Business Data Analyst - AG Foundry
Houston, TX 77001
About the Job
JOB ROLE: 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.
***Hybrid work after 3 months.
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 in documenting 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 in providing strategic direction and developing, implementing, and monitoring goals, objectives, priorities, and procedures relating to the organization, using Python for data-driven decision-making.
- Understand the Aftermarket (Spares/Service/Repair) strategy and work 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 the impact on 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.
- Participate in training where required.
- Contribute to general improvements in the quality and key activities of the department/area.
- Carry out job requirements in accordance with established procedures and specifications.
- Be safety conscious and report any safety hazards to HSE.
- Responsible for maintaining and promoting a safe working environment in accordance with the appropriate HSE procedures.
- Participate in actions that promote a safety and quality culture.
- Comply with all company and Quality, Health Safety Environmental policies & procedures.
- Ensure compliance with the company’s overall objectives.
- Other duties as assigned by management and leadership within the Operational Excellence group.
Requirements
- 6+ 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.
- Strong proficiency in Python for data analysis, automation, and process optimization, with solid proficiency in Microsoft Office, particularly Excel. Proficiency with Excel formulas, pivot tables, and graphing.
- Strong IS skillset in non-Microsoft applications for data analysis, automation, and visualization.
- Experience with different methods for dealing with large, multi-dimensional data sets, including relational databases, SQL, and ETL.
- Highlight critical path activities that can affect project deadlines/deliverables.
- Maintain a high degree of situation awareness, leveraging Python for data analysis and insight generation.
- Arrange remote meetings and workgroups with business leaders and/or SMEs in a matrixed organization.
Qualifications: 8+ years of progressively responsible relevant experience in data management, including creating partnerships, implementing data governance, and understanding the underlying technologies needed to enable data innovation across a midsized or large organization required. Bachelor’s degree in Data Science, Management Information Systems, Statistics, Analytics, Econometrics, or equivalent required; MBA/Master’s degree preferred. Experience in computer programming, query languages, and internet-based data visualization platforms such as Domo and Tableau preferred. Demonstrated experience with developing data strategy, enterprise data architecture policies, and procedures, as well as successfully executing programs that meet or exceed expectations in a dynamic environment; experience creating tools and capabilities to assist with data discovery & collaboration, ensure data quality, and to load, clean, enrich, manage, and share data and metadata from a variety of sources required. Experience in understanding of cloud-based data lake architectures for data management, master data, law warehouse and supporting Analytics, BI dashboards. Experience with Microsoft Azure and Databricks, PowerBI environment with be a Plus. Familiarity with big data technologies (e.g., Hadoop, HBase) and Extract Transform Load (ETL) tools required. Deep understanding of data and analytics as it relates to business and strategy operations. Experience independently starting self-sustaining teams is a plus. Effectively worked with senior leadership in setting strategic 6+ month direction. Operated well in the unknown - experienced with rapid growth and constantly shifting challenges and priorities. We're looking for someone who is able to adapt and shift strategy quickly and is able to manage the team well in the process. Consistently made culture choices that positively impact all of engineering and technology. Worked well in cross-functional teams (engineering, product, design, operations).
Source : AG Foundry