Senior Data Analyst

• Ensure that the people analytics strategy is closely aligned with the overall business objectives.
• Gather and integrate data from various sources such as HR systems, employee surveys, and performance metrics.
• Identify key performance indicators (KPIs) that are relevant to the organisation's goals.
• Use historical data to predict future trends and outcomes
• Translate data insights into actionable recommendations that help stakeholders implement strategies to improve workforce outcomes.
• Developing storytelling techniques to engage and inspire end users to act
• Serve as a subject matter expert on data, insights and trends

• Partner with HR, business leaders, and cross-functional teams to understand their data and insight needs and deliver data-driven solutions.
• Work closely with the senior employee engagement manager to define data led employee engagement initiatives and strategies
• Present findings and recommendations in a clear, concise manner that resonates with both technical and non-technical audiences.
• Act as a trusted advisor on how to use data to drive workforce strategies and decisions.

• Define and monitor key performance indicators (KPIs) related to workforce performance, engagement, and productivity.
• Establish benchmarks and track progress against workforce goals and industry standards.
• Continuously enhance metrics and reporting frameworks to reflect evolving business needs.

• Analyse workforce data to uncover trends, patterns, and insights that inform HR and organisational strategies.
• Perform root cause analyses to address workforce challenges, such as turnover, absenteeism, or engagement.
• Develop and deliver dashboards, reports, and presentations that provide clear, actionable insights for HR leaders and stakeholders.

• Build predictive models to forecast workforce trends and help anticipate challenges in areas like turnover, hiring, and talent mobility.
• Leverage advanced analytics techniques, such as regression analysis, clustering, and machine learning, to solve complex people-related questions.
• Continuously refine models based on feedback and evolving organisational needs.

• Craft a compelling storyline that guides the audience through the data, providing context and highlighting key insights.
• Craft insights that amplify that value of data, insights and foster a culture of data centric decisions
• Ensure the data is accurate, relevant, and well-understood.

High-quality data forms the foundation of your story.

• Use impactful visual elements like charts, graphs, and diagrams to make the data more accessible and engaging.
• Tailor the delivery of your data story to meet the needs and understanding level of your audience.
• Focus on insights that drive action and decision-making, making the story not just informative but also practical.

• Ensure the accuracy, integrity, and security of people data by adhering to best practices in data management and governance.
• Partner with IT and HR teams to enhance data collection processes and ensure seamless integration across systems.
• Identify and resolve inconsistencies or gaps in data sources.

• Leverage HRIS, people analytics platforms, and business intelligence tools (e.g., Tableau, Power BI, SQL, Python) to perform data analysis and visualisation

• Degree in Data Science, Statistics, Economics, Business Analytics, or a related field.
• 5+ years of experience in data analytics, with at least 2 years focused on people or workforce analytics.
• Proficiency in analytics tools such as Tableau, Power BI, or similar visualization software.
• Advanced skills in statistical analysis and programming languages such as SQL, Python, or R.
• Strong understanding of HR processes and metrics (e.g., turnover, engagement, diversity, and inclusion).
• Experience with HR systems (e.g., Workday, SAP Success Factors) and data integration is a plus.
• Proven ability to translate complex data into clear, actionable insights for a diverse range of stakeholders.
• Analytical Mindset :
  Strong problem-solving skills with a…