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Data Analyst Jobs in Cold Spring, KY (NOW HIRING)

RH Aero Systems

ERP Master Data Analyst

Mason, OH · On-site

RH Aero is seeking a hands-on Master Data Specialist to support enterprise master data management, financial analysis, global data compliance, and analytics transformation efforts tied to a major ...

Express Specialty Recruiting Group

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Supply Chain Data Analyst

Cincinnati, OH · On-site

$70K - $76K/yr

My client needs a Supply Chain Data Analyst due to growth! If selected, you will receive the following benefits : * Medical/Dental/Vision * 401k * PTO Job overview: * Use Excel and our tools ...

Kemper

Senior Data Systems Analyst

Cincinnati, OH · On-site

$82K - $104K/yr

The Data Systems Analyst serves as an independent quality function within the Data Engineering organization, partnering closely with business stakeholders, data engineers, data architects, product ...

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All JobsData Analyst JobsData Analyst Jobs in Cold Spring, KY

Data Analyst information

See Cold Spring, KY salary details

$33.1K

$80.3K

$132.2K

How much do data analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data analyst in Cold Spring, KY is $80,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Cold Spring, KY? The most popular types of Data Analyst jobs in Cold Spring, KY are:
What cities near Cold Spring, KY are hiring for Data Analyst jobs? Cities near Cold Spring, KY with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Cold Spring, KY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $80,336 per year, or $38.6 per hour.

ERP Master Data Analyst

RH Aero Systems

Mason, OH • On-site

Other

Medical, Dental, Vision, Retirement

Re-posted 3 days ago

Job description

About RH Aero Systems:
RH Aero Systems is setting the standard for aviation support equipment and services. Through our industry-leading businesses - Rhinestahl and HYDRO Systems - we deliver capability across custom-designed Ground Support Equipment, OEM-licensed engine and airframe tooling, 26 global service centers and innovative engineered solutions for OEMs, MROs and Operators worldwide. RH Aero Systems' global headquarters are in Mason, Ohio, USA, with Regional Headquarters in Biberach, Germany and Singapore. For further details visit RHAero.com.
Job Summary:
RH Aero is seeking a hands-on Master Data Specialist to support enterprise master data management, financial analysis, global data compliance, and analytics transformation efforts tied to a major business integration and future ERP implementation.
This role will be central to improving the quality, consistency, and governance of master data across two legacy operating companies, including vendor, supplier, customer, product, financial, organizational, and reference data. The Master Data Specialist will help standardize data definitions, validate records, resolve data quality issues, support data cleanup and migration activities, and ensure master data is accurate, complete, and usable across finance, procurement, supply chain, operations, and reporting processes.
The role will also create and support BI analysis, financial reporting, KPI development, and business recommendations by turning trusted master data into actionable insights. This is not simply a data entry or report development role. It is a business-facing master data and analytics role for someone who can work across systems, functions, and data domains to strengthen data integrity, improve decision-making, and support future ERP and analytics capabilities.
Key Responsibilities:
Build RH Aero's Master Data Foundation
  • Create, update, validate, and deactivate customer, vendor, and supplier master data records according to established policies, controls, and approval workflows.
  • Evaluate the current integration landscape, including manual feeds, direct SQL access, and middleware processes, and help transition the organization to more controlled and scalable patterns.
  • Investigate and resolve vendor and supplier master data issues that affect procurement, purchase orders, invoice processing, payments, reporting, spend analysis, supplier performance, and financial controls.
  • Monitor vendor and supplier data quality metrics and recommend corrective actions to improve accuracy, compliance, and process efficiency.
  • Support vendor and supplier data cleanup, rationalization, standardization, and migration activities during ERP implementations, system upgrades, mergers, acquisitions, or process improvement initiatives.
  • Perform data quality checks to normalize records, missing fields, inconsistent naming conventions, incorrect payment information, inactive suppliers, and invalid mappings.
  • Partner with procurement, accounts payable, finance, supply chain, compliance, and IT teams to ensure vendor and supplier data is accurate, complete, controlled, and aligned to business requirements.

Qualifications and Experience:
  • Experience to master data management, data analysis, finance, procurement, business operations, and reporting functions
  • Experience with Power BI, including dashboard development, data modeling, Power Query, and DAX in a Microsoft platform.
  • Understanding of financial reporting concepts such as GL accounts, cost centers, profit centers, budgets, forecasts, actuals, accruals, payables, and variances.
  • Experience with ERP systems such as SAP, Oracle, Microsoft Dynamics, Workday, NetSuite, Coupa, Ariba, or other procurement and supplier management platforms.
  • Experience supporting vendor master data, supplier master data, procurement master data, accounts payable data, or supplier lifecycle management.
  • Familiarity with supplier onboarding, vendor validation, tax documentation, payment controls, banking controls, procurement policies, and audit requirements.
  • Knowledge of procurement and finance processes, including procure-to-pay, purchase orders, invoices, vendor payments, supplier performance, and spend reporting.
  • Experience with MDM tools, data catalog tools, workflow tools, supplier management tools, or data quality platforms.
  • Knowledge of SQL for querying and validating vendor, supplier, finance, and procurement data.
  • Experience supporting finance transformation, procurement transformation, ERP implementation, supplier data migration, or process improvement projects.
  • Familiarity with internal controls, audit requirements, compliance frameworks, segregation of duties, and vendor payment risk controls.
  • Experience with Python, Alteryx, Power Automate, or other automation tools is a plus.

Education
  • Bachelor's degree in Business, Finance, Accounting, Information Systems, Data Analytics, Supply Chain, Procurement, or a related field. Equivalent practical experience in enterprise data engineering will also be considered.

Key Competencies
  • Strong attention to detail and commitment to master data integrity.
  • Ability to structure ambiguous data issues into practical, process-driven solutions.
  • Business-facing communication and stakeholder management across finance, procurement, supply chain, operations, IT, and compliance.
  • Analytical mindset with the ability to connect master data quality to financial reporting, procurement performance, supplier management, and operational decision-making
  • Systems thinking across data, process, controls, reporting, and ERP platforms
  • Ownership mindset with strong follow-through on data cleanup, validation, issue resolution, and stakeholder requests

This role is critical to creating a single, trusted master data foundation across the business. The Master Data Specialist will help move the organization from fragmented, inconsistent, and manually maintained data toward governed, standardized, and reliable master data that supports ERP integration, financial controls, procurement and supplier management, Power BI reporting, executive KPI visibility, self-service analytics, and future AI-enabled business insights.
Other Information:
We offer a comprehensive benefits package designed to support our team's health, financial security, and overall well-being. The company offers competitive medical, dental, and vision plans, HSA and FSA plans, Mental health resources, and employee assistance programs. We offer Paid Parental Leave, Company Paid Long Term Disability, competitive 401k employer match, floating holiday, tuition reimbursement program, amongst other benefits.
We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. The company participates in E-Verify as required by law.

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