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Data Optimization Jobs in Minnesota (NOW HIRING)

TriOptus LLC

Sr. Data Analyst | TELECOMMUTE

Minneapolis, MN · On-site +1

$89.80K - $113.30K/yr

Leads data validation efforts and leads data optimization solutions by requesting changes to core solutions in our data lake * Reviews work of others and provides guidance on execution, best ...

Collabera

SEO Specialist

Eagan, MN · On-site

Provide data and files for local onsite optimization. Update local listings as customer contact information changes. Leadership and Partnership: Research industry leading publications to keep up-to ...

Vantive

Data Scientist - Sciences

Oakdale, MN · On-site

The Data Scientist will be responsible for supporting the Global R&D Sciences team to design experiments and analyze data optimizing experimental efficiency and minimize the risks of accuracy ...

Vantive

Data Scientist - Sciences

Oakdale, MN

The Data Scientist will be responsible for supporting the Global R&D Sciences team to design experiments and analyze data optimizing experimental efficiency and minimize the risks of accuracy ...

Collabera

SEO Specialist

Eagan, MN · On-site

Provide data and files for local onsite optimization. Manage workflow through company business systems and work plans. Update local listings as customer contact information changes. Research industry ...

Datasite

SEO/GEO Marketing Manager

Minneapolis, MN · On-site

From data rooms to AI deal sourcing and more. Here you'll find the finest technological pioneers ... We are seeking a forward-thinking SEO/GEO Marketing Manager to lead our SEO, AEO/GEO, and digital ...

Datasite LLC

SEO/GEO Marketing Manager

Minneapolis, MN · On-site

From data rooms to AI deal sourcing and more. Here you'll find the finest technological pioneers ... We are seeking a forward-thinking SEO/GEO Marketing Manager to lead our SEO, AEO/GEO, and digital ...

Precision Technologies Corp

GCP ML Architect - Data

Chaska, MN · On-site

$68.25 - $88/hr

Design and implement scalable, secure, and cost-optimized cloud infrastructure using GCP services like BigQuery, Dataflow, Dataproc, Cloud Storage, and Kubernetes Engine. * Design and implement data ...

twoharbors

Data Engineer

Minneapolis, MN

$95K - $120K/yr

Optimizing complex SQL queries, indexing strategies and execution plans to handle large datasets ... A data-centric role within a collaborative data and technology team * Writing and optimizing ...

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Data Optimization information

What is a Data Optimization job?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in the Data Optimization position, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are some typical challenges faced in a Data Optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What is the highest paying job in data?

The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and extensive experience.
More about Data Optimization jobs
What are the most commonly searched types of Data Optimization jobs in Minnesota? The most popular types of Data Optimization jobs in Minnesota are:
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What cities in Minnesota are hiring for Data Optimization jobs? Cities in Minnesota with the most Data Optimization job openings:
Data Optimization jobs near you
Infographic showing various Data Optimization job openings in Minnesota as of May 2026, with employment types broken down into 83% Full Time, 10% Part Time, and 7% Temporary. Highlights an 43% Physical, 2% Hybrid, and 55% Remote job distribution.
Sr. Data Analyst (Human Capital) | TELECOMMUTE

Sr. Data Analyst (Human Capital) | TELECOMMUTE

TriOptus LLC

Minneapolis, MN • On-site, Remote

$89.80K - $113.30K/yr

Contractor

Posted 10 days ago

Job description

100% telecommute
Hours: Regular day working hours with some flexibility, but must be available for most of Central Time working hours with a heavier focus on availability in the mornings
Project:
  • Working with customers to design data extracts based on their reporting needs
  • Collaborating with Data Engineers on the data exports required from data pipelines
  • Analyzing data and combining datasets to develop reporting products/solutions

Team:
  • We are a team of 9 Data Engineers and Analysts + Engineering Managers/Leaders
  • We have 1 product owner on the team and work with several others directly
  • We have a Scrum Master aligned as well

Responsibilities:
  • Be a key or core resource for complex issues, data discrepancies, and fire drills
  • Assesses and interprets customer requests for feasibility, priority, and complexity and documents and delegates those requests within an agile/intake tool
  • Consult with People Analytics and People Analytics team for developing and building prioritized and standard solutions.
  • Develop innovative solutions for both structured and unstructured data
  • Create and maintain internal process documentation and customer-facing help documents
  • Lead projects and change initiatives aligned to key priorities of People Analytics and People Analytics customers
  • Understands priorities and organizes prescribed and non-prescribed work to meet or exceed deadlines and expectations
  • Deeply understand and innovate underlying data structures of standard reporting (complex join criteria, table sources, data types, data definitions, dataflows) and be able to find, validate, combine, and export raw and derived data assets.
  • Execute intermediate programming and/or scripting in at least one of our core technologies to build applications.
  • Leads functional calls for technical subjects (like weekly calls with data management or tech teams)
  • Leads data validation efforts and leads data optimization solutions by requesting changes to core solutions in our data lake
  • Reviews work of others and provides guidance on execution, best practices, and areas for improvement
  • Works with minimal guidance; seeks guidance on only the most complex tasks
  • Proactively keep data secure and decommission legacy content in our environment
  • Sought out as an expert within the People Analytics community and works cross-functionally across the team/community for shared or advanced solutions
  • Serves as a leader and mentor to analysts in lower grade levels
  • Coaches, provides feedback, and guides others within the People Analytics community

Ideal Background: Ideal candidate would have experience in the Human Capital space, working with data from Human Capital systems
Required Qualifications:
  • Undergraduate degree or equivalent experience
  • 4+ years of experience with Human Capital/People Teams, business or financial analysis, etc.
  • 4+ years of experience analyzing data and combining datasets to develop reporting products/solutions
  • 3+ years of experience building dashboards and visualizations in a data visualization tool such as Domo, Tableau, QlikView, PowerBI or similar Business Intelligence platform
  • Advanced level of experience in ETL for visualization tools: complex formulas, complex inner and outer joins, reformatting and manipulating data, etc.
  • Intermediate level of experience in SQL/HiveQL: counts, select statements, filters, groupings, etc.
  • Experience communicating both verbally/written with people at a wide variety of levels in an organization
  • Experience researching issues, investigating data accuracy, and performing quality checks
  • Knowledge of JavaScript, CSS (Cascading Style Sheets), and HTML

Preferred Qualifications:
  • Experience in data extraction, manipulation, and management
  • Experience researching issues, investigating data accuracy, and performing quality checks
  • Project Management skills
  • Ability to work independently and collaborate effectively with others
  • Experience creating user stories using the "As a (role), I want (function) so that (business value)" methodology
  • Basic understanding of statistical methodologies and measurements
  • Experience leading people (directly or indirectly) or large-scale projects
  • 1+ years in an agile environment or with agile tools such as Rally or Swift

Required Skills : Data Analysis
Basic Qualification :
Additional Skills : Data Analyst
This is a high PRIORITY requisition. This is a PROACTIVE requisition
Background Check : No
Drug Screen : No

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