
British Council
People Data Analyst (Dashboard Manager)
Lagos, Abuja • Nigeria
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Profession (Education, academic, Mid-level)
Industry (Mid-level)
Aeronautics,Banking, microfinance, insurance,Communications, media, radio, tv,Computers, software development and services,Consulting, business support, auditing,Education, academic,Energy, utilities, environment,Finance & FinTech,Financial Services,Fitness, well-being and lifestyle,Health care, medical,Human resources, talent development, recruiting,Manufacturing,Non-profit, social work,Raw materials, oil, chemicals,Restaurant, hospitality, travel,Telecommunications,Transportation, logistics, storage,
Seniority (Education, academic)
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British Council
Education + 1 more
Description
Requirements Of The Role:
- University degree in Maths, IT or computer science or related subject.
- Written and verbal proficiency in English
- Minimum two years’ experience of creating insightful dashboards from HR datasets, forecasting trends in HR data and developing solutions to present data to identify potential business value.
- Advanced user of Power BI, Power Query, Excel, Power Automate and Power Apps
- Experience with SuccessFactors and HR ticketing/case management systems
Responsibilities
Power BI Dashboard Development
- Designing custom dashboards from inside Azure and sourcing data from multiple sources and locations
- Use DAX to increase customisation of dashboards to meet specific user needs
- Adhere to the three-tier product development process and ensure all products meet people and insight team standards
- Ensure all power platform administration and governance standards are met
Product Improvement
- Conducts analyses of people-related data to identify trends, patterns, and opportunities based on understanding of HR and business needs.
- Tracks and measures performance against business goals and KPIs and links dashboards and products to those KPIS.
- Collaborates with HR business partners and other stakeholders to identify business problems and provide data-driven solutions
- Identifies and implement process improvements to enhance data quality and streamline data collection and analysis processes
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