Job description

Job Details

What You Will Do

The Business Data Analyst is a strategic problem solver with strong business acumen, who plays a pivotal role in providing the principles, policies, architecture, and governance to enable consistent, trusted, and usable data to drive accurate data-driven business outcomes and deliver on a multi-year roadmap to establish the foundation of integrated analytics. Your excellent communication skills will engage, influence, and encourage partners and stakeholders to drive collaboration and alignment; inspiring, motivating, and developing high performing colleagues, collaborating to ensure our data supports product’s long-term goals of scalability, extendibility, and flexibility.

Job Responsibilities

With approval from the project leadership team, coordinates with technical resources (such as the technical architect) and carries out the following:
  • Design and implement models, policies, and practices that support the optimization of data assets for operational, analytical, and strategic use
  • Facilitate the standard inclusion of embedded data governance functions in applications, enabling end users to be self-sufficient in understanding the data and actively engaged in data management practices
  • Train others on data analysis, data modeling and data governance; mentor team members with less experience
  • Design and implement policies and practices that drive data consistency, data accuracy, and data transparency for technical systems and end users
  • Design, review, and create Kimball data models for data products and business intelligence reporting systems like Power BI
  • Design and produce ETL to populate dimensional structures
  • Facilitating data discovery sessions involving business subject matter experts
  • Introduce, recommend, and ensure standard practices are followed for naming, designing, logging, monitoring, and alerting data environments and transactions
  • Work closely with product owners to understand and refine feature requests.
  • Work closely with project team to design, review, and develop new data structures and pipelines
  • Communicate technical ideas in terms product owners and non-technical users can understand

What we look for
  • 5-6 years of work experience in data analysis
  • 3 years experience writing advanced SQL, ETL
  • 5+ years of BI/DW and dimensional data modeling experience
  • Knowledge of Data Warehousing, ETL and BI architectures, concepts, and frameworks
  • Knowledge of Kimball and Inmon approaches and the core differences
  • Knowledge of RDBMS platforms with experience in generating DDL
  • Experience in normalized data modeling principles/methods including conceptual, logical & physical Data Models; and interpreting normalized designed into dimensional designs

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