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Director Data Visualization Jobs in Shakopee, MN

Sr. Financial Analyst

Wayzata, MN · On-site

$90K - $105K/yr

Experience creating clear high-level presentations, especially for the Board of Directors * Strong ... Experience in data visualization and dashboarding tools CONFIDENTIAL INFORMATION: All information ...

About the Role Under the direction of the Associate Director, Supply Chain Planning, the Supply ... Experience with data visualization tools such as Tableau, Power BI, or Sigma. * Advanced Microsoft ...

You will balance direct contribution to BI and analytics development with the responsibilities of ... Advanced SQL and Power BI expertise, including data modeling, visualization, and performance ...

Senior Consultant

Minneapolis, MN · On-site

$119K - $198K/yr

... data visualization, and predictive modeling tools to produce analysis and algorithms that help ... If you require a reasonable accommodation to participate in the recruiting process, please direct ...

Showing results 41-60

Director Data Visualization information

See Shakopee, MN salary details

$57.7K

$117K

$172.6K

How much do director data visualization jobs pay per year?

As of Aug 17, 2026, the average yearly pay for director data visualization in Shakopee, MN is $116,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $131,500.00 per year, depending on experience, location, and employer.

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

AspectDirector Data VisualizationData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; extensive experience in data visualization toolsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis and visualization tools
Work EnvironmentLeadership role overseeing visualization teams, strategic planning, and project managementAnalyzing data sets, creating reports, and supporting decision-making processes
Employer & Industry UsageUsed in tech, finance, marketing, and large organizations for strategic insightsCommon across various industries for data interpretation and reporting

The main difference is that a Director Data Visualization leads visualization teams and sets strategic goals, while a Data Analyst focuses on analyzing data and creating visual reports. The director role involves higher-level management and planning, whereas the analyst role is more hands-on with data processing and reporting tasks.

Managing Consultant, Data Engineer - Minneapolis

Thought Logic Consulting

Minneapolis, MN

$115K - $138K/yr

Full-time

Re-posted 14 days ago


Job description

Description
Thought Logic Consulting is a functionally-led, digitally enabled consultancy that exists at the intersection of business transformation and technology innovation. We partner with clients to solve their most complex business problems and we do it in a highly collaborative, local-market approach, giving clients senior-level attention and giving our consultants room to grow, lead, and build.

***Candidates must currently reside in or live within a commutable distance to the Minneapolis Office/Twin Cities Metro ****

The Role
We are looking for a technically skilled and motivated Data Engineer with 7-12 years of experience to join our growing Data & Analytics team. In this role, you'll work closely with cross-functional teams to build modern data pipelines, develop scalable solutions, and help clients unlock insights from their data. You’ll be supported by experienced architects and consultants while having the opportunity to grow your technical and consulting skills in a collaborative, client-facing environment.

What You'll Do
  • Build and maintain scalable, reliable data pipelines using tools like Azure Data Factory, AWS Glue, or Palantir Foundry
  • Develop ETL/ELT processes to transform and prepare raw data for reporting, analytics, and downstream applications
  • Collaborate with team members and clients to gather requirements, integrate data sources, and ensure high data quality
  • Assist in the development and optimization of data models and cloud-based data platforms (e.g., Snowflake, Databricks, Redshift)
  • Support the creation of dashboards and data visualizations using tools like Power BI or Tableau
  • Participate in testing, documentation, and deployment of data solutions to ensure performance and reliability
  • Engage in project workstreams alongside more senior team members, gaining exposure to client interaction and delivery best practices
  • Learn and apply modern data engineering and cloud practices in a variety of industries and use cases

Who You'll Work With
  • A team of collaborative, experienced consultants focused on solving complex business problems through data
  • Clients across industries who are looking to modernize their data platforms and make more informed decisions
  • Colleagues who prioritize curiosity, humility, and hands-on problem-solving
    A supportive environment where ongoing learning and mentorship are central to your professional growth

What You'll Bring
  • 7-12 years of professional experience in data engineering, analytics, or a related technical role
  • Proficiency in SQL and working knowledge of Python or another scripting language
  • Hands-on experience with ETL/ELT processes and modern data tools such as Azure Data Factory, AWS Glue, Snowflake, or Databricks
  • Familiarity with cloud environments (AWS, Azure, Palantir Foundry or similar) and data modeling concepts
  • Understanding of data integration, quality, and performance tuning principles
  • Ability to work collaboratively on fast-paced projects with a mix of technical and non-technical stakeholders
  • Strong problem-solving and communication skills
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
  • Ability to legally work for any employer in the US without sponsorship
Bonus Points if You Have
  • Experience with tools like Apache Airflow, dbt, or Palantir Foundry
  • Familiarity with big data technologies such as Spark, Kafka, or Redshift
  • Exposure to dashboarding and visualization tools like Power BI or Tableau
  • Certifications in cloud platforms or data engineering technologies
  • Previous consulting firm experience

Why Thought Logic
  • Work on transformations that matter, not slide decks that sit on shelves
  • Real responsibility and ownership over how work gets delivered and how clients experience us
  • Direct access to firm leadership and influence over how we grow and evolve
  • A culture that values depth over optics, outcomes over activity, and people over process
  • The chance to grow your career in a firm that's scaling thoughtfully and intentionally, not just chasing growth for growth's sake