People Analytics Lead

Minimum Requirements

• A bachelor’s degree in a relevant field such as Information Technology, Mathematics, Economics, Statistics, Engineering, Computer Science, Data Science, or a related discipline.
• A proven track record spanning 7-10 years in leadership roles, overseeing teams that handle a range of priorities.
• Extensive expertise, with 7-10 years of experience in statistical analysis, data modeling, predictive analytics, and data visualization techniques.
• Proficiency of 3-5 years in utilizing advanced analytics tools and programming languages (e.g., R, Python, SQL) alongside data visualization tools (e.g., Power BI).
• 3-5 years of practical experience in applying statistical methods and machine learning techniques to tackle complex business problems.
• A solid background in people analytics, HR analytics, and workforce planning within the financial services industry would be highly advantageous.
• A track record that demonstrates the successful delivery of strategic business analytics solutions and capabilities.
• Proven ability to translate data findings into actionable insights and provide strategic recommendations to key stakeholders.
• Strong expertise in developing and implementing Artificial Intelligence solutions and techniques.
• Proficiency in framing business problems that lend themselves to statistical modeling.

Main Responsibilities

• Lead the development and execution of a comprehensive people analytics strategy, closely aligned with organizational goals and the broader people strategy.
• Craft data-driven solutions tailored to specific business processes, designed for measurement and in-depth analysis.
• Offer strategic insights, recommendations, and data-driven solutions to executive stakeholders, harnessing the power of data analysis, predictive modeling, and forecasting.
• Drive the development of advanced analytics, automated reporting, dashboards, data visualization, and compelling communication to enable data-centric decision-making.
• Collaborate with business stakeholders to identify issues and opportunities amenable to statistical modeling or machine learning solutions.
• Provide forward-thinking leadership on emerging trends and innovative practices in people analytics and data analysis.
• Oversee the architecture of the data management platform to ensure optimal data handling, delivery, and performance.
• Gather business requirements and pinpoint opportunities for functional enhancements, data enrichment, and process improvements.
• Develop data models to underpin predictive and descriptive analysis.
• Guarantee the accuracy, reliability, and timeliness of data analytics and reports presented to the business.
• Take charge of data integrity and cleansing activities, with a focus on improving data quality and comprehensiveness.
• Formulate meaningful business scenarios with a direct impact on critical processes and decisions.
• Expand and enhance code to implement statistical models, machine learning algorithms, and data mining techniques efficiently, especially for large datasets.
• Interpret results and transform findings into actionable insights.
• Spearhead the definition and governance of vital business metrics, automate dashboards, and promote self-service analytic capabilities.
• Manage the development and ongoing refinement of the data governance framework and standards, aligning them with Group and Legislative requirements.

Key Competencies

• Demonstrated strategic thinking and a deep understanding of HR practices.
• Strong project management skills.
• Solid business acumen, with an in-depth grasp of industry dynamics, market trends, and HR-related challenges.
• Proficiency in data analysis and the development and implementation of machine learning algorithms.
• Expertise in data modeling and visualization.
• Competence in market research.
• Familiarity with Agile principles and methodologies.
• Skills in financial analysis and budget planning.
• Strong leadership and people management capabilities.
• Effective communication and presentation skills.
• Exceptional critical thinking and problem-solving abilities.
• Proficient negotiation and influencing skills.
• Effective collaboration and interpersonal skills.
• Numeric proficiency and meticulous attention to detail.

Salt is acting as an Employment Agency in relation to this vacancy.