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Entry Level Power Bi Analyst Jobs in Rochester, NY

... analysis * Some experience with ETL operations sourcing data from SQL, REST APIs, and flat files * Basic experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel ...

... analysis * Some experience with ETL operations sourcing data from SQL, REST APIs, and flat files * Basic experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel ...

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Entry Level Power Bi Analyst information

See Rochester, NY salary details

$14

$38

$67

How much do entry level power bi analyst jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for entry level power bi analyst in Rochester, NY is $38.11, according to ZipRecruiter salary data. Most workers in this role earn between $25.62 and $47.69 per hour, depending on experience, location, and employer.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming an entry-level Power BI analyst or data analyst, as the field values skills and experience over age. Many professionals successfully transition into data analysis later in their careers by learning tools like Power BI, acquiring relevant certifications, and building a portfolio. Employers often prioritize analytical skills, problem-solving ability, and familiarity with data visualization over age constraints.

Can I get a job in Power BI without experience?

Entry-level Power BI analyst roles often do not require extensive experience, but having foundational skills in data visualization, data modeling, and familiarity with Power BI tools is beneficial. Demonstrating self-taught knowledge, completing relevant certifications, or building a portfolio of projects can improve chances of securing such positions without prior professional experience.

What is the difference between Entry Level Power Bi Analyst vs Data Analyst?

AspectEntry Level Power Bi AnalystData Analyst
Required SkillsPower BI, Excel, basic SQLExcel, SQL, data visualization tools
CertificationsPower BI certification preferredNone mandatory, often Excel or SQL certifications
Work EnvironmentBusiness intelligence teams, reporting departmentsData teams, analytics departments
Industry UsageCommon in finance, marketing, salesWidespread across industries including healthcare, finance, retail

While both roles involve data analysis, an Entry Level Power Bi Analyst specializes in creating reports and dashboards using Power BI, focusing on visualization and business insights. A Data Analyst has a broader scope, working with various tools and data sources to analyze and interpret data across multiple platforms. The Power BI Analyst role is more focused on reporting, whereas the Data Analyst may handle more extensive data manipulation and analysis tasks.

What does an Entry Level Power BI Analyst do?

An Entry Level Power BI Analyst is responsible for collecting, analyzing, and visualizing data using Microsoft Power BI. They create interactive dashboards and reports to help organizations make data-driven decisions. Their tasks often include cleaning and transforming raw data, connecting to various data sources, and collaborating with other team members to understand business requirements. This role is ideal for those who are new to data analytics but have strong analytical skills and familiarity with Power BI.

Is Power BI still in demand in 2026 and after 2026?

Power BI remains a highly sought-after skill for entry-level analysts as organizations continue to prioritize data visualization and business intelligence tools. Demand is expected to stay strong due to ongoing digital transformation efforts and the need for data-driven decision-making, making Power BI a valuable skill for future job opportunities.

Will AI replace Power BI jobs?

AI is unlikely to fully replace Power BI analyst roles, as these jobs require data interpretation, visualization skills, and domain knowledge that AI tools currently support but do not fully automate. Instead, AI can enhance analysts' productivity by automating routine tasks, allowing them to focus on insights and strategic analysis. Developing skills in data modeling, DAX, and AI integration can help Power BI analysts stay valuable in evolving environments.

What are the key skills and qualifications needed to thrive as an Entry Level Power BI Analyst, and why are they important?

To thrive as an Entry Level Power BI Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency in Power BI, often supported by a relevant degree in analytics, computer science, or a related field. Familiarity with Microsoft Power BI, Excel, and possibly SQL or other data visualization tools is typically required, and certifications like Microsoft Certified: Data Analyst Associate can be advantageous. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret data and present insights clearly to stakeholders. These skills ensure accurate data analysis, meaningful reporting, and the ability to drive informed business decisions.

What are some common challenges faced by entry level Power BI analysts, and how can they overcome them?

