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Entry Level Genomic Data Analyst Jobs in Maple Grove, MN

CGI Inc.

Business Analyst - Entry Level

Minneapolis, MN · On-site

Do you enjoy analyzing processes, collaborating with teams, and using data and AI-enabled tools to ... As an Entry Level Business Analyst, you'll work with cross functional teams to translate business ...

Varsity Tutors

Genetics Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Edina, MN · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Pwc

AI & GenAI Data Scientist - Manager

Minneapolis, MN

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Genomic Data Analyst information

See Maple Grove, MN salary details

$13

$33

$63

How much do entry level genomic data analyst jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for entry level genomic data analyst in Maple Grove, MN is $33.71, according to ZipRecruiter salary data. Most workers in this role earn between $21.68 and $37.64 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Genomic Data Analyst vs Bioinformatics Technician?

AspectEntry Level Genomic Data AnalystBioinformatics Technician
Required CredentialsBachelor's in Genetics, Biology, or related field; basic knowledge of bioinformatics toolsBachelor's in Bioinformatics, Computer Science, or related; familiarity with laboratory data
Work EnvironmentResearch labs, biotech companies, healthcare institutionsLaboratories, research facilities, biotech firms
Employer & Industry UsagePharmaceuticals, biotech, academic researchResearch institutions, biotech companies, hospitals
Common Search & ComparisonYesYes

The main difference between an Entry Level Genomic Data Analyst and a Bioinformatics Technician lies in their focus. The analyst primarily interprets genomic data, performs statistical analysis, and supports research projects. The technician typically handles laboratory data management, sample processing, and technical support. Both roles require similar educational backgrounds but differ in daily tasks and focus areas within the genomics field.

How much do entry level genomic data analysts make?

Entry-level genomic data analysts typically earn between $50,000 and $70,000 annually, depending on location, education, and industry. Starting salaries may be lower in some regions, but proficiency with tools like R or Python and knowledge of genomics can lead to higher compensation over time.

How to become an entry level genomic data analyst?

To become an entry-level genomic data analyst, candidates typically need a bachelor's degree in biology, genetics, bioinformatics, or a related field. Developing skills in programming languages such as Python or R, understanding genomic databases, and gaining experience with data analysis tools are important. Internships or entry-level positions can provide practical experience and help build relevant skills for this role.

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

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

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

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

What cities near Maple Grove, MN are hiring for Entry Level Genomic Data Analyst jobs?

Cities near Maple Grove, MN with the most Entry Level Genomic Data Analyst job openings:

Entry Level Genomic Data Analyst jobs near you
Infographic showing various Entry Level Genomic Data Analyst job openings in Maple Grove, MN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $70,127 per year, or $33.7 per hour.

Utility Data and Modeling Analyst

Saint Louis Park, MN • On-site

HDR
Specialized Design Services • 5 - 10K employees

9.3

Company rating: 9.3 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

26th of 450 rated engineering

Great coworkers

People enjoy working here

Good employer

Learn more about HDRexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?
Watch Our Story:' https://www.hdrinc.com/our-story' 
Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. 
We believe water is more than a resource, it's a shared responsibility. As part of our Water Business Group, you'll help shape how communities manage water for generations to come. From delivering safe drinking water and treating wastewater responsibly to developing sustainable water supplies and protecting lives and property through flood control, your work will directly support public health, environmental sustainability, and infrastructure resilience.  We bring together experts across disciplines to solve complex challenges with bold thinking and technical excellence. Whether you're modernizing aging systems or pioneering innovative approaches, your contributions will make a meaningful difference in people's lives. This isn't just a job, it's a chance to lead change, drive progress, and leave a lasting legacy.

About the Role

HDR is seeking an entrylevel Utility Data, Asset Management & Hydraulic Modeling Analyst to support water and wastewater utility projects through applied hydraulic modeling analysis, data analytics, GIS, and asset management. This position contributes to system evaluations, capital planning, regulatory analysis, and development of technical deliverables for municipal utility clients. The successful candidate will demonstrate strong analytical capability, technical rigor, and an interest in advancing datadriven utility planning.

