Wizeline is a global digital services company helping mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services. We thrive in solving our customer’s challenges through human-centered experiences, digital core modernization, and intelligence everywhere (AI/ML and data). We help them succeed in building digital capabilities that bring technology to the core of their business.
Your Day-to-DayIMPORTANT: This position is based in Beaverton, Oregon, and requires office attendance.
- Partner with information architecture to build logical/canonical, dimensional and physical data models for Databricks, Snowflake and Hive bigdata implementations to support data, BI Analytics and AI/ML products aligned with conceptual data models
- 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 data models
- Work with engineering squads to create physical data designs and business rule implementation
- 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.
- Provide guidance and partner with squads by applying knowledge of data design
- Assist with the development and enforcement of data modeling standards
- Participate in data definition and data management reviews
- Partner with source system on new initiatives and enhancements
- Interface with transformational initiatives
- Partner with engineering and information architect on integrated/aggregated layer guidelines
- Establish and maintain processes to support and grow data modelling practices
Sounds awesome, right? Now, let’s make sure you’re a good fit for the role.
Must-have Skills- Bachelor's degree in Business, Computer Science or equivalent
- 7+ years of experience working in technology, preferably in BI and Analytics
- 5 years' experience in Data Modelling and design
- 5 years of experience in data analysis, business analysis or system analysis
- Experience using CA Erwin or Hackolade other similar modelling tool
- Strong knowledge of relational and dimensional data modelling 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
Wizeline prioritizes a culture of diversity and development for its nearly 2,000 person team spread across the globe. We believe great technology comes from a mix of talents and perspectives. Our core values of ownership, innovation, community, and inclusivity are central to our work. Wizeline is invested in its employees' growth, offering opportunities to create personalized career paths and develop in-demand skills. We even have a free education program, Wizeline Academy, to help both employees and the broader community upskill in tech.
Apply now!
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What We Do
Wizeline, a global technology services provider, builds the best digital products and platforms at scale. We focus on measurable outcomes, partnering with our customers to modernize core technologies, mature data-driven capabilities, and improve user experience.
