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Business Data Analyst

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Location

Houston, United States

Discipline

IT

Employment

Direct Hire

Global Edge is an international staffing firm connecting projects worldwide with the industry’s most talented project professionals. We work with high level technical and commercial personnel across multiple industries including Oil and Gas, Energy, Renewables, Infrastructure, Automotive and Motorsports, IT, Marine, Mining, and more. With offices strategically located worldwide, Global Edge is known for the highest level of delivery for our clients and contractors.



POSITION OVERVIEW


For the local office of our top-brand international energy services/OEM client firm, we are seeking a Business Data Analyst.  As a key member of the Operational Excellence Group, this position involves leveraging a strong background in analytics, consulting, and project management to drive process improvements and automation within the Aftermarket/Manufacturing domain.



TOP SKILLS REQUIRED:


- Must have at least 8 years of overall professional business analysis experience


- Must have at least 3 years of hands-on Python experience


- Must have business acumen beyond data analytics, with some operations experience preferred


- Must have strong interpersonal communication plus presentation skills



ROLES AND RESPONSIBILITIES:


- Understand system relationships for the Aftermarket/ Manufacturing and related processes, utilizing Python for data extraction and manipulation.


- Evaluate Aftermarket (Spares/Service/Repair) business processes, anticipating requirements, identifying improvement areas, and utilizing Python for data analysis and process optimization.


- Assist in developing and implementing systems solutions for process improvements and automation within the Operational Excellence group


- Provide supporting evidence using advanced analytics to guide the business user community.


- Assist/document change requirements for future process changes/improvements.


- Report ongoing business issues relating to processes/systems, leveraging Python for data-driven insights and reporting.


- Assist senior management to provide strategic direction and developing, implementing, and monitoring goals, objectives, priorities, and procedures relating to the organization, using Python for data-driven decision-making.


- Understand Aftermarket (Spares/Service/Repair) strategy and working toward continuous business process improvements based on immediate and future business needs, utilizing Python for data analysis and process innovation.


- Apply process innovation to overcome organizational problems and drive efficiency.


- Complete set tasks within the Operational Excellence group's work areas, leveraging Python for data analysis and process optimization.


- Assist with design and reports with metrics used to demonstrate efficiency and effectiveness, identifying roadblocks, and assessing impact to project plans, using Python for data analysis and reporting.


- Develop priorities and communicate with support functions while taking an active role in problem resolution as required.



EDUCATION & EXPERIENCE QUALIFICATIONS


- Minimum of 8 years of experience in a business process-related role, with a strong background in consulting, project management, and Python for data analysis and automation.


- Exceptional conceptual thinking skills, with a global mindset and expertise in Python for data analysis and process optimization


- Bachelor's degree in Business, Data Science, or a related field required; MBA or equivalent advanced degree preferred.



Required Skills:



EDUCATION & EXPERIENCE QUALIFICATIONS



- Minimum of 8 years of experience in a business process-related role, with a strong background in consulting, project management, and Python for data analysis and automation.


- Exceptional conceptual thinking skills, with a global mindset and expertise in Python for data analysis and process optimization


- Bachelor's degree in Business, Data Science, or a related field required; MBA or equivalent advanced degree preferred.



- Must have at least 8 years of overall professional experience working outside of it departments


- Must have business acumen beyond data analytics (previous operations experience is required)


- Must have at least 3 years of hands-on Python experience


- Must have some experience with Snowflake


- Looking for candidates that have previous experience in the manufacturing industry, supporting large manufacturing facilities


-Must have strong communication skills (both written and verbal)


- Must be a great story-teller and have strong presentation skills (both virtual and in-person)


- Must have strong leadership skills to lead initiatives


- Must be adaptable: a fast-moving company so the candidate must be able to shift focus and change priority items quickly on an as-needed basis.



Behavorial Competencies


- Action-oriented, goal-driven, with a clear analytical mindset and the skills to work in an agile manner to accommodate business requirements, leveraging Python for data-driven decision-making and automation.


- Excellent listening, oral, interpersonal, and written communication skills, with self-motivation and strong problem-solving capabilities, both as an individual and as part of a team/workgroup.


- Able to influence others/build consensus with peers and business, with a strong background in consulting, project management, and Python for data analysis and automation.



WORK CONDITIONS


Energy Corridor Westheimer/Richmond 77042 area


Office-based first three months, then hybrid work schedule


Salary $125 - 145K


ICP Incentive Compensation Plan Bonus to10%


Excellent benefits


No relocation offered. Must be local to Houston, TX.



Global Edge Group, LLC is an Equal Opportunity Employer. The Global Edge Group, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.


 

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