Key Responsibilities:

Hydraulic Modeling & System Analysis

  • Assist with building and maintaining hydraulic model data for water distribution and wastewater collection systems using GIS datasets, asbuilt drawings, and field data.
  • Support hydraulic simulations, system performance evaluations, and scenario analyses for planning studies and operational assessments.
  • Utilize data from industry modeling tools such as InfoWater, InfoSewer, InfoSWMM, InfoWorks ICM, SewerGEMs, WaterGEMs, EPANet, and ArcGIS Pro. 

Data Engineering, Analytics & Visualization

  • Perform data acquisition, cleaning, validation, and exploratory analysis on large datasets including SCADA data, metering data, GIS layers, and monitoring records.
  • Develop analytical and visualization outputs using SQL, Power BI, Python, R, and GIS platforms to support technical evaluations.
  • Support database management, data structuring, and creation of modeling-ready datasets to improve study reliability and documentation.
  • Handle highly sensitive and confidential information with professionalism and discretion
  • Collaborate with stakeholders to improve business decisions by identifying patterns and trends in data
  • Develop data products including reports, visualizations, and dashboards
  • Adhere to software and data science development standards
  • Perform data acquisition, sourcing, cleaning and exploratory data analysis (EDA)
  • Transform raw data into usable attributes for machine learning modules through feature engineering
  • Manage model lifecycle including development, deployment, data drift detection, model retraining, and model inference.
  • Create automated data pipelines and data engineering solutions
  • Develop advanced and custom predictive models (classification, regression, time series, neural networks, natural language processing, and computer vision)
  • Tune models with training, hyperparameters with comprehensive validation and testing processes

Asset Management & Capital Planning

  • Contribute to asset inventory development, condition assessment processes, and risk prioritization activities supporting water and wastewater capital planning.
  • Assist in preparing asset management and capital improvement plan documents, including risk modeling graphics, lifecycle analysis summaries, and decision-support exhibits.
  • Integrate asset, condition, and geospatial data to support longterm strategic planning for utility infrastructure.

Utility Planning, Policy Analysis & Technical Reporting

  • Support development of technical reports, planning documents, regulatory analyses, and client presentations.  
  • Assist with evaluating impacts of evolving state and federal environmental policies on client utility systems.
  • Leverage predictive models to optimize business results
  • Contribute to studies involving financial planning, rate evaluation, and longrange system needs assessment.

Professional Collaboration

  • Actively participate in HDR's employeeowned, collaborative culture by working closely with multidisciplinary teams including engineers, planners, analysts, and project managers.  
  • Communicate findings through written reports, visualizations, engineering graphics, and presentations.  
  • Maintain high standards of quality control, documentation, and analytical accuracy.

Preferred Qualifications

  • Bachelor's Degree
  • A minimum of 3 years experience in a data science role
  • Foundational knowledge or academic experience in hydraulics, environmental systems, data analytics, GIS, or related disciplines.
  • Familiarity with or academic exposure to hydraulic modeling concepts or tools.  
  • Experience with ArcGIS Desktop, ArcGIS Pro, or ArcGIS Online.
  • Oracle Spatial or SQL Server Spatial back-end data processing experience  
  • Understanding of asset management principles such as condition assessment, risk scoring, or lifecycle planning.
  • Interest in environmental regulations and policy frameworks related to water and wastewater utilities.  

#LI-EV1

Required Qualifications
  • A degree in a closely related field or combination of education and relevant experience
  • Self-motivated, detail-oriented professional, ability to multitask a must
  • Proficiency with MS Office including Word and Outlook
  • Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas
  • Proficiency with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib
  • Proficiency with data science languages such as Python and R
  • Ability to handle confidential information
  • Excellent writing and people skills
  • Strong math and organizational skills
  • Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment
  • Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills
  • An attitude and commitment to being an active participant of our employee-owned culture is a must

What We Believe
HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.
Our Commitment
As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.
Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.

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About HDR

Sourced by ZipRecruiter

At HDR, we specialize in engineering, architecture, environmental and construction services. While we are most well-known for adding beauty and structure to communities through high-performance buildings and smart infrastructure, we provide much more than that. We create an unshakable foundation for progress because our multidisciplinary teams also include scientists, economists, builders, analysts and artists.

Industry

Specialized design services

Company size

5,001 - 10,000 Employees

Headquarters location

Omaha, NE, US

Year founded

1917

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What HDR employees say

Pay

Benefits

Hours and flexibility

Workplace

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