Data Insights and Analytics Lead

Purpose:  To develop a world class insights and analytics environment, establishing the function as a competitive advantage within the healthcare industry. To develop an insights and analytics business unit, passionate about identifying unmet needs, gaps and opportunities thereby prioritizing investment and maximising ROI. Work closely with leaders across R&D, sales, prescription, marketing, digital marketing and engineering teams to support and implement high-quality, data-driven decisions. Ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for the analytics team to follow. Use advanced data modelling, predictive modelling and analytical techniques to interpret key findings from company data and leverage these insights into strategies, tactics and initiatives that will drive business outcomes. The right person for the job will apply their exhaustive knowledge of data analysis to solving real-world problems in the healthcare industry and finding opportunities for improvement across multiple projects, teams and business units. Develop and nurture a data driven culture across the organisation with the establishment, maintenance and enhancement of a self-service reporting structure, democratising data and analytics skills. Duties and responsibilities:  Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions Design and build technical processes to address business issues Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics Recruit, train, develop and supervise analyst-level team members Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables Examine, interpret and report results of analytical initiatives to stakeholders in leadership, R&D, sales, prescription, marketing, digital marketing and engineering Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc. Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements are met Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company Qualifications and experience:  Bachelors degree in Business Science/Data Science/Data Analytics/Mathematics and/or Applied Mathematics/Engineering/Computer Science 5 years experience in a position monitoring, managing, manipulating and drawing insights from data, and someone with at least 3 years experience leading a team. 5 years working with BI tools Must have experience in data science, statistical analytics and experience in understanding the business requirements and customer journey Experience using analytics techniques to deduce insights which contribute to company growth efforts, increasing revenue and other key business outcomes. Working knowledge of data mining principles: mapping, collecting data from multiple data systems on premises and cloud-based data sources Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries Experience and knowledge of data science and statistical modelling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, predictive analytics, attribution modelling etc. Experience working with and creating dashboards and reports using all relevant data to inform decisions The right candidate will also be proficient and experienced in the following areas and working with the outlined tools & programs: Deep insight into consumer behaviour Experienced in mapping customer journeys Experienced in leveraging insight from digital marketing analytics Expert capabilities utilising MS Power BI and associated DAX capability Working knowledge of Python Experience with testing tools e.g. Adobe Analytics Presentation and Communication skills Verbal business requirements elicitation Project Management Customer journey development, assessment and influence Advantageous Dealing with Pharmaceutical datasets (IQVIA Impact Rx and OTC, Total Private Market (TPM), Single Source Data (SSD), Repwise, Veeva CRM etc.) Data Processing Data Transformation Dimensional Modelling