Data Analyst

Qualifications
Selection Criteria # 1: Technical Skills:
1. Familiarity with technologies such as Azure SQL, Python, and Power BI.
2. Data Catalog/Lineage (Purview), Data Modeling Techniques, Data fluency/modeling, Ability to use different data visualizations techniques and apply them appropriately.
3. Fundamental knowledge of Information Risk Management (IRM)
4. Knowledge and/or experience with Cloud computing, data collection, cleaning and preparation, business process and data modeling, data strategy, policies, and governance.

Selection Criteria # 2: Align and Inspire:
Proven skill in being the link between different stakeholder groups (e.g., IT & Business) to collect, express and clarify requirements, while also matching goals & expectations among stakeholders to produce work products.

Selection Criteria # 3: Build Relationships: Demonstrated ability to
1. Build trusted working relationships with peers and stakeholders (internal & external parties) across global teams and time zones while seeking ways to maintain a work life balance through asynchronous communications.
2. Collaborate within an agile mindset and seek/acknowledge diverse perspective from others

Selection Criteria # 4: OE Culture:
1. Demonstrates behaviors that are aligned with the Chevron Way.
2. Understands OE requirements specific to current role.
3. Follows procedures, seeks understanding of hazards, and verifies necessary safeguards are in place and sufficient.
4. Challenges norms and stops work when an unsafe condition or act may result in an undesirable event or if the task is unclear.
5. Applies Human and Organizational Performance principles to minimize error-likely situations in the performance of their work.
6. Understands reporting requirements for incidents, near misses and potential noncompliance and acts accordingly.
Job Description
A Data Analyst is responsible for gathering, analyzing and problem solving as it relates to data, types of data, and relationships among data elements within a business system or IT system and with business domain subject matter expertise. A Data Analyst provides expertise on how Business workflows map to data, and how data can be integrated to build reusable data products. A Data analyst will serve as a subject matter expert for delivery teams. A Data analyst will serve as a subject matter expert for delivery teams.

Responsibilities for this position may include but are not limited to:
•Understanding the business use of data and stakeholder requirements to support work processes and strategic business objectives.
•Working with business (digital platform, Business Units, function teams) and delivery teams to provide data management direction and support for data foundation initiatives and data products development.
•Analyzing current data management: process, practices, tools, and helping shape future needs. Contributing to the design of common information models.
•Assessing data quality concerns specific to workflow solutions being adopted and driving mitigation activities.
•Advising on the appropriate data integration patterns, data modeling and data quality.
•Maintaining and sharing knowledge of requirements, key data types and data definitions, data stores, data creation process.
•Knowledge of Finance data and SAP are an advantage