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Performance Improvement Data Analyst Jobs in Minnesota

Principal Data Analyst (Hybrid)

Avon, MN · Hybrid

$121K - $176K/yr

A DAY IN THE LIFE The Principal Data Analyst is a senior individual contributor on the IT Data, ... performance, risk reduction, and continuous improvement. * Defines enterprise standards for ...

Mine and analyze data from a host of data sources to drive optimization and improvement of product ... recognized for your performance in an environment that will challenge you and give you clear ...

Data Analyst Senior

Minneapolis, MN · On-site +1

$107K - $155K/yr

Retain knowledge gained and performance feedback provided to transfer into future work. Approach ... Data Analysis: Participate in the collection and analysis of data using a variety of data tools.

Reference Data Analyst

Minneapolis, MN · On-site

$116K - $188K/yr

We are seeking a highly motivated, detail-oriented Reference Data Analyst to join our Reference ... prior performance, business sector, and geographic location. In addition to base salary, the ...

New

Reference Data Analyst

Minneapolis, MN · On-site

$116K - $188K/yr

We are seeking a highly motivated, detail-oriented Reference Data Analyst to join our Reference ... prior performance, business sector, and geographic location. In addition to base salary, the ...

New

Analyze and transform data to support operational business needs * Partner with internal ... Contribute to continuous improvement and innovation initiatives across WCIB Operations What Makes ...

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

This Senior Data Analyst role within the Food Supply Chain Data & Analytics team is focused on ... The role also involves designing intuitive, high-performance dashboards and reporting ecosystems ...

Job Title: Business Data Analyst Location: Eagan, MN 55123 Duration: 3 Months (May extend ... performance management, productivity measures, talent acquisition and other areas that impact our ...

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

This Senior Data Analyst role within the Food Supply Chain Data & Analytics team is focused on ... The role also involves designing intuitive, high-performance dashboards and reporting ecosystems ...

Senior Data Analyst

Chanhassen, MN · On-site

$87K - $110K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... Triage and resolve data quality issues, report failures, and performance problems across the ...

Senior Data Analyst

Chanhassen, MN · On-site

$100K - $125K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... Triage and resolve data quality issues, report failures, and performance problems across the ...

Senior Data Analyst

Chanhassen, MN · On-site

$87K - $110K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... Triage and resolve data quality issues, report failures, and performance problems across the ...

Review data for reasonableness, and validate data against key performance indicators collected from ... of analysis, as well as recommendations * Oversee the servicing of a designated book or partial ...

Showing results 21-40

Performance Improvement Data Analyst information

What are the key skills and qualifications needed to thrive as a performance improvement data analyst?

A Performance Improvement Data Analyst should possess strong analytical skills, expertise in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data visualization tools (such as Tableau or Power BI), statistical analysis software (like SAS or R), and quality improvement methodologies (such as Lean or Six Sigma certification) is typically required. Exceptional attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating data insights into actionable recommendations. These competencies are essential for identifying trends, driving process improvements, and supporting organizational decision-making.

How does a performance improvement data analyst typically collaborate with cross-functional teams to drive organizational change?

Performance Improvement Data Analysts often work closely with departments such as operations, quality assurance, and management to identify performance gaps and recommend actionable solutions. They facilitate meetings to present data findings, translate analytics into practical strategies, and support teams during the implementation of process improvements. This role requires effective communication and the ability to build consensus among stakeholders, as well as ongoing follow-up to measure the impact of changes and ensure continuous improvement.

What is the difference between Performance Improvement Data Analyst vs Business Analyst?

AspectPerformance Improvement Data AnalystBusiness Analyst
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; certifications like CAP or CBAPBachelor's in Business, Management, or related field; certifications like CBAP or PMI-PBA
Work EnvironmentData-driven teams, healthcare, manufacturing, or corporate settingsBusiness units, project teams, corporate offices across industries
Employer & Industry UsageHealthcare, manufacturing, finance, and consulting firms focusing on process improvementsVarious industries including finance, IT, healthcare, focusing on business process analysis

The Performance Improvement Data Analyst primarily focuses on analyzing data to identify process inefficiencies and recommend improvements, often within healthcare or manufacturing sectors. In contrast, a Business Analyst evaluates business needs, documents requirements, and supports project implementation across diverse industries. While both roles require analytical skills and certifications, their core responsibilities and work environments differ, with the Data Analyst emphasizing data analysis and the Business Analyst focusing on business processes and solutions.

What is a performance improvement data analyst?

