ZipRecruiter

Log In

1

Data Operations Assistant Jobs in Savage, MN (NOW HIRING)

Productivity Inc

Asset & Auction Coordinator

Plymouth, MN · On-site

$28 - $35/hr

Auction & Sales Support: Assist with lotting, open-house inspections, buyer communications, and ... Gather detailed technical specifications, historical pricing, and valuation data. * Operations ...

New

Guida's Dairy

Business Analyst

Saint Paul, MN

... operations. Assist the business with solving problems, setting new objectives or goals, and ... Analyze business processes, operational data, KPIs, and financial metircs to identify opportunities ...

previous page

Showing results 41-60

All JobsData Operations JobsData Operations Assistant JobsData Operations Assistant Jobs in Savage, MN

Data Operations Assistant information

See Savage, MN salary details

$11

$21

$32

How much do data operations assistant jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data operations assistant in Savage, MN is $21.14, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $23.85 per hour, depending on experience, location, and employer.

What is a data operations assistant?

Data Operations Assistants support the management, processing, and quality control of data within an organization. They handle tasks such as data entry, updating records, verifying accuracy, and assisting with data reporting. Their role helps ensure that business data is accurate, up-to-date, and easily accessible for analysis or decision-making. They often work closely with data analysts, IT teams, or operations managers to maintain data integrity and streamline workflows.

What are the key skills and qualifications needed to thrive as a data operations assistant?

To thrive as a Data Operations Assistant, you need strong analytical skills, attention to detail, and proficiency with data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with database systems, Microsoft Excel, and data management software such as SQL or CRM platforms is typically required. Excellent organizational abilities, problem-solving skills, and effective communication help you stand out in this position. These skills and qualities are crucial for ensuring data accuracy, supporting business operations, and facilitating informed decision-making.

What are some common challenges faced by data operations assistants, and how can they be overcome?

Data Operations Assistants often encounter challenges such as managing large volumes of data with tight deadlines, ensuring data accuracy, and coordinating with multiple departments for seamless data flow. To overcome these, it’s important to develop strong organizational and communication skills, become proficient in data management tools, and establish clear processes for data validation. Regular collaboration with team members and proactive troubleshooting can help minimize errors and improve workflow efficiency.

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

AspectData Operations AssistantData Analyst
Required CredentialsAssociate degree or relevant certificationsBachelor's degree in data-related fields
Work EnvironmentData entry, data management, support rolesData interpretation, reporting, analysis
Employer & Industry UsageBusinesses needing data support, administrative tasksOrganizations analyzing data for insights
Search & Comparison IntentUnderstanding support roles in data managementAnalyzing data to inform decisions

The Data Operations Assistant primarily handles data entry, management, and support tasks within organizations, often requiring an associate degree or relevant certifications. In contrast, a Data Analyst focuses on analyzing data, creating reports, and deriving insights, typically holding a bachelor's degree. While both roles work with data, the Assistant supports data workflows, whereas the Analyst interprets data for strategic purposes.

Is data operations a good job?

Data operations is a vital role that involves managing and maintaining data systems, ensuring data quality, and supporting data workflows. It often requires skills in database management, data analysis, and familiarity with tools like SQL and data pipelines. The job can offer stable employment and opportunities for skill development in data management environments.

What is a data operations assistant's salary?

The salary for a data operations assistant typically ranges from $40,000 to $60,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced assistants or those in high-demand areas can earn more. Skills in data management tools and attention to detail are often valued in this role.

What job categories do people searching Data Operations Assistant jobs in Savage, MN look for?

The top searched job categories for Data Operations Assistant jobs in Savage, MN are:

What cities near Savage, MN are hiring for Data Operations Assistant jobs?

Cities near Savage, MN with the most Data Operations Assistant job openings:

Data Operations Assistant jobs near you
Infographic showing various Data Operations Assistant job openings in Savage, MN as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $43,971 per year, or $21.1 per hour.

