Other
Medical, Dental, Vision, Life, Retirement, PTO
Posted 6 days ago
Job description
Kforce's client in Chicago, IL is seeking a detail-oriented Data Analyst with a finance background and hands-on experience working with utility invoices and large, complex datasets. This role supports utility & sustainability accuracy, cost optimization, and data-driven decision-making across utility spend and related sustainability initiatives. Experience with sustainability, energy management, or ESG reporting is preferred.
REQUIREMENTS:
* Bachelor's degree in Finance, Accounting, Economics, Data Analytics, or a related field
* 2+ years of experience in a data analyst, financial analyst, or similar role
* Demonstrated experience working with utility invoices and utility data
* Strong financial acumen, including cost analysis, variance analysis, and reconciliation
* Advanced proficiency in Excel (pivot tables, formulas, macros preferred)
* Experience with data analysis tools such as Smartsheet, Power BI, Tableau, or similar
* High attention to detail with strong analytical and problem-solving skills
Preferred Qualifications:
* Experience supporting sustainability, energy management, or ESG reporting initiatives
* Familiarity with utility tariffs, rate structures, and regulatory concepts
* Experience with utility or energy management software (e.g., invoice management or energy tracking platforms)
* Exposure to GHG accounting frameworks (e.g., Scope 1 & 2 emissions, utility-related Scope 3)
* Ability to translate complex data into clear, executive-ready insights
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Analyst?
A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.
Q: What is the career path for a Data Analyst?
A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.
