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Data Analytics Manager Jobs in Rochester, NY (NOW HIRING)

TEKsystems

Enterprise Data Analytics Lead

Rochester, NY · On-site

$30 - $43/hr

This role is expected to evolve over time and may assume people-management responsibilities as the enterprise data and analytics function matures. Skills and Competencies • Knowledge of data ...

TEKsystems

Enterprise Data Analytics Lead

Rochester, NY · On-site

$30 - $43/hr

This role is expected to evolve over time and may assume people-management responsibilities as the enterprise data and analytics function matures. Skills and Competencies • Knowledge of data ...

Workiva

Spring 2027 Intern - Data Analytics

Geneseo, NY · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

Workiva

Spring 2027 Intern - Data Analytics

Geneseo, NY · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

Pwc

Data Strategy-Manager

Rochester, NY

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

Pwc

Data Governance- Manager

Rochester, NY

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

Monro

Operations Efficiency Data Analyst

Fairport, NY · On-site

$90K - $105K/yr

... analytics. * Working knowledge of data integration, ETL processes, and data pipeline development. * Ability to manage, analyze, and interpret large, complex datasets from multiple source systems.

Recruit Monitor

Data Analyst

Rochester, NY · On-site

You will assist in the management and growth of a large-scale data solution enabling TV everywhere ... Analyze and interpret complex data, patterns and processes * Provide analysis, reports, dashboards ...

IDEX

Data Analyst, Finance

West Henrietta, NY · On-site +1

Finance Manager, IH&S LOCATION: Remote Who is IDEX Health & Science (IH&S)? As a business unit of ... Maintain and prioritize reporting and analytics backlogs leveraging the Agile framework. * Support ...

Pwc

AI & GenAI Data Scientist - Manager

Rochester, NY

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

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All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Rochester, NY

Data Analytics Manager information

See Rochester, NY salary details

$30.6K

$95.9K

$169.8K

How much do data analytics manager jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data analytics manager in Rochester, NY is $95,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $123,900.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Rochester, NY?

The most popular types of Data Analytics jobs in Rochester, NY are:

What are popular job titles related to Data Analytics Manager jobs in Rochester, NY?

For Data Analytics Manager jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Data Analytics Manager jobs in Rochester, NY look for?

The top searched job categories for Data Analytics Manager jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Data Analytics Manager jobs?

Cities near Rochester, NY with the most Data Analytics Manager job openings:

Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Rochester, NY as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $95,875 per year, or $46.1 per hour.

Data Engineering and Analytics Manager

Corning

Fairport, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Corning rating

8.3

Company rating: 8.3 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

66th of 545 rated manufacturers

Job description

Requisition Number: 77751

The company built on breakthroughs. 
Join us.             

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible. 

How do we do this? With our people. They break through limitations and expectations- not once in a career, but every day. They help move our company,and the world, forward. 

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more. 

Come break through with us. 


The Specialty Materials segment manufactures products that provide more than 150 material formulations for glass, glass ceramics and fluoride crystals to meet demand for unique customer needs. Consequently, this segment operates in a wide variety of commercial and industrial markets that include display optics and components, semiconductor optics components, aerospace and defense, astronomy, ophthalmic products, telecommunications components and cover glass that is optimized for portable display devices.

Scope of the Role

The Division Data Engineering and Analytics Manager is responsible for leading the design, delivery, and ongoing improvement of the division's data engineering and analytics foundation. This role will oversee the development and support of scalable data pipelines, cloud-based data platforms, and curated data assets that enable trusted reporting, analytics, and future advanced analytics use cases.

This leader will play a critical role in stabilizing and maturing the current data engineering and Databricks environment, establishing delivery standards, and strengthening the data foundation needed to support business insights and decision-making. The role will also help shape and enable broader analytics capabilities by partnering with business, functional, and technology teams to ensure data is reliable, governed, and fit for use.

The ideal candidate combines strong data engineering and platform experience with people leadership, delivery discipline, and an understanding of how data supports analytics, business performance, and future advanced analytics opportunities.

This role reports to the Senior Manager, Division Data & Analytics (Division Data Office) and works closely with business stakeholders, functional partners, enterprise IT, analytics teams, and data governance partners.

Key Responsibilities

Data Engineering and Platform Leadership

  • Lead the day-to-day management, support, and enhancement of the division's data engineering environment, including Databricks and related data platform capabilities.

Analytics Enablement

  • Build and maintain curated, trusted, and reusable data assets that support reporting, dashboards, self-service analytics, and business intelligence.

Team Leadership and Delivery Management

  • Lead, coach, and develop data engineering resources, including internal team members and partners as applicable.

Data Quality, Governance, and Controls

  • Drive platform data governance partnering with business, and functional stakeholders to improve data quality, lineage, controls, and ownership across the data lifecycle.

Future-State Analytics and Advanced Analytics Enablement

  • Help build the data foundation required to support future advanced analytics, data science, and AI use cases.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field.
  • 5+ years of experience in data engineering, data integration, analytics engineering, or related data platform roles.
  • 2+ years of experience leading teams, projects, or delivery efforts in a data and analytics environment.
  • Hands-on experience with modern data platforms and cloud-based data engineering solutions, including Databricks or similar technologies.
  • Strong experience in designing, building, and supporting data pipelines, ETL/ELT processes, and curated data models.
  • Experience with SQL and one or more programming/scripting languages such as Python, Scala, or similar.
  • Experience working with BI, reporting, or analytics teams to support trusted data consumption.
  • Strong understanding of data quality, governance, controls, and metadata/lineage concepts.
  • Demonstrated ability to work across business and technology teams and communicate effectively with technical and non-technical stakeholders.

Preferred Qualifications

  • Experience in manufacturing, supply chain, operations, finance, or other complex enterprise environments.
  • Experience with cloud data ecosystems such as Azure, AWS, or GCP.
  • Familiarity with advanced analytics, machine learning, or AI data preparation requirements.
  • Experience supporting enterprise-scale reporting and dashboard environments.
  • Experience implementing or supporting data governance practices and operating models.
  • Knowledge of DevOps, DataOps, CI/CD, and automated testing practices for data pipelines.

This position does not support immigration sponsorship.  


The range for this position is  $126,898.00 - $174,486.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. 

A job that shapes a life. 

Corning offers you the total package. 

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.

  • Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
  • As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning's total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service.
  • Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.  
  • Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions. 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.

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