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Reference Data Analyst Jobs in Minneapolis, MN (NOW HIRING)

Huntington

Segment Data Officer - 3

Minneapolis, MN · On-site +1

$125K - $255K/yr

... reference data, ensuring the data produced by the segment is fit for purpose for both regulatory and management reporting, prioritizing data and analytics-related issues and needs, managing data ...

LRS

Digital Analyst

Minneapolis, MN · On-site

$25 - $50/hr

... References (SDR), reporting, insights, and interpreting results Experience conducting analyses of digital data using Adobe Analytics, Adobe Customer Journey Analytics Experience leading and coaching ...

Niron Magnetics

Data Architect

Minneapolis, MN · On-site

$66.50 - $85.50/hr

... and reference designs that make the estate scalable, secure, and maintainable. Assess where the ... Enable Analytics, Reporting, and AI Partner with Manufacturing, R&D, Quality, Finance, and ...

Niron Magnetics

Data Architect

Minneapolis, MN · On-site

$66.50 - $85.50/hr

... reference designs that make the estate scalable, secure, and maintainable. • Assess where the ... Enable Analytics, Reporting, and AI • Partner with Manufacturing, R&D, Quality, Finance, and ...

Danaher

AI Process Automation Analyst

Chaska, MN · On-site

... reference and research laboratories, and physician offices around the world. Every hour around the ... Data skills: SQL/Python, Power BI, API experience (software systems connectivity and exchange of ...

Danaher

AI Process Automation Analyst

Chaska, MN · On-site +1

... reference and research laboratories, and physician offices around the world. Every hour around the ... Data skills: SQL/Python, Power BI, API experience (software systems connectivity and exchange of ...

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All JobsReference Data Analyst JobsReference Data Analyst Jobs in Minneapolis, MN

Reference Data Analyst information

See Minneapolis, MN salary details

$35.5K

$86.3K

$142K

How much do reference data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for reference data analyst in Minneapolis, MN is $86,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

What is a reference data analyst?

Reference Data Analysts are professionals who manage and maintain the accuracy, consistency, and integrity of reference data within an organization. Reference data includes standardized information such as customer IDs, product codes, geographic locations, and other essential data used across multiple systems. These analysts ensure that this data is properly categorized, up-to-date, and aligned with regulatory requirements, supporting business operations and decision-making. Their role often involves data validation, cleansing, quality checks, and collaborating with various departments to resolve data discrepancies.

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

To thrive as a Reference Data Analyst, you need strong analytical skills, attention to detail, and a background in finance, business, or information systems. Familiarity with data management tools such as SQL, Excel, and reference data systems like Bloomberg or Reuters, as well as data governance frameworks, is typically required. Strong communication, problem-solving abilities, and stakeholder management are vital soft skills in this role. These competencies ensure accurate data maintenance, support regulatory compliance, and facilitate effective decision-making within financial organizations.

What are some common challenges reference data analysts face when maintaining data accuracy across multiple systems?

Reference Data Analysts often encounter the challenge of ensuring data consistency and integrity across various platforms and departments. Discrepancies can arise due to differences in data formats, frequent updates, or incomplete information from upstream sources. To address these issues, analysts frequently collaborate with IT, operations, and business teams to implement validation checks, resolve discrepancies, and establish standardized data governance practices. Being detail-oriented and proactive in communication is essential for success in this role.

What is the difference between Reference Data Analyst vs Data Quality Analyst?

AspectReference Data AnalystData Quality Analyst
Required CredentialsBachelor's in Data Management, IT, or related field; certifications like CDMPBachelor's in Data Science, IT, or related; certifications like CDMP or DAMA
Work EnvironmentFinancial institutions, healthcare, retail; focus on maintaining reference dataVarious industries; focus on assessing and improving data accuracy
Employer & Industry UsageUsed in organizations managing master/reference dataUsed across industries to ensure data integrity and quality

The main difference is that Reference Data Analysts focus on managing and maintaining reference data sets used across systems, while Data Quality Analysts evaluate and improve the overall accuracy and integrity of data. Both roles require similar skills and certifications but serve different aspects of data management.

What are popular job titles related to Reference Data Analyst jobs in Minneapolis, MN?

For Reference Data Analyst jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Reference Data Analyst jobs in Minneapolis, MN look for?

The top searched job categories for Reference Data Analyst jobs in Minneapolis, MN are:

Reference Data Analyst jobs near you
Infographic showing various Reference Data Analyst job openings in Minneapolis, MN as of July 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $86,261 per year, or $41.5 per hour.

Data Architect

Minneapolis, MN • On-site

Tata Consultancy Service Limited
See more jobs at Tata Consultancy Service Limitedexternal

$160K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

Must Have Technical/Functional Skills
• Modern data architecture across ingestion, lakehouse/warehouse, semantic/analytics layer, AI/ML integration, and GenAI workloads.
• Cloud-native data platforms such as Azure Synapse / Fabric, Databricks, Snowflake, BigQuery, Redshift or equivalent.
• Lakehouse and medallion patterns, Delta Lake, data warehousing, data marts, and enterprise analytical modeling.
• ETL/ELT and orchestration tools such as Azure Data Factory, Airflow, dbt, AWS Glue, Informatica or equivalent.
• Data modeling across conceptual, logical, and physical models, metadata, lineage, master/reference data, and data quality principles.
• Data governance, privacy, security, compliance, cataloging, and stewardship tools such as Microsoft Purview or Collibra concepts.
• Streaming and integration patterns using Kafka, Event Hubs, APIs, and batch/near-real-time data pipelines.
• Working knowledge of AI/ML, GenAI, RAG, vector databases, and how data platform design enables AI workloads.
Roles & Responsibilities
• Lead technical discovery workshops with business, data, analytics, and IT stakeholders to understand target outcomes and constraints.
• Translate business objectives into target-state data architectures, value-driven solution blueprints, and phased transition roadmaps.
• Design end-to-end modern data platforms including ingestion, lakehouse/warehouse, analytics, AI/ML, and GenAI enablement layers.
• Define reference architectures, integration patterns, data models, data quality controls, governance mechanisms, and security architecture.
• Assess legacy data environments and recommend modernization approaches that balance scalability, cost, performance, and delivery practicality.
• Support proposals, RFIs/RFPs, PoCs, architecture diagrams, cost modeling, sizing, and solution defense sessions.
• Partner with cloud, AI, cybersecurity, application, and delivery teams to ensure architectures are secure, scalable, compliant, and delivery-ready.
• Mentor data engineers and junior architects on architecture patterns, engineering standards, and reusable assets.
Generic Managerial Skills, If any
• Strong client-facing communication and executive presentation skills.
• Ability to facilitate workshops and align business, IT, enterprise architecture, security, and delivery stakeholders.
• Technical leadership, mentoring, estimation support, solution governance, risk management, and proposal support.
• Ability to balance innovation, implementation feasibility, cost, and commercial viability.
Salary Range: $160,000 -$220,000 year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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