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Manager Data Analytics Engineer Jobs in Kentucky

$120 - $150/hr

Bachelor's Degree in Engineering, Analytics, Data Science, Statistics, Computer Science ... Strong project management skills, with the ability to effectively manage multiple projects ...

New

$150 - $200/hr

Bachelor's Degree in Engineering, Analytics, Data Science, Statistics, Computer Science ... Strong project management skills, with the ability to effectively manage multiple projects ...

New

$131 - $166/hr

Bachelor's degree in Finance, Economics, Business Analytics, Computer Science, Engineering, or a ... Manager, Data Analytics and Insights (or closely related occupation) performing portfolio risk ...

$170 - $220/hr

Overview The Senior Manager, Data & Analytics Platform Engineering will own, end to end, a centralized Power BI monitoring and reporting platform for the Data Governance, Informatics, and Analytics ...

$103 - $179/hr

Partner with engineering and design teams to create and test early-stage product solutions with ... Health software or data analytics experience preferred Other Knowledge, Skills, Abilities or ...

$125 - $135/hr

Data Engineering & Pipeline Development*** Build and maintain ETL/ELT pipelines that feed analytics ... Ability to manage multiple concurrent tasks and meet committed delivery dates* Healthcare or ...

$179 - $205/hr

Manager, Data Scientist, Data Solutions and Modeling Data is at the center of everything we do. As ... programming languages for large scale data analysis * At least 1 year of experience working with ...

$125 - $165/hr

Oversee release management, change management processes, and production stability for decision ... in Data Engineering, Analytics Engineering, or Decision product development. * 6+ Years of ...

$94 - $130/hr

You will collaborate closely with Account Managers, Product Line Managers, Operations, Supply Chain ... Proficiency in Python (or another programming language) for data analysis, automation, and process ...

$123 - $150/hr

Knowledge of DevOps, CI/CD, Git, and Infrastructure-as-Code practices for analytics platforms. * Experience with data governance, data quality, metadata management, and enterprise analytics best ...

$180 - $240/hr

Partner with Product Management and business leaders to understand strategic objectives and ... Ensure data engineering practices deliver high-quality, trusted, well-documented, and scalable data ...

$230 - $262/hr

Partner with a cross-functional team of business analysts, software engineers, and product managers ... A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze ...

$135 - $231/hr

Experience in managing personnel * Extensive knowledge of healthcare data/payment concepts (e.g ... Experience leading statistical analysis to inform health policy * Experience with databases having ...

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Manager Data Analytics Engineer information

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are the most commonly searched types of Data Analytics Engineer jobs in Kentucky?

The most popular types of Data Analytics Engineer jobs in Kentucky are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Kentucky?

For Manager Data Analytics Engineer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Kentucky look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Kentucky are:

What cities in Kentucky are hiring for Manager Data Analytics Engineer jobs?

Cities in Kentucky with the most Manager Data Analytics Engineer job openings:

Infographic showing various Manager Data Analytics Engineer job openings in Kentucky as of July 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Mgr, Data Analytics and Intelligence

Mississippi Power Co

On-site

$120 - $150/hr

Other

Medical, Retirement

Posted yesterday

New


Job description

JOB SUMMARY

The Data Analytics & Intelligence Manager is needed within the Georgia Power Customer Experience (CX) organization to lead our efforts around ‘getting data out of the box’ and leveraging it to support decisions and actions that drives value for partners and ultimately customers. This role will lead a team of data analytics professionals responsible for advanced analytics enablement, AI-augmented insight generation, customer intelligence, business performance measurement, and analytics-driven decision support to yield this value. Additionally, this leader will play an integral role in reshaping the analytics delivery workflow to capitalize on capabilities available from advancements in AI.

JOB REQUIREMENTS:Education
  • Bachelor’s Degree in Engineering, Analytics, Data Science, Statistics, Computer Science, Mathematics, Econometrics, Economics, Business Administration or related fields required.

  • Master’s Degree or above in any of the above fields is highly preferred.

Knowledge/Experience/Skills
  • 5+ years of experience in data management, advanced analytics, or a related field, with a proven track record of managing and implementing data and analytics solutions in an enterprise environment.

  • Technical Skills: Solid understanding of and hands‑on experience with relevant data analytics programming languages and tools, such as Python, SQL, R, SAS, Power BI, etc.

  • Solid understanding of cloud technologies, such as Databricks, Azure, and GCP highly preferred.

  • Deep understanding of statistical and probabilistic methods.

  • Working knowledge of industry accepted predictive modeling techniques (e.g. Decision Trees, Neutral Networks, and Regression) preferred.

  • Solid knowledge of generative/agentic AI concepts (e.g., tokens, MCP, etc.) and of innovative modeling techniques (e.g. Deep Learning, Transformers, LLMs) preferred.

  • Proficiency in researching trends in data analytics and AI to assess opportunities for implementation.

  • Familiarity with Agile project methodologies a plus.

  • Strong project management skills, with the ability to effectively manage multiple projects concurrently and with various stakeholders.

  • Excellent verbal and written communication skills, with the ability to effectively engage with stakeholders at all levels, particularly executive leadership, and to translate highly complex information into practical terms for non-technical audiences.

  • Demonstrated leadership abilities, with experience in leading or taking significant roles within cross‑functional teams.

  • Prior experience working in a utility highly preferred.

