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Lead Data Analyst Jobs in Tennessee (NOW HIRING)

The Data Analyst works closely with AI Product Specialist, Automation Leads, Governance Leads ... Lead data discovery and assessment activities for AI initiatives. * Evaluate data quality ...

New

UAC Analyst (Sr)

Nashville, TN · On-site

$85K - $112K/yr

The Senior Data Analyst will serve as the analytical lead for the Nashville IT Call Center program site, owning the design, development, and continuous refinement of the site's performance ...

UAC Analyst (Sr)

Nashville, TN

$85K - $112K/yr

The Senior Data Analyst will serve as the analytical lead for the Nashville IT Call Center program site, owning the design, development, and continuous refinement of the site's performance ...

UAC Analyst (Sr)

Nashville, TN · On-site

$85K - $112K/yr

The Senior Data Analyst will serve as the analytical lead for the Nashville IT Call Center program site, owning the design, development, and continuous refinement of the site's performance ...

UAC Analyst (Sr)

Nashville, TN · On-site

$90 - $130/hr

The Senior Data Analyst will serve as the analytical lead for the Nashville IT Call Center program site, owning the design, development, and continuous refinement of the site's performance ...

Data Analyst II

Lebanon, TN · On-site

$70 - $90/hr

Data Analyst IILocation: Lebanon, TN**If you're looking for a career where purpose meets ... Ability to lead and influence discussions across a variety of stakeholders to achieve results ...

Data Analyst II Location: Lebanon, TN If you're looking for a career where purpose meets ... Ability to lead and influence discussions across a variety of stakeholders to achieve results ...

Data Analyst II Location: Lebanon, TN If you're looking for a career where purpose meets ... Ability to lead and influence discussions across a variety of stakeholders to achieve results ...

Analyze campaign, funnel, and attribution performance across lead, MQL (marketing qualified lead ... Ensure data quality, governance, and process integrity by identifying root causes, resolving ...

Sr. Data Analyst

Nashville, TN · On-site

$83K - $104K/yr

Contribute to and/or lead the production of written products and academic publications translating ... Mentor and train staff in survey data cleaning, analytic workflows, and team processes * Monitor ...

Analyze campaign, funnel, and attribution performance across lead, MQL (marketing qualified lead ... Ensure data quality, governance, and process integrity by identifying root causes, resolving ...

How we LEAD: Universal Music Manufacturing & Logistics is seeking a logistics data analyst to support e-commerce and retail operations with analytics in the areas of distribution and transportation.

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Showing results 1-20

Lead Data Analyst information

See Tennessee salary details

$30.9K

$75K

$123.4K

How much do lead data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for lead data analyst in Tennessee is $75,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,700.00 and $88,000.00 per year, depending on experience, location, and employer.

What is a lead data analyst?

Lead Data Analysts are experienced professionals who oversee data analysis projects and teams. They are responsible for collecting, interpreting, and presenting complex data to support business decision-making. In addition to performing advanced data analysis, they mentor junior analysts, collaborate with other departments, and ensure data quality and integrity. Their role often includes setting analysis methodologies, developing dashboards or reports, and providing actionable insights to stakeholders. Lead Data Analysts play a key role in driving data-driven strategies within an organization.

How does a lead data analyst typically collaborate with cross-functional teams to drive data-driven decision making?

As a Lead Data Analyst, you'll frequently work alongside stakeholders from product, engineering, marketing, and operations to identify key business questions and translate them into actionable insights. This role often involves leading data projects, coordinating with data engineers for reliable data pipelines, and presenting findings to both technical and non-technical audiences. Strong communication and project management skills are essential, as you'll bridge gaps between data and business objectives, ensuring that analytical strategies effectively support organizational goals.

What are the key skills and qualifications needed to thrive as a Lead Data Analyst, and why are they important?

To thrive as a Lead Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid understanding of data modeling, typically supported by a degree in mathematics, statistics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, along with experience in advanced analytics or certification in related technologies, is often required. Outstanding leadership, problem-solving abilities, and effective communication skills help you translate complex data insights to diverse stakeholders and guide analytical teams. These competencies are crucial for driving data-driven decision-making and ensuring high-impact business outcomes.

What is the difference between Lead Data Analyst vs Data Scientist?

AspectLead Data AnalystData Scientist
Required CredentialsBachelor's degree in Data Analytics, Statistics, or related field; often certifications in data toolsBachelor's or Master's in Data Science, Computer Science, or related; certifications in machine learning or data modeling
Work EnvironmentBusiness teams, analytics departments, reporting focusResearch, modeling, algorithm development, often in R&D or tech firms
Employer & Industry UsageFinance, healthcare, retail, and corporate analytics teamsTech companies, research institutions, startups, and industries requiring advanced modeling

While both roles analyze data, Lead Data Analysts focus on interpreting data to inform business decisions, whereas Data Scientists develop models and algorithms to extract deeper insights. The roles often overlap but differ mainly in technical complexity and scope.

How much does a lead data analyst make in the US?

