Junior Data Analyst

• Analyze sales data to identify trends, patterns, and anomalies.
• Monitor seasonality effects on sales and develop strategies to capitalize on seasonal trends.
• Collaborate with cross-functional teams to understand business objectives and develop data-driven solutions.
• Prepare comprehensive reports and presentations to communicate findings and recommendations to stakeholders.
• Utilize advanced Excel techniques, including pivot tables, data visualization, and statistical analysis, to manipulate and analyse large datasets.
• Develop and maintain automated reports and dashboards using Excel and other tools.
• Assist in the implementation and optimization of Power BI tools for data visualization and analysis.
• Conduct ad-hoc analysis as required to support business needs.
• Clean and prepare data for analysis, ensuring accuracy and consistency.
• Build predictive models using statistical techniques and machine learning algorithms to forecast future trends and optimize business processes.
• Design and analyse A/B tests and experiments to evaluate the effectiveness of marketing campaigns, product features, or website designs.
• Segment customers based on demographic, behavioural, or transactional data to personalize marketing efforts and maximize customer satisfaction and retention.
• Track key performance indicators (KPIs) and metrics to assess the performance of various business initiatives, departments, or products.
• Conduct market research and competitive analysis to understand industry trends, market dynamics, and competitor strategies.
• Create visually engaging charts, graphs, and interactive dashboards to communicate insights effectively and tell compelling stories with data.
• Ensure compliance with data governance policies and regulations by adhering to data privacy standards, maintaining data integrity, and implementing security measures to protect sensitive information.

• Bachelor's degree in a relevant field such as Statistics, Mathematics, Economics, Computer Science, or equivalent experience.
• Strong analytical skills with the ability to interpret data and draw meaningful conclusions.
• Proficiency in Excel, including advanced functions such as VLOOKUP, SUMIFS, and PivotTables.
• Experience with Power BI or other data visualization tools is considered an asset.
• Excellent communication and presentation skills, with the ability to translate complex data into actionable insights.
• Detail-oriented with strong organizational and problem-solving skills.
• Ability to work independently and collaboratively in a fast-paced environment.

• Maypole uses a formal hiring procedure run by its own internal HR department and does not use the services of recruitment agencies, therefore if in doubt please contact us on careers@maypole.com.mt

Maypole