Data Analyst Advisor Full Time

About the Role – We are seeking a detail-oriented and proactive Data Analyst with experience in governance and data architecture to join our Decision Analytics team. In this role, you will play a key part in managing and optimizing our data architecture, ensuring the security, accuracy and quality of our data stewardship practices, and supporting the overall data governance framework across the organization. The ideal candidate will have a strong understanding of data management principles, as well as hands-on experience with data quality, metadata management, and data governance processes across many platforms.

As part of our team, you will collaborate with cross-functional teams, including Data Engineers, Data Scientists, IT, and Business Analysts, to ensure that data is effectively governed and leveraged to drive strategic decision-making.

Data Architecture Support

• Assist in the design and implementation of data architecture frameworks that support efficient data retrieval and storage including security such as row filter, object access and masking
• Ensure that data models and schemas are aligned with organizational goals and business requirements.
• Work with data engineers to optimize the flow of data between systems, ensuring consistency and accuracy across platforms.
• Design cloud-based/hybrid data lake architecture business and technical implementation strategies (e.g. Experience in multi-ecosystems Azure, AWS, Google Cloud Platform, SAP is desired)
• Serve as an integration expert data from various structured and unstructured sources (REST/SOAP/OData APIs, flat files, cross-platform databases, linked services, MCP Servers, etc.).

Data Stewardship

• Collaborate with business and technical teams to define and manage data definitions, data quality standards, and data classifications.
• Monitor and validate data quality, identifying discrepancies and recommending corrective actions.
• Participate/lead triage sessions to troubleshoot issues related to data ingestion, processing, or access.
• Maintain comprehensive documentation for data models, pipelines, policies, and infrastructure.
• Perform regular audits and ensure data quality, reliability, and consistency.

Data Governance

• Implement, develop and monitor data governance policies, including data access, data security, encryption, and role-based access controls in compliance with company and regulatory policies.
• Define metadata standards, data catalogs, and schema registries (ie. Ab Initio Minerva, Azure Data Catalog, Atlan, Looker Studio, etc.).
• Support the creation and maintenance of data catalogs, ensuring proper documentation and metadata management.
• Track, maintain and report on key performance indicators (KPIs) for data governance (including data lineage/provenance, history and quality), ensuring adherence to governance guidelines.
• Engage with data owners and stakeholders to promote data governance best practices across the business.

Collaboration & Communication

• Work closely with business leaders, data engineers, and data analysts to ensure alignment between data governance policies and business objectives.
• Provide technical guidance to data stewards, business analysts, and other stakeholders on data management best practices for data lake usage
• Mentors those in less senior positions
• Prepare reports and presentations on data governance, stewardship, and architecture activities for executive leadership.

Continuous Improvement

• Identify opportunities for process improvements related to data governance, stewardship, and architecture.
• Stay up to date with industry best practices and emerging trends in data management, architecture, and governance.

Knowledge, Skills, and Abilities

• Strong understanding of data governance principles, data quality metrics, and metadata management.
• Experience in data processing techniques to scrub, combine and manage data from relational and NoSQL sources
• Familiarity with data governance tools and principles.
• Proficiency with data querying and manipulation in a wide variety of relational databases (T-SQL, SparkSQL, ANSI)
• Experience with API development (REST API, ODATA, GraphQL, SOAP, gRPC) support data ingestions and triggers
• Proficiency in BI tools such as PowerBI, Looker Studio for dynamic dashboard development
• Experience with Data manipulation/preparation tools such as Power Query M, LookML/Lexp, DAX, PySpark
• Data engineering experience with pipeline authoring and monitoring across multiple platforms is a plus (Azure Data Factory, Apache Airflow, Cloud DataFusion, Microsoft Fabric)
• Demonstration of strong analytical, problem-solving, and critical-thinking skills to evaluate data and identify opportunities
• Understanding and experience in SAFe/Agile PM methodologies is a plus
• Experience with API interaction with Planview suite of tools (ie. Portfolios, AgilePlace, Viz etc.) and digital.ai Agility preferred
• Strong collaboration skills, translating business needs to analytic requirements and develop recommended approaches
• Ability to create clear communication artifacts, written and visual
• Detail-oriented with a passion for maintaining data integrity and accuracy
• Strong communication skills with the ability to influence and collaborate with diverse teams
• Proactive and self-driven, with a continuous improvement mindset

Minimum Education

Bachelor’s degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or finance.

Minimum Experience

Seven (7) years of experience in measurement and analysis, quantitative business problem-solving, operations analysis, marketing analysis, simulation development and/or predictive analytics.

Domicile Information

This position can be domiciled anywhere in the United States. The ability to work remotely within the United States may be available based on business need.

Preferred Qualifications:

Pay Transparency: This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. If this opportunity includes multiple job levels, the range is a reasonable estimate of the current starting salary for the lowest level to the current starting salary of the highest level. Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors permitted by law. An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.

Pay: U.S. Pay Range: $7,094.23/monthly-$15,607.31/monthly

Additional Details:

Pay Transparency:

The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations. If this opportunity includes multiple job levels, the pay information represents the ranges for each level in that job family. Actual pay is determined by several job-related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment. In California, the compensation listed reflects the range or rate of pay reasonably expected for this posted position upon hire.

For details on our comprehensive benefits, click

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Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.

Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact

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• Pay Transparency
• Family and Medical Leave Act (FMLA)
• Employee Polygraph Protection Act

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