Data Insights Analyst

Role Overview• We are seeking a dynamic Insights Analyst who combines expertise in data analysis and data science with excellent communication skills to drive strategic business decisions. • The ideal candidate will transform data into actionable insights, working cross-functionally with senior business stakeholders to uncover opportunities and solve complex problems.Key Responsibilities:• To work with the Head of Insight to grow and mature and supercharge the business intelligence and reporting function within the business • Build intuitive and impactful dashboards using tools like Power BI, Tableau, or similar platforms. • Design advanced analytics solutions, including predictive models and machine learning algorithms, to forecast trends and customer behaviors. • Collaborate with cross-functional teams to align business strategies with data-driven solutions. This will include but not limited to Finance, Marketing and Sales. • Present complex data findings in a clear, impactful manner to both technical and non-technical audiences. • Educate business users to leverage self-service BI tools for exploratory analysis. • Work closely with data engineering team to ensure data quality/suitability and model scalability. • Conduct ad-hoc analysis to address immediate business challenges and opportunities. • Monitor key performance indicators (KPIs) and generate actionable insights from these metrics. • Create, support and mature a cohort or Data and Reporting Analysts within the business. To support training, upskilling and knowledge transfer within this community.Qualifications and Skills:• Education: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field. • Experience: 5 years' experience in data analysis or data science roles, preferably within a large complex business-focused environment. • Advanced proficiency in SQL for data extraction and analysis. • Expertise in BI tools such as Power BI, Tableau, or Looker, with the ability to design compelling dashboards. • Strong knowledge of machine learning, statistical analysis, and data modeling (Python, R, or equivalent tools). • Familiarity with cloud data warehouses like Redshift, BigQuery, or Snowflake. • Highly developed stakeholder management – preferably in an international environment. • Excellent communication and presentation skills, with the ability to distil technical details into strategic insights. The ideal candidate will be very comfortable delivering impactful presentations to senior management and the Board. • Proven ability to work independently and lead initiatives in a fast-paced environment. • Proactive and open mindset to identify and develop reporting needs that are currently unfulfilled within the business.Preferred Qualifications:• Experience with customer data platforms (CDPs) and advanced analytics in marketing or sales.