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Analyst Data Analysis Jobs in Minnesota (NOW HIRING)

Andersen Corporation

Data Analyst II

Cottage Grove, MN · On-site

$90K - $139K/yr

Data Analysis & Visualization: Skilled in tools like Excel, Tableau, Power BI, etc. for data analysis and visual storytelling. * Business Intelligence Tools: Experience with BI platforms and ...

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

They support all Properties strategic initiatives with data, reporting and analysis. Properties teams rely on this team of analysts to bring data to support decision making. As a Sr. Data Analyst ...

Adecco

Business Data Analyst

Minneapolis, MN · On-site

$22/hr

Data analysis. * Member record reconciliation. * Process and Operational support. * Identify trends to suggest algorithmic tuning to further reduce task volume. Qualifications: * Bachelor's degree ...

Blattner Company

Principal Data Analyst (Hybrid)

Avon, MN · On-site

$121K - $176K/yr

Proficient in SQL and Python for data analysis, transformation, and pipeline development. HOW WE INVEST IN YOU * Competitive pay * 100% employer paid HDHP insurance premiums for employees * 401(k) ...

Blattner Company

Principal Data Analyst (Hybrid)

Avon, MN · Hybrid

$121K - $176K/yr

Proficient in SQL and Python for data analysis, transformation, and pipeline development. HOW WE INVEST IN YOU * Competitive pay * 100% employer paid HDHP insurance premiums for employees * 401(k) ...

Eden Prairie Schools

Senior Data Analyst

Eden Prairie, MN · On-site

$101K - $111K/yr

Minimum of five (5) years progressively responsible experience in data analysis, business intelligence, strategic analytics, and facilitating a small team * Advanced proficiency with SQL, Excel ...

Eden Prairie Schools

Senior Data Analyst

Eden Prairie, MN · On-site

$101K - $111K/yr

Minimum of five (5) years progressively responsible experience in data analysis, business intelligence, strategic analytics, and facilitating a small team * Advanced proficiency with SQL, Excel ...

Droisys

Sr. Data Quality Analyst

Minneapolis, MN

Candidates with strong testing experience and more important on Data Analysis & SQL skills. The candidate should have an intermediate level of experience with Informatica coupled with excellent SQL ...

Collabera

Business Data Analyst

Eagan, MN

Other ad-hoc projects that incorporate people data into informed decision making Qualifications Qualifications: 4-year degree required A minimum of 3 years of data analysis and reporting experience ...

CYNET SYSTEMS

Business Data Analyst

Minneapolis, MN · On-site

$60/hr

Strong SQL and data analysis expertise. * Experience translating business needs into technical solutions. * Knowledge of data models and cloud platforms (SaaS/PaaS/IaaS). * Strong documentation ...

Andersen

Data Analyst II

Cottage Grove, MN

$90K - $139K/yr

Data Analysis & Visualization:Skilled in tools like Excel, Tableau, Power BI,etc.fordataanalysisand visual storytelling. * Business Intelligence Tools:Experience with BI platforms and reporting tools ...

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Analyst Data Analysis information

What is an analyst data analysis?

Analyst Data Analysis roles involve collecting, processing, and interpreting large sets of data to help organizations make informed business decisions. These professionals use statistical techniques and data visualization tools to identify trends, patterns, and insights from raw data. They often collaborate with various departments to provide actionable recommendations and support strategic planning. Strong analytical skills, attention to detail, and proficiency with data analysis software are essential for this role.

What are the key skills and qualifications needed to thrive as an analyst data analysis?

To thrive as an Analyst in Data Analysis, you need strong analytical skills, a solid foundation in statistics, and proficiency with data querying languages, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau or Power BI, as well as certifications in analytics, are highly valued. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and presenting actionable insights. These competencies enable analysts to extract meaningful information from complex datasets, drive informed decision-making, and add value to their organizations.

How does an analyst data analysis typically collaborate with other departments within a company?

Analyst Data Analysis professionals frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product management to gather requirements and deliver actionable insights. They participate in meetings to discuss data needs, share analytical findings, and help stakeholders interpret results for decision-making. Effective communication and the ability to translate complex data into understandable terms are crucial, as these analysts often serve as a bridge between technical teams and business units. Collaborating on projects and providing data-driven recommendations is a central part of their daily responsibilities.

What is the difference between Analyst Data Analysis vs Data Scientist?

AspectAnalyst Data AnalysisData Scientist
Required CredentialsBachelor's degree in data-related fields; certifications like Microsoft Excel, SQLBachelor's or master's in data science, statistics, or related fields; certifications in Python, R, or machine learning
Work EnvironmentBusiness settings, reporting, dashboards, data visualizationResearch, modeling, advanced analytics, machine learning projects
Employer & Industry UsageFinance, marketing, healthcare, retailTech companies, finance, research institutions, startups

While both roles analyze data, Analyst Data Analysis focuses on interpreting data for business insights using tools like Excel and SQL. Data Scientists build predictive models and perform advanced analytics using programming languages like Python or R. The roles differ mainly in complexity, tools used, and scope of analysis, but they often collaborate within data teams.

Can I be a data analyst with no experience?

Entry-level data analyst positions often do not require prior experience if candidates have relevant skills such as proficiency in Excel, SQL, or data visualization tools, and a solid understanding of data concepts. Gaining certifications or completing relevant coursework can improve chances of securing a role without professional experience.

Is a data analyst a high paying job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, experienced analysts can achieve higher compensation, making it a financially rewarding career for many professionals.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

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

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

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

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

Analyst Data Analysis jobs near you

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

Re-posted 11 days ago

Target rating

6.6

Company rating: 6.6 out of 10

Based on 7,037 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.

What Target employees say

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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

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