A Performance Improvement Data Analyst is a professional who collects, analyzes, and interprets data to identify areas where an organization can enhance its efficiency, quality, and overall performance. They work with various teams to develop strategies based on data-driven insights, often focusing on process optimization and cost reduction. Their role may include creating reports, visualizing data trends, and supporting decision-making by providing actionable recommendations. These analysts are commonly found in healthcare, business, and manufacturing settings, among others.
What are popular job titles related to Performance Improvement Data Analyst jobs in Minnesota? For Performance Improvement Data Analyst jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Performance Improvement Data Analyst jobs in Minnesota look for? The top searched job categories for Performance Improvement Data Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Performance Improvement Data Analyst jobs? Cities in Minnesota with the most Performance Improvement Data Analyst job openings:
Infographic showing various Performance Improvement Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Senior Data Analyst - TES Data and Analytics

Target Brands, Inc.

Brooklyn Park, MN • On-site

$88K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,979 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers


Job description

The pay range is $88,000.00 - $158,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
About us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
We are seeking a detail-oriented and innovative Senior Data Analyst to join our Data & Analytics Team, supporting Target Enterprise Services (TES). This role goes beyond traditional data analysis, requiring a proactive individual who can uncover process inefficiencies, develop impactful tools, and design metrics that empower decision-making and continuous improvement.
As a Senior Data Analyst, you will play a hands-on role in analyzing data, prototyping models, and collaborating with cross-functional teams to design, build, and enhance the effectiveness of multiple data products. You'll deliver actionable insights, build scalable tools, and mentor team members, all while driving analytics that shape business decisions.This role is designed for someone who thrives in a fast-paced environment, enjoys tackling complex challenges, and can balance analytical rigor with creativity.
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
Key Responsibilities:
Data Analysis & Process Improvement
  • Identify and analyze process gaps using data exploration, intuition, and investigative techniques.
  • Conduct deep-dive analyses to uncover inefficiencies and propose data-driven solutions to business problems and workflows.
  • Perform trade-off analyses to guide decision-making and improve overall organizational performance.
  • Apply AI-enabled analysis techniques to accelerate high-quality analysis, transform unstructured and immature data sources into scalable insights, identify emerging themes, and pressure-test hypotheses while applying strong analytical judgment, validation, and responsible use practices.

Tool Development & Forecasting
  • Build prototype statistical models and algorithms to enhance forecasting accuracy and operational effectiveness.
  • Support development of topic modeling and sentiment analysis capabilities, bringing structured metadata to unstructured open text sources
  • Develop user-friendly tools and dashboards to serve up actionable insights to service center and enterprise partner teams.
  • Ensure analytical solutions are scalable and integrated into team workflows for lasting impact.

Metric Design & Reporting
  • Create KPIs, metrics, and calculations that accurately measure performance and shape desired behaviors across the Service Center Organization.
  • Partner with enterprise analytics teams to ensure cohesiveness and consistency across the reporting portfolio.
  • Regularly review and refine metrics to reflect evolving business needs and priorities.

Collaboration & Mentorship
  • Partner with analysts and stakeholders across data and analytics teams to align on goals, methods, and outputs.
  • Act as a thought leader by sharing domain knowledge, best practices, and analytical techniques to elevate team performance.
  • Support the alignment of insights with business goals by fostering strong cross-functional relationships.

Business Insights & Communication
  • Translate complex analytics into clear, actionable business insights tailored to stakeholders' needs.
  • Effectively communicate findings through compelling presentations, data visualizations, and storytelling.
  • Provide guidance on trade-offs between competing priorities and decisions using a data-driven approach.

About You:
  • Bachelor's degree in Data Science, Business Analytics, Statistics, or related field.
  • 5+ years of experience in data analytics, with a track record of solving complex business problems.
  • Advanced skills in tools and programming languages such as SQL, Python, R, and data visualization tools (e.g., Looker, Power BI).
  • Practical experience leveraging large language models and AI prompt engineering to help analyze and categorize data
  • Proven experience in developing metrics, KPIs, and reporting frameworks.
  • Ability to translate data into actionable insights and effectively communicate findings to stakeholders.
  • Strong analytical mindset with the ability to identify root causes and recommend solutions.
  • Ability to work across both modern and immature data.
  • Excellent collaboration skills and experience working with cross-functional teams.
  • Continually updates knowledge of new and evolving technologies via formal training and self-directed education to continue to raise individual and team performance.

Preferred:
  • Familiarity with service center analytics.
  • Experience building statistical models or algorithms to improve forecasting.
  • Knowledge of systems like GCP, Looker, Power BI, and Git.
  • Demonstrated ability to mentor and support junior team members in analytics.

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.

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About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US