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Manager Data Analytics Engineer Jobs in Kentucky

$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 ...

New

$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 ...

New

$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 ...

Posted today

$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 ...

New

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

$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 ...

New

$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 ...

New

$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 ...

Posted today

$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 ...

New

$183 - $208/hr

... Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of ... Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering ...

$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 ...

New

$135 - $231/hr

Seeking a dynamic, goal-oriented Director, Data Analytics to work on health and human services ... Write effective and efficient code both independently and under the guidance of project managers ...

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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.

Senior Manager, Data Analytics and Insights

On-site

$131 - $166/hr

Other

Posted 6 days ago


Job description

## Senior Manager, Data Analytics and InsightsApplylocations: Boston, MAtime type: Full timeposted on: Posted Todaytime left to apply: End Date: September 22, 2026 (30+ days left to apply)job requisition id: 2133586## ## Job Description:**Note: Fidelity will not provide immigration sponsorship for this position.****Position Description**:Analyzes and builds equity datasets and analytical outputs used across quantitative research, risk modeling, and performance attribution. Calculates and applies a broad range of equity analytics, including portfolio risk, return attribution, EPS, fundamental ratings, and fundamental equity factors, across granular and aggregated analytical layers. Maintains complex SQL‐based transformations, analytical datasets, and factor‐model components that serve as foundational inputs to quantitative research and performance attribution algorithms. Develops diagnostic routines, data‐profiling scripts, and integrity checks to monitor computational accuracy, detect anomalies, and ensure deterministic analytical outputs across distributed systems. Implements and evolves data domains, model enhancements, and analytical capabilities by architecting ingestion frameworks, integrating vendor datasets, and optimizing storage and computer environments for high‐volume model execution.**Primary Responsibilities:*** Performs end‐to‐end reporting and analytics operations, ensuring timely, accurate, and reliable delivery of daily, weekly, monthly, and ad‐hoc analytical outputs across key business areas.* Ensures data availability, quality, and process stability, monitoring inputs, workflows, and analytical outputs to maintain high standards of data integrity and reporting accuracy.* Responds to complex, ad‐hoc analytical requests, providing data-driven insights and support for strategic initiatives, research projects, and leadership priorities.* Develops and enhances analytical tools, dashboards, and visualizations to communicate trends, business drivers, and performance insights to a wide range of stakeholders.* Designs, improves, and automates data and analytical processes, including developing new calculations, identifying data anomalies, and creating new reporting capabilities.* Participates in multiple concurrent projects, assists with planning, prioritization, resource co-ordination, risk assessment, and timely delivery in a fast‐paced environment.* Acts as a primary liaison across business partners, technology teams, research groups, and external vendors, ensuring alignment and clear communication throughout the analytics ecosystem.* Troubleshoots and resolves data or technology issues, ensuring continuity in analytical pro-duction and delivery of high‐quality outputs.* Provides analytical and technical guidance to senior leadership, contributing to strategic planning materials, prototypes, and recommendations.* Mentors and develops junior team members.**Education and Experience**:Bachelor’s degree in Finance, Economics, Business Analytics, Computer Science, Engineering, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) performing portfolio risk, return attribution, and equity and data analytics.Or, alternatively, Master’s degree in Finance, Economics, Business Analytics, Computer Science, Engineering, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) performing portfolio risk, return attribution, and equity and data analytics.**Skills and Knowledge**:Candidate must also possess:* Demonstrated Expertise (DE) performing quantitative investment research and financial data analysis, including constructing and analyzing security- and portfolio-level datasets; and analyzes and structures earnings-per-share estimates, and analyst forecasts, returns, and active weights, using Python, R, and SQL.* DE conducting portfolio performance attribution and risk analysis, including Brinson attribution, decomposition of portfolio returns, evaluation of benchmark-relative performance, analysis of factor exposures and sensitivities, and measurement of portfolio-level risk metrics (tracking error and beta), using Python, SQL, FactSet Portfolio Analysis Tool, and Barra Portfolio Manager.* DE designing, developing, and implementing advanced analytical tools, data pipelines, and multi-factor models to support stock selections and investment decision making, including data modeling, automation of recurring calculations, validation of inputs and outputs, and building interactive dashboards and visualizations using Python, SQL, Tableau, and Excel.* DE sourcing, validating, and integrating market, fundamental, and reference data to support in-vestment and risk analysis, including working with equity and portfolio datasets, reconciling vendor data, and ensuring data quality and consistency using Bloomberg and FactSet platforms.Salary: $131,225.00 to $166,000.00/year.#PE1M2#LI-DNIFidelity’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 InsightsPlease 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.### About UsAt Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com.Fidelity Investments is an equal opportunity employer. #J-18808-Ljbffr