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

Corning

Quality Data & Analytics Engineer

Fairport, NY · On-site

$68K - $88K/yr

The Division Quality Data & Analytics Engineer bridges industrial engineering, manufacturing, and ... Design and manage Power Platform solutions-including Power BI dashboards, PowerApps, and automated ...

Corning

Quality Data & Analytics Engineer

Fairport, NY

$68K - $88K/yr

The Division Quality Data & Analytics Engineer bridges industrial engineering, manufacturing, and ... Design and manage Power Platform solutions-including Power BI dashboards, PowerApps, and automated ...

Corning

Quality Data & Analytics Engineer

Fairport, NY

$68K - $88K/yr

The Division Quality Data & Analytics Engineer bridges industrial engineering, manufacturing, and ... Design and manage Power Platform solutions--including Power BI dashboards, PowerApps, and automated ...

Pwc

Data Strategy-Manager

Rochester, NY · On-site

$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 ...

Cooper Companies

Data Analyst 1

West Henrietta, NY

$28K/yr

Basic understanding of analytics (statistical analysis, pattern recognition, data interpretation ... Willingness to follow standardized departmental, project management, and IT processes. * Ability to ...

CooperCompanies

Data Analyst 1

West Henrietta, NY · On-site

$28K/yr

Basic understanding of analytics (statistical analysis, pattern recognition, data interpretation ... Willingness to follow standardized departmental, project management, and IT processes. * Ability to ...

Cooper Companies

Data Analyst 2

West Henrietta, NY

$71K/yr

... Management Studio (SSMS), Oracle GoldenGate, DBeaver, etc. * Experience with Tableau Prep, Alteryx, or similar data preparation tools. * Experience using Python or R for analytics or automation.

CooperCompanies

Data Analyst 2

West Henrietta, NY · On-site

$71K/yr

... Management Studio (SSMS), Oracle GoldenGate, DBeaver, etc. * Experience with Tableau Prep, Alteryx, or similar data preparation tools. * Experience using Python or R for analytics or automation.

Recruit Monitor

Data Analyst

Rochester, NY

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 ...

Mindlance

Data Analyst/Engineer

Fairport, NY · On-site

Required : • Associate's Degree in Data Science, Engineering, Mathematics, or related technical field (minimum required) • 1-3 years experience in data management/analysis. • Strong data ...

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Showing results 1-20

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 Jul 21, 2026, the average yearly pay for data analytics manager in Rochester, NY is $95,893.00, 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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

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 does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

What are the key skills and qualifications needed to thrive as a Data Analytics Manager, and why are they important?

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.

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 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.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
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 July 2026, with employment types broken down into 100% Full Time. Highlights an 65% In-person, 9% Hybrid, and 26% Remote job distribution, with an average salary of $95,893 per year, or $46.1 per hour.
Quality Data & Analytics Engineer

Quality Data & Analytics Engineer

Corning

Fairport, NY • On-site

$68K - $88K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Corning rating

8.2

Company rating: 8.2 out of 10

Based on 127 frontline employees who took The Breakroom Quiz

84th of 528 rated manufacturers

Job description

Requisition Number: 74055
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.
Corning's businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with:
  • Trusted products that accelerate drug discovery, development, and delivery to save lives
  • Damage-resistant cover glass to enhance the devices that keep us connected
  • Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
  • Precision glass for advanced displays to deliver richer experiences
  • Auto glass and ceramics to drive cleaner, safer, and smarter transportation
  • Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions

