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Data Analytics Jobs in DeForest, WI (NOW HIRING)

Act as a liaison between Technology & Analytics team and business stakeholders to maintain project alignment and deadlines * Validate assumptions and support decision-making through data Data ...

Act as a liaison between Technology & Analytics team and business stakeholders to maintain project alignment and deadlines * Validate assumptions and support decision-making through data Data ...

... Analytics team and business stakeholders to maintain project alignment and deadlinesValidate assumptions and support decision-making through dataData Enablement & Accessibility (30%)Support internal ...

Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines * Experience with data analysis and reporting * Advanced Microsoft Excel skills, including formulas ...

Translate business and project needs into clear data, analytics, and integration requirements. * Advise on feasibility and value of AI‑driven solutions. Requirements * Minimum of 4 years of ...

Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines * Experience with data analysis and reporting * Advanced Microsoft Excel skills, including formulas ...

Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines * Experience with data analysis and reporting * Advanced Microsoft Excel skills, including formulas ...

Strong proficiency in web analytics platforms (GA4 required). * Experience with tag management systems (Google Tag Manager preferred). * Experience with data visualization tools (TapClicks preferred)

Strong proficiency in web analytics platforms (GA4 required). * Experience with tag management systems (Google Tag Manager preferred). * Experience with data visualization tools (TapClicks preferred)

Conducting transportation data analytics and cost research: providing reporting and data, achieving cost reductions, and communicate strategic recommendations * Managing third-party freight payment ...

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Data Analytics information

See DeForest, WI salary details

$24

$55

$95

How much do data analytics jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for data analytics in DeForest, WI is $55.10, according to ZipRecruiter salary data. Most workers in this role earn between $44.28 and $62.40 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What job categories do people searching Data Analytics jobs in DeForest, WI look for?

The top searched job categories for Data Analytics jobs in DeForest, WI are:

What cities near DeForest, WI are hiring for Data Analytics jobs?

Cities near DeForest, WI with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in DeForest, WI as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $114,607 per year, or $55.1 per hour.

Data Analyst - WI

Madison, WI • On-site

Full-time

Posted 13 days ago


Job description

Bankers' Bank is a fast-growing financial institution with over 1.5 billion in assets committed to assisting community banks with their payment and financial service needs and 45 years of dedication to our community bank partners. In addition to specializing in providing correspondent banking products and services to community banks we also provide bank holding company loans, commercial loans, leasing, secondary mortgage products, cash letter/cash management, investment trading, safekeeping and portfolio accounting, correspondent credit services, international services, bank card products, and risk management solutions. Bankers' Bank has offices in Madison, WI, Des Moines, IA, Chicago, IL, Indianapolis, IN and Dublin, OH.
Bankers' Bank is seeking a Data Analyst to join our Madison, WI team. This role is responsible for advancing the Bank's data-driven capabilities by translating centralized data into actionable business insights. The role supports Product Owners and Business Leadership to develop innovative data solutions, perform exploratory analysis, and validate business assumptions.
Data Analysis (40%)
  • Conduct exploratory data analysis to identify trends, patterns, and segmentation opportunities across customers, products, and markets
  • Translate business questions into data-driven analysis and actionable insights
  • Collaborate with business units to understand project objectives and deliver analytical solutions
  • Act as a liaison between Technology & Analytics team and business stakeholders to maintain project alignment and deadlines
  • Validate assumptions and support decision-making through data

Data Enablement & Accessibility (30%)
  • Support internal stakeholders and users within the organization to access, interpret, and utilize data tools
  • Improve the accessibility, usability, and consistency of data tools and reporting solutions
  • Develop reports, dashboards, and other analytical tools to support business needs
  • Support training and education efforts to improve data literacy within the organization
  • Lead implementation and adoption of analytical tools and best practices

Data Governance & Quality (20%)
  • Establish and maintain data structures, quality standards, and governance practices
  • Identify data quality issues and partner with stakeholders to troubleshoot and implement improvements
  • Promote consistent use of well-managed, reliable data sources across business units

Advanced Analytics Support (10%)
  • Contribute to foundation work that supports the expansion of data science and machine learning initiatives
  • Assist in developing analytical approaches and preparing data for more advanced modeling initiatives

Ideal candidates will possess a bachelor's degree in data analytics, business, finance, statistics, computer science, or other relation field/ equivalent combination of education and experience sufficient to perform the functions of the job. Two to four years of experience in data analysis, business intelligence, analytics, or a related role. Experience working with data tools, reporting platforms, and dashboards (i.e., Zoho, Tableau, PowerBI, Domo, QuickSight, etc.). Basic knowledge of programming languages (i.e., Python) and querying languages (i.e., SQL). Familiarity with data structures, data governance, and data quality concepts. Understanding of Dataiku or other related data science/ETL tools. Ability to work a flexible schedule with off-hours/on-call support as required. Preferred qualifications include experience within the banking or financial services industry and data analytics/business intelligence certiciations (i.e., Google Data Analytics Professional, Microsoft Certified Power BI Data Analyst, CompTIA Data+, etc.).