1

Data Analysis Manager Jobs in Limestone, TN (NOW HIRING)

Data Science Tutor

Kingsport, TN · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Experience supporting system integrations, reporting, and data analysis.Experience with business process mapping and workflow improvement.Project management or business analysis certifications (PMP ...

Data Engineer

Afton, TN · On-site +1

$100K - $120K/yr

The Enterprise Data and Analytics team provides strategic direction, technical/functional expertise, and product management for First Quality's Data and Analytics systems and Machine Learning ...

Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing ... tasks with macros, and managing large data sets efficiently. Emphasizes practical business ...

Company description Terry Soot Management Group (TSMG) is a field data collection company founded ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Company description Terry Soot Management Group (TSMG) is a field data collection company founded ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

next page

Showing results 1-20

Data Analysis Manager information

See Limestone, TN salary details

$18.2K

$71.6K

$116.4K

How much do data analysis manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data analysis manager in Limestone, TN is $71,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,300.00 and $87,700.00 per year, depending on experience, location, and employer.

What does a data analysis manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

What are the key skills and qualifications needed to thrive as a data analysis manager?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a data analysis manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What job categories do people searching Data Analysis Manager jobs in Limestone, TN look for?

The top searched job categories for Data Analysis Manager jobs in Limestone, TN are:

What cities near Limestone, TN are hiring for Data Analysis Manager jobs?

Cities near Limestone, TN with the most Data Analysis Manager job openings:

Data Insights Analyst (8a-5p) Pharmacy Corporate - Johnson City, TN

Ballad Health

Johnson City, TN • On-site

Full-time

Posted 10 days ago


Key responsibilities

  • Work with leaders and subject-matter experts to clarify business questions and develop reports, dashboards, scorecards, datasets, and analyses that support decision-making.

  • Extract, prepare, validate, analyze, and interpret data from clinical, operational, financial, and administrative sources using various tools and technologies.

  • Define, document, and validate key performance indicators, business rules, data definitions, and reporting methodologies.