Role purpose:
The Division Quality Data & Analytics Engineer bridges industrial engineering, manufacturing, and data systems. Unlike traditional IT roles, this position requires hands-on manufacturing experience and technical skills to turn fragmented data into actionable insights that improve quality and operations. The ideal candidate possesses extensive hands-on manufacturing expertise, paired with an industrial engineering perspective. They are highly skilled in Power BI, PowerApps, and the Microsoft Power Platform, enabling them to create and manage interactive dashboards, automated workflows, and advanced analytics tailored specifically for manufacturing settings. Additionally, this engineer should be able to see beyond current data sources-spotting areas where information may be missing or incomplete-and design new data pipelines, collection strategies, and integrations from scratch.
Key responsibilities:
Design and manage Power Platform solutions-including Power BI dashboards, PowerApps, and automated workflows-to support QMS and PEX operations. Translate complex manufacturing data into clear visualizations for all stakeholders using SalesForce, ETQ, SAP, and MES.
  • Identify, assess, and close data gaps - proactively evaluate existing data sources across the quality, identify where critical data is missing, poorly structured, or uncaptured, and engineer new data collection methods, pipelines, and integrations to fill those gaps
  • Use an industrial engineering perspective in data analysis by drawing on expertise in manufacturing processes, process control, OEE, yield analysis, cycle time, and reducing variation. This approach helps ensure that analytics results are practical and lead to real improvements in operations.
  • Conduct comprehensive data analyses supporting continuous improvement initiatives, collaborating with process engineering and quality teams to identify root causes, track performance trends, and validate improvement outcomes
  • Facilitate the integration of quality and production processes within ERP and MES systems to enhance system functionality, streamline data workflows, and improve overall manufacturing performance
  • Champion the adoption and adherence to QMS and CI best practices across sites, serving as a subject matter expert (SME) for data-driven decision-making, process optimization, and analytical best practices
  • Leverage artificial intelligence (AI) and emerging technologies to innovate, solve complex quality and operational challenges, and continuously advance data accuracy and efficiency across the division
  • Lead projects for implementing new QMS, analytics, and continuous improvement software, ensuring seamless integration with existing systems and alignment with evolving business needs - from requirements gathering through go-live and sustainment
  • Proactively identify and resolve application-related issues (break/fix), maintaining the reliability, accuracy, and effectiveness of quality and manufacturing data systems across all supported sites

Required Skills:
  • Manufacturing fluency - understanding of manufacturing processes, quality systems, and operational workflows, able to translate floor-level needs into structured data requirements
  • Power BI proficiency - advanced skill in developing interactive, multi-source dashboards and reports that communicate complex manufacturing data clearly to diverse audiences
  • PowerApps and Power Automate - experienced in building workflow automation and custom applications that support quality and operations teams
  • Data source architecture and pipeline development - ability to identify missing data, design new collection structures, and build integrations that bring previously uncaptured information into analytics platforms
  • Systems integration knowledge - skilled in connecting and harmonizing data streams from ERP, MES, QMS, and shop floor data collection systems into unified, reliable reporting environments
  • Data management - skilled in collecting, cleaning, organizing, and maintaining accurate large-scale manufacturing data sets with high attention to data integrity
  • Database systems and data architecture - knowledgeable in relational database concepts, data modeling, and architecture principles that support scalable analytics solutions
  • AI and emerging technology adoption - actively utilizes AI tools and new technologies to innovate data workflows, improve accuracy, and solve complex manufacturing and quality challenges
  • Project leadership - experienced in managing data and systems projects independently, setting priorities, coordinating cross-functional stakeholders, and delivering results on time
  • Cross-functional collaboration - highly effective working partner for process engineering, quality, operations, and IT teams - able to speak the language of the floor and the language of data with equal credibility

Desired Skills:
  • Lean / Six Sigma Green Belt or Black Belt - strongly preferred; the ability to apply structured problem-solving and variation reduction methodologies directly enhances the value of this role
  • SQL experience - ability to write and modify queries for data extraction, transformation, and validation across relational databases
  • Industrial engineering tools and methods - familiarity with time studies, process mapping, OEE frameworks, capacity analysis, or similar IE methodologies as they relate to data collection and analysis
  • Experience with shop floor data collection systems - historian platforms, SCADA, or similar real-time manufacturing data sources
  • Python or R - basic scripting for data manipulation or automation is a plus

Education & Experience:
  • Bachelor's degree in engineering, sciences, management, or arts
  • 3-5 years of hands-on experience with manufacturing data systems and processes, including working with ERP, MES, and QMS platforms for data integration, analysis, and reporting.

Additional Information:
  • Travel: 25%, primarily domestic, to support division and site-level business needs
  • This role requires someone who is equally comfortable on the manufacturing floor gathering data requirements and at the laptop building the dashboard - the ideal candidate sees both as equally important parts of the job.
  • Open to all locations, but able report to a Corning Headquarters as needed.

This position does not support immigration sponsorship.
The range for this position is $91,649.00 - $126,018.00 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.

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, Corning provides company matching contributions to your 401(k) savings plan of up to 4% of pay when you contribute at least 6% of pay.
  • 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.

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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