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Master Data Analyst Jobs in Kentucky (NOW HIRING)

Neura Market

$140 - $149/hr

A Master's degree is preferred (e.g., MBA, MS in Engineering, or Data Science). * Minimum of 5 years of experience in a manufacturing, business intelligence, or data analytics role with a focus on ...

Sazerac Company

Sales Data Coordinator

Louisville, KY · On-site

They will manage all master data within VIP SRS. In collaboration with IT, they will drive data ... Supports the sourcing, analysis, integration, and management of North America sales data. Partner ...

Sazerac Company

Sales Data Coordinator

Louisville, KY · Hybrid

They will manage all master data within VIP SRS. In collaboration with IT, they will drive data ... Supports the sourcing, analysis, integration, and management of North America sales data. Partner ...

Puget Sound Energy

$73 - $103/hr

The Construction Projects Analyst partners with internal PSE departments and service providers to ... Work orders, notifications, technical master data, and non-consumption billing: * Supports ...

New

The Clorox Company

$91 - $170/hr

Enterprise Data Execution and Stewardship Execute customer, product, hierarchy, and other master ... skills • Analytical and decision-making • Planning and organization • Adaptability ...

Hubbell Incorporated

$95 - $130/hr

Analyze manufacturing business requirements and translate them into effective SAP Production ... master data * Partner with PLM resources to support manufacturing-related processes and ...

New

Brightline Trains LLC

$230 - $280/hr

... analytics, reporting, data visualizations, master data management, knowledge engineering, real world data, data acquisition, and integration - while owning the strategy, integration, and optimization ...

NextGenEnergyJobs

$140 - $170/hr

Manager, Supply Chain Analytics and Systems As a member of the Data Center Supply Chain team, the ... Master Data Management: Establish data center supply chain master data, including Bills of ...

New

LifeStance Health Inc.

$190 - $237/hr

... analytical use cases into model designs, validate that implemented data products conform to the approved design, and steward master data resolution.The role owns the logical and physical design of ...

Surescripts

$124 - $151/hr

... Analyst -- Healthcare Data independently leads analytics workstreams that produce actionable ... Master's degree in a quantitative field preferred. Surescripts embraces flexibility through its ...

New

Analog Devices, Inc.

$268 - $289/hr

Build and maintain master data models for supply chain planning using predictive analytics, demand forecasting models, and optimization algorithms to support accurate planning, inventory management ...

New

HANDLE Global

Research Analyst

Prospect, KY · On-site

Research Analyst - Help Shape the Future of Healthcare Analytics! Why HANDLE : HANDLE Global, a ... Master Data Steward: Accurately create and maintain product records in our master database. Your ...

Centivo

$180 - $280/hr

Working closely with Product, Engineering, Analytics, Operations, Finance, Commercial, and ... Lead enterprise data governance, metadata, lineage, master data management, business glossary ...

Posted today

Simplot Company

$90 - $120/hr

This role ensures master data is consistent, accurate, usable, and analytically valuable across ... Support audits, reliability growth modeling, cost analysis, data reviews, continuous improvement ...

New

Brooks Sports Inc

$145 - $232/hr

... delivery, analytics enablement, and change adoption. You will establish the end-to-end digital data thread linking critical master data, transactional data, process milestones, controls, KPI ...

Technology Council of Central Pennsylvania

$110 - $150/hr

With potential exposure to D365, you'll contribute to innovative data integrations and analytics ... Familiarity with data governance, master data management, and data quality practices

New

Quantiphi

$140 - $190/hr

Influence and align business, legal, compliance, security, analytics, and technology stakeholders ... Drive Master Data Management (MDM) and Reference Data governance across enterprise systems.### **AI ...

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All JobsMaster Data Analyst JobsMaster Data Analyst Jobs in Kentucky

Master Data Analyst information

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$17

$38

$66

How much do master data analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for master data analyst in Kentucky is $38.52, according to ZipRecruiter salary data. Most workers in this role earn between $26.54 and $48.03 per hour, depending on experience, location, and employer.

What is a master data analyst?

Master Data Analysts are professionals responsible for managing and maintaining an organization's critical business data, often referred to as 'master data.' This includes key information about customers, products, suppliers, and other core business entities. Their work ensures that data is accurate, consistent, and accessible across different departments and systems. Master Data Analysts also help establish data governance standards, support data integration projects, and troubleshoot data quality issues to support business operations and decision-making.

