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

Mindex

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

... throughput & performance of the entire data & analytics platform. * Ensure data extraction ... transformation and loading data meet data security & compliance requirements. * Engage with data ...

Pwc

Data Engineer - Senior Associate

Rochester, NY

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... You are expected to anticipate the needs of your teams and clients, and to deliver quality work.

Mvphealthcare

Professional, Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

Capacity to develop procedures that support task management, data structure, dependence and metadata. * Advanced ability to recognize innovative solutions. * Experienced in a variety of analysis ...

MVP Healthcare

Professional, Data Engineer

Rochester, NY

$113K - $135K/yr

Capacity to develop procedures that support task management, data structure, dependence and metadata. * Advanced ability to recognize innovative solutions. * Experienced in a variety of analysis ...

Varsity Tutors

Data Analysis Tutor

Rochester, NY · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

TalentBurst, Inc.

Data Analyst

Fairport, NY

... of extension based on demand/need Interview Process: Two Rounds - First Round Phone Screen, Second ... Strong attention to detail and accuracy Good organizational and time management skills Ability to ...

Premier Staffing Solution

Data Analyst 1

Fairport, NY · On-site

We are seeking a contract engineer or data analyst to complete the implementation of the coating ... in data management/analysis. • Strong data management and analysis experience. • High ...

TalentBurst, Inc.

Data Analyst 1

Fairport, NY

This position will take over day-to-day technical execution of the project. A current subject ... data management/analysis. ** " Strong data management and analysis experience. ** " High ...

Premier Staffing Solution

Data Analyst 2

Fairport, NY · On-site

Maintain organized electronic and/or paper records of department data * Generate routine reports ... Ability to work independently and manage multiple priorities * Strong written and verbal ...

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All JobsManager Of Data Analytics JobsManager Of Data Analytics Jobs in Rochester, NY

Manager Of Data Analytics information

See Rochester, NY salary details

$30.6K

$95.9K

$169.8K

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

As of Jun 14, 2026, the average yearly pay for manager of data analytics 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.

How much do data analytics managers make in the US?

Data analytics managers in the US typically earn between $90,000 and $150,000 annually, with the median salary around $115,000. Salaries vary based on experience, industry, location, and company size, and managers often oversee teams using tools like SQL, Python, or Tableau.

What does a Manager of Data Analytics do?

A Manager of Data Analytics oversees a team responsible for collecting, analyzing, and interpreting large data sets to help organizations make informed business decisions. They develop data strategies, ensure data quality, and collaborate with other departments to identify opportunities for leveraging data-driven insights. Their role typically includes managing analytics projects, mentoring team members, and communicating findings to stakeholders in a clear and actionable manner.

What is the highest salary in data analytics?

The highest salaries in data analytics are typically earned by senior roles such as Director of Data Analytics or Chief Data Officer, with annual compensation exceeding $150,000 and often reaching over $200,000 or more in large organizations. Factors influencing top salaries include extensive experience, advanced skills in machine learning and big data tools, and industry specialization.

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

To thrive as a Manager of Data Analytics, you need strong analytical abilities, expertise in data modeling, and a solid background in statistics or computer science, often supported by a bachelor's or master's degree. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and analytics platforms such as Python or R, along with experience in project management systems, is typically required. Excellent leadership, communication, and problem-solving skills help you effectively manage teams and convey insights to stakeholders. These skills are crucial for transforming complex data into actionable strategies that drive business performance and innovation.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, the need for human expertise in interpreting data, understanding context, and communicating findings remains essential in data analytics roles.

What does a data analytics manager do?

A data analytics manager oversees the collection, analysis, and interpretation of data to support business decision-making. They lead data teams, develop analytics strategies, and use tools like SQL, Python, or Tableau to generate insights that improve organizational performance.

What are the typical challenges faced by a Manager of Data Analytics when leading a diverse analytics team?

A Manager of Data Analytics often encounters challenges such as aligning team members with varying technical backgrounds, ensuring clear communication of complex data insights to non-technical stakeholders, and balancing multiple project priorities. Additionally, fostering a culture of continuous learning is essential due to the rapid evolution of analytics tools and methodologies. Successful managers address these challenges by promoting collaboration, setting clear expectations, and providing ongoing professional development opportunities.

