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Data Analytics Jobs in Rochester, NY (NOW HIRING)

Data Architect - Remote

Rochester, NY · Remote

$120K - $173K/yr

Conduct source-system data profiling and analysis to understand domain-specific data, identify quality issues, and inform modeling decisions * Build conceptual, logical, and physical data models ...

Data Science Tutor

Rochester, NY · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Financial Analyst II

Rochester, NY · On-site

$29.33 - $41.06/hr

Makes recommendations and provide decision support to senior leadership (Dean, Department Managers, Department Chairs) and principal investigators based on data analytics of financial position of ...

Data Processing Tech

Rochester, NY · On-site

$19.50 - $25/hr

This non-exempt analytical position is based in a large outpatient family medicine practice; data coordinator provides support to clinical teams to ensure that patients receive chronic disease care ...

In this role, you will be responsible for yield modeling, process integration, and data-driven analysis to strengthen the competitiveness of Si and SiC-based products. onsemi (Nasdaq: ON) is driving ...

Sr. Financial Analyst, Americas GBS

Victor, NY · On-site

$82K - $102K/yr

... data analytics to support Americas GBS leadership, with a primary focus on cash forecasting, liquidity management, and working capital optimization. This role consolidates data from multiple systems ...

Showing results 41-60

Data Analytics information

See Rochester, NY salary details

$24

$54

$93

How much do data analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data analytics in Rochester, NY is $54.02, according to ZipRecruiter salary data. Most workers in this role earn between $43.41 and $61.20 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
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 cities near Rochester, NY are hiring for Data Analytics jobs? Cities near Rochester, NY with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $112,355 per year, or $54 per hour.

Lead Project Data Engineering Manager

Deloitte

Rochester, NY • On-site

$51 - $69/hr

Other

Posted 10 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

46th of 150 rated financial services


Job description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

Lead complex Medicaid encounter and data delivery workstreams that help government clients improve operations, decision-making, and mission outcomes. In this role, you will drive day-to-day project execution, coordinate cross-functional teams, and support leadership with clear reporting, risk management, and delivery oversight. You will also bring technical depth to client deliverables, code review, and team coaching across data and analytics efforts. This is an opportunity to combine project leadership, stakeholder coordination, and data engineering support in a high-impact environment.
As a Lead Data Engineer II on the AI & Data team, you will be responsible for...

  • Lead day-to-day management of Medicaid encounter workstreams, including workplan ownership, milestone tracking, and risk escalation with recommended mitigation actions.
  • Coordinate weekly status reporting across workstreams, review submissions for completeness and accuracy, and support leadership review prior to delivery.
  • Manage staffing and delivery coordination, including competing priorities, team burn monitoring, and onboarding support for new practitioners.
  • Facilitate client and internal meetings, including recurring status meetings and ad hoc working sessions, and support invoice review and update coordination for leadership approval.
  • Provide technical and cross-portfolio support through deliverable review, SQL and code peer review, practitioner coaching, and promotion of data engineering best practices.

A successful candidate would possess these skills:
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, Statistics, or a similar quantitative field
  • 6+ years of experience in data engineering, data management, or technology delivery
  • 3+ years of experience leading project workplans, milestone tracking, status reporting, and risk management for data or technology programs
  • 2+ years of experience using Structured Query Language (SQL) for data analysis, validation, or code review
  • 2+ years of experience supporting Medicaid, healthcare, or public sector data programs
  • Ability to travel 15-30%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Master's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, Statistics, or Public Health
  • 2+ years of experience with Snowflake or another cloud data platform
  • 2+ years of experience with Python, PySpark, or data pipeline development
  • 2+ years of experience with Agile delivery methods, including sprint planning and backlog tracking
  • 2+ years of experience leading client-facing status meetings and executive reporting for technology programs
  • 1+ year of experience coaching or supervising practitioners on data engineering or analytics delivery

For individuals assigned and/or hired to work in New York, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to New York and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,700 to $229,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

Lead complex Medicaid encounter and data delivery workstreams that help government clients improve operations, decision-making, and mission outcomes. In this role, you will drive day-to-day project execution, coordinate cross-functional teams, and support leadership with clear reporting, risk management, and delivery oversight. You will also bring technical depth to client deliverables, code review, and team coaching across data and analytics efforts. This is an opportunity to combine project leadership, stakeholder coordination, and data engineering support in a high-impact environment.
As a Lead Data Engineer II on the AI & Data team, you will be responsible for...

  • Lead day-to-day management of Medicaid encounter workstreams, including workplan ownership, milestone tracking, and risk escalation with recommended mitigation actions.
  • Coordinate weekly status reporting across workstreams, review submissions for completeness and accuracy, and support leadership review prior to delivery.
  • Manage staffing and delivery coordination, including competing priorities, team burn monitoring, and onboarding support for new practitioners.
  • Facilitate client and internal meetings, including recurring status meetings and ad hoc working sessions, and support invoice review and update coordination for leadership approval.
  • Provide technical and cross-portfolio support through deliverable review, SQL and code peer review, practitioner coaching, and promotion of data engineering best practices.

A successful candidate would possess these skills:
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, Statistics, or a similar quantitative field
  • 6+ years of experience in data engineering, data management, or technology delivery
  • 3+ years of experience leading project workplans, milestone tracking, status reporting, and risk management for data or technology programs
  • 2+ years of experience using Structured Query Language (SQL) for data analysis, validation, or code review
  • 2+ years of experience supporting Medicaid, healthcare, or public sector data programs
  • Ability to travel 15-30%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Master's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, Statistics, or Public Health
  • 2+ years of experience with Snowflake or another cloud data platform
  • 2+ years of experience with Python, PySpark, or data pipeline development
  • 2+ years of experience with Agile delivery methods, including sprint planning and backlog tracking
  • 2+ years of experience leading client-facing status meetings and executive reporting for technology programs
  • 1+ year of experience coaching or supervising practitioners on data engineering or analytics delivery

For individuals assigned and/or hired to work in New York, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to New York and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,700 to $229,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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