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

Milacron is looking for a Commercial Operations Data Analyst to join our team in Batavia, Ohio . In this position, you will support the Commercial organization by delivering data-driven insights that ...

We are seeking a highly skilled Data Analyst focused on Process Improvement to join our team. The ideal candidate will leverage data, automation, and structured problem-solving to identify and ...

Perform Data Validation and Analysis on data loaded by process and provide feedback to First Student locations to achieve business goals. * Play a support role for First Student Products for ...

Administrative A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform business decision-making. They work with large datasets, employing statistical methods ...

I have an opportunity for "ETL Data Analyst - Cincinnati, OH (Remote till COVID)" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume ...

Use advanced techniques that integrate traditional and non-traditional data sets to enable analytical solutions. Responsible and accountable for risk by openly exchanging ideas and opinions ...

CPN Legal is seeking a detail-oriented Reporting & Data Solutions Analyst to join our growing team supporting law firms with financial and operational reporting services. This role focuses on ...

Showing results 21-40

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.
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:
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.

Business Data Analyst

Miracle software system

Cincinnati, OH • On-site

Full-time

Re-posted 19 days ago


Job description

Company Description
Miracle Software Systems, a financially stable private firm founded in December 1994, is an end-to-end Business Integration & SOA specialist firm providing services to help both large & mid-sized businesses transition their IT to a service-oriented architecture. We offer both architectural & implementation services. We have deep industry expertise in multiple vertical industries such as Banking & Financial Services, Insurance, Healthcare & Life- sciences, Retail, Telecom, and Manufacturing.
We are well established, having a presence in 5 continents around the globe and been serving the industry for the past 20 years. Given our focus on Integration & SOA, we are more nimble, flexible, and quicker in delivering solutions to our clients and given our deep industry expertise can tailor our services & solutions around your needs. We are also able to support multiple vendor stacks such as IBM, SAP, and Oracle.
Job Description
Qualifications
• Manage master data, reference data, metadata, content and document management systems and business data requirements
• Server as business steward of the metadata repository, including related enterprise processes related to its use. Contribute content to and maintain the repository. Serve as the main point of contract for users of the repository for non-technical concerns.
• Create and maintain training curriculum for metadata repositories including how-to, standards, and best practices. Contribute to all training material and documentation.
• Partner with the Item Data Governance Council to define and maintain enterprise business data management policies.
• Provide guidance on non-technical changes to metadata repository with data owners, metric owners, and Client Technology.
• Asses and analyze the non-technical impacts of any data policy changes on the metadata repository. Work with Client Technology to create a full impact analysis (technical and non-technical). Work with Corporate Information Security (CIS) on requirements for protecting data.
• Manage implementation and administration of data policy changes from a non-technical standpoint.
• Audit and identify (non-technical) areas that are out of compliance with enterprise master data management processes, and assist in efforts to achieve compliance.
• Participate in enterprise master data management vision and strategies, including tools, architecture, and processes related to the capture and exchange of data.
• Support the implementation of a standardized reporting vision across the enterprise through ensuring that the metadata repository contains the appropriate metrics with correct source and calculation definitions.
• Review and enhance processes that involve master data and reference data including impact analysis in phased implementations.
Additional Information
All your information will be kept confidential according to EEO guidelines.