Role & responsibilities The role of Senior Analytics Consultant / Lead is positioned within both the onshore and offshore Analytics teams, with a primary focus on developing, coaching, training plan development and mentoring delivery team to uplift and enhance their capabilities in Data Visualization, Business Intelligence (BI), and data analytics (python, sol, tableau). This role emphasizes to uplift Data Analytics delivery teams capability and competencies, while also applying strong insurance domain knowledge to uncover actionable insights, support strategic business decisions, and identify new opportunities for value creation. Direct, manage, coach, and mentor large Advanced Analytics teams owning capability uplift, client delivery and team growth accountabilities using consulting mind set. Service delivery, Training, business consulting, transformation, building proposal & competency uplift Experience within Insurance services industry essential. Confident in leading large scale data projects, working in product teams. Highly experienced in-Analytics team development and service delivery, coaching / mentoring, capability uplift, Training plan development, solving business problem and Data Lead Tech solutions. Managing diverse cross functional teams with a strong commercial mindset. Strengthening an organization's ability. Enhancing people, processes, tools, governance, and culture to make the organization more data driven. Align D&A efforts with business strategy and goals. Develop a D&A roadmap aligned to business outcomes. Establishing a D&A community of practice or center of excellence (CoE). Have experience in delivering transformation projects - Establish cross-functional teams (business + data). Interpret big data to identify and analyse emerging trends and produce appropriate business insights which monitors the performance of the Portfolios and to continuously drive an improvement in business results. Develop advance business performance & Data Analytics training plans to assist the Senior Specialists, Portfolio Managers, business stakeholders (including but not limited to Portfolio, Customer & Marketing functions) & wider Commercial team members to make required data-based recommendations, implement and monitor them accurately for overall capability upliftment in squads Develop statistical models to predict business performance and customer behavior. Research customer behaviors and attitudes leading to in depth knowledge and understanding of differences in customer level profitability. Promote innovation through improving current processes and developing new analytical methods and factors. Identify, investigate and introduce additional rating factors with the objective of improving product risk and location selection to maximize profit. Provide consulting advice and solution to solve the Business clients hardest pain points and realize biggest business opportunities through advanced use of data and algorithms. Can work on projects across functions based on needs of the business. Actively add value by lifting the Business capability of process automation. Build, enhance and maintain quality relationships with all internal and external customers. Adopt a customer focus in the delivery of internal/external services. Build positive stakeholder relationships to foster a productive environment and open communication channels. Bring new Data Analytics thinking to the group by staying on top of latest developments, industry meet-ups etc. Preferred candidate profile
