Advisor, Management Data Analysis

Hill international•Pomona, CA

10h•$110,000 - $130,000•Remote

About The Position

Hill International is seeking an Advisor, Management Data Analysis in Pomona, California Responsibilities Apply advanced expertise in modeling, forecasting, and economic analysis, applying statistical, algorithmic, and economic methods to solve complex business problems and quantify performance. Apply advanced experience to develop dashboards and visualization solutions using Power BI, Excel, SAS, and other BI tools. Develop reports, metrics, insights, and executive ready narratives that translate analytical results into operational and strategic decision support. Design, develop, and maintain end to end data engineering and data management solutions, including ETL, data modeling, data warehouses, and preparation of large, complex datasets for analytical and predictive use. Understands the data to help identify patterns, trends, and opportunities to drive continuous improvement through process, upgrades, reporting features, and/or formats. Conduct in-depth analysis of project data. Create and maintain clear technical documentation and provide data and analytical support to executives, managers, and cross functional operational teams. Qualifications A combination of education, training, and experience, generally equivalent to those typically possessed by a 4‐year college graduate (from accredited institution in applicable profession, business, or science/technology/engineering/math). Bachelor’s degree in Computer Science, Information Systems/Technology, Data Analytics, or a related discipline, or equivalent combination of education, training, and experience. 7+ years of experience designing and delivering data engineering solutions. Experience using Microsoft Office, Business Intelligence tools, SAS, and SAP. Expert level Excel skills, including Power Query. Knowledge of utility business operations. Advanced proficiency in SQL preferred. Lean Six Sigma Black Belt certification preferred. Must be local to Southern California. Remote position; but requires frequent mandatory meetings in Pomona, CA. The salary range for this position is $110,000 - $130,000. The offered salary will be based on the applicants qualifications, education, experience and work location. Depending upon your employment status, Hill’s comprehensive benefits may include, Medical, Dental, Vision, Employer Paid Life and Accidental Death & Dismemberment Insurances, Business Travel Accident Insurance, Short-Term Disability, Long Term Disability, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Commuter Benefits, Legal Assistance, Identity Theft Protection, Pet Insurance, Auto & Home Insurance, Critical Illness Insurance, Accident Insurance, Hospital Indemnity Insurance, Voluntary Life & Accidental Death & Dismemberment Insurance. Paid Time Off (PTO), Holidays, 401(K) Retirement Savings Plan, Employee Referral Program, Professional Certification Incentive Program, Hill University Learning and Development, Tuition Reimbursement, EAP, Years of Service Awards Program.

Requirements

A combination of education, training, and experience, generally equivalent to those typically possessed by a 4‐year college graduate (from accredited institution in applicable profession, business, or science/technology/engineering/math).
Bachelor’s degree in Computer Science, Information Systems/Technology, Data Analytics, or a related discipline, or equivalent combination of education, training, and experience.
7+ years of experience designing and delivering data engineering solutions.
Experience using Microsoft Office, Business Intelligence tools, SAS, and SAP.
Expert level Excel skills, including Power Query.
Knowledge of utility business operations.
Must be local to Southern California.
Remote position; but requires frequent mandatory meetings in Pomona, CA.

Nice To Haves

Advanced proficiency in SQL preferred.
Lean Six Sigma Black Belt certification preferred.

Responsibilities

Apply advanced expertise in modeling, forecasting, and economic analysis, applying statistical, algorithmic, and economic methods to solve complex business problems and quantify performance.
Apply advanced experience to develop dashboards and visualization solutions using Power BI, Excel, SAS, and other BI tools.
Develop reports, metrics, insights, and executive ready narratives that translate analytical results into operational and strategic decision support.
Design, develop, and maintain end to end data engineering and data management solutions, including ETL, data modeling, data warehouses, and preparation of large, complex datasets for analytical and predictive use.
Understands the data to help identify patterns, trends, and opportunities to drive continuous improvement through process, upgrades, reporting features, and/or formats.
Conduct in-depth analysis of project data.
Create and maintain clear technical documentation and provide data and analytical support to executives, managers, and cross functional operational teams.