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BI Developer

Requirements and responsibilities

PPRIMARY RESPONSIBILITIES:


  • Act as an expert in the stabilisation of business intelligence operations and reports, with a focus on Sigma BI and Snowflake environments
  • Manage and support a team of specialists from various fields (business intelligence analysts and ETL/BI developers)
  • Proactive communicator with leaders in the organisation and able to prevent and manage crises linked to data quality and report production delays
  • Design and implement tactical processes to secure the production of timely and accurate reports within Sigma BI and Snowflake-based pipelines
  • Maintain and improve report delivery through difficult data challenges and provide feedback on the work of others
  • Promote business intelligence and data management best practices, leveraging Sigma BI and Snowflake capabilities across the company
  • Provide hands-on coaching and oversight on all aspects of BI report delivery: appraisal, design, management, deployment, delivery and more
  • Work directly with stakeholders to address their BAU needs using Sigma BI as the primary reporting layer over a Snowflake data platform
  • Ensure the development of key resources to migrate to and scale within the Snowflake and Sigma BI ecosystem

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QUALIFICATIONS:


  • A university degree in business intelligence, data science or other relevant training
  • Over 4 years of experience in BI Ops, improvement and maintenance of BI reports
  • Primary expertise in Sigma BI for report development, dashboard design and self-service analytics delivery
  • Deep hands-on experience with Snowflake, including data modeling, warehouse management, query optimization and cost governance
  • Technical proficiency in SQL (including Snowflake SQL dialect), and working knowledge of DAX and API integrations
  • Excellent understanding of data warehousing environments and ELT techniques, particularly within the Snowflake ecosystem
  • Knowledge of cloud and hybrid cloud implementations, including IaaS, PaaS and SaaS
  • Familiarity with complementary modern data stack tools (e.g. dbt, Fivetran, Azure Data Factory, Power BI) considered an asset
  • Excellent analytical and reasoning skills resulting in clear, robust and flexible architectures
  • Ability to proactively manage senior stakeholders
  • Encourage outreach to others through collaboration, examples and mentoring
  • Exceptional communication skills with both technical and non-technical stakeholders

ills with both technical and non-technical stakeholders.

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