  • Prior experience working in Customer Service, Sales, Marketing, Customer Experience, or related functional areas a plus.

  • Working knowledge of Oracle customer information systems a plus.

Behavioral Traits:

The successful candidate will demonstrate the core values of Safety First, Intentional Inclusion, Superior Performance, and Acting with Integrity.

Additional required behavioral attributes include:

  • Selfless servant leadership

  • Dedicated to the growth of others

  • Innovative mindset, with a continual desire to learn and stay abreast of enhancements in the fields of data analytics and AI

  • Customer- and client-centric

  • Results- and detail-oriented

  • Strategic thinker with an ability to connect the dots between problems and solutions

  • Committed to building and maintaining constructive partnerships with business partners

  • Works well others

  • Acts with speed and decisiveness

MAJOR JOB RESPONSIBILITIES:Leading the Data Analytics Team
  • Designing and implementing data analytics team strategies that align with Southern Company’s, Georgia Power’s and CX’s strategic goals, ensuring a clear roadmap for client success.

  • Leading direct reports and providing strategic guidance on a day-to-day basis.

  • Ensuring the use of voice-of-customer, operational, program enrollment, and demographic data in analyses and recommendations to yield higher customer satisfaction and deliver an elevated customer experience.

  • Proposing and developing data-driven approaches to quantifying the cost/benefit of various CX initiatives, providing clients and CX leadership with a comprehensive view of estimated ROI.

  • Working with the Data Science team to provide complete end-to-end analytics support to partner teams.

  • Challenging the team stays abreast of the latest trends, developments, and emerging capabilities within the data analytics and AI landscape.

  • Removing technical and non-technical roadblocks to ensure team and client success.

  • Managing budgets, timelines and resource allocation to ensure the successful management of analytics projects and initiatives.

Enhancing the CX Data Analytics Experience in the Age of AI
  • Setting the strategy for business unit-focused customer data analytics in the era of AI

  • Spearheading the establishment and deployment of AI-enhanced self-service analytics capabilities that enable business partners to independently access, interpret, and act upon complex operational, customer, and voice-of-customer data through intuitive dashboards, conversational analytics, and natural-language querying experiences.

  • Re-engineering the day-to-day workflow of the data analytics team by capitalizing on available AI-capabilities within native enterprise analytics platforms to increase analytic throughput, accelerate insight delivery, improve data storytelling, and enhance decision quality while maintaining appropriate governance and human oversight.

  • Fostering a culture of creativity and ingenuity to enable the innovative, safe, and responsible use of data, analytics, and available AI capabilities to generate meaningful value at Southern Company.

  • Presenting project progress updates and results to senior leadership and stakeholders, articulating value and gaining partner and client buy-in.

  • Engaging with CX business units to understand intelligence and data-driven decision support needs.

  • Participating in or leading enterprise initiatives in the AI-enabled analytics space, in collaboration with system peers in CX, cross-functional partners, the Technology Organization (TO), and others.

  • Ensuring productive relationships with cross-functional leaders from other relevant parts of the business (i.e.,TO, Power Delivery Analytics, AFT Analytics, Marketing, Gas, etc.) to drive maximum customer and client value.

  • Working with system data governance teams to support AI enablement from a foundational perspective, where appropriate.

  • Partnering with external collaborators (i.e., vendors, research institutions, or startups) to leverage expertise, resources, and innovative solutions.

Stakeholder Engagement
  • Presenting project progress updates and results to senior leadership and stakeholders, articulating value and gaining partner and client buy-in.

  • Engaging with CX business units to understand intelligence and data-driven decision support needs.

  • Participating in or leading enterprise initiatives in the AI-enabled analytics space, in collaboration with system peers in CX, cross-functional partners, the Technology Organization (TO), and others.

  • Ensuring productive relationships with cross-functional leaders from other relevant parts of the business (i.e.,TO, Power Delivery Analytics, AFT Analytics, Marketing, Gas, etc.) to drive maximum customer and client value.

  • Working with system data governance teams to support AI enablement from a foundational perspective, where appropriate.

  • Partnering with external collaborators (i.e., vendors, research institutions, or startups) to leverage expertise, resources, and innovative solutions.

Georgia Power

is the largest electric subsidiary of Southern Company (NYSE: SO), America's premier energy company. Value, Reliability, Customer Service and Stewardship are the cornerstones of the Company's promise to 2.6 million customers in all but four of Georgia's 159 counties. Committed to delivering clean, safe, reliable, and affordable energy at rates below the national average, Georgia Power maintains a diverse, innovative generation mix that includes nuclear, coal and natural gas, as well as renewables such as solar, hydroelectric and wind. Georgia Power focuses on delivering world-class service to its customers every day and the Company is recognized by J.D. Power and Associates as an industry leader in customer satisfaction. For more information, visit www.GeogiaPower.com and connect with the Company on Facebook (Facebook.com/GeorgiaPower), Twitter (Twitter.com/GeorgiaPower) and Instagram (Instagram.com/ga_power).

Southern Company

(NYSE: SO ) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit www.southerncompany.com .

Benefits
  • Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being.

  • This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s).

  • A summary of the benefits offered for this position can be found here https://seo.nlx.org/southernco/pdf/SOCO-Benefits.pdf .

  • Additional and specific details about total compensation and benefits will also be provided during the hiring process.

Equal Opportunity Employer Statement

Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.

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