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Data Visualization Lead Jobs in Minnesota (NOW HIRING)

Data Engineer

New Brighton, MN · On-site

$121K - $145K/yr

Lead and participate in data governance and quality initiatives, adhering to best practices and ... Strong experience with Power BI for data visualization. * Experience with data integration tools (e ...

Data Engineer

Saint Paul, MN · On-site

$70 - $80/hr

... Lead and participate in data governance and quality initiatives, adhering to best practices and ... visualization. • Experience with data integration tools (e.g., Azure Data Factory, SSIS, or ...

Senior Process Owner, RDC Design Team

Minneapolis, MN · On-site

$108K - $140K/yr

Lead training, field implementation, and problem solving through run-state handoff * Define process ... Experience with data extraction, data visualization, simulation, Miro, Smartsheet, or similar tools ...

Senior HEMA Analyst - IO&E

Maple Grove, MN · Hybrid

$90K - $119K/yr

... data standards, and visualization frameworks across IO&E, ensuring methodological rigor, reproducibility, and alignment with corporate HEMA standards Lead analytic inputs into reimbursement ...

Showing results 21-40

Data Visualization Lead information

See Minnesota salary details

$30

$68

$93

How much do data visualization lead jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data visualization lead in Minnesota is $68.64, according to ZipRecruiter salary data. Most workers in this role earn between $59.33 and $76.97 per hour, depending on experience, location, and employer.

What is a data visualization lead?

A Data Visualization Lead is responsible for overseeing the design and implementation of visual representations of data within an organization. They work closely with data analysts, engineers, and business stakeholders to translate complex data sets into interactive charts, dashboards, and reports that inform decision-making. In addition to technical expertise in data visualization tools and programming languages, they provide leadership to a team, set best practices, and ensure that data visualizations are accurate, accessible, and aligned with business goals.

What are the key skills and qualifications needed to thrive as a data visualization lead?

To thrive as a Data Visualization Lead, you need strong analytical skills, expertise in data visualization principles, and experience with data analysis, often supported by a degree in computer science, statistics, or a related field. Proficiency with tools like Tableau, Power BI, D3.js, and familiarity with data management systems are typically required. Exceptional communication, storytelling, and leadership abilities help translate complex data into actionable insights for diverse audiences. These skills are crucial for driving data-informed decision-making and effectively leading visualization projects that support organizational goals.

How does a data visualization lead typically collaborate with cross-functional teams to deliver impactful visual analytics solutions?

A Data Visualization Lead works closely with data scientists, business analysts, and stakeholders to translate complex datasets into clear, actionable visualizations. They often facilitate workshops to understand business requirements and iterate on design prototypes based on feedback. Regular collaboration ensures alignment on project goals and helps maintain data accuracy and usability. Effective communication and adaptability are key, as the role bridges technical and non-technical team members to deliver solutions that drive decision-making.

What is the difference between Data Visualization Lead vs Data Analyst?

AspectData Visualization LeadData Analyst
Required CredentialsBachelor's or higher in Data Science, Analytics, or related field; proficiency in visualization toolsBachelor's in Data, Statistics, or related field; strong analytical skills
Work EnvironmentLeads visualization projects, collaborates with teams, oversees visualization standardsAnalyzes data, creates reports, supports decision-making
Employer & Industry UsageTech companies, finance, marketing, where data storytelling is keyBroadly used across industries for data analysis and reporting

The Data Visualization Lead focuses on managing visualization projects and leading teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills and familiarity with visualization tools, but the Lead emphasizes leadership and strategic visualization development.

What cities in Minnesota are hiring for Data Visualization Lead jobs?

Cities in Minnesota with the most Data Visualization Lead job openings:

Infographic showing various Data Visualization Lead job openings in Minnesota as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $142,771 per year, or $68.6 per hour.

Corporate Trsy Analyst Lead

Minneapolis, MN • On-site

$81K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 10 days ago


Old National Bank rating

8.0

Company rating: 8.0 out of 10

Based on 40 frontline employees who took The Breakroom Quiz


Job description

Overview
Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving.
We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.
Responsibilities
The Corporate Treasury Analytics Lead is responsible for sourcing and integrating data from multiple internal and external systems and automating recurring process to support to support the bank's treasury functions. This role involves building tools for liquidity forecasting, interest rate risk analysis, capital planning, and balance sheet optimization. The lead collaborates with Treasury, Risk, Finance, and Technology teams to deliver data-driven insights and ensure compliance with regulatory requirements.
Salary Range
The salary range for this position is $81,700 - $165,100 per year plus bonus. The base salary indicated for this position reflects the compensation range applicable to all levels of the role across the United States. Actual salary offers within this range may vary based on a number of factors, including the specific responsibilities of the position, the candidate's relevant skills and professional experience, educational qualifications, and geographic location.
Duties and Responsibilities:
  • Source, extract, and consolidate data from external sources and core treasury systems.
  • Build and maintain internal data sources and curated datasets in Databricks ensuring Treasury teams have centralized, high-quality data to support models.
  • Develop SQL queries, APIs, and ETL processes to move and transform large datasets.
  • Design and implement automated workflows (Python, SQL, Power Automate) to streamline treasury reporting and reduce manual processes.
  • Collaborate with cross-functional teams to integrate analytics into treasury processes and reporting.
  • Serve as a bridge between Treasury and data engineering teams by developing reusable data products in Databricks.
  • Drive innovation in analytics platforms and data visualization tools.
  • Ensure model governance, documentation, and validation in line with regulatory expectations.
  • Support stress testing and regulatory submissions (e.g., CCAR, DFAST, LCR, NSFR).
Key Competencies
  • Strong understanding of treasury functions and financial risk management.
  • Proficiency in programming languages and tools (e.g., Python, R, SQL, MATLAB).
  • Experience with data visualization platforms (e.g., Tableau, Power BI).
  • Excellent communication and stakeholder engagement skills.
  • Ability to manage multiple projects and deliver high-quality results.
Qualifications and Education Requirements
  • Bachelor's degree in Analytics, Finance, Mathematics, Statistics, or related field.
  • 8+ years of experience in analytics, treasury, or risk management within a financial institution.
  • Professional certifications such as CFA, FRM, or CQF are advantageous.
  • Strong knowledge of regulatory frameworks and model governance standards.

Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles.
As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law.
We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, SVP, to fill a specific position.
Our culture is firmly rooted in our core values.
We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical.
We are Old National Bank. Join our team!

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