Business Intelligence Manager

Hybrid working: 2 days in the office/week.
Client is in the healthcare space.
Apart from technical experience below, project management and people management experience is valued for this role.

Essential duties and responsibilities

• Develop and implement business intelligence processes that align with strategic objectives
• Perform analyses on organisational processes and present results
• Design data architectures and develop strategies for the implementation of solutions that align with business requirements
• Coordinate teams and activities to ensure efficient implementation of projects
• Ensure test plans are developed and executed in line with project requirements
• Manage multiple projects in parallel from conception to delivery, ensuring project objectives are satisfied
• Prepare project updates for a variety of audiences, tailoring accordingly
• Manage and customise ETL processes as per customer requirements
• Analyse complex datasets, identifying opportunities for business enhancement
• Supervise employees to ensure team performance is maximised
• Conduct assessments of reporting requirements and develop long-term strategies for reporting solutions when required
• Translate strategies into operational plans according to business priorities and budgets
• Liaise with data generators to ensure compliance of enterprise data model with pertinent data related standards
• Provide support to business teams, proactively seeking value adding opportunities
• Work between business and resource teams to prepare appropriate schedules
• Monitor work of junior team members to ensure effective project implementation; and
• Manage data from transactional sources and prepare effective reports.

Required skills/attributes

• 5+ years of relevant work experience in Data or similar role
• Minimum 2 “years” recent experience with Microsoft Power BI development
• A Bachelor or Master’s Degree in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Economics, Statistics, Analytics, Management/Business Information Systems (or related degree));
• Experience in developing self-service dashboards and reports
• Ability to clean, transform and integrate data sources using M code in the Power BI Query Editor
• Experience in designing data models for performance
• Ability to design complex calculations in DAX which are accurate, clear and performant on large datasets and in a variety of contexts
• Ability to implement row level security
• Experience configuring gateways and scheduling auto-refresh of reports;
• Knowledge of and experience in implementing data visualisation best practice
• Experience in leading cross-functional teams and delivering multiple projects in parallel with competing deadlines
• Proficiency with project management methodologies and techniques
• Strong experience with the development lifecycle of data reports and dashboards
• Proven ability to manage and delegate tasks to junior staff
• Ability to work in challenging and complex scenarios with competing requirements and multiple stakeholders
• Excellent written and verbal communication skills, and the ability to explain technical analysis to a non-technical audience
• Ability to lead workshops with non-technical clients, gathering requirements and translating them into scoping documents
• Experience with strategy development and operational implementation
• Experience in solving business problems and delivering insights
• Strong interpersonal skills, self-motivated with a growth mind-set
• Ability to write procedures and conduct training; and
• Ability to engage with key stakeholders and relay information in a way that is easy to understand and provides commercial (not just process orientated) insights.

Desirable skills/attributes

• Microsoft Power BI Data Analyst Associate Certification
• Project Management Certification (Agile, PMP, PRINCE2 or similar)
• Programme / Portfolio management experience
• Experience in data science including predictive analysis
• Experience in the following industry sectors will be of specific interest: energy/utilities, life sciences and healthcare
• Azure Modern Data Platform and SQL Server Reporting Services knowledge is an advantage
• SharePoint Designer
• Power Apps, Power automate and related MS tools and software; and
• R, Python

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