Sr Data Scientist
Philadelphia, PA · On-site
PECO is part of Exelon, a Fortune 200 company leading the energy transformation. The Sr Data ... Apply missing data treatments as needed. (25%) • Analyze data using advanced analytics techniques ...
2 Peco Financial 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 ... Apply missing data treatments as needed. (25%) • Analyze data using advanced analytics techniques ...
Prin Project Manager
Philadelphia, PA · On-site
... Company (PECO), and Potomac Electric Power Company (Pepco). We're committed to creating an ... reporting, project financial analysis, major equipment procurement, environmental analysis ...
Prin Project Manager
Philadelphia, PA · On-site
... Company (PECO), and Potomac Electric Power Company (Pepco). We're committed to creating an ... reporting, project financial analysis, major equipment procurement, environmental analysis ...
PECO Jobs Information
What are the key skills and qualifications needed to thrive as a Financial Analyst, and why are they important?
To thrive as a Financial Analyst, you need strong analytical abilities, proficiency in financial modeling, and typically a degree in finance, accounting, or a related field. Familiarity with tools such as Microsoft Excel, financial databases (like Bloomberg), and certifications such as CFA or CPA are often required. Attention to detail, effective communication, and problem-solving skills help analysts interpret data and present actionable insights. These abilities are crucial for making informed recommendations that drive sound financial decisions and business growth.
How does a Financial Analyst typically collaborate with other departments within a company?
Financial Analysts frequently work cross-functionally with teams such as accounting, operations, and marketing to gather data, analyze business performance, and support strategic planning. Regular collaboration ensures that financial models and forecasts are based on accurate, up-to-date information from across the organization. This teamwork is essential for preparing budgets, evaluating investment opportunities, and providing actionable insights to management. Strong communication and relationship-building skills are important for success in these collaborative efforts.
What does a Financial Analyst do?
A Financial Analyst is responsible for analyzing financial data, preparing reports, and making recommendations to help businesses and individuals make informed investment decisions. They evaluate economic trends, study financial statements, and assess the performance of stocks, bonds, and other types of investments. Financial Analysts often work for banks, investment firms, insurance companies, or corporate finance departments, providing insights that support key financial strategies and planning.
Is 40 too late to start a career in finance?
Starting a career as a financial analyst at age 40 is possible, as many employers value skills, experience, and certifications like the CFA. Transitioning into finance may require additional training or education, but age is generally not a barrier if you demonstrate relevant knowledge and a strong work ethic.
What is the difference between Financial Analyst vs Accountant?
| Aspect | Financial Analyst | Accountant |
|---|---|---|
| Required Credentials | Bachelor's degree in finance, accounting, or related field; certifications like CFA or CPA are common | Bachelor's degree in accounting or finance; CPA certification often preferred |
| Work Environment | Financial firms, investment banks, corporate finance departments | Accounting firms, corporate accounting departments, government agencies |
| Primary Responsibilities | Analyzing financial data, creating reports, forecasting, investment analysis | Preparing financial statements, maintaining records, ensuring compliance with regulations |
| Industry Usage | High in finance, investment, and corporate sectors | Widespread across all industries requiring financial record-keeping |
Financial Analysts and Accountants share similar educational backgrounds and certifications, often working in related environments. However, Financial Analysts focus on analyzing financial data and making investment recommendations, while Accountants handle financial record-keeping and compliance. Both roles are essential in finance, but they serve different functions within organizations.
What other companies are hiring for Financial 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.