Data Analyst / Data Modeler - Digital Banking

Expleo

Minneapolis, MN • On-site, Remote

$92 - $102/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

Overview

Location: Minneapolis, MN Preferred (Remote Considered for Exceptional Candidates)

Employment Type: Full-Time

Shape Modern Data Foundations Through Analysis & Modeling

Are you a seasoned Data Modeler who excels at understanding complex business processes, analyzing data, and translating requirements into scalable data solutions? Trissential is partnering with a forward-thinking enterprise client to bring on a Data Analyst / Data Modeler - Digital Banking who will play a key role in supporting data initiatives within a modern Snowflake-based ecosystem.

While data modeling remains an important component of this role, the primary focus will be partnering with business and technology teams to analyze data, support data quality initiatives, document requirements, and ensure data structures effectively support reporting, analytics, and business outcomes.

For the immediate hiring need, we are prioritizing candidates local to the Minneapolis area. However, exceptional remote candidates will also be considered.

What's in It for You?

High-Impact Data Work - Support critical digital banking and enterprise data initiatives that influence strategic business decisions

Business Partnership - Work closely with stakeholders to understand business processes and translate requirements into actionable data solutions

Modern Technology Stack - Leverage Snowflake and cloud-based data platforms in a mature, enterprise-scale environment

Strategic Visibility - Contribute to data decisions that influence reporting, analytics, governance, and operational effectiveness

Balanced Responsibilities - Combine analytical problem-solving with data modeling and governance activities

Career Growth - Expand your expertise across Snowflake, enterprise analytics, data governance, and cloud-based data platforms

Collaborative Culture - Join a team focused on data quality, continuous improvement, and delivering business value

Your Role & Responsibilities

You will:

Analyze business requirements and translate them into scalable data solutions

Partner with business stakeholders, data engineers, architects, and governance teams to support enterprise data initiatives

Perform data profiling, discovery, and quality assessments across multiple data domains

Validate data accuracy and integrity through advanced SQL analysis and testing

Assist with source-to-target mappings and data lineage documentation

Identify data anomalies, investigate root causes, and recommend improvements

Maintain metadata, business definitions, and data dictionaries

Collaborate with governance teams to support naming standards, data quality processes, and metadata management

Participate in design reviews, impact assessments, and change-management activities

Skills & Experience You Should Possess

10+ years of experience in data modeling, data analysis, data management, or related disciplines

Strong experience analyzing complex datasets and translating business requirements into data solutions

Advanced SQL skills for data analysis, validation, and troubleshooting

Experience performing data profiling, data quality analysis, and data validation

Familiarity with metadata management, lineage, and data governance practices

Ability to communicate effectively with both technical and non-technical stakeholders

Strong analytical, problem-solving, and critical-thinking skills

Bonus Points If You Have

Banking, Financial Services, or Digital Banking experience

Python experience for data analysis, profiling, or automation

Experience working with semi-structured data such as JSON

Exposure to data cataloging, metadata management, or governance tools

Experience supporting enterprise cloud data modernization initiatives

Education & Certifications You Need

Bachelor's degree in Computer Science, Information Systems, Data Management, Data Analytics, or a related field

Data modeling, data governance, or analytics certifications are a plus, but not required

What We Offer

At Trissential, we believe great data work happens when talented people are supported, valued, and empowered. When you join our client's team through Trissential, you gain access to meaningful work, professional growth opportunities, and a comprehensive benefits package.

Competitive Compensation - You choose the model that works best for you, both with company-sponsored benefits! $155,000-$165,000 annually or $92-$102 per hour, depending on your skills, experience, and location. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.

Comprehensive Benefits for you and your dependents - Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching

Paid Time Off - Both compensation models offer paid time away from work

Career Development and Advancement - Expleo is a global organization operating across 29 countries with a strong focus on professional growth and development

Strong Team Culture - Collaborate with experienced professionals who value partnership, innovation, and continuous learning

This role is only open to individuals who are authorized to work in the United States

Ready to help shape trusted data that drives better business decisions? Apply today and take the next step in your career as a Data Analyst / Data Modeler - Digital Banking with Trissential

Employment Type: OTHER

Apply