What does a master data analyst do?

A master data analyst monitors and examines master and key data within a company or organization. As a master data analyst, your job duties include developing databases to support business goals, implementing standards for collecting and storing data, and using data to gain key business insights. The career typically requires a bachelor’s degree in IT, data science, or a related field and work experience in data analysis or software programming. Additional qualifications include strong analytical and computer skills, as well as an understanding of database architecture.

What are the key skills and qualifications needed to thrive as a master data analyst, and why are they important?

To thrive as a Master Data Analyst, you need a strong background in data management, analytics, and a relevant degree such as computer science, information systems, or business. Familiarity with data management tools like SAP, Oracle, SQL, and experience with data governance frameworks or related certifications are typically required. Excellent attention to detail, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are critical for ensuring data accuracy, supporting business decisions, and maintaining consistent data standards across the organization.

How does a master data analyst typically collaborate with other departments to maintain data quality?

A Master Data Analyst regularly works with teams such as IT, finance, supply chain, and operations to ensure data consistency and integrity across systems. This collaboration often involves participating in cross-functional meetings, clarifying data requirements, and resolving discrepancies in master data. Effective communication and problem-solving skills are essential, as the analyst serves as a bridge between technical and business stakeholders to implement data governance policies and improve data processes.

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

AspectMaster Data AnalystData Analyst
CredentialsBachelor's degree in data-related field; certifications like CDMP or DAMA often preferredBachelor's degree in statistics, mathematics, or related field; certifications are optional
Work EnvironmentFocus on managing and maintaining master data across departmentsAnalyze data sets to generate reports and insights for decision-making
Industry UsageCommon in organizations with complex data management needsWidespread across various industries for data analysis tasks

The main difference is that a Master Data Analyst specializes in managing and maintaining core organizational data, ensuring data quality and consistency. In contrast, a Data Analyst primarily focuses on analyzing data to support business decisions. Both roles require strong analytical skills, but the Master Data Analyst emphasizes data governance and integrity, often working closely with IT and data management teams.

What jobs can I do with a master's in data analytics?

A master's in data analytics qualifies you for roles such as data analyst, data scientist, business intelligence analyst, and data engineer. These positions involve analyzing large datasets, creating reports, and using tools like SQL, Python, or R to support decision-making across various industries.
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Master Data Analyst jobs near you
Infographic showing various Master Data Analyst job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,119 per year, or $38.5 per hour.

Lead AI & Data Engineer

Brown-Forman Corporation

Louisville, KY • On-site

$110K - $132K/yr

Full-time

Posted 26 days ago

Brown‑Forman rating

7.7

Company rating: 7.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

126th of 443 rated food and drinks producers

Job description

CURRENT EMPLOYEES, CONSULTANTS, AND AGENCY PARTNERS:
If you currently work for Brown-Forman, please apply by clicking the Careers icon on the Workday portal.
For best results, use Google Chrome to view this page.
Meaningful Work From Day One
Join our team and help shape the data foundation that will power Brown-Forman's next generation of analytics and AI capabilities. As the Lead AI & Data Engineer, this role offers the opportunity to accelerate our digital transformation by building a trusted, scalable cloud data foundation essential for analytics, reporting, Master Data Management (MDM), and future AI capabilities. Bring strong engineering discipline, curiosity, and business partnership to solve meaningful problems, modernize how we work with data, and make a visible impact across the enterprise. Collaborating closely with business and technology teams, this position will translate high-value business problems into production-grade data solutions, while also helping to shape next-generation AI applications such as RAG, conversational AI, and agentic workflows.
What You Can Expect
  • Business partnership and problem definition: Partner directly with business stakeholders to understand needs, clarify ambiguity, and translate business problems into clear technical requirements, data products, and delivery plans.

  • Cloud data-platform modernization: Help drive the modernization of data infrastructure from on-premises platforms to cloud-based solutions. Design and implement scalable data lakehouse patterns that support reliable ingestion, transformation, storage, and consumption of enterprise data.

