Analyst, Data Analytics

The position is responsible for quantitative analysis on structured pricing products and developing tools and models for forecast and valuation. This role maintains the existing quantitative models and provides detailed report on model results timely and accurately. The position is accountable for continuously improving models, analysis and database across different markets. The candidate must be able to develop and implement advanced modeling methodologies to foster company-wide business decision making.

This position also requires establishing close working relationship with other teams across the enterprise.

• Analyze and organize key customer data for use in pricing and planning.

• Manage, improve, and validate existing predicative models, including the running of monthly reports that summarize key forecasting results to be used throughout the organization.

• Develop new statistical models to support special project analysis as requested.

• Leveraging innovative technologies such as machine learning and AI techniques to foster data analytical capability and support company growth strategy

• Understand the importance of Data Analytics to the profitability of the company

• Constantly look for ways to improve the current models in multiple markets to mitigate potential model risks and enhance profitability

• Thorough knowledge of quantitative methods, statistical models, and optimization concepts and the ability to apply them to business situations

• Understand how data can be used and how data quality can be improved to discover and mitigate risks inherent in our business

• Exhibit high level of personal responsibility to data analysis.

• Support internal and external auditing on models and analytics tools

• Collaborate with other teams to develop modeling tools and analysis reports and communicate projects results/status to appropriate audience

• Partner with management in decision making processes and influence the actions of others to ensure the achievement of business goals

• Collect, organize, and process complex data and information from multiple sources, verify its accuracy, and effectively build analytical models based on the data to enhance business profitability

• Drive efficiencies through continuous process improvement without implementing undue complexity

• May direct the work of other lower-level professionals

Required:

• Bachelor’s degree in mathematics, economics, engineering, or similar discipline.

Preferred:

• Graduate degree in quantitative discipline

Related

Work Experience:

Required:

• 3-5 years’ experience in data analytics and database management

Preferred:

• Utility, natural gas or other energy industry experience
• Experience with Databricks and/or AI Cloud-Based Solutions

Specific Skills & Knowledge:

Required:

• Advanced proficiency in MS Office Suite such as Excel
• Knowledge of data base management systems such as SQL Server or MySQL
• Proven record of experience working with large databases and use of statistical models for valuation and prediction.
• Ability to manage multiple projects at once with several departments and stakeholders in a timely fashion with measurable results.

Related

Work Experience:

Required:

• 5-9 years’ experience in data gathering, analytics and reporting
• Proven track record of model creation and management in a business environment.
• Extensive experience in manipulating large databases using SQL and Azure

Preferred:

• Utility, natural gas or other energy industry experience
• Hands on experience with Machine Learning, Artificial Intelligence, and/or Big Data
• Experience with Databricks and/or AI Cloud-Based Solutions

Specific Skills & Knowledge:

Required:

• Advanced proficiency in MS Office Suite such as Excel
• Knowledge of data base management systems such as SQL Server or…