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Manager Data Analytics Engineer Jobs (NOW HIRING)

Manager, Data Analytics

New York, NY · Remote

$111K - $145K/yr

We're hiring a Manager of Data Analytics to join our Clinical Analytic Team. Oscar is the first ... Partner with engineering and data teams to find solutions to data issues within a complex system ...

Data Analytics Engineer

Manhattan, NY · On-site

$150 - $225/hr

You'll build on your analytical skills to create solutions that process large amounts of data from ... quality management. * You are highly proficient in Python, SQL, database design, and have ...

Manager, Data Analytics

Manhattan, NY · On-site

$111K - $145K/yr

We're hiring a Manager of Data Analytics to join our Clinical Analytic Team. Oscar is the first ... Partner with engineering and data teams to find solutions to data issues within a complex system ...

Data Analytics Engineer

New York, NY · On-site

$150K - $225K/yr

You'll build on your analytical skills to create solutions that process large amounts of data from ... quality management. * You are highly proficient in Python, SQL, database design, and have ...

Build and manage data warehouses on Snowflake; integrate and model operational data from Aurora ... Experience: 6+ years in Analytics / BI engineering. * BI / Dashboards: Deep, hands-on Tableau ...

Data Analytics Engineer 2

Pittsburgh, PA · On-site

$111K - $133K/yr

Manager of Data and Analytics Engineering Position Overview: This position is primarily responsible for providing comprehensive data and analytics support for all business units across the ...

New

... in data engineering with strong SQL and deep Snowflake expertise * Experience designing efficient, scalable analytical data models * Proficiency with dbt or comparable transformation frameworks

Manager, Data Analytics

Bentonville, AR · On-site

$80K - $155K/yr

Analytics & Engineering: Dashboards, AI Agents, and pipelines will be built to maintain high data governance and accelerate time-to-insight. * Data Science: A/B tests, predictive machine learning ...

Manager, Data Analytics

Rogers, AR · On-site

$80K - $155K/yr

Analytics & Engineering: Dashboards, AI Agents, and pipelines will be built to maintain high data governance and accelerate time-to-insight. * Data Science: A/B tests, predictive machine learning ...

Manager, Data Analytics

Fayetteville, AR · On-site

$80K - $155K/yr

Analytics & Engineering: Dashboards, AI Agents, and pipelines will be built to maintain high data governance and accelerate time-to-insight. * Data Science: A/B tests, predictive machine learning ...

Manager, Data Analytics

Springdale, AR · On-site

$80K - $155K/yr

Analytics & Engineering: Dashboards, AI Agents, and pipelines will be built to maintain high data governance and accelerate time-to-insight. * Data Science: A/B tests, predictive machine learning ...

Manager, Data Analytics

Pea Ridge, AR · On-site

$80K - $155K/yr

Analytics & Engineering: Dashboards, AI Agents, and pipelines will be built to maintain high data governance and accelerate time-to-insight. * Data Science: A/B tests, predictive machine learning ...

The IT Manager, Data & Analytics owns and governs Komatsu's enterprise data and analytics platforms, including Palantir Foundry, Microsoft Power BI, Azure Synapse, and associated data engineering ...

Sr. Data Analytics Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Under Armour is committed to empowering individuals who strive for more, and they are seeking a highly motivated Sr. Data Analytics Engineer to join their Enterprise Data Management & Analytics team.

Showing results 41-60

Manager Data Analytics Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Sep 6, 2026, the average yearly pay for manager data analytics engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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.

More about Manager Data Analytics Engineer jobs

What cities are hiring for Manager Data Analytics Engineer jobs?

Cities with the most Manager Data Analytics Engineer job openings:

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

The most popular types of Data Analytics Engineer jobs are:

What states have the most Manager Data Analytics Engineer jobs?

States with the most job openings for Manager Data Analytics Engineer jobs include:

Infographic showing various Manager Data Analytics Engineer job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$101K - $127K/yr

Full-time

Re-posted 10 days ago


Job description

This position is eligible for telework, which is currently one day per week. New hires are eligible to apply 30 days after their effective date of hire. 

