Data Analyst

Job description

We’re excited about the future, and we’d love you to be part of it. If you're passionate about shaping what comes next and making a meaningful impact, we’d be delighted to have you explore this role with us. We’re proud to offer a vibrant employee experience that fosters growth, collaboration, and opportunities across our diverse operations, creating an environment where you can thrive. Join our team and let’s grow together! Join our team and become a part of a continuously expanding and financially sound multinational conglomerate—Goddard Enterprises Limited (GEL). The Services Division of GEL is committed to our mission of being successful and responsible while satisfying our customers, employees, partners, and shareholders. Our dedicated teams share our values of innovation, continuous improvement, and service excellence. We believe in providing our employees with opportunities for growth and development, to help them reach their full potential, in an environment where everyone can thrive. We are looking for a talented individual who shares our values to join our team as Data Analyst . This position reports to the Divisional General Manager. Job Purpose The Data Analyst is responsible for collecting, analyzing, interpreting, and presenting business data to provide actionable insights that support informed decision-making and improve business performance across the GEL Services Division. The role will primarily support the Division’s retail businesses and shared service functions by analyzing operational, financial, customer, workforce, and other business data to identify trends, opportunities, risks, and areas for improvement. The Data Analyst will develop and maintain meaningful reports, dashboards, KPIs, and other analytical tools, and work collaboratively with business leaders and functional teams to translate data into practical recommendations that improve performance, efficiency, profitability, customer experience, and service delivery. The role requires strong analytical and business acumen, attention to detail, and the ability to communicate complex information clearly and effectively to both technical and non-technical stakeholders. Knowledge & Technical Competencies The successful candidate should demonstrate: Advanced data analysis and interpretation skills , with the ability to identify trends, patterns, relationships, variances, and business drivers within complex datasets. Advanced proficiency in Microsoft Excel , including complex formulas, pivot tables, lookups, data modelling, data validation, and data visualization. Proficiency in business intelligence and data visualization tools , preferably Power BI, with the ability to develop interactive dashboards and management reports. Data cleaning, preparation and management skills , including data extraction, cleansing, transformation, validation, reconciliation, and quality assurance. Knowledge of SQL or other data querying tools and the ability to retrieve and manipulate data from databases and multiple business systems. Experience working with ERP, POS, HRIS, CRM, financial, retail , and/or operational systems and integrating data from multiple sources. KPI and performance measurement capability , including the ability to develop meaningful metrics aligned with business objectives. Report automation and process improvement skills , with the ability to identify opportunities to reduce manual reporting and improve the efficiency and consistency of information delivery. Data visualization and presentation skills , with the ability to present complex information in a clear, concise, and commercially meaningful manner. Strong business and financial acumen , including an understanding of revenue, costs, profitability, productivity, budgets, targets, and operational performance. Strong analytical problem-solving and critical-thinking skills , with the ability to investigate the underlying causes of business issues rather than simply report results. Ability to translate data into actionable business recommendations and communicate the implications of analysis to non-technical stakeholders. Strong stakeholder management and collaboration skills , with the ability to work effectively with leaders and teams across different businesses and functions. Strong attention to detail and commitment to data accuracy , integrity, confidentiality, and reliability. Qualifications & Experience Essential Bachelor's degree in Data Analytics, Business Analytics, Statistics, Mathematics, Economics, Information Systems, Computer Science, Finance, Business Administration, or a related discipline. 2–4 years' experience in data analysis, business intelligence, reporting, or a related analytical role. Strong proficiency in Microsoft Excel, including advanced formulas, pivot tables, data analysis, and visualization. Experience developing management reports, dashboards, and performance metrics. Strong analytical and problem-solving capabilities. Experience working with multiple data sources and large datasets. Desirable Experience with Power BI or another business intelligence/data visualization platform. Experience using SQL or other data querying tools. Experience with ERP, POS, HRIS, CRM, or other business systems. Experience working within a retail, distribution, logistics, financial, or shared-services environment. Certification or formal training in data analytics, Power BI, SQL, or business intelligence. Benefits: An attractive remuneration and benefits package is being offered commensurate with the candidates’ experience.