Sr Data Analyst

PSEG; Lower Melville (NY); Hybrid; USD 79,000 - 126,000; Full time

Job summary

PSEG Long Island is seeking a Sr Data Analyst to transform customer and operational data into actionable insights. You will leverage advanced analytics, statistical modeling, and ML to understand customer behavior and optimize interactions.

The role involves designing dashboards, supporting VoC programs, and collaborating across functions to advance analytics and AI-enabled decision making. Hybrid work in Melville, NY is available.

Qualifications

• Bachelor's degree in a quantitative field (Data Science, Analytics, Statistics, CS, Engineering).
• Minimum 5 years of data analytics or data science experience.
• Experience designing dashboards with Tableau and/or Power BI.
• Expertise in data wrangling and integrating multiple data sources.
• Proficiency with data prep/workflow tools (Alteryx, Tableau Prep).
• Experience with Python, SQL or R and machine learning methods.
• Proficient Excel (Pivot Tables, Word, PowerPoint).
• Strong analytical, problem-solving and communication skills.

Responsibilities

• Design and develop automated dashboards and visualizations to track customer metrics.
• Collaborate cross-functionally to consolidate data sources and support key initiatives.
• Support VoC programs, customer segmentation, propensity modeling, and predictive analytics.
• Ensure data quality, governance and best-practice analytics.

Skills

Analytical thinking

Communication

Problem solving

Team collaboration

Education

Bachelor's degree in Data Science/Analytics/Statistics/CS/Engineering

Tools

Tableau

Power BI

Python

SQL

Job description

Sr Data Analyst

Requisition : 82579.

PSEG Company : PSEG Long Island.

Salary Range : $79,400- $125,600.

Work Location Category : Hybrid - Melville, NY.

PSEG is not offering visa sponsorship for this position.

Job Summary:

PSEG Long Island's Customer Intelligence team is seeking a highly analytical and innovative professional to transform customer and operational data into actionable insights that drive strategic decision-making and elevate customer experiences.

This role will leverage advanced analytics, statistical modeling, machine learning, artificial intelligence, and data visualization techniques to understand customer behavior, identify trends, predict outcomes, and optimize customer interactions. The successful candidate will play a key role in translating complex data into meaningful business insights, collaborating across functions, and advancing the organization's use of modern analytics and AI technologies to amplify the Voice of the Customer throughout the company.

Job Responsibilities:

• Design & develop automated dashboards and create meaningful data visualizations that enable business leaders to track customer experience metrics, provide reporting solutions and support deep dive analytics.
• Work cross functionally to pull together information from internal and external sources to develop, launch, and track the performance of key initiatives aimed at improving customer experience and supporting higher J.D. Power performance.
• Support end-to-end Voice of the Customer (VoC) programs, customer segmentation, propensity modeling, and predictive analytics initiatives.
• Ensure data quality, governance, and adherence to analytical best practices.
• Proactively suggest advanced analytics solutions, analyze structured (quantitative) and unstructured (text, voice recordings) data, develop & deploy machine learning models and text analytics solutions.
• Establish external and internal relationships to share best practices in data science, stay abreast of industry trends and emerging technologies

Job Specific Qualifications:

• Bachelor's degree preferably in Data Science, Data Analytics, Statistics, Business, Economics, Computer Science, Engineering or a related field.
• Minimum 5 years of experience performing data analytics or data science.
• Experience designing and developing dashboards using Tableau and/or Power BI.
• Expertise in data wrangling, including integrating multiple data sources into cohesive data assets and aggregating large datasets for specific purposes.
• Proficiency with data preparation and workflow automation tools such as Alteryx or Tableau Prep.
• Experience with Python, SQL or R and machine learning methodologies.
• Proficient in Microsoft Excel, including Pivot Tables, Word, PowerPoint
• Strong analytical, problem-solving, and critical-thinking skills.
• Passion for customer insights and a commitment to improving customer experience through data-driven decision-making.
• Must have excellent verbal and written communication skills.
• Ability to manage multiple priorities in a dynamic environment.
• Ability to work effectively both independently and as part of a collaborative team.

Desired:

• Familiarity with J.D. Power and/or other electric utility voice of the customer resources.
• Experience with Customer research methodology, tools and techniques.

Some positions at PSEG require access to information covered by the Department of Energy's regulation 10 CFR 810 (Part 810). If applicable, the successful applicant must prove they are: (1) a citizen or national of the USA; OR (2) a lawful permanent resident of the United States (Non-Conditional Permanent I-551 / Green Card / Permanent Resident Card holder); OR (3) a citizen, national, or permanent resident of a "Generally Authorized" destination on the attached listandnot also a citizen, national, permanent resident of any country not listed; OR (4) a "Protected Individual" under the Immigration and Naturalization Act (8 U.S.C 1324b(a)(3)).

As an employee of PSEG Long Island, you should be aware that during storm/outage restoration efforts, you may be required to perform functions different from normal operations and work extended hours beyond your regular work schedule. You may also be required to work on premise or in an alternate location as directed by the company.

For all roles, PSEGLI's drug and alcohol testing program includes pre-employment testing, testing for cause, and post-incident/accident testing.
Employees who are hired or transfer into a federally regulated role (including positions covered by USDOT, PHMSA, or NRC regulations) are subject to random drug and alcohol testing, inclusive of marijuana. Although numerous states throughout the country have legalized marijuana/cannabis products recreationally and medically, the use of these products are prohibited for employees in federally regulated roles. Please note that the use of CBD products may result in a positive drug test for THC/Marijuana and such use is not a legitimate medical explanation for a positive result.

If you are a current PSEG employee and offered an opportunity with PSEG Long Island, you will be treated as a new hire. Please note that as a new hire to the Long Island subsidiary, your benefits will change and generally will be consistent with other similarly situated PSEG Long Island new hires. Similarly, for PSEG Long Island employees who accept job opportunities with PSEG or any of its subsidiaries (other than PSEG Long Island), their benefits will change and generally be consistent with other similarly situated new hires of that company.

PSEGLI is an equal opportunity employer, dedicated to a policy of non-discrimination in employment, including the hiring process, based on any legally protected characteristic. Legally protected characteristics include race, color, religion, national origin, sex, age, marital status, sexual orientation, disability or veteran status or any other characteristic protected by federal, state, or local law in locations where PSEG employs individuals.

PSEGLI is committed to providing reasonable accommodations to individuals with disabilities. If you have a disability and need assistance applying for a position, please call 973-430-3845 or email [e-mail].

If you need to request a reasonable accommodation to perform the essential functions of the job, email [e-mail]. Any information provided regarding a disability will be kept strictly confidential and will not be shared with anyone involved in making a hiring decision.