Mgr, Product Dev & Analytics

Job Summary: 

As a key member of the Product Quantitative Analytics team, this position is responsible for providing analytical support on structured energy products such as Guaranteed Bill Product (GBP) or Fixed Bill (FB). This includes the oversight of algorithms and calculation of demand forecast at customer level for millions of customers across multiple existing markets within, (FL, GA, IL, MI, OH & PA).

The position is also accountable for leading cross-functional team to provide analytical support routinely. In addition, a major point of emphasis in this role will be developing new forecast models to support the company’s initiative of offering and growing new Structured Products in expanding markets and thus bring tangible gains to the company. 

The position requires demonstrated capability of leveraging statistical and machine learning techniques to improve existing models and build new analytic solutions. 

Job Responsibilities & Accountabilities by Competency Functional Expertise: 

- Provide customer specific demand forecast timely and successfully to facilitate the continuous success of existing structured products - Lead cross-functional team to provide analytical support and visualized business insights to ensure the streamline process of renewing current and enrolling new customers 

- Build and implement model enhancement process to continuously improve the forecast and reporting accuracy - Provide demand forecast for First of Month (FOM) and Year to Go (YTG) process in selected Local Distribution Centers (LDCs) each month 

- Develop, back test and implement new analytical models by leveraging advanced statistical and machine learning techniques to support different company initiatives and strategies as requested

- Develop and provide summary presentations to support commercial operation and financial planning 

- Support internal and external auditing on models and analytics tools 

Business Acumen: 

- Demonstrate the excellent analytical and modeling skills and knowledge and the ability to apply them to business situations for value creation and operational integrity 

- Understand the importance of Data Analytics to the profitability of the company. Be committed to continuous improvement through empowerment and management by data and able to make sound recommendations with limited data 

- Be able to prioritize and attend to critical details and accurately scope out length and difficulty of tasks and projects to meet business goals 

- Identify opportunities to meld existing data architecture with new ones as technology emerges and is adopted at the company 

- Open to new ideas and new techniques and leverage them to positively impact business decisions and empower end users with appropriate knowledge 

Engagement: 

- Ability to establish effective work relationship with all levels of employees and customers 

- Build and lead informal cross-functional teams to develop modeling tools and analysis reports and present project status and results timely and accurately to appropriate audience 

- Demonstrate the ability to manage and mentor individuals. Must be self-motivated with minimal supervision required 

- Ability to gain alignment with different opinions and represent a common point of view across multiple stakeholders 

Driving Results: 

- Build and foster productive, collaborative and inclusive work relationship to achieve personal and company goals 

- Demonstrate a solid sense of accountability and experience identifying and resolving issues independently 

- Plan engagement objectives and key deliverables; manage using analytics processes to mitigate risks in data, modeling, validation and delivery; 

- Assess, capture and translate issues and requirements into structured analytics use case, including rapid learning of industry dynamics and development of effective work stream plans 

- Drive efficiencies through continuous process improvement without implementing undue complexity 

- Be proactive and anticipate the information others need to accomplish objectives 

Qualifications 

Education, Certifications/Licenses: 

Required: 

- Master’s degree in quantitative field (Mathematics, Economics, Statistics, etc.) 

Preferred: 

- PhD in quantitative discipline from an academic institution is highly preferred

Related Work Experience: Required: 

- 5-10 years of applicable working experience in data analytics, preferably in the energy industry or finance industry 

- Minimum five years of experience involving modeling (regression, machine learning, validation) 

Preferred: 

- Previous supervisory/management experience as a people leader

- Applicant may possess a combination of equivalent education and work experience 

Specific Skills & Knowledge: 

Required: 

- Strong communication skills across various levels within the organization. 

- Strong knowledge of database management systems such as Oracle or SQL Server

- Extensive experience with statistical programming tools such as Phyton, R, SPSS and SAS

- Must be able to demonstrate the ability to manage and mentor individuals. Must be self-motivated with minimal supervision required

- Strong business/financial acumen with a working knowledge and understanding of business operations and drivers

- Ability to conduct business analysis and predictive modeling with design recommendations for presentations to senior leadership

- Demonstrates integrity and trust in all situations

- Ability to develop relationships and positively persuade others throughout the organization at all levels

Preferred: 

- Creativity in solving unconventional problems, entrepreneurial drive to learn new skills and technologies 

- Demonstrated relationship management experience 

- Working knowledge of Power BI or Tableau, Databricks and Azure

Working Conditions/Physical Requirements: 

- The incumbent works in an office environment with a hybrid schedule, 4 days onsite with 1 remote day from home, and subject to change per business needs. 

Disclaimer: This information describes the general nature and level of work performed by employees in this job. The description is not designed to be a comprehensive inventory of duties, responsibilities and qualifications required in the job. Reasonable accommodations may be made to qualified disabled individuals for performance of essential duties and responsibilities.