Entry level Power BI analysts often encounter challenges related to understanding complex datasets and adapting to diverse business requirements. Learning to effectively clean and transform raw data is essential, as is becoming familiar with DAX functions and Power Query. Collaborating with senior analysts or team members can help you grasp best practices and troubleshoot problems. Taking advantage of online tutorials and company-provided training will also accelerate your learning curve and boost your confidence in building impactful reports and dashboards.
What are popular job titles related to Entry Level Power Bi Analyst jobs in Rochester, NY? For Entry Level Power Bi Analyst jobs in Rochester, NY, the most frequently searched job titles are:
Infographic showing various Entry Level Power Bi Analyst job openings in Rochester, NY as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $79,279 per year, or $38.1 per hour.
Data Scientist II

Data Scientist II

Honeywell

Pittsford, NY • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 182 frontline employees who took The Breakroom Quiz

67th of 527 rated manufacturers


Job description

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3rd party analytical components. You will develop new innovative solutions, evaluate & integrate 3rd party solutions, and deploy state-of-the-art AI-ML models and data mining techniques that leverage physical access control system datasets to unlock new security insights for end-user customers.

Do you enjoy integrating systems together, mashing-up datasets and analyzing them by leveraging state-of-the-art data mining, generative AI, and ML techniques to drive decision making?  As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI systems and ML models to deliver analytical systems that improve forensic and real-time security outcomes.  These analytical systems you develop in-house and 

You will report directly to our Director of Engineering, and you'll work out of our Pittsford, NY location on a Hybrid work schedule.

As a Data Scientist II here at Honeywell, you will be responsible for developing and implementing advanced data analytics models and algorithms to solve complex business problems. You will work closely with cross-functional teams to understand business needs and translate them into data-driven solutions. Your role will involve leveraging machine learning, statistical modeling, and data analysis techniques to provide actionable insights that drive business value.

In this role, you will impact the business by optimizing processes, reducing costs, and identifying growth opportunities through data-driven insights. Your contributions will help position Honeywell at the forefront of data-driven innovation, leveraging cutting-edge technologies and advanced analytics to propel the business forward.

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

YOU MUST HAVE

  • BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.)
  • 2+ years of experience in modern advanced analytical tools and programming languages, including Python with scikit-learn
  • Some experience with exploratory data analysis
  • Some experience with ETL operations sourcing data from SQL, REST APIs, and flat files
  • Basic experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc.
  • 2+ years of experience in traditional programming languages such as Python, JavaScript, TypeScript, C++, or C#
  • Comfortable in Windows and Linux environments

WE VALUE

  • Some exposure to building generative AI applications leveraging embeddings, LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks
  • Basic understanding of various deployment topologies including on-premises, hybrid, and cloud for production generative AI applications
  • Basic understanding of building predictive and decision-making AI applications.
  • Some exposure to using cloud services from AWS, Azure, or GCP to develop solutions.
  • Awareness of computer vision and image/video analysis, including object detection, recognition, tracking, and identification
  • Some exposure with application of data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural networks, SVMs, anomaly detection, recommender systems, pattern discovery, and text mining
  • Problem Solving: Ability to solve problems using analytical thinking, reconciling viewpoints, and evaluating technologies.
  • Communication: Demonstrates effective verbal and written communication skills when explaining complex technical issues to both technical and non-technical audiences
  • Continuous learning mindset

ABOUT HONEYWELL


Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state of the art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more (https://www.honeywell.com/us/en)

BENEFITS OF WORKING FOR HONEYWELL

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. Learn more (https://benefits.honeywell.com/)

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posted: July 1, 2026

THE BUSINESS UNIT


Honeywell Building Automation (BA) is a leading global provider of products, software, solutions, and technologies that enable building owners and occupants to ensure their facilities are safe, energy efficient, sustainable, and productive. BA products and services include advanced software applications for building control and optimization; sensors, switches, control systems, and instruments for energy management; access control; video surveillance; fire products; and installation, maintenance, and upgrades of systems. Revenues in 2022 for BA were $6B and there are approximately 18,000 employees globally. To learn more, please visit https://buildings.honeywell.com/

U.S. PERSON REQUIREMENTS

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.

KEY RESPONSIBILITIES

  • Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques.
  • Interact with 3rd parties to evaluate integration feasibility and licensing of technologies and analytic components
  • Design, prototyping, and implementation of new data-centric solutions
  • Effectively communicate and collaborate with local teams, international teams, and 3rd parties
  • Contribute to build versus buy decisions
  • Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as may be necessary to bring solutions to life
  • Self-starter that can take minimal direction and deliver results
  • Curious problem solver

What Honeywell employees say

Pay

Benefits

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Honeywell logo

About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906