LocationUS - CO, Boulder; US - NY, New York; US - VA, Arlington; US - TX, Austin; US - IL, Chicago; US - PA, Philadelphia; US - GA, Atlanta; US - MA, Boston
Typefull-time
SeniorityEntry
Experience1+ yrs
DepartmentData Science Consulting
Company size10,000+ people
First seenSep 10, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have4
Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or a related quantitative discipline
One (1) or more years of professional experience applying data analytics, business intelligence, data science, or related quantitative techniques to solve complex business problems
Experience with analytical and data management tools such as Python, SQL, R, Databricks, Power BI, Tableau, GIS, or similar technologies
Experience working with large and complex datasets and developing analytical solutions from concept through implementation
Nice to have8
Experience supporting electric, gas, water, or other energy-sector organizations
Strong communication and consulting skills, including the ability to translate technical concepts into business insights and recommendations
Ability to manage multiple priorities while collaborating effectively with clients, stakeholders, and multidisciplinary teams
Familiarity with utility business functions such as customer programs, DERs, electrification, asset management, operations, regulatory planning
Experience with cloud-based analytics platforms, data engineering, AI, machine learning, geospatial analytics, or optimization techniques
Experience developing dashboards, data products, or decision-support applications for business users
Experience working in a consulting or client-facing environment
Master's degree or relevant certifications in analytics, cloud technologies, or data engineering
Skills
Python
R
Snowflake
SQL
Databricks
Power BI
GIS
Tableau
Benefits
Medical insurance
Prescription drug coverage
Dental insurance
Vision insurance
Paid time off
Company holidays
Bonus
Parental leave
Adoption assistance
401(k)
Life insurance
Supplemental life insurance
Health savings account
Flexible spending accounts
Short term disability
Long term disability
Student loan paydown
Tuition reimbursement
Professional development
Employee referral program
Corporate sponsored events
Community outreach
Emergency backup childcare
Mobility stipend
Job Family:
About the role
Data Science Consulting
Travel Required:
Up to 10%
Clearance Required:
Requirements
None
What You Will Do
•
Perform data analysis and develop analytical solutions using tools such as Python, R, Snowflake, SQL, Databricks, Power BI, GIS, and other modern analytics platforms to address complex client business challenges.
•
Partner with utility clients and Guidehouse subject matter experts to define business objectives, analytical approaches, technical requirements, and actionable recommendations.
•
Design, develop, test, and implement data, analytics, and AI-enabled solutions that support utility clients’ business objectives.
•
Translate business needs into scalable analytical workflows, data products, dashboards, visualizations, and decision-support tools.
•
Present findings and recommendations to technical and non-technical audiences, helping clients gain confidence in data-driven decisions.
What You Will Need
•
Bachelor’s degree in Data Science, Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or a related quantitative discipline
•
ONE (1) or more years of professional experience applying data analytics, business intelligence, data science, or related quantitative techniques to solve complex business problems
•
Experience with analytical and data management tools such as Python, SQL, R, Databricks, Power BI, Tableau, GIS, or similar technologies.
•
Experience working with large and complex datasets and developing analytical solutions from concept through implementation.
What Would Be Nice To Have
•
Experience supporting electric, gas, water, or other energy-sector organizations.
•
Strong communication and consulting skills, including the ability to translate technical concepts into business insights and recommendations.
•
Ability to manage multiple priorities while collaborating effectively with clients, stakeholders, and multidisciplinary teams.
•
Familiarity with utility business functions such as customer programs, DERs, electrification, asset management, operations, regulatory planning.
•
Experience with cloud-based analytics platforms, data engineering, AI, machine learning, geospatial analytics, or optimization techniques.
•
Experience developing dashboards, data products, or decision-support applications for business users.
•
Experience working in a consulting or client-facing environment.
•
Master’s degree or relevant certifications in analytics, cloud technologies, or data engineering.
The annual salary range for this position is $89,000.00-$148,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
•
Medical, Rx, Dental & Vision Insurance
•
Personal and Family Sick Time & Company Paid Holidays
•
Position may be eligible for a discretionary variable incentive bonus
•
Parental Leave and Adoption Assistance
•
401(k) Retirement Plan
•
Basic Life & Supplemental Life
•
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
•
Short-Term & Long-Term Disability
•
Student Loan PayDown
•
Tuition Reimbursement, Personal Development & Learning Opportunities
•
Skills Development & Certifications
•
Employee Referral Program
•
Corporate Sponsored Events & Community Outreach
•
Emergency Back-Up Childcare Program
•
Mobility Stipend
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
Legal
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected]. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.