customer-centric efforts.
  • Works with marketing leadership to define standards and parameters of business rules for accuracy, cross-functional alignment, and structural integrity of data, including the creation of process documentation, templates, and systems required for effective data management

Qualifications
Education/Experience:
  • Bachelor's or advanced degree in marketing, data administration, information systems or equivalent experience.
  • Minimum of 5+ years' experience in Analytics, Business Intelligence, or Marketing Insights roles.
  • Financial services or regulated industry experience preferred.

Skills:
  • Advanced data analytics, strategic insight development, data storytelling, KPI design and development, enterprise influence, segmentation, and cross-functional collaboration.
  • Has a working understanding of marketing functions and, in particular, the role that data and technology play in powering those functions
  • Experience with a CRM system, preferable Microsoft Dynamics, and tools comprising the marketing stack
  • Experience creating and delivering marketing metrics related to reports, including ROI
  • Experience in market trends and consumer behavior research.
  • Strong analytical, critical thinking and problem-solving skills.
  • High attention to detail and ability to meet deadlines.

Pay Range: $73,400 - $91,750 per year

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