JOB TITLE:

Manager, Data Analytics

AGENCY:

Construction & Development

DEPT/DIV:

Planning/Capital Strategy

REPORTS TO:

Senior Manager Data Analytics

WORK LOCATION:

2 Broadway

HOURS OF WORK:

8:30 AM to 5:00 PM or as required (7.5HR/ DAY)

JOB FAMILY: DAB

Grade: 005

SALARY RANGE:

$101,754 to $127,192

DEADLINE:

Open Until Filled

Summary

The Manager, Data Analytics, will help shape the future of the greater New York region by substantially contributing to the MTA’s capital planning and strategy. More specifically, this position will be responsible for creating and utilizing the analytical tools that help set policy for critical transportation investments necessary to ensure the continued mobility of the MTA region. This position is responsible for developing and analyzing strategies and capital program methodologies, creating tools to assess critical planning issues, developing investment strategies, representing MTA policies with stakeholders, and working on long-range transportation strategies and issues.

Responsibilities

Develop analytical and statistical tools to underpin capital planning for the MTA.

Analyze and visualize information, including the maturation of capital analytics, for further data-driven decision-making.

Work collaboratively across departments and staff, creating tools that assist in decision-making based on system and component condition, performance, criticality, safety, impact on service reliability, customer experience, access, resiliency, and other relevant considerations.

Develop data-driven strategies to guide the prioritization of capital investments, including statistical and data visualization tools to facilitate analysis and communication of relevant capital information and priorities.

Perform statistical analyses on a wide variety of data sets.

Establish areas of analysis, including system/network analyses, life-cycling costing; condition deterioration analysis; investment scenario modelling for prioritization of investments; and metrics to establish explicit linkages between the MTA Agencies’ objectives and investment priorities with desired and specific outcomes. 

Spearhead the ongoing improvement of decision-making tools, including data architecture, to continuously improve the MTA’s capital planning process. 

Interpret and present a wide variety of data to understand and represent the capital needs of the MTA agencies. Present findings of various analyses to MTA senior staff, operating agencies, the public, and non-MTA agencies in an accurate, understandable and timely manner.

Utilize large databases of information, including asset assessments, asset inventories, regional planning information, transit usage, and socioeconomic and demographic information, to develop planning tools for prioritization that underpin the agency’s capital strategy.

Recommend and implement frameworks to consider multiple factors, such as asset condition, transit system performance data, regional needs, trends and challenges.  

Develop and present planning information, processes, and results to stakeholders.

Create new and meaningful means for public communication of – and public input into - MTA’s capital planning.  

Manage consultants.

Education and Experience

A Bachelor's or Master's degree in urban planning, data science, engineering, public administration, or a related field.

Master's degree preferred. 

Minimum of six (6) years of relevant experience.

An equivalent combination of education and experience may be considered.

Competencies:

Strong writing and presentation skills. 

Strong supervisory and technical skills, including proficiency in MS Office, data analytics, visualization tools, and spatial analysis using GIS or similar mapping tools.

Knowledge of database management, programming, and other “big data” or data science skills.

Ability to perform in-depth qualitative and quantitative analyses using various tools and datasets.

Strong time and task management skills with the ability to manage multiple projects and deadlines and maximize the output of a small staff.

Effective communication skills.

Knowledge of the MTA regional network and operating context, as well as local, state and federal transportation and policies.

The ability to work with both senior-level staff and technical personnel on a diverse array of issues.

The ability to interface with stakeholders, including senior political and business representatives.

Other Information

Pursuant to the New York State Public Officers Law & the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the "Commission").

Selection Criteria

Based on evaluation of education, skills, experience, and interview.

How to Apply

MTA employees must apply via My MTA Portal. You can submit an online application by logging into My MTA Portal, clicking the My Job Search ribbon, and selecting the “Careers” link. Logging in through My MTA Portal will link your BSC ID number to your job application to identify you as an internal applicant.

Equal Employment Opportunity

MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities.

The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.