An Important Message about Exelon Recruitment during COVID-19

We hope that you and your loved ones are managing through this challenging and uncertain time. The COVID-19 pandemic has demanded unprecedented changes to our daily lives. That said, what hasn’t changed for us is the vital work we do, and our commitment to ensuring the safety of our candidates, employees, customers, and communities. While our hiring process looks a bit different today, with 100 percent virtual interviewing and other solutions in place to facilitate proper social distancing, we remain focused on powering possibilities for new talent who are ready to join us in making a difference. As always, you can find our available opportunities here. We truly appreciate your continued interest in opportunities with Exelon and our family of companies.

Data Analyst

Location: OAK BROOK, IL, United States
Organization: ComEd
Job ID: 233626
Date Posted: Sep 14, 2021

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Job Description

Description

At Exelon, we've got a place for you!

Join the nation's leading competitive energy provider, with one of the largest electricity generation portfolios and retail customer bases in the country. You will be part of a family of companies that strives for the highest standards of power generation, competitive energy sales, and energy delivery. Our team of outstanding professionals is focused on performance, thought leadership, innovation, and the power of ideas that come from a diverse and inclusive workforce.

Exelon will provide you the tools and resources you need to design, build and enhance a successful career. We are also dedicated to motivating the success of our employees through competitive base salary, incentives, and health and retirement benefits.

Join Exelon and share your passion at a forward-thinking Fortune 100 company. Establish yourself in a place where you can truly shine and create a brighter, more sustainable tomorrow. Energize your career at Exelon!


PRIMARY PURPOSE OF POSITION

The purpose of this position is to provide transactional data analysis and support for Human Resource applications. Key responsibilities include day to day support of client requests for data extraction, reporting and analysis as well as system operations. Additionally, this position will respond to client inquiries and provide exceptional delivery of customer service including; end user education, issue resolution and recommendations for change.


PRIMARY DUTIES AND ACCOUNTABILITIES

  • Collect requirements, extract and compile information to answer the client’s most important data questions. This includes building queries, reports, and dashboards that allow others to interact, utilize, and better understand the underlying data, relationships, and insights. Maintain, improve, and automate existing reports and analyses using a sustainable and scalable methodology. Communicate findings to internal and external stakeholders on both a reoccurring and ad-hoc basis.
  • Operational support of HR applications including system configuration, documentation and customization as required. This includes helping to develop oversight and governance strategies of report generation and standardization.
  • Identify areas for improvement of service delivery, quality controls and efficiency of operations with a focus on customer service excellence. Manage relationships with stakeholders, and continuously improve processes for end-users.
  • Act as an internal consultant and liaison between business clients, HR and IT.
  • Performs tasks associated with critical or analytical engineering projects, develop and maintain quantitative analytical models and methodologies to identify trends and predict outcomes, provide explanations of the modeling and its results to management and senior leaders.

  • Leverage in-depth technical knowledge of predictive analytics, statistics, modelling techniques and simulation approaches to develop valuation, risk management, and pricing models.

  • Conduct research and produce proof-of-concept demonstration systems to test new quantitative modeling approaches and solutions to complex problems.

  • Translate quantitative and business concepts into efficient, robust, supportable system design and architecture.

POSITION SCOPE

  • Works under minimal supervision

 

Qualifications

MINIMUM QUALIFICATIONS

  • Undergraduate degree in Mathematics, Computer Science, Statistics, Information Systems/Technology, Accounting, Business, Engineering, Finance or related subject area
  • 2 to 5 years of relevant experience
  • Strong analytical skills with the ability to collect, organize and analyze significant amounts of information with attention to detail and accuracy
  • Comfort querying, interpreting and visualizing data from a variety of different sources to create a cohesive story
  • Proficient user skills in Excel
  • Experience in SQL
  • Experience with data exploration, data visualization, data preparation, report design and delivery using Power BI/Tableau or other business intelligence tools
  • Strong written and verbal communication skills, including the ability to communicate technical concepts to a non-technical audience
  • High standards for customer service and the ability to build effective working relationships


PREFERRED QUALIFICATIONS

  • Proficient user skills in Power Query, Power Pivot
  • Experience & knowledge in relational databases
  • Ideal candidate will have experience performing quantitative analysis and developing and/or validating models to support data scientist or quantitative engineers in running their quantitative strategies.

  • Experience obtaining insights from data in the form of descriptive analytics and visuals

  • Experience with Python, R, ArcGIS, and Oracle in obtaining and manipulating data (Python = HIGHEST priority) 

  • Experience with complex SQL queries and the ability to edit current queries with ease

  • Cloud and DevOps experience using Microsoft Azure and the ability to track code and processes using repositories (e.g. GIT)

  • Ability to handle changing deadlines and with ease

  • Experience developing, deploying, and scaling data science models (e.g. predictive)

  • Previous experience with Energy or Utility industry experience.


Exelon is proud to be an equal opportunity employer and employees or applicants will receive consideration for employment without regard to: age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law.

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EEO is the Law Poster

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