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Senior Data Analytics Engineer Jobs in Kentucky (NOW HIRING)

Sr. AI Engineer

Fountain Run, KY · On-site +1

$88K - $121K/yr

Description The Sr. AI Engineer will report directly to the Sr. Director of Data Analytics & AI Ecosystems and serve as a primary hands-on builder within the company's AI Ecosystem, anchored by the ...

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... * Sr. Data Scientist: 4 or more years of data science/predictive analytics experience in (re ...

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Senior Data Analytics Engineer information

See Kentucky salary details

$70.4K

$109.7K

$152K

How much do senior data analytics engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior data analytics engineer in Kentucky is $109,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $125,100.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

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 Senior Data Analytics Engineer jobs in Kentucky?

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

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

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

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

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

Infographic showing various Senior Data Analytics Engineer job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $109,720 per year, or $52.8 per hour.

Senior Manager, Data Analytics and Insights

Fidelity Investments

Covington, KY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 273 frontline employees who took The Breakroom Quiz

16th of 152 rated financial services


Job description

Job Description:

Are you interested in applying your analytics skills while tapping into knowledge about data sources from across Fidelity's wide range of businesses and technologies? Do you want to work alongside business associates to generate new insights, build automated workflows, and support improved decision-making?

If so, join our team and take this exciting opportunity to learn about and work with data from across the enterprise. Examples include analyzing detailed client and customer data from Fidelity's recordkeeping systems. You will also understand how investment products are built and develop analytics on new products like cryptocurrency and trading apps.

The Role

In your role as Senior Manager, Data Analytics & Insights within Fidelity's Legal, Risk, and Compliance (LRC) group, you will work closely with Fidelity's Risk team, as well as Audit, Compliance, Legal, and GSI teams. You will also collaborate with customer-facing business units and key data providers to identify areas where data uncovers risk insights. You will participate in every stage of a data analytics project, beginning with defining the business question or hypothesis. You will pinpoint appropriate data sources, collect the necessary data, perform advanced analytics, and share the findings. You will apply data to respond to ad-hoc inquiries and develop data-driven solutions for firm-wide use.

The Expertise and Skills You Bring

  • Bachelor's degree or primary degree or equivalent experience, ideally in an analytics or technical field

  • 7+ years of demonstrated experience in data and analytics

  • Proficient at programming in languages like SQL, Python, and/or R

  • Analytic expertise working with structured and unstructured data to identify key insights

  • A proven understanding of ETL tools and processes (Alteryx, Informatica, etc.)

  • Experience performing data exploration, building business intelligence reports, and developing visualizations (using Power BI or Tableau)

  • You are skilled at effectively defining use cases and have demonstrated analytical/problem-solving skills with the ability to identify solutions to uncommon and complex problems

  • Consistent track record communicating insights in a simple, clear, and actionable way

  • Naturally keen attention to detail, collaborative, and the ability to manage multiple tasks and adapt quickly in a fast-paced environment

  • Knowledge of the financial services industry, particularly in the brokerage businesses

  • A passionate can-do attitude to your work

  • You are dedicated to collaborating across departments to deliver the best outcomes for Fidelity and our customers

  • Natural intellectual curiosity, initiative, and love for learning new skills and capabilities

  • Strong interpersonal and communication abilities, capable of cooperating seamlessly with cross-functional business partners

  • Experience in an Audit, Risk, Compliance, or Security function

The Team


The Data Science, Analytics, and Alts team sits within the broader FI and Quantitative Risk organization. We operate across a diverse set of functions, including analytics, technology, program delivery, and strategy, to provide insight and solutions that help identify, measure, and manage risk.

We partner closely with teams across Risk, the CFO organization, and other business units to deliver scalable, data-informed solutions. Our team is focused on outcomes and value, with a strong emphasis on improving efficiency, enabling better decision-making, and advancing the use of data and technology across the firm.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:Category:Business Analytics and Insights

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.


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