Senior BI and Data Product Analyst

Key Responsibilities

• Build strong stakeholder relationships in order to understand business challenges and collaboratively define and document precise business requirements for specific projects.
• Provide leadership and independent initiatives in facilitating information gathering, structured documentation and presentation of findings to all levels of the business.
• Design, develop, model, and create data structures to integrate, prepare, and generate reports.
• Develop and build dashboards and visualizations in Sisense or similar BI tools.
• Work with the Business to ensure they can utilize the output of your projects to enable data driven decisions.
• Breakdown requirements, simplify architectures, and collaborate with other business teams to deliver intelligent data solutions in line with defined objectives and results.
• Liaise with internal and external clients to fully understand data content.
• Identify performance, visualization and reporting challenges, and suggest code and architectures improvements.
• Prepare reports for internal and external audiences using business analytics reporting tools.
• Mine and analyze large datasets, draw valid inferences and present them successfully to the business.
• Produce and track key performance indicators.

Skills & Experience

• 5+ years of experience in a data/analytics role.
• Good knowledge of SQL is a must, particularly TSQL.
• Good command of BI tools such as Sisense.
• Data Warehouse experience.
• Data Modelling experience advantageous.
• Basic knowledge of ETL tools including SSIS and FiveTran.
• Experience with programming languages (Python, R, JavaScript).
• Very good command of Excel.
• Strong problem-solving abilities involving identifying the root cause of problems, assessing risks/impacts and determining and implementing effective solutions.
• Strong presentation skills and an ability to communicate complex findings to non-technical audiences in a clear, simple way, both written and verbally.
• Analytical aptitude and interest in interrogating data to develop hypotheses and insights.
• Mathematics, statistics or economics are preferable.
• Excellent attention to detail and high standards of presentation, especially in relation to written work.
• Ability to manage multiple projects to completion.
• Proactive and forward thinking.
• Must work well in a team environment.
• Ability to contribute both independently and as part of a team.