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

AspectManager Of Data AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often some management experienceBachelor's degree in related field; entry to mid-level role
Work EnvironmentLeads teams, manages projects, collaborates with senior managementAnalyzes data, prepares reports, supports decision-making
Employer & Industry UsageUsed across industries to oversee analytics teams and strategiesCommonly employed to perform data analysis tasks within organizations

The main difference is that the Manager Of Data Analytics oversees analytics teams and strategies, requiring leadership skills and management experience, while Data Analysts focus on analyzing data and generating reports. The manager role involves higher-level responsibilities and team coordination, whereas data analysts execute specific data tasks to support business decisions.

Manager Of Data Analytics jobs near you
Data Engineer - Remote

Data Engineer - Remote

Mindex

Rochester, NY • Remote

$90K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago

Job description

With more than 30 years of success, Mindex is a software development and cloud services company known for delivering innovative solutions. We've built products like SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, giving us deep expertise in developing and scaling modern software.

Named the #1 Software Developer in the 2025 RBJ Book of Lists and ranked #80 in the Rochester Chamber Top 100, we're passionate about helping our clients succeed and creating opportunities for our team to grow and make an impact.
We are looking for a Data Engineer who enjoys solving complex problems and building scalable data solutions. This person will play a key role in designing, developing, and optimizing data platforms that support analytics, reporting, machine learning, AI initiatives, and other data-driven business needs.

The ideal candidate is comfortable working on new projects, contributing to technical architecture decisions, and collaborating with cross-functional teams to deliver end-to-end solutions. Strong communication skills are important, as you'll need to explain technical concepts to both technical and non-technical audiences and work closely with clients, stakeholders, and team members.

Essential Functions:

  • Assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources.
  • Provide operational support and troubleshooting for existing processes and systems.
  • Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities.
  • Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform.
  • Ensure data extraction, transformation and loading data meet data security & compliance requirements.
  • Engage with data source platform leads to gain tactical and strategic understanding of data sources required by Agency Data Services AI/ML as well as Data Office standards.
  • Create data tools for data scientist team members that assist them in building and optimizing models.

Requirements

  • BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience required.
  • 4+ years working with SQL, Snowflake, Databricks, Spark, and other big data technologies; 4+ years using Python, SQL, PySpark, R, or similar languages and manipulating, processing, and extracting value from large, disconnected data sets.
  • 4+ years building and optimizing data pipelines, architectures, and data sets to answer business questions and identify opportunities for improvement
  • 2+ years supporting large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB.
  • 2+ years addressing privacy, compliance, and security aspects of data storage and processing; and delivering data solutions in Agile environments.
  • 2+ years with software development and CI/CD methodologies and tools for automated infrastructure code and MLOps and designing, implementing, and maintaining automation platforms and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps, and GitHub Actions.
  • 2+ years with Salesforce FSC and Salesforce Data Cloud.

Skills & Competencies:

  • Strong communication and problem-solving skills.
  • Troubleshooting expertise.
  • Proficiency in Python, SQL.
  • Experience with Extract, Transform, Load (ETL) processes.
  • Experience building data pipelines.
  • Experience with Apache Spark and Apache Hadoop.
  • Experience with Amazon Web Services.

Benefits

  • Health insurance
  • Paid holidays
  • Flexible time off
  • 401k retirement savings plan and company match with pre-tax and ROTH options
  • Dental insurance
  • Vision insurance
  • Employer paid disability insurance
  • Life insurance and AD&D insurance
  • Employee assistance program
  • Flexible spending accounts
  • Health savings account with employer contributions
  • Accident, critical illness, hospital indemnity, and legal assistance
  • Adoption assistance
  • Domestic partner coverage

The salary range for this role reflects a wide range of factors including skill set, experience, training, and internal equity. It is not typical for individuals to be hired at the top of the range.

The salary range is $90,000 - $140,000.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor, or take over, sponsorship of an employment Visa at this time.