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Business Intelligence Analyst

Key Responsibilities

• Support the core business functions (including Corporate Finance, and Executive teams) by creating datasets, metrics, reports, visualisations for presentations, models, forecasts, automation scripts and documentation using SQL, Excel, VBA and R or python. Analyse, evaluate and form independent judgments on the outputs. Work with a wide variety of data from different sources - internal and external, structured and unstructured.
• Understand stakeholder teams' data / analytics requirements and work with the Data Engineering team and dev team as needed to deliver the required outputs, owning the process end-to-end from data source identification to delivery and provide ongoing support for the output datasets and reports.
• Work together with other data team members to ensure consistency in metrics definitions, implementation of analysis best practices and efficient use of data pipelines.
• Design and implement data- and model validation processes for the outputs, requesting reviews and approvals from technical specialists such as BI analysts and/or Data Scientists as well as relevant business experts.
• Design and implement processes to ensure outputs are continually supported and maintained.
• Create clear and detailed documentation on the deliverables.
• Manage timelines to meet deadlines and communicate progress to relevant stakeholders in a timely manner.
• Advise stakeholders on use of data tools and analysis / visualisation methodologies. Contribute to the Data Science, Business Intelligence and Data Engineering community through sharing knowledge and mentoring.

Requirements

• A Bachelor’s degree in a quantitative subject or equivalent experience.
• Substantial professional experience in an analytical role.
• Proficient to advanced skills with SQL, VBA, R or python and MS Office (Excel, PowerPoint, Word, Outlook)
• Highly organised with exceptional attention to detail and follow-through
• Strong ability to manage multiple projects with competing deadlines
• Strong communication skills (written and verbal)
• Ability to work in a fast-paced environment
• Ability to self-direct, analyse and evaluate and form independent judgments
• Ability to effectively interact and build relationships with senior management and stakeholders
• Commercially savvy with ability to exercise discretion with respect to highly confidential/sensitive information
• Integrity, ethical standards and sound judgement

Preferred qualifications

• Foundational knowledge of business finance concepts.
• Foundational knowledge of mobile gaming and ad-tech businesses.
• Experience building dashboards in a tool such as Power BI, Looker, Tableau.
• Professional experience in a quantitative role in finance, consulting, actuarial or banking.

Benefits

• Competitive Salary plus options
• Yearly CPD allowance for learning and development materials, courses, and seminars
• Health insurance, Dental, Life, and Critical Illness cover
• Subsidised gym membership and cycle to work scheme
• Regular perks such as cocktail parties, game nights and company events