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

RELX

AI Data Analyst

Minneapolis, MN · On-site

... maximize operational efficiencies, and improve customer experience. Our solutions help our ... Metadata & Semantic Enablement * Assist teams in improving metadata, documentation, and business ...

Ryan Companies

Data Analyst

Minneapolis, MN

$85K - $100K/yr

Become a subject matter expert in datasets related to scheduling and field operations. * Assist Scheduling team with scrubbing project data upon project completion for archiving. * Build, test ...

Mortenson

Data Analyst - Finance

Minneapolis, MN · On-site

$72K - $109K/yr

Provide user support and documentation * Assist with ongoing analytics requests * Advanced knowledge of Microsoft Toolset, Finance Report Toolsets, best practices and general Data Operations best ...

Concept Schools

Administrative Assistant

Saint Paul, MN · On-site

$18.25 - $24.50/hr

School Operations Location: Horizon Science Academy Saint Paul (HSASP), Minnesota Employment Type ... Prepare and organize data needed for state, district, and Concept Schools reporting. Maintain ...

AG Technologies

Data Analyst

Minneapolis, MN · On-site

Over the last five years, our client base of Fortune 100 companies has expanded dramatically Assist ... and operational progress Qualifications Ability to adapt to a fast-paced, quickly changing ...

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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 Aug 7, 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 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 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 with technical skills or certifications can earn higher wages.

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 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.

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 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 Support Analyst

Invictus Capital Partners

Bloomington, MN • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

We are seeking a Data Support Analyst to support day-to-day data operations across our enterprise data environment. This role is ideal for a technically skilled professional with experience troubleshooting data issues, supporting business users, and collaborating with data engineering teams.

The primary focus of this role is managing and resolving data-related tickets, including investigating discrepancies, validating data, and coordinating resolutions with business and technical teams. In addition, the analyst will provide ad-hoc support to the Data Engineering team by assisting with pipeline monitoring, data validation, file transfers, and operational tasks across our Azure-based data platform.
Hybrid Work Environment: This role can be based in our Washington, DC or Bloomington, MN office. We believe collaboration drives innovation, so team members work together in the office four days per week, with one day each week working remotely. 
Data Ticket Support
  • Serve as the primary point of contact for data-related incidents, requests, and inquiries submitted through ServiceNow.
  • Investigate and resolve data discrepancies, missing records, reporting issues, and other operational data problems.
  • Work directly with business users to gather requirements, clarify issues, and communicate resolution status.
  • Document troubleshooting steps, resolutions, and recurring issue patterns to improve support processes and knowledge sharing.
  • Escalate complex issues to the Data Engineering team when root cause analysis indicates a pipeline, integration, or platform-level problem.
Data Operations & Quality Support
  • Perform routine data validation and quality checks to ensure accuracy, completeness, and consistency across key business datasets.
  • Assist in identifying recurring data quality issues and recommend process improvements or upstream controls.
  • Support monitoring of scheduled data loads and notify the appropriate teams of failures or anomalies.
  • Help maintain operational documentation, runbooks, and support procedures for common data issues.
Ad-Hoc Data Engineering Support
  • Assist the Data Engineering team with operational tasks such as validating data loads, reviewing pipeline outputs, and troubleshooting minor ETL issues.
  • Support secure file transfer (SFTP) processes and vendor data delivery workflows.
  • Help test and validate changes to data pipelines, reports, and integrations before deployment.
  • Participate in ad-hoc projects related to data cleanup, reporting support, and process automation.
  • Collaborate with engineers and analysts to ensure timely resolution of data-related production issues.
Collaboration & Communication
  • Act as a liaison between business teams, IT support, analytics, and data engineering.
  • Translate business data into actionable technical investigations.
  • Provide clear, professional communication regarding ticket status, findings, and next steps.
  • Contribute to continuous improvement efforts for data support workflows and service delivery.
  • Bachelor's degree in Information Systems, Computer Science, Business Analytics, or a related field preferred.
  • Equivalent combination of experience, coursework, or technical certifications may be considered in lieu of a degree.
  • 2-5 years of experience in data support, business systems support, reporting support, or a related technical role.
  • Experience working with ticketing systems such as ServiceNow strongly preferred.
Required Technical Skills
  • Strong SQL skills for querying, validating, and troubleshooting data issues.
  • Experience with ServiceNow incident/request management workflows.
  • Familiarity with relational databases such as SQL Server.
  • Understanding of ETL/data pipeline concepts and enterprise data flows.
  • Proficiency with Microsoft Excel and basic data analysis techniques.
  • Strong troubleshooting and problem-solving skills
Preferred Skills
  • Exposure to Azure Data Factory (ADF) and/or Databricks.
  • Experience with SFTP processes and file-based data exchanges.
  • Basic knowledge of Python or scripting for automation and data validation.
  • Experience supporting reporting or business intelligence environments.
  • Familiarity with data quality and monitoring practices.

Key Competencies: 
  • Data Analysis & Troubleshooting: Investigates data discrepancies, identifies root causes, and resolves data-related issues with accuracy and efficiency. 
  • SQL & Data Validation: Utilizes SQL and data validation techniques to ensure data integrity, accuracy, and consistency across enterprise systems. 
  • Technical Support & Service Management: Provides responsive support through ServiceNow, managing incidents and requests while delivering excellent customer service. 
  • Data Operations & Quality Management: Monitors data pipelines, validates data loads, and supports ongoing data quality and operational reliability. 
  • Cross Functional Collaboration: Partners effectively with business users, Data Engineering, IT, and Analytics teams to resolve issues and improve data processes.
  • Process Improvement & Documentation: Maintains support documentation, identifies recurring issues, and recommends process enhancements that improve efficiency and service delivery. 

How This Role Demonstrates Our Values: 
  • Integrity: Ensures the accuracy, reliability, and security of enterprise data while following established support and governance practices. 
  • Collaboration: Works closely with business partners, Data Engineering, IT, and Analytics teams to resolve issues and support business operations. 
  • Excellence: Delivers timely, high quality data support, maintains strong service levels, and contributes to reliable data operations. 
  • Critical Curiosity: Investigates root causes, identifies opportunities for automation and process improvement, and continuously expands technical knowledge to enhance data support capabilities.
  • Competitive compensation package, including base salary and performance-based bonus opportunities
  • 401(k) plan with 100% company match up to 4%
  • Comprehensive health coverage: medical, dental, vision, HSA, and FSA options
  • Generous paid time off: 20 days PTO, company holidays, and sick time
  • Paid parental leave
  • Company-paid life insurance and disability coverage
  • Employee Assistance Program (EAP): mental health, financial, and wellness support
  • Professional development: tuition reimbursement and growth opportunities
  • Commuter and transit benefits

Successful applicants will exemplify strong ethics, integrity, respect for others, accountability for decisions and actions, and good citizenship.
Maintaining a reliable, uninterrupted high speed internet connection is a requirement of hybrid or remote positions.
All job duties and responsibilities must be performed within the guidelines of the Verus Residential Mortgage Employee Handbook and established company policies and procedures. It is the responsibility of each employee to maintain confidentiality of the company, its clients and to follow applicable laws and regulations in the performance of duties.
Verus Mortgage Capital is an equal opportunity employer. All qualified applicants are welcomed to apply and will receive consideration for employment without unlawful discrimination because of a person's race, religious creed, color, national origin, citizenship status, ancestry, marital status, sex, age, or sexual orientation, or because of a person's disability or medical condition.

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