Sr Data Scientist
Philadelphia, PA · On-site
PECO is part of Exelon, a Fortune 200 company leading the energy transformation. The Sr Data ... and analytics support to multiple business units (20%) • Works with stakeholders and subject ...
2 Peco Business Analyst Jobs Hiring Near You
Sr Data Scientist
Philadelphia, PA · On-site
PECO is part of Exelon, a Fortune 200 company leading the energy transformation. The Sr Data ... and analytics support to multiple business units (20%) • Works with stakeholders and subject ...
Prin Project Manager
Philadelphia, PA · On-site
... Company (PECO), and Potomac Electric Power Company (Pepco). We're committed to creating an ... Business Case Development (cost/benefit evaluations including net present value analysis) E.
Prin Project Manager
Philadelphia, PA · On-site
... Company (PECO), and Potomac Electric Power Company (Pepco). We're committed to creating an ... Business Case Development (cost/benefit evaluations including net present value analysis) E.
PECO Jobs Information
What are the key skills and qualifications needed to thrive as a Business Analyst, and why are they important?
To thrive as a Business Analyst, you need strong analytical skills, business process understanding, and typically a degree in business, finance, or information systems. Familiarity with requirements gathering tools, data visualization software (such as Tableau or Power BI), and knowledge of methodologies like Agile or Scrum are commonly required. Excellent communication, problem-solving abilities, and stakeholder management are standout soft skills for this role. These competencies enable Business Analysts to bridge the gap between technical and business teams, ensuring successful project outcomes and organizational improvements.
How does a Business Analyst typically collaborate with stakeholders throughout a project lifecycle?
Business Analysts play a crucial role in facilitating communication between stakeholders, such as business leaders, end-users, and technical teams. Throughout the project lifecycle, they gather requirements, clarify objectives, and ensure that all parties are aligned on project goals. Regular meetings, requirement workshops, and ongoing feedback sessions are common practices to keep stakeholders engaged and informed. This collaborative approach helps minimize misunderstandings and ensures that the final solution meets business needs.
What are business analysts?
Business analysts are professionals who evaluate business processes, identify needs, and propose data-driven solutions to help organizations improve efficiency and achieve their strategic goals. They act as a bridge between stakeholders and IT teams, gathering requirements and ensuring that projects align with business objectives. Business analysts often use data analysis, modeling, and documentation techniques to support decision-making and drive business growth.
What other companies are hiring for Business Analyst jobs?
What are the most popular jobs at Peco?
Job description
Job Summary:
PECO is part of Exelon, a Fortune 200 company leading the energy transformation. The Sr Data Scientist will apply the scientific method to extract knowledge and insights from various data sources, collaborating with internal stakeholders to turn data into critical information for decision-making.
Responsibilities:
• Develop key predictive models that lead to delivering a premier customer experience, operating performance improvement, and increased safety best practices. Develop and recommend data sampling techniques, data collections, and data cleaning specifications and approaches. Apply missing data treatments as needed. (25%)
• Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks, including – but not limited to – Python, R, Scala, or equivalent; Spark, Hadoop file system and others (15%)
• Access and analyze data sourced from various Company systems of record. Support the development of strategic business, marketing, and program implementation plans. (15%)
• Access and enrich data warehouses across multiple Company departments. Build, modify, monitor and maintain high-performance computing systems. (5%)
• Provide expert data and analytics support to multiple business units (20%)
• Works with stakeholders and subject matter experts to understand business needs, goals and objectives. Work closely with business, engineering, and technology teams to develop solution to data-intensive business problems and translates them into data science projects. Collaborate with other analytic teams across Exelon on big data analytics techniques and tools to improve analytical capabilities. (20%)
Qualifications:
Required:
• Education: Bachelor's degree in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field
• 4-7 years of relevant experience developing hypotheses, applying machine learning algorithms, validating results to analyze multi-terabyte datasets and extracting actionable insights is required. Previous research or professional experience applying advanced analytic techniques to large, complex datasets.
• Analytical Abilities: Strong knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization.
• Technical Knowledge: Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc.). Experience working within an open source environment and Unix-based OS.
• Communication Skills: Ability to translate data analysis and findings into coherent conclusions and actionable recommendations to business partners, practice leaders, and executives. Strong oral and written communication skills.
Preferred:
• Education: Masters, or PhD in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Ops Research, Physics, Statistics, or related field
• Proven expertise in DAP, Google Analytics 4, Google Tag Manager, Google BigQuery, and Oracle SQL Developer. Skilled in translating complex digital channel data into actionable insights that optimize customer journeys, enhance operational efficiency, and drive data-driven decision-making through strong collaboration with business and technology stakeholders.