  • Data pipelines and SaaS integration: Partner with Data Engineering teams to design, build, and operate resilient, reusable ETL/ELT pipelines using Python, SQL, APIs, and cloud-native services. Collaborate on integrating data from SaaS platforms, enterprise applications, and other source systems into the enterprise data ecosystem while adhering to established data architecture standards, governance, and controls.

  • Data modeling, quality, and Master Data Management (MDM) enablement: Develop analytical models, AI-enabled solutions, and decision-support capabilities that drive business value. Work closely with Data Engineering, MDM, and business stakeholders to identify, validate, and prepare trusted data needed for reporting, advanced analytics, machine learning, and intelligent automation initiatives.

  • AI-ready data foundations: Prepare governed, discoverable, and high-quality data that powers LLM, RAG, vector-search, conversational AI, and agentic applications. As the enterprise data foundation evolves, contribute to the design, development, and deployment of AI-enabled business solutions. Partner with business stakeholders and the AI Center of Excellence to deliver secure, scalable solutions that adhere to governance, security, compliance, and responsible AI standards.

  • Advanced analytics and reporting modernization: Enable trustworthy, performant datasets for Tableau, AWS Quick, and other reporting experiences. Support the modernization and rationalization of reporting layers as the cloud data platform evolves.

  • Engineering excellence: Develop, test, deploy, monitor, and document production-grade data solutions. Establish high standards for code quality, observability, reliability, security, and maintainability.

  • Technical leadership: Bring a pragmatic, hands-on approach to solving complex problems. Share engineering practices, coach peers, and help raise the team's capability in cloud data engineering and AI-enabled delivery.

What You Bring to the Table
  • 3+ years of dedicated experience in Data Science, Data Engineering, or AI, or 7+ years of combined work and education experience.

  • Experience building and deploying production-ready data and AI solutions. Strong understanding of modern data architectures, cloud technologies, and analytical platforms, with the ability to select and apply the appropriate tools for a given business challenge.

  • Strong Python and advanced SQL skills, with the ability to build scalable, maintainable, and well-tested data pipelines and optimize complex transformations and queries.

  • Experience partnering with Enterprise Architecture, Integration, and Data Engineering teams to support the design and implementation of modern data lakehouse and cloud data platform architectures that enable advanced analytics, AI, and business solutions.

  • Proven ability to work directly with business stakeholders, translate non-technical needs into technical requirements, and communicate technical decisions and tradeoffs clearly.

  • Experience integrating disparate systems through APIs, batch interfaces, and SaaS platforms, with attention to reliability, security, monitoring, and error handling.

  • Experience with data modeling, data quality controls, reconciliation, lineage, and operational support for enterprise data pipelines.

  • Familiarity with Master Data Management concepts, including master-data domains, data stewardship, data quality rules, match/merge logic, survivorship, golden records, and governance.

  • Experience enabling BI and reporting tools such as Tableau and/or AWS Quick.

  • Exposure to model evaluation, prompt engineering, or model customization techniques.

What Makes You Unique
  • Experience with AWS cloud services is preferred, including designing and operating scalable data, analytics, and AI solutions.

  • Experience with Databricks and modern data lakehouse architectures is preferred, including data engineering, analytics enablement, governance, and preparation of trusted datasets that support advanced analytics and AI applications.

  • Experience building or supporting RAG applications, conversational AI solutions, AI agents, or LLM-powered business applications is preferred.

  • Familiarity with Hadoop, Cloudera, and/or Impala environments is a plus.

Working Arrangement
In-office at the Brown-Forman Louisville, Kentucky Corporate Headquarters Monday to Thursday, with flexibility to work remotely on Fridays.
Who We Are
We believe great people build great brands. And we know there is Nothing Better in the Market than a career at Brown-Forman. Being a part of Brown-Forman means you will grow both personally and professionally. You will have the opportunity to solve problems, seize opportunities, and generate bold ideas. You will belong to a place where teamwork matters and where you are encouraged to bring your best self to work.
What We Offer
Total Rewards at Brown-Forman is designed to engage our people to ensure sustainable and profitable growth for generations to come. As a premium spirits company, we offer equitable pay structures for individual and company performance alongside a premium employee experience. We offer a range of premium benefits that reflect our company values and meet the needs of our diverse workforce.#LI
Requisition Type:
Employee
Management Level:
Leader
Global Job Level:
L2
Number of Openings Available:
1

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