Business Intelligence Analyst

Overview

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• Responsible for leading the design and support of enterprise wide business intelligence applications and architecture.
• Works with enterprise wide business and IT senior management to understand and prioritize data and information requirements. Solves complex technical problems.
• Optimizes the performance of enterprise business intelligence tools by defining data to filter and index that add value to the user.
• Creates testing methodology and criteria.
• Designs and coordinates a curriculum for coaching and training customers in the use of business intelligence tools to enhance business decision-making capability.
• Develops standards, policies and procedures for the form, structure and attributes of the business intelligence tools and systems.
• Develops data/information quality metrics. Researches new technology and develops business cases to support enterprise wide business intelligence solutions.
• This is an individual contributor role that requires the use of judgement in applying professional expertise and is expected to work independently with minimal supervision.
• Roles typically require a university degree or an extensive amount of practical knowledge gained through experience.
• Job requires an understanding and application of procedures and concepts of own discipline.
• The job requires attention to detail in making evaluative judgements based on the analysis of factual information.
• This job typically requires a degree or equivalent and a minimum of 2 or more years experience.
• Ability to manage individual tasks with some guidance and flag project risks as they are identified.
• Proficient in least one programming language central to Data Engineering (e.g. SQL/Python).
• Competent in object oriented programming and data structures. Proficient in optimizing workflows, pipelines, and processes.
• Proficient in cloud-based native tools such as data storage, distributed computing, business intelligence, and infrastructure as code (Power BI, Apache Spark, Azure, Databricks, AWS etc.) Proficient in ETL/ELT, pipeline creation, orchestration, & data store/warehouse/systems architecture.
• Familiar with DataOps, DevOps, and/or SecOps.
• Demonstrate financial acumen to develop financial impacts for existing projects and evaluating new opportunities.
• Experience with ERP system migrations or integrations