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Systems Analyst Data Visualization Jobs in Minnesota

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

Advanced data visualization skills; building interactive, executive ready dashboards in tools like Power BI, Looker, Tableau, etc. * Solid problem solving, analytical skills, data curiosity, data ...

LivaNova

HR Data Analyst, Talent Analytics

Minneapolis, MN · Remote

$90K - $106K/yr

Compile, structure, and analyze data from HRIS, payroll and Finance systems to develop insights and ... Participate actively in HR Business Intelligence including project intake, visualization tools ...

Target Brands, Inc.

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

Advanced data visualization skills; building interactive, executive ready dashboards in tools like Power BI, Looker, Tableau, etc. * Solid problem solving, analytical skills, data curiosity, data ...

TriOptus LLC

Sr. Data Analyst | TELECOMMUTE

Minneapolis, MN · On-site +1

$89K - $113K/yr

Advanced level of experience in ETL for visualization tools: complex formulas, complex inner and ... Data Analysis Basic Qualification : Additional Skills : Data Analyst This is a high PRIORITY ...

Rocket55 LLC

Data Analyst

Minneapolis, MN · Hybrid

... CRM systems. * Build, maintain and optimize dashboards and reporting environments that track ... Advanced knowledge of Google Analytics (GA4) and data visualization platforms such as Data Studio ...

Huntington

Lead Business Systems Analyst

Minnetonka, MN · On-site +1

$70K - $140K/yr

Bachelor's Degree or 4+ additional years of equivalent experience. * 7+ years of related experience working as a Business Systems Analyst, Business Analyst, Data Analyst, or related work. * 2+ years ...

Huntington

Lead Business Systems Analyst

Minneota, MN · On-site +1

$70K - $140K/yr

Bachelor's Degree or 4+ additional years of equivalent experience. * 7+ years of related experience working as a Business Systems Analyst, Business Analyst, Data Analyst, or related work. * 2+ years ...

Bayer Built Woodworks

IS Systems Analyst

Belgrade, MN · On-site

$65K - $75K/yr

The Systems Analyst works as part of the Systems Development Group within the Information Systems ... Developing automation and tooling to reduce manual processes and improve data accuracy and ...

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Systems Analyst Data Visualization information

How does a Systems Analyst Data Visualization typically collaborate with other departments to deliver effective data solutions?

A Systems Analyst Data Visualization often works closely with stakeholders from various departments, such as marketing, finance, and operations, to understand their data needs and business objectives. They facilitate communication between IT teams and end users, ensuring that visualization tools and dashboards align with organizational goals. Regular meetings, requirement-gathering sessions, and feedback loops are common practices to refine and optimize data solutions. This collaborative approach not only enhances the quality of insights provided but also fosters a shared understanding of data-driven decision-making across the company.

What does a Systems Analyst Data Visualization do?

A Systems Analyst Data Visualization specializes in analyzing business data and creating visual representations, such as charts, dashboards, and reports, to help organizations understand complex information and make data-driven decisions. They work with stakeholders to identify requirements, gather and process data, and use tools like Tableau, Power BI, or Python libraries to design effective visuals. Their role bridges the gap between IT and business teams, ensuring that data insights are accessible, accurate, and actionable.

What are the key skills and qualifications needed to thrive as a Systems Analyst Data Visualization, and why are they important?

To thrive as a Systems Analyst Data Visualization, you need a strong background in data analysis, information systems, and visualization techniques, typically supported by a degree in computer science, information technology, or a related field. Familiarity with tools such as Tableau, Power BI, SQL, and data modeling software is usually required, along with knowledge of data management systems. Strong analytical thinking, attention to detail, and effective communication skills help professionals translate complex data into actionable insights for stakeholders. These skills are crucial for delivering clear, data-driven solutions that support business decision-making and drive organizational success.

What is the difference between Systems Analyst Data Visualization vs Business Intelligence Analyst?

AspectSystems Analyst Data VisualizationBusiness Intelligence Analyst
Required CredentialsBachelor's in IT, Computer Science, or related field; certifications in data visualization tools (e.g., Tableau, Power BI)Bachelor's in Business, IT, or related; certifications in BI tools and data analysis
Work EnvironmentIT departments, consulting firms, tech companiesCorporate offices, consulting firms, finance, healthcare
Employer & Industry UsageTech, finance, healthcare, governmentBusiness sectors, finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding roles involving data visualization within systems analysisAnalyzing business data to inform decisions

While both roles involve working with data, Systems Analyst Data Visualization focuses on creating visual representations of data to support system analysis, whereas Business Intelligence Analysts interpret data to guide business strategies. The roles often overlap in skills and tools but differ in their primary focus and application.

