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Data Analytics Jobs in Hudson, WI (NOW HIRING)

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet ... Provide end-to-end analytics support, oversight and guidance for analytical initiatives including ...

Deloitte

M&A Data Analytics Manager

Minneapolis, MN

You will be using business intelligence tools and your data analytic skillset to provide meaningful insights to our clients that are crucial to their deal investment hypothesis. You will leverage ...

Collabera

Data Analyst

Eagan, MN · On-site

Data gathering and analysis as part of assigned tasks and projects * Creating data visualization as part of assigned tasks and projects * Assist Editorial Service teams with market analysis and ...

Collabera

Data Analysis

Eagan, MN

Experiencein a Business Analyst or related role involving data analysis StrongExcel skills including charting, Pivot tables, statistical and data cleanupfunctions BasicPowerPoint, Word, Outlook ...

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Showing results 21-40

All JobsData Analytics JobsData Analytics Jobs in Hudson, WI

Data Analytics information

See Hudson, WI salary details

$25

$56

$97

How much do data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics in Hudson, WI is $56.60, according to ZipRecruiter salary data. Most workers in this role earn between $45.48 and $64.13 per hour, depending on experience, location, and employer.

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, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

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.

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 jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

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.

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.

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 job categories do people searching Data Analytics jobs in Hudson, WI look for? The top searched job categories for Data Analytics jobs in Hudson, WI are:
What cities near Hudson, WI are hiring for Data Analytics jobs? Cities near Hudson, WI with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Hudson, WI as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $117,733 per year, or $56.6 per hour.

Senior Director, Enterprise Data & Analytics

Graco, Inc.

Minneapolis, MN • On-site

Full-time

Medical, Dental, Retirement

Re-posted 3 days ago

Graco rating

8.5

Company rating: 8.5 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

82nd of 487 rated machine equipment manufacturers

Job description

Graco manufactures and markets premium equipment to move, measure, control, dispense and spray a wide variety of fluid and powder materials. What does that mean? Well, we pump peanut butter into your jar, and the oil in your car. We glue the soles of your shoes, the glass in your windows and the screen on your phone. We spray the finish on your vehicle, coatings on your pills, the paint on your house and texture on your walls. Graco is part of your daily life.
This role is currently based at our Minneapolis office and will transition to our new headquarters in Dayton, MN, in 2027.
The Senior Director, Enterprise Data & Analytics leads Graco's enterprise data strategy, ensuring the business operates from trusted, consistent and well-governed core data. The position sets enterprise-wide data standards, and defines how data is owned, governed, structured and used across the organization to support reliable operations, informed decision-making and scalable growth. A core focus of this position is Master Data Management (MDM), focused on defining the strategy, architecture, platforms and delivery of a multi-year roadmap that establishes authoritative, governed records across Graco's critical business data domains. With a strong focus on embedding data foundations directly into core business processes, the individual in this position ensures analytics and AI initiatives are built on high-quality enterprise data and deliver measurable business impact. Additionally, this position partners across business and technology teams to establish data standards, improve data accessibility, quality, and reuse, while also ensuring our data capabilities effectively support Graco's operations, customers and long-term growth.
What You Will Do At Graco
Enterprise Data Foundations & Strategy
  • Lead the enterprise data strategy with a foundation-first mindset-prioritizing clean, reliable core data over stand-alone analytics solutions
  • Define how critical enterprise data (e.g., customer, product, pricing, installed base, supplier) is created, standardized, governed and reused across the company
  • Establish clear enterprise data standards, definitions and systems of record so teams operate from consistent and trusted data
  • Prioritize and drive resolution of high-impact data quality issues that affect operations, revenue and customer experience (e.g., pricing discrepancies, order-to-cash errors, duplicate customers)

Master Data Management Strategy (MDM) & Delivery
  • Establish Graco's MDM vision and multi-year roadmap, defining which data domains are managed, the systems that own them, the fidelity standards applied, and the business stakeholders accountable for their governance
  • Define the MDM operating model and architecture with deliberate, documented decisions aligned to Graco's enterprise applications and data platforms
  • Lead MDM delivery as an enterprise program: engage stakeholders in data stewardship, match/merge rules, hierarchy design, and exception management; with an initial focus on Product and Customer MDM delivery
  • Measure MDM program health with visible, business-relevant KPIs such as: Golden record completeness rate attribute fill rate by domain, duplicate rate, re-dirty rate, match confidence, stewardship SLA compliance, and downstream system adoption

