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Assistant Data Analyst Jobs in Maple Grove, MN (NOW HIRING)

Kids for the Future

Assessment Analyst

Saint Paul, MN · On-site

$68 - $80/hr

Job Category Data Analyst, Assessments * Employee Type FT Exempt The American Registry of ... Assist with the designanddevelopment ofAnnualReportsforassessment programs * Serve as a data ...

HealthPartners

Data Actuarial Analyst Senior

Bloomington, MN · On-site

$86K - $109K/yr

HealthPartners is hiring a Data Actuarial Analyst Senior. POSITION PURPOSE: * To work with Manager ... * Assist Actuarial team members with data integrity issues. * To insure that the Actuarial ...

Polaris, Inc.

Sr. Channel Development Analyst

Plymouth, MN · On-site

$83K - $109K/yr

Analyze business, financial, and performance data to identify trends, opportunities, and areas for ... * Assist with the development, implementation, and enhancement of dealer tools, resources, and ...

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Showing results 21-40

All JobsData Analyst JobsAssistant Data Analyst JobsAssistant Data Analyst Jobs in Maple Grove, MN

Assistant Data Analyst information

See Maple Grove, MN salary details

$28.7K

$73.4K

$140.3K

How much do assistant data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for assistant data analyst in Maple Grove, MN is $73,389.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,200.00 and $85,500.00 per year, depending on experience, location, and employer.

What does an assistant data analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

What are the key skills and qualifications needed to thrive as an assistant data analyst, and why are they important?

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.

What are some common challenges an assistant data analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

What is the difference between Assistant Data Analyst vs Data Analyst?

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

What are the most commonly searched types of Data Analyst jobs in Maple Grove, MN?

The most popular types of Data Analyst jobs in Maple Grove, MN are:

What are popular job titles related to Assistant Data Analyst jobs in Maple Grove, MN?

For Assistant Data Analyst jobs in Maple Grove, MN, the most frequently searched job titles are:

What job categories do people searching Assistant Data Analyst jobs in Maple Grove, MN look for?

The top searched job categories for Assistant Data Analyst jobs in Maple Grove, MN are:

What cities near Maple Grove, MN are hiring for Assistant Data Analyst jobs?

Cities near Maple Grove, MN with the most Assistant Data Analyst job openings:

Assistant Data Analyst jobs near you
Infographic showing various Assistant Data Analyst job openings in Maple Grove, MN as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $73,389 per year, or $35.3 per hour.

Business Analyst (Data focused)

3B Staffing LLC

Minneapolis, MN • On-site

Full-time

Posted 3 days ago

New

Job description

Seeking a talented LEAD Data Business Analyst. This Business Analyst - Data Products will work directly with business stakeholders and technical teams, including engineering, operations and data/analyst groups. This role is responsible for driving the end-to-end lifecycle of data product development - from requirements gathering and user story documentation to process mapping, data flow design, testing, training & Implementation.

This role requires a blended skill set that combines the strengths of both business analysts (BAs) and Data Analysts (DAs). You will translate business needs into data driven solutions, bridge between stakeholders and data team, ensuring that data product deliver real business value.

What you will do:

Technical Analysis & POC Development

  • Build and validate POCs for new data products and enhancements.
  • Query, transform, and test data using SQL, Databricks, and Power BI (or equivalent).
  • Develop mock dashboards to visualize metrics and validate business logic before engineering builds.
  • Document source-to-target mappings, data logic, and test results.
  • Identify data anomalies, inconsistencies, and required transformations early in development.

Data Product Execution & Delivery

  • Translate strategic goals into actionable user stories and technical specifications.
  • Support sprint planning, backlog refinement, and delivery tracking.
  • Ensure requirements are clear, structured, and technically feasible before hand-off to dev teams.
  • Validate development outputs against expected results and assist with QA and UAT.
  • Continuously refine product specifications as data maturity evolves.

Data Architecture & Quality Alignment

  • Collaborate with engineers and architects on data model design and optimization.
  • Maintain clarity around data lineage, definitions, and relationships across systems.
  • Support governance through documentation, validation scripts, and data-quality testing.

Operational Excellence

  • Keep ADO tickets, documentation, and sprint boards accurate and current.
  • Track delivery progress and dependencies to keep builds moving efficiently.
  • Surface technical blockers early and propose practical solutions.

Required Skills & Experience

  • 10+ years in data analysis, data engineering, or technical business analysis roles.
  • Hands-on proficiency in SQL, Power BI, and Databricks (Python or PySpark exposure a plus).
  • Understanding of data ingestion, transformation, orchestration, and Lakehouse workflows.
  • Experience designing and validating data models, metrics, and ETL logic.
  • Familiarity with Azure ADO or similar Agile tools for sprint execution.
  • Strong technical documentation and problem-solving skills.

Apply