What cities in Minnesota are hiring for Systems Analyst Data Visualization jobs? Cities in Minnesota with the most Systems Analyst Data Visualization job openings:
Systems Analyst Data Visualization jobs near you
Systems Analyst (Technical)

Systems Analyst (Technical)

Wise Skulls

Minneapolis, MN • On-site

Contractor

Posted 9 days ago

Job description

Title: Systems Analyst (Technical)
Location: Minneapolis, MN (Onsite)
Duration: 6+ months
Implementation Partner: Infosys
End Client: To be disclosed
JD:
  • We are seeking a technically-oriented Systems Analyst to support the continued evolution of our Drug Cost Estimator (DCE) and Provider Search (PS) digital products.
  • This role acts as the technical backbone of the product team, partnering with Product Managers, Business Analysts, Product Owners, and Engineering to translate complex business and regulatory requirements into clear, system-level specifications.
  • The Systems Analyst will focus on deep system behavior, data flows, and integrations, ensuring that highly complex logic-such as drug pricing, benefit coverage, and provider data-is accurately designed, implemented, and maintained at scale.

Key Responsibilities
System-Level Requirements & Technical Decomposition:
  • Translate business requirements into detailed system requirements, technical user stories, and implementation-ready specifications.
  • Analyze end-to-end system behavior across DCE and PS, including front-end inputs, back-end services, APIs, and downstream dependencies.
  • Define complex business logic at a system level, including:
    • Drug pricing and cost calculations (deductibles, tiers, phases).
    • Eligibility and plan benefit logic.
    • Provider search filtering, ranking, and network inclusion logic.
  • Ensure requirements are complete, consistent, and aligned to business intent.

Data Flows, APIs & Integration Design:
  • Map and document data flows across multiple systems, including: Pharmacy pricing engines, formulary data, and benefit services. (DCE). Provider directories, network data, and search/indexing services. (PS)
  • Define API interactions, service orchestration, and data mappings between systems.
  • Identify data dependencies, transformation rules, and edge cases that impact user-facing outputs.
  • Ensure data accuracy and traceability from source systems to user experience.

Partnership with Product & Business Analysis:
  • Complement Business Analysts by taking requirements to a deeper technical level. (the "how," not just the "what")
  • Partner with Product Managers and Product Owners to: Clarify feasibility and constraints. Identify technical trade-offs early.
  • Participate in feature refinement and backlog grooming to ensure engineering-ready stories.

Engineering Enablement & Agile Delivery:
  • Serve as the primary liaison between product and engineering, ensuring shared understanding of system behavior.
  • Create technical artifacts such as Data flow diagrams , Sequence diagrams and Service interaction models.
  • Support engineering teams with Requirement clarification, Data mapping and logic validation.
  • Ensure features are fully defined, testable, and aligned with system architecture before development.

Testing, Validation & Accuracy Assurance:
  • Partner with QA to define test scenarios aligned to system logic and edge cases.
  • Validate that outputs (e.g., drug cost calculations, provider results) are Accurate , Consistent and Compliant with business rules
  • Support UAT readiness and defect triage, particularly where issues stem from data or system logic.

Production Support & Continuous Improvement:
  • Investigate and resolve complex production issues, including Incorrect drug pricing or cost outputs and missing or inaccurate provider results.
  • Perform root cause analysis across systems and data pipelines.
  • Identify opportunities to improve Data quality and latency, System performance and scalability and Integration reliability.
  • Drive enhancements that improve consumer trust and experience.

What Makes This Role Critical for DCE & Provider Search:
  • These tools depend on highly complex, multi-system logic (pricing, eligibility, provider data)
  • Errors directly impact consumer trust, compliance, and conversion
  • Success requires deep understanding of data + systems, not just UX or business flows , ability to trace outputs back through multiple dependencies and strong partnership across Product, BA, Engineering, and data teams.

Qualifications Required:
  • 3+ years of experience in Systems Analysis, Technical Analysis, or similar role
  • Strong experience with APIs, integrations, and distributed systems , Data modeling, mapping, and analysis and writing technical requirements and system specifications.
  • Experience supporting Agile product teams. (Scrum/SAFe)
  • Ability to analyze complex rule-based systems and data-driven outputs.

Preferred:
  • Experience with Healthcare, pharmacy, or provider data systems. Pricing engines, eligibility systems, or search platforms.
  • Familiarity with Drug pricing concepts. (formularies, tiers, benefit phases) and provider directories and network logic.
  • Exposure to AI/ML or personalization engines.

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