Data Governance & Ownership
  • Establish a data governance model that embeds accountability in the business and prevents re-dirtying of enterprise data
  • Ensure clear business ownership for data quality and definitions, with stewardship embedded in functions - even within an IT-owned data operating model
  • Define decision rights for data standards and exceptions, with governance that is lightweight, practical, and aligned to business cadence
  • Embed data quality controls directly into core business workflows (CRM, ERP, etc.), emphasizing front-end prevention over downstream cleanup

Data Platforms, Analytics & Enablement
  • Ensure data platforms and architecture support trusted foundations, reducing duplication, manual reconciliation and conflicting reports
  • Enable analytics, reporting and AI only where underlying data is fit for purpose, scalable and aligned to business priorities
  • Partner with business leaders to apply clean data to a small set of high-value use cases, translating data improvements into commercial, operational and digital impact
  • Ensure analytics and AI practices comply with privacy, security, regulatory, and risk management requirements in partnership with IT, Legal and Cybersecurity

Team Leadership and Financial Management
  • Lead, mentor, manage and staff a team of leaders, ensuring alignment with organizational goals and promoting a culture of leadership excellence.
  • Develop and implement strategies for talent acquisition and management, succession planning, and leadership development to build a pipeline of future leaders
  • Drive team performance by setting clear goals, providing ongoing feedback, and facilitating professional growth opportunities
  • Establish, manage, and be accountable for the annual Data, Analytics and MDM strategy budget, ensuring effective allocation of resources and alignment with organizational strategic objectives.

What You Will Bring to Graco
  • Bachelor's degree in IT/IS, Computer Science, Statistics, Business (data/IS focus), or related field
  • 12+ years of experience leading or owning enterprise data strategy, including data ownership, governance, and standards across multiple functions
  • Strong understanding of how core enterprise data (customer, product, order, supply chain, finance) supports daily operations and decision making.
  • Demonstrated ability to partner with business leaders to improve how data is captured, managed, and embedded into business processes.
  • Experience establishing practical data governance models that are adopted and used by the organization.
  • Ability to prioritize data initiatives based on business impact, risk reduction, and reuse across the enterprise.
  • Working knowledge of modern data platforms and architectures, with the ability to guide strategy and investment decisions.
  • Experience leading across functions and aligning business and technology teams without direct authority.
  • Strong communication skills and the ability to explain data concepts clearly and practically.
  • Experience building, leading, and developing teams, including setting goals and managing budgets.

Accelerators
  • Industrial Manufacturing experience
  • Experience supporting data strategy in a complex, global, or multi-system environment.
  • Familiarity with cloud-based data platforms, integration approaches, and enterprise reporting environments.
  • Exposure to data privacy, security, and regulatory considerations impacting enterprise data management.
  • Background working closely with IT, digital, or technology organizations on enterprise initiatives.

#LI-HYBRID
Applicants must be legally authorized to work in the United States. This role is not eligible for immigration sponsorship now or in the future (e.g., H-1B, TN, F-1 OPT).
At Graco, you truly make a difference. Your unique talents contribute to our organizational growth and future. Not only do you make a difference, but Graco's culture empowers employees to create their own career path. Whether you choose to advance within your current department or explore new opportunities in different divisions, you have the ability to build your future. Our managers are here to provide support and guidance as you continue to grow within your career.
Graco has excellent opportunities available to individuals who want to be part of a fast-moving, growing company that is committed to quality, innovation and solving fluid handling problems for our customers. Graco is proud to be named a Best Place to Work by Fortune Magazine in 2016, 2018, 2019, 2021 & 2022. Graco offers attractive compensation, benefits and career development opportunities. Graco's comprehensive benefits include medical, dental, stock purchase plan, 401(k), tuition reimbursement and more.
Our company uses E-Verify to confirm the employment and eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.
The base pay range for this position is listed below, exclusive of fringe benefits or other compensation. If you are hired, your final base hourly rate will be determined based on factors such as geographic location, skills, competencies, education, and/or experience. In addition to those factors, we will also consider internal equity of our current employees. Please keep in mind that the range provided is the full base salary range for the role. Hiring at or near the maximum of the range would not be typical to allow for future and continued salary growth.
$141,800.00 - $248,200.00

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