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Business Intelligence Analyst Data Analyst Jobs in Minnesota

Avalore, LLC

Business Intelligence Analyst

Virginia, MN · On-site

$125 - $150/hr

Plan, direct, or coordinate activities in such fields as electronic data processing, information ... Moderate noise (i.e.business office with computers,phoneand printers) and /or occasional Loud noise ...

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Business Intelligence Analyst Data Analyst information

What does a business intelligence analyst data analyst do?

A Business Intelligence Analyst Data Analyst collects, processes, and analyzes data to help organizations make informed business decisions. They use various tools and techniques to turn raw data into actionable insights, create reports and dashboards, and identify trends or patterns that can improve business operations. Their work often involves collaborating with different departments to understand data needs and presenting findings to stakeholders in a clear and concise manner.

What are the key skills and qualifications needed to thrive as a business intelligence analyst data analyst?

To thrive as a Business Intelligence Analyst/Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a solid educational background in fields like statistics, computer science, or business. Familiarity with SQL, data visualization tools (such as Tableau or Power BI), and programming languages like Python or R is typically required, along with relevant certifications. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating complex findings into actionable business insights. These competencies enable you to turn data into strategic decisions, directly impacting organizational performance and growth.

How does a business intelligence analyst data analyst typically collaborate with other departments within an organization?

Business Intelligence and Data Analysts often work closely with teams across the organization, such as marketing, finance, operations, and IT. They gather requirements from stakeholders, translate business needs into data queries, and present actionable insights through reports or dashboards. Effective collaboration involves regular meetings to discuss findings, clarify data definitions, and ensure that analyses align with business objectives. This cross-functional teamwork helps drive data-informed decision-making throughout the company.

What is the difference between Business Intelligence Analyst Data Analyst vs Data Scientist?

AspectBusiness Intelligence AnalystData Scientist
Required CredentialsBachelor's in Business, IT, or related field; certifications like Tableau or Power BIBachelor's or higher in Computer Science, Statistics, or related; advanced degrees often preferred
Work EnvironmentBusiness settings, reporting teams, data visualization toolsResearch labs, tech companies, data modeling environments
Employer & Industry UsageFinance, healthcare, retail, and other industries focusing on reporting and dashboardsTech, finance, healthcare, focusing on predictive modeling and complex data analysis

While both roles analyze data, Business Intelligence Analysts focus on creating reports and dashboards to support business decisions, whereas Data Scientists develop predictive models and advanced algorithms to uncover deeper insights. The roles often overlap but differ mainly in scope and technical complexity.

What are popular job titles related to Business Intelligence Analyst Data Analyst jobs in Minnesota?

For Business Intelligence Analyst Data Analyst jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Business Intelligence Analyst Data Analyst jobs in Minnesota look for?

The top searched job categories for Business Intelligence Analyst Data Analyst jobs in Minnesota are:

What cities in Minnesota are hiring for Business Intelligence Analyst Data Analyst jobs?

Cities in Minnesota with the most Business Intelligence Analyst Data Analyst job openings:

Business Intelligence Analyst Data Analyst jobs near you
Infographic showing various Business Intelligence Analyst Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 89% In-person, and 11% Remote job distribution.

Business Intelligence Analyst

Tactile Medical

Minneapolis, MN • On-site

Full-time

Posted 12 days ago

Tactile Medical rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

The Business Intelligence Analyst will translate business questions into clear, trustworthy insights by delivering high quality reports and dashboards using shared, governed data assets in Microsoft Fabric. This role combines business analysis, stakeholder partnership, and BI development to support decision making and drive adoption of self-service analytics across the organization.

Key Responsibilities:
Business Analysis & Insight Development

  • Partner with business stakeholders to clarify questions, decisions, and success criteria
  • Translate business needs into analytical approaches using existing data assets
  • Provide context, interpretation, and recommendations, not just dashboards
  • Identify gaps in current data or metrics and escalate opportunities for improvement

BI Development & Reporting

  • Build reports and dashboards using Microsoft Fabric/Power BI
  • Apply visualization and data storytelling best practices tailored to audience and use case
  • Use shared datasets and semantic models rather than embedding custom logic
  • Validate report outputs and flag data quality issues upstream, rather than applying workarounds

Adoption & Enablement

  • Help stakeholders understand and adopt self-service analytics where appropriate
  • Reinforce use of shared definitions and certified datasets
  • Serve as a bridge between business users and centralized data teams (Analytics Engineering, Governance)

Education & Experience:

Required:

  • 1-3 years of experience as a Business Analyst or in a related analytical role.
  • Experience gathering, documenting, and translating business requirements into technical solutions and actionable deliverables.
  • Proficiency in Power BI, including the development and maintenance of reports, dashboards, and data visualizations.
  • Strong ability to collaborate with business stakeholders to understand needs, identify opportunities, and recommend solutions.

Preferred:

  • Experience writing and troubleshooting SQL queries to extract, analyze, and validate data.
  • Knowledge of relational databases, data modeling, and reporting best practices.
  • Experience supporting business intelligence, reporting, or data analytics initiatives.
  • Familiarity with translating complex business processes into scalable reporting and data solutions.
  • Experience working in healthcare, durable medical equipment (DME), or other regulated industries preferred.

Key Skills:
Technical

  • Proficiency with Power BI/BI tools for reporting and analysis
  • Strong understanding of shared metrics, semantic models, and curated datasets
  • Ability to write DAX measures using approved definitions
  • Awareness of data freshness, latency, and consumption limitations
  • Data validation and basic reconciliation techniques

Professional

  • Strong business analysis and communication skills
  • Ability to frame ambiguous requests into clear analytical questions
  • Customer centric mindset with comfort influencing without authority
  • Willingness to shift from "report builder" to insight and decision enabler

Visualization & Analysis

  • Applies audience appropriate visual design
  • Tells clear, structured data stories using governed data
  • Highlights trends, drivers, and implications - not just numbers
  • Surfaces data quality or definition issues proactively
  • Builds reports using shared semantic models and Fabric datasets
  • Writes DAX measures following approved metric definitions
  • Applies visual performance best practices in reports and dashboards
  • Avoids local or data specific logic in favor of governed, reusable assets

Measured Success:

  • Reports are consistent, trusted, and aligned with shared metric definitions
  • Stakeholders rely on insights to inform decisions, not reconcile numbers
  • Self-service analytics adoption increases over time
  • Business questions are answered faster with less work

What Tactile Medical employees say

Pay

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Hours and flexibility

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