Analytics Manager

Our Favorite CITGO Perks are:

• Remote Work options available for eligible positions • Options are department and/or location specific• 9/80 Work Schedule Option (where applicable)• Annual Vacation Incentive (40-120 hours of additional pay) for Eligible Employees• Paid Vacation Time• Company-Paid Holidays• Parental Leave• Excellent 401(k) Match• Pension Plan• Company-Paid Sick Leave and Long-Term Disability• Medical, Dental, & Vision Plans; FSA and HSA options• Company-Paid Life Insurance for Active Employees• Healthy Rewards Program• Service Awards Program• Educational Assistance Plan• Dependent Children Scholarships• Reimbursement for Gym Membership• Employee Discount Programs• On-site Health Clinic• On-site Cafeteria (select locations)• On-site Credit Union and ATM (Corporate office only)• On-site Fitness Center (select locations)

PLEASE NOTE ALL JOBS DO NOT QUALIFY FOR ALL PERKS

Relocation

Relocation Benefits are not available for this position.

Note

Employer will sponsor visas for position

Job Summary

Analysis is concerned with three primary areas: (1) Optimization Solutions, such as measurement of competitive performance and its drivers, customer/product mix, sales lift studies, price elasticities, etc., (2) Predictive & Exploratory Analytics, such as demand forecasting, prioritization of trends, market potential for new business models, (3) Thought Leadership, such as applying augmented decision making with ML/AI, creative use of internal and external data sources with pragmatic curiosity.

Individual will act as an individual contributor within a group of technical personnel.

Individual will function as an analytical translator/facilitator between the operational business units and technical personnel.

Individual will work with business units to develop key modelling and manage analytical projects to optimize profitability.

Individual will work with and educate the operational business units on key analytical needs to help establish sustainable innovations within the business units.

Requires strong understanding of the functions and foundations of both the business and of analytics.

Requires application of well-developed technical knowledge in data modelling/architecture, conducting and coordinating difficult, responsible assignments.

Minimum Qualifications

Degree:

• Bachelor's Degree.
• Bachelor's degree in Mathematics/Statistics, Computer Science, Engineering, Supply Chain Management or Business preferred.

The minimun number of years of job related experience required by this job is:

• 5+ years.

List any specialized training or unique skills required:

• Strong knowledge of data analytics required.
• High degree of knowledge on Power BI/DAX/M required.
• Strong knowledge of general data visualization/business intelligence/automation tools (Power BI, Tableau, Power Platform, etc.) preferred.
• Knowledge of downstream oil & gas business strongly preferred.
• Proficiency in data analytics tools such as R, Python, SQL a plus.
• Experience with SAP and Azure platforms a plus.
• Excellent written and verbal communication skills preferred.
• Ability to simplify complex information.
• Desire and willingness to continuously expand knowledge and skills.
• Passionate and creative about solving complex and difficult problems, both in group and individual settings.
• Applicant must be self-starter and comfortable with situations where solutions are not always clear or obvious.

Job Duties

1. Collaborate with business units and Commercial Analytics R&D team to develop and implement complex analytics models to drive data-driven insights and optimizations within Supply & Marketing. Develop and deliver data-driven presentations and reports to internal stakeholders, including business leaders and senior management. Support ad-hoc data analysis and reporting requests as needed.
2. Lead research and development projects to advance the commercial analytics capabilities of the company. Participate in the design and implementation of new data systems and infrastructure to support advanced analytics.
3. Contribute to the development and implementation of data governance, data management and data quality control processes. Develop and/or maintain data architecture (including design, implementation & governance of deployment) and data dictionaries to ensure data consistency. Oversee data quality & governance to ensure accuracy and consistency of data for analytics purposes.
4. Stay current with industry trends and emerging technologies and apply them to improve the company's analytics capabilities. Requires a commitment to ongoing professional development and a willingness to continuously expand expertise.
5. Provide training and support to business stakeholders on the use of data and analytics tools.