A lead data analyst in the US typically earns between $80,000 and $120,000 annually, depending on experience, industry, and location. Seniority, technical skills like SQL and Python, and certifications can influence salary levels.
Infographic showing various Lead Data Analyst job openings in Tennessee as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $75,006 per year, or $36.1 per hour.

IOTx Data Analyst

Tcenergy

Thompsons Station, TN • Hybrid

Full-time

Posted yesterday

New


Job description

Determined, imaginative, curious-if these are some of the ways you describe yourself, we want to learn more about you!

At TC Energy, we are proud to connect the world to the energy it needs. Guided by our values of safety in every step, personal accountability, one team and active learning, we deliver the critical energy that North America and the world rely on while balancing reliability, affordability and sustainability.

The Opportunity

We are seeking a Data Analyst who will serve as the AI Productivity Department's subject matter expert for data readiness, analytics, reporting, and knowledge management. This role ensures that AI tools, Copilot solutions, automation workflows, and business intelligence products are built upon accurate, secure, trusted, and well-governed data sources.

The Data Analyst works closely with AI Product Specialist, Automation Leads, Governance Leads, business stakeholders, and operational subject matter experts to transform business information into structured, accessible, and actionable data assets that support AI-enabled productivity improvements across USGO. This role is responsible for data quality, metadata standards, reporting development, taxonomy management, knowledge repository optimization, and business performance measurement.

What you'll do

Data Readiness & Governance

  • Lead data discovery and assessment activities for AI initiatives.

  • Evaluate data quality, completeness, accessibility, and business relevance.

  • Develop and maintain data governance standards, metadata requirements, and information management practices.

  • Ensure data sources meet security, compliance, privacy, and retention requirements.

  • Work with business units to identify authoritative data sources and eliminate duplicate or outdated content.

  • Support auditability and traceability of AI-enabled solutions.

Knowledge Management & Enterprise Search

  • Improve the quality, structure, and findability of information across SharePoint, Teams, OneDrive, and approved business repositories.

  • Develop taxonomy, naming conventions, metadata standards, and document management practices.

  • Establish and maintain approved knowledge sources for AI tools and Copilot agents.

  • Partner with business teams to improve search relevance and information accessibility.

Reporting & Analytics

  • Design and maintain operational dashboards and KPI reporting.

  • Develop reports and analytics products supporting AI adoption, productivity measurement, safety, operations, and business performance.

  • Participate in executive-level reporting demonstrating value realization and return on investment (ROI).

  • Identify trends, opportunities, and process bottlenecks using data analysis techniques.

AI Lifecycle Support

  • Support Data Understanding and Data Preparation phases of the AI Tools Lifecycle.

  • Prepare datasets and validate data readiness before AI solutions move into development.

  • Partner with AI Product Managers to establish baseline metrics and success measures.

  • Support evaluation activities by measuring adoption, utilization, productivity improvements, and business outcomes.

  • Maintain documentation supporting AI solution governance and operational readiness.

Business Partnership & Continuous Improvement

  • Collaborate with Operations, Safety, Projects, Finance, Engineering, and Field Leadership teams.

  • Translate operational challenges into measurable data requirements.

  • Support intake and assessment of new AI opportunities.

  • Identify automation, reporting, and process improvement opportunities.

  • Serve as a trusted advisor regarding data strategy.

Minimum Qualifications

  • Bachelor's degree in engineering, computer science, or data science from a four-year ABET accredited university.

  • Recent graduate with no more than two years of relevant experience related to data quality, analytics, and reporting

Preferred Qualifications

  • Previous natural gas industry experience or in similar industries.

  • Artificial intelligence training and or experience.

  • Engineer In Training (EIT) qualification or willingness to obtain EIT.

This position requires candidates to:

  • Have and maintain a valid driver's license and provide a driver's abstract (record) for review

To remain competitive, support our high-performance culture and allow for more flexibility in the way we work, we offer a hybrid work model and flexible dress code for our eligible office-based workforce in Canada, the U.S. and Mexico. #LI-Hybrid

About our business

We are a leader in North American energy infrastructure, spanning Canada, the U.S. and Mexico. Every day, our dedicated team proudly connects the world to the energy it needs-moving over 30 per cent of the cleaner-burning natural gas used across the continent. Complemented by strategic ownership and low-risk investments in power generation, our infrastructure fuels industries and generates affordable, reliable and sustainable power across North America, while enabling LNG exports to global markets.

TC Energy is an equal opportunity employer and participates in the E-Verify program supervised by the US government. We welcome applications from all qualified individuals regardless of race, religion, age, sex, color, national origin, sexual orientation, gender identity, veteran status, or disability. We are also committed to providing accommodations throughout the recruitment process. Applicants requiring accommodations or accessible formats are encouraged to contact us at careers@tcenergy.com for support.

All applicants must have legal authorization to work in the country where the position is based, without restrictions. Background screening is required for all positions, which may include criminal and/or credit checks. Offers may be extended at a different level or job title that best aligns with the successful candidate's qualifications.

Learn more

Visit us at TCEnergy.com and connect with us on our social medial channels for our latest news, employee stories, community activities, and other updates.

Thank you for considering TC Energy in your career journey.