Ballad Health rating

6.5

Company rating: 6.5 out of 10

Based on 230 frontline employees who took The Breakroom Quiz

614th of 898 rated healthcare providers


Job description

Job Description:
Summary:
The Data & Insights Analyst II serves as an analytic partner to an assigned department, service line, or operational area. The position works with leaders, subject-matter experts, and technical teams to translate business, clinical, financial, quality, and operational questions into reliable measures, analyses, reports, dashboards, and other decision support solutions. Experienced Epic users desired.
The Analyst supports the full analytics lifecycle, including requirements gathering, data preparation, data quality assessment, metric definition, validation, analysis, visualization, interpretation, documentation, and ongoing maintenance. The position is expected to develop a strong understanding of the assigned business area and to help stakeholders use data more effectively to improve performance, outcomes, efficiency, and decision-making. Data & Insights Analysts may be embedded within a department or service line while receiving professional support, technical guidance, training, and access to specialized resources through the Analytics Center of Excellence.
The Analyst works within an established request intake and prioritization process and collaborates with analytics engineers, data engineers, data scientists, information technology teams, application teams, and other partners when broader technical or advanced analytic support is required.
The Data & Insights Analyst II works with a high degree of independence, manages moderately complex analytic assignments, and may serve as the primary analytics contact for an assigned business area. The position may also provide guidance and informal mentorship to less-experienced analysts.
TECHNICAL SKILLS
• Working knowledge of data analysis, data preparation, data validation, and data visualization principles.
• Proficiency using SQL or another query language to retrieve, join, filter, summarize, and validate structured data.
• Experience with at least one business intelligence or visualization tool, such as Microsoft Power BI, Tableau, or a comparable platform.
• Experience with Python, R, SAS, SPSS, or another programming or statistical analysis tool is preferred.
• Strong spreadsheet skills, including the ability to organize, reconcile, analyze, and present data accurately.
• Understanding of relational data concepts, including tables, fields, keys, joins, grain, and data dependencies.
• Knowledge of basic statistical concepts, including rates, distributions, variation, comparisons, trends, confidence, and appropriate interpretation of findings.
• Ability to identify and investigate data-quality issues, inconsistencies, unexpected results, and potential sources of bias or error.
• Ability to translate business or clinical questions into clear analytic requirements, measures, and deliverables.
• Ability to distinguish between a reporting request and a broader business problem requiring clarification, redesign, or additional analysis.
• Ability to manage moderately complex projects and multiple competing priorities with limited supervision.
• Ability to communicate technical information clearly to audiences with varying levels of analytic expertise.
• Ability to develop concise written summaries, visualizations, presentations, and recommendations.
• Strong critical-thinking, problem-solving, organizational, and documentation skills.
• Strong attention to detail while maintaining awareness of broader business objectives and intended outcomes.
• Ability to build effective working relationships with leaders, clinicians, operational staff, analysts, engineers, application teams, and other technical and nontechnical partners.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Serve as an analytic partner to assigned departments, service lines, and organizational stakeholders. Work with leaders and subject-matter experts to clarify business questions, define requirements, and develop reports, dashboards, scorecards, datasets, and analyses that support decision-making.
Extract, prepare, validate, analyze, and interpret data from clinical, operational, financial, and administrative sources using SQL, spreadsheets, business intelligence tools, Python, R, statistical software, or similar technologies.
Define, document, and validate key performance indicators, business rules, data definitions, and reporting methodologies. Promote consistent, enterprise-aligned measures and serve as a data steward by supporting data quality, completeness, consistency, lineage, accessibility, and appropriate use.
Investigate data discrepancies and collaborate with business owners, analytics teams, information technology, application teams, and engineering resources to identify root causes and implement sustainable solutions.
Conduct descriptive, diagnostic, comparative, and exploratory analyses to identify trends, variation, risks, and improvement opportunities. Communicate findings through clear visualizations, written summaries, presentations, and practical recommendations for clinical, operational, technical, and executive audiences.
Manage assigned requests and projects through established intake, prioritization, development, testing, deployment, and documentation processes. Coordinate with analytics engineers, data engineers, database administrators, data scientists, and other specialists when more advanced technical or analytic support is required.
Support responsible use of artificial intelligence by helping define business context, validate source information, develop effective instructions or prompts, assess output quality, and identify appropriate performance measures.
Participate in departmental or service-line analytics pods, workgroups, governance activities, and performance reviews. Develop subject-matter expertise in the assigned business area and provide peer support, knowledge sharing, and informal mentorship to less-experienced analysts.
Follow Ballad Health standards for privacy, security, data governance, regulatory compliance, change management, documentation, and ethical use of data and artificial intelligence. Perform other duties as assigned.
EXPERIENCE
Required: Three years of relevant professional experience in analytics, reporting, data management, business intelligence, research, information systems, healthcare operations, finance, quality improvement, or a related field.
Experience must include responsibility for working with data to answer business or operational questions and communicating findings to stakeholders. Preferred: Experience working in healthcare, pharmacy, finance, clinical
operations, quality, population health, supply chain, or another regulated or data-intensive environment; experience serving as an analytic partner to a department, service line, or operational team; experience developing dashboards, automated reports, reusable datasets, scorecards, or other analytic products; experience defining, documenting, or validating performance measures and business rules; experience working with electronic health record, claims, financial, operational, or enterprise data.
Requirements:
Bachelor's degree in data analytics, statistics, mathematics, computer science, information systems, health informatics, public health, economics, finance, engineering, business analytics, or another quantitative or related field., A relevant master's degree may substitute for up to two years of the required professional experience.
Experience with EPIC is required.
Work Requirements:
Shift: Day
On Call: No
Weekends: No
Travel Required: No Travel
Shift Details: 8a-5p
City/State: Johnson City, TN
Location:
Ballad Health Corporate

What Ballad Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Ballad Health logo

About Ballad Health

Sourced by ZipRecruiter

Become a part of the Ballad Health story. Together, we are transforming our region. We're making communities healthier. We're expanding access to critical services in rural areas.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Johnson City, TN, US