• Experience: Prior exposure to data structures pertaining to smart-meters, billing, or outage management systems. Prior exposure to the utilities or broader energy sector. Prior exposure to the full spectrum of data science lifecycle, including data acquisition, maintenance, processing, analysis, and communication.
• Analytic Abilities: Solid understanding of relevant theories in machine learning, statistics, probability theory, data structures and algorithms, optimization, etc.
• Technical Knowledge: Expert level coding skills (Python, R, Scala, SQL, etc), and experience developing in a Unix environment. Proficiency in database management and large datasets: create, edit, update, join, append and query data from columnar and big data platforms.
• Communication Skills: Ability to translate executive and analytics leaders' vision and guidance into methods and analytics. Strong time management and presentation skills.
Company:
Advancing smart energy to provide safe, reliable, affordable and clean energy and energy services for our customers and the communities we serve. With a history of more than 130 years of service to the Greater Philadelphia region, PECO has a long-standing commitment to a culture of excellence. Founded in 1881, the company is headquartered in Philadelphia, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
PECO is part of Exelon, a Fortune 200 company leading the energy transformation. The Sr Data Scientist will apply the scientific method to extract knowledge and insights from various data sources, collaborating with internal stakeholders to turn data into critical information for decision-making.
Responsibilities:
• Develop key predictive models that lead to delivering a premier customer experience, operating performance improvement, and increased safety best practices. Develop and recommend data sampling techniques, data collections, and data cleaning specifications and approaches. Apply missing data treatments as needed. (25%)
• Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks, including – but not limited to – Python, R, Scala, or equivalent; Spark, Hadoop file system and others (15%)
• Access and analyze data sourced from various Company systems of record. Support the development of strategic business, marketing, and program implementation plans. (15%)
• Access and enrich data warehouses across multiple Company departments. Build, modify, monitor and maintain high-performance computing systems. (5%)
• Provide expert data and analytics support to multiple business units (20%)
• Works with stakeholders and subject matter experts to understand business needs, goals and objectives. Work closely with business, engineering, and technology teams to develop solution to data-intensive business problems and translates them into data science projects. Collaborate with other analytic teams across Exelon on big data analytics techniques and tools to improve analytical capabilities. (20%)
Qualifications:
Required:
• Education: Bachelor's degree in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field
• 4-7 years of relevant experience developing hypotheses, applying machine learning algorithms, validating results to analyze multi-terabyte datasets and extracting actionable insights is required. Previous research or professional experience applying advanced analytic techniques to large, complex datasets.
• Analytical Abilities: Strong knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization.
• Technical Knowledge: Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc.). Experience working within an open source environment and Unix-based OS.
• Communication Skills: Ability to translate data analysis and findings into coherent conclusions and actionable recommendations to business partners, practice leaders, and executives. Strong oral and written communication skills.
Preferred:
• Education: Masters, or PhD in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Ops Research, Physics, Statistics, or related field
• Proven expertise in DAP, Google Analytics 4, Google Tag Manager, Google BigQuery, and Oracle SQL Developer. Skilled in translating complex digital channel data into actionable insights that optimize customer journeys, enhance operational efficiency, and drive data-driven decision-making through strong collaboration with business and technology stakeholders.
• Experience: Prior exposure to data structures pertaining to smart-meters, billing, or outage management systems. Prior exposure to the utilities or broader energy sector. Prior exposure to the full spectrum of data science lifecycle, including data acquisition, maintenance, processing, analysis, and communication.
• Analytic Abilities: Solid understanding of relevant theories in machine learning, statistics, probability theory, data structures and algorithms, optimization, etc.
• Technical Knowledge: Expert level coding skills (Python, R, Scala, SQL, etc), and experience developing in a Unix environment. Proficiency in database management and large datasets: create, edit, update, join, append and query data from columnar and big data platforms.
• Communication Skills: Ability to translate executive and analytics leaders' vision and guidance into methods and analytics. Strong time management and presentation skills.
Company:
Advancing smart energy to provide safe, reliable, affordable and clean energy and energy services for our customers and the communities we serve. With a history of more than 130 years of service to the Greater Philadelphia region, PECO has a long-standing commitment to a culture of excellence. Founded in 1881, the company is headquartered in Philadelphia, USA, with a team of 1001-5000 employees. The company is currently Late Stage.