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Data And Analytics Jobs in Tennessee (NOW HIRING)

Data & Analytics Engineer

Nashville, TN · On-site

$110K - $132K/yr

Data & Analytics Engineer Category: Analytics and Emerging Digital Technologies Main location: United States, Tennessee, Nashville Position ID:J0726-1758 Employment Type: Full Time Position ...

Data & Analytics Engineer, ServiceNow

Nashville, TN · On-site

$110K - $132K/yr

The Data & Analytics Engineer, ServiceNow is responsible for delivering trusted reporting, insights, and performance measurement across the ServiceNow platform and product domains. This role defines ...

We're seeking a Data Analytics & Business Intelligence Analyst who is passionate about transforming complex information into meaningful business insights that drive strategic decisions across the ...

We're seeking a Data Analytics & Business Intelligence Analyst who is passionate about transforming complex information into meaningful business insights that drive strategic decisions across the ...

We're seeking a Data Analytics & Business Intelligence Analyst who is passionate about transforming complex information into meaningful business insights that drive strategic decisions across the ...

Support predictive and prescriptive analytics initiatives by leveraging statistical models and data-driven recommendations. * Monitor and analyze real-time data feeds and operational metrics where ...

Support predictive and prescriptive analytics initiatives by leveraging statistical models and data-driven recommendations. * Monitor and analyze real-time data feeds and operational metrics where ...

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Showing results 1-20

Data And Analytics information

See Tennessee salary details

$22

$49

$85

How much do data and analytics jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for data and analytics in Tennessee is $49.69, according to ZipRecruiter salary data. Most workers in this role earn between $39.90 and $56.30 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in Data and Analytics roles, and how can they be addressed?

Professionals in Data and Analytics often face challenges such as managing large volumes of complex data, ensuring data quality, and translating technical findings into actionable business insights. These challenges can be addressed by developing strong data management practices, using robust data cleaning and validation tools, and improving communication skills to present analytics results to non-technical stakeholders. Collaborating closely with cross-functional teams and staying updated on the latest analytics technologies also help in overcoming these hurdles and delivering impactful results.

What is the difference between Data And Analytics vs Data Analyst?

AspectData And AnalyticsData Analyst
CredentialsOften requires degrees in data science, statistics, or related fields; certifications like CAP, Microsoft Certified Data AnalystTypically requires a bachelor's degree in data-related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentWorks with large datasets, data warehouses, and analytics tools across departmentsFocuses on data cleaning, visualization, and reporting for specific projects
Industry UsageUsed across industries for strategic insights and decision-makingCommonly employed in business, finance, healthcare for operational analysis

While Data And Analytics professionals develop comprehensive data strategies and work with complex tools, Data Analysts focus on interpreting data, creating reports, and providing actionable insights. Both roles are essential but differ in scope and depth of data handling.

What does a data analytics job do?

A data analytics job involves collecting, processing, and analyzing large datasets to identify trends, patterns, and insights that support business decision-making. Professionals in this role use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail. They may work in various industries, providing reports and recommendations to improve operations and strategy.

What jobs are there in data analytics?

Jobs in data analytics include roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, Data Engineer, and Data Architect. These positions typically require skills in statistical analysis, data visualization, and proficiency with tools like SQL, Python, or R, often supported by certifications or relevant experience.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and statistical analysis, often through online courses or certifications. Employers value experience and analytical ability regardless of age.

What is data and analytics?

Data and analytics refers to the process of collecting, processing, and analyzing large sets of data to extract valuable insights that inform business decisions. This field encompasses techniques such as data mining, statistical analysis, and the use of specialized software tools to interpret trends and patterns. Professionals in data and analytics help organizations make evidence-based choices, improve efficiency, and gain a competitive edge. Their work can impact various areas, including marketing, finance, operations, and more.

Is data analytics a good career?

Data and Analytics is a growing field with strong demand for professionals skilled in data analysis, statistical methods, and tools like SQL, Python, or R. It offers opportunities across various industries, competitive salaries, and potential for career advancement, making it a viable and rewarding career choice.

What are the key skills and qualifications needed to thrive in Data and Analytics, and why are they important?

To thrive in Data and Analytics, you need a strong background in statistics, data modeling, and analytical reasoning, often supported by a relevant degree in mathematics, computer science, or a related field. Experience with tools and platforms such as SQL, Python, R, Tableau, and data warehousing systems is typically required, and certifications like Certified Analytics Professional (CAP) or Google Data Analytics can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals translate complex data into actionable insights for stakeholders. These skills are crucial for driving data-driven decision-making and delivering measurable business value.
What are the most commonly searched types of Data And Analytics jobs in Tennessee? The most popular types of Data And Analytics jobs in Tennessee are:
What cities in Tennessee are hiring for Data And Analytics jobs? Cities in Tennessee with the most Data And Analytics job openings:
Infographic showing various Data And Analytics job openings in Tennessee as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $103,353 per year, or $49.7 per hour.

Specialist, Engineer, Data & Analytics

Monogram Foods

Memphis, TN • On-site

Full-time

Re-posted 26 days ago


Monogram Foods rating

5.8

Company rating: 5.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

347th of 434 rated food and drinks producers


Job description

Job Summary:
Monogram Foods is a leading food manufacturer specializing in delivering quality foods and snacks. As a Specialist Engineer in Data & Analytics, you will play a key role in transforming data into actionable insights to enhance business operations.
Responsibilities:
• Build and maintain Power BI dashboards, scorecards, and reports that deliver clear, actionable insights.
• Partner with business stakeholders to understand needs and translate them into analytics solutions.
• Define and deliver meaningful KPIs and metrics within your assigned domain.
• Ensure data accuracy, consistency, and trustworthiness following governance standards.
• Investigate and resolve data or reporting issues using proven technical solutions.
• Monitor report usage and recommend practical improvements.
• Work with modern data platforms such as Microsoft Fabric and Delta Lake.
• Share knowledge and provide informal guidance to
• Lead small, well‑defined analytics efforts as needed.
Qualifications:
Required:
• Excellent analytical, problem-solving and decision making skills
• Strong leadership, communication and collaboration abilities
• Ability to manage multiple projects and tasks in a fast-paced and dynamic environment
• 3–7 years of experience in data analytics, business intelligence, or reporting roles
• Strong experience with Microsoft Power BI, including DAX and Power Query (M)
• Experience with cloud‑based data platforms such as Microsoft Fabric, Azure analytics services, or Delta Lake
Preferred:
• Bachelor’s degree in Computer Science, Data Analytics, Statistics, or a related field preferred (or equivalent experience)
• Experience in manufacturing, supply chain, operations, or B2B environments is a plus
• Familiarity with Microsoft Dynamics 365 Finance & Operations data is a plus
Company:
Monogram Foods is a manufacturer and marketer of value-added meat products, snacks, and appetizers. Founded in 2004, the company is headquartered in Memphis, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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