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Data Support Analyst Jobs (NOW HIRING)

The Trade Desk

Data Support Analyst I

Ventura, CA · On-site

... data analysis methods and tools. * Act as a connector between Data Support and other TTD teams to resolve data and segment-related issues, and contribute to internal enablement work - process ...

Honeywell

Energy Analyst (Data Support)

Raleigh, NC · On-site

$72K - $95K/yr

You will develop and/or enhance data reports to support the regular required reporting submissions. You will analyze data for trends in program delivery. Honeywell helps organizations solve the world ...

Honeywell

Energy Analyst (Data Support)

Raleigh, NC · On-site

$72K - $95K/yr

You will develop and/or enhance data reports to support the regular required reporting submissions. You will analyze data for trends in program delivery. Honeywell helps organizations solve the world ...

Harvey

Support Operations Data Analyst

San Francisco, CA · On-site

$112K - $168K/yr

As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the User Operations org. You'll build and maintain the dashboards, reports, and feedback loops that tell us ...

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Data Support Analyst information

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$37

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How much do data support analyst jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data support analyst in the United States is $37.09, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $44.71 per hour, depending on experience, location, and employer.

Is a data support analyst well paid?

Data support analysts typically earn a competitive salary that varies by experience, location, and industry. Entry-level positions may start lower, but with skills in data management, SQL, and analytics tools, salaries can increase significantly with experience and certifications. Overall, it is considered a well-paying role within the data and IT fields.

What are the key skills and qualifications needed to thrive as a data support analyst?

To thrive as a Data Support Analyst, you need strong analytical skills, attention to detail, and a background in data management, often supported by a degree in information technology, computer science, or a related field. Familiarity with database systems (like SQL), data visualization tools (such as Tableau or Power BI), and ticketing systems is typically required. Excellent problem-solving abilities, communication skills, and customer service orientation help you stand out in this position. These skills and qualities are crucial for ensuring data accuracy, resolving user issues efficiently, and supporting data-driven decision-making within organizations.

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

AspectData Support AnalystData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related; certifications like Microsoft Certified Data Analyst or Tableau
Work EnvironmentSupport teams, IT departments, data management systemsData-driven departments, business intelligence teams, analytics departments
Employer & Industry UsageIT firms, finance, healthcare, retailMarketing, finance, consulting, research

The Data Support Analyst primarily focuses on maintaining data systems, troubleshooting issues, and supporting data infrastructure. In contrast, the Data Analyst interprets data, creates reports, and provides insights for decision-making. While both roles require technical skills and data knowledge, their core responsibilities differ, with the Data Support Analyst emphasizing system support and the Data Analyst emphasizing data analysis and reporting.

What is a data support analyst?

A Data Support Analyst is a professional responsible for managing, analyzing, and troubleshooting data within an organization. They ensure that data systems run smoothly, assist users with data-related issues, and help maintain the quality and integrity of data. Data Support Analysts often work with databases, generate reports, and support business operations by providing insights from data. Their role bridges the gap between IT and business teams, ensuring data is accessible, accurate, and secure.

How does a data support analyst typically collaborate with other departments within an organization?

Data Support Analysts frequently work with teams such as IT, business operations, and data engineering to troubleshoot data issues, clarify requirements, and ensure data accuracy. They often act as a bridge between technical staff and business users, translating data needs and troubleshooting requests. Effective communication and collaboration are essential, as you may be called upon to participate in cross-functional meetings, assist in data integration projects, and support end-users in understanding data reports or dashboards.
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Data Support Analyst jobs near you
Infographic showing various Data Support Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $77,155 per year, or $37.1 per hour.

Data Support Analyst

Invictus Capital Partners

Bloomington, MN • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 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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