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Company Summary Statement

As one of the largest investor-owned utility companies in the United States, PPL Corporation (NYSE: PPL), is committed to creating long-term, sustainable value for our 3.5 million customers, our shareowners and the communities we serve. Our high-performing regulated utilities — PPL Electric Utilities, Louisville Gas and Electric, Kentucky Utilities and Rhode Island Energy — provide an outstanding experience for our customers, consistently ranking among the best utilities in the nation. PPL’s companies are also addressing challenges head-on by investing in new infrastructure and technology that is creating a smarter, more reliable and resilient energy grid. We are committed to doing our part to advance a cleaner energy future and drive innovation that enables us to achieve net-zero carbon emissions by 2050 while maintaining energy reliability and affordability for the customers and communities we serve. PPL is a positive force in the cities and towns where we do business, providing support for programs and organizations that empower the success of future generations by helping to build and maintain strong, diverse communities today.

Overview

We are seeking a highly skilled and experienced Sr Data Analyst with supervisory experience to lead our data analytics team. The ideal candidate will have a strong analytical background and the ability to lead and mentor other data analysts on our team. We are looking for a self-motivated, innovative and technical member of the HR team who has a proven track record in driving efficiency and data integrity through automation. The ideal candidate will be expected to strive for new and better ways to tell a story through data mining, analysis, and predictive modeling, which will be used by the business to make solid, data-driven decisions.

Responsibilities

+ Analyze complex data sets to identify trends and insights

+ Excellent pattern recognition and predictive modeling skills

+ Create presentations for various stakeholders that present the data in a consumable format for all types of audiences

+ Develop and maintain data models and dashboards

+ Prepare comprehensive reports for management decision-making

+ Supervise and mentor HR data analysts

+ Collaborate with cross-functional teams to understand business needs

+ Ensure data accuracy and integrity

+ Implement best practices for data analysis and reporting

+ Apply best available practices for artificial intelligence and machine learning

+ Utilize AI tools to automate data processing and reporting tasks

+ Visualize and report data findings creatively, using PowerBI, in a variety of visual formats that appropriately provide insights to the business

+ Highly self-motivated and directed with a keen attention to detail

Qualifications

Basic Qualifications

+ Bachelor’s degree in Data Science, Data Analytics, Statistics, Computer Science, or a related field

+ Minimum of 7 years of experience with ETL, data processing, database programming or data analytics.

+ Extensive background in data mining and statistical analysis.

+ Proficiency in data analysis software (e.g., SQL, Python, R)

+ Strong problem-solving skills and attention to detail

+ Excellent communication and interpersonal skills

+ Ability to work well under pressure and meet deadlines

+ Knowledge of natural language processing (NLP) techniques

+ Experience with predictive modeling and machine learning algorithms

+ Able to understand various data structures and common methods in data transformation

+ Highly self-motivated and ability to provide direction to staff and colleagues

+ Ability to drive projects and initiatives through to completion with minimal direction and oversight

Preferred Qualifications

+ Master’s degree in a relevant field

+ Knowledge of machine learning techniques

+ Knowledge of data warehousing tools such a Snowflake or other data warehouse applications.

+ Experience in a supervisory role within a large organization

Basic Qualifications

+ Bachelor’s degree in Data Science, Data Analytics, Statistics, Computer Science, or a related field

+ Minimum of 7 years of experience with ETL, data processing, database programming or data analytics.

+ Extensive background in data mining and statistical analysis.

+ Proficiency in data analysis software (e.g., SQL, Python, R)

+ Strong problem-solving skills and attention to detail

+ Excellent communication and interpersonal skills

+ Ability to work well under pressure and meet deadlines

+ Knowledge of natural language processing (NLP) techniques

+ Experience with predictive modeling and machine learning algorithms

+ Able to understand various data structures and common methods in data transformation

+ Highly self-motivated and ability to provide direction to staff and colleagues

+ Ability to drive projects and initiatives through to completion with minimal direction and oversight

Preferred Qualifications

+ Master’s degree in a relevant field

+ Knowledge of machine learning techniques

+ Knowledge of data warehousing tools such a Snowflake or other data warehouse applications.

+ Experience in a supervisory role within a large organization

+ Analyze complex data sets to identify trends and insights

+ Excellent pattern recognition and predictive modeling skills

+ Create presentations for various stakeholders that present the data in a consumable format for all types of audiences

+ Develop and maintain data models and dashboards

+ Prepare comprehensive reports for management decision-making

+ Supervise and mentor HR data analysts

+ Collaborate with cross-functional teams to understand business needs

+ Ensure data accuracy and integrity

+ Implement best practices for data analysis and reporting

+ Apply best available practices for artificial intelligence and machine learning

+ Utilize AI tools to automate data processing and reporting tasks

+ Visualize and report data findings creatively, using PowerBI, in a variety of visual formats that appropriately provide insights to the business

+ Highly self-motivated and directed with a keen attention to detail

Remote Work

The company reserves the right to determine if this position will be assigned to work on-site, remotely, or a combination of both. Assigned work location may change. In the case of remote work, physical presence in the office/on-site may be required to engage in face-to-face interaction and coordination of work among direct reports and co-workers.

Equal Employment Opportunity

Our company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, protected veteran status, sexual orientation, gender identify, genetic information, disability status, or any other protected characteristic.