TECHNICAL DATA ANALYST

Location: Beaverton, Oregon
Job Type: Contract
Compensation Range: $60 - 62 per hour

We are looking for a Technical Data Analyst to partner with product management, data engineering, and architecture teams to design scalable, reusable, and accessible data architectures. This role involves defining data sources, KPIs, and business rules, optimizing data designs, and ensuring data meets business requirements. You will work closely with cross-functional teams to reduce redundancies, ensure data consistency, and support reporting and governance efforts. Strong analytical and collaborative skills are key to success in this position.

Responsibilities:

• Partner with product management, data engineering, and data architecture to help design and build high level data architectures that are organized in a strategic fasion that supports scalability, re-usability, and end user accessibility.
• Work with product teams to define data sources by partnering with information and enterprise architecture.
• Work with product teams to define Key Performance Indicators and supporting data attributes and business rules.
• Work with product teams to ensure data meets business requirements.
• Optimize data designs and rationalize data objects across data products to reduce data redundancies and duplication.
• Analyze existing data stores and interfaces to support current state and future state data architectures.
• Analyze and profile data to identify anomalies and ensure satisfaction of business requirements.
• Create Source to Target mappings for new data sets.
• Partner with enterprise data management and strategy on business glossary implementation and governance and stewardship.
• Work with report developers to align dataset design with report design.
• Partner with information architecture to provide feedback on conceptual models and review logical and physical data models.
• Partner with information architecture on naming standards.
• Provide data consistency across multiple scrum teams within a capability.
• Facilitate data requirements elicitation and modeling sessions including use of interview, document analysis, workshops etc.
• Participate in data definition and data management reviews.
• Partner with source system on new initatives and enhancements.

Qualifications:

• Bachelor's degree in Business, Computer Science or equivalent.
• 5 years of experience working in technology, preferably in BI and Analytics.
• 5 years of experience in data analysis, business analysis or system analysis.
• Strong knowledge of relational and dimensional data modeling concepts.
• Strong knowledge of data architecture and database structure.
• Strong data analysis skills.
• Strong SQL skills.
• Experience with big data and cloud with Databricks & Snowflake is preferred.
• Experience, interest and adaptability to working in an Agile delivery environment.
• Ability to work in a fast paced environment where change is a constant.
• Ability to handle ambiguous requirements.
• Exceptional interpersonal and communication skills (written and verbal).
• Self-motivated and collaborative.

Job ID: 1077827
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Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Cella, a randstad digital company, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Cella by randstad digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

This posting is open for thirty (30) days.