What are the responsibilities and job description for the Mgr Business Market Analytics position at Williams?
Do something that means something at Williams. This isn’t just a job - it’s an opportunity to explore and discover your passion with coworkers who become friends and mentors who push you to be your best self in and out of the office. At Williams, we make clean energy happen. And you can too, so bring your energy to ours!
As Manager of Business Market Analytics, you will lead and develop a team to responsible for transforming data into actionable intelligence that shapes corporate strategy, external messaging, and business decisions. You'll develop and implement the market analytics strategy to drive long-term value creation by analyzing natural gas market fundamentals and datasets to support and guide business opportunities. Your team will build models and reports, automate and integrate data into decision-making processes across various groups, including the executive officer team. A passion for telling a story with data, an interest in innovation and process improvement, and leadership skills are keys to success!
Your work will challenge you, and with our Core Values to guide you, you’ll quickly learn and grow with us.
Responsibilities/Expectations:
As Manager of Business Market Analytics, you will lead and develop a team to responsible for transforming data into actionable intelligence that shapes corporate strategy, external messaging, and business decisions. You'll develop and implement the market analytics strategy to drive long-term value creation by analyzing natural gas market fundamentals and datasets to support and guide business opportunities. Your team will build models and reports, automate and integrate data into decision-making processes across various groups, including the executive officer team. A passion for telling a story with data, an interest in innovation and process improvement, and leadership skills are keys to success!
Your work will challenge you, and with our Core Values to guide you, you’ll quickly learn and grow with us.
Responsibilities/Expectations:
- Leads team with the data analytics strategy, creating a clear vision to centralize data analytics efforts, enhancing value for our employees and bottom line
- Assists team to provide actionable business insights, leveraging technologies to help business partners form data-driven decisions
- Exhibits deep expertise in analyzing natural gas market trends, optimizes capacity and pipeline flows, and designs pricing strategies to maximize market performance
- Develops prototypes for modeling, data mining and creates complex models that demonstrate predictive analytics; leads and develops testing plans and implementation plan for tools used to improve efficiency, effectiveness and predict customer behaviors
- Leads vendor data recommendations and cost management efforts
- Provides business processes, workflows and technology solution recommendations to support business objectives
- Other duties as assigned
- Required: Bachelor's Degree in Computer Science, Engineering, Information Technology, Statistics, Mathematics or related and 10 (Ten) years experience in related
- Preferred: Master's Degree in Data Science, Machine Learning or related and 12 (Twelve) years experience in related
- Demonstrates outstanding organizational/interpersonal skills and safety as the utmost priority
- Proficiency in Microsoft Office Applications
- Strong people leadership skills, ability to manage by influence and guide key technology design decisions in close collaboration with leaders and business partners
- Passionate about building up the members of the team, unbiased, and displays high level of intellectual integrity
- Ability to analyze data trends, find correlations, and forecast probable outcomes
- Understanding of modern data architectures, data engineering and data science techniques
- Excellent project management skills, and ability to balance long and short term projects based on priority
- Preferred: Advanced experience in GPCM, Databricks, MLFlow, AzureDevOps, SQL, Python, Power BI or similar technologies
- Preferred: Ability to work with complex data sets
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