Data Analyst - Sales at Tropical Heat

Key Responsibilities 

• Design/Improve and run procedures to consolidate business and product performance data from several sources, and report on business and product KPIs as well as forecast sales and capability needs.
• Acquire data from primary or secondary data sources. Keeping in contact with Key Accounts Manager, Sales Coordinator, Sales Administrator, Sales-Team leader, Sales Representatives in person and by phone on sales targets.
• Supporting Sales team to meet sales targets
• Advising sales team about targets scheduled.
• Developing KPI scorecard to drive revenue.
• Monthly running of business KPIs in a report. Implementing initiatives, track usage & revenue through tracker, plan corrective action and ensure implementation of corrective plans
• Champion and give reports via CRM
• Drive Integration of systems & customer data base in CRM to reduce manual intervention and help in getting single view of customer.
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Interface with sales on making business cases. Review performance and provide feedback for achieving sales target
• Positively influence cross functional team to work together for achieving business results and ensuring that their business pains are addressed
• Giving feedback on sales trends.
• To present all the report in MRM / BSC meeting and where required

Qualifications:

• Bachelor’s degree in Statistics, Mathematics, Administration or a quantitative field
• 2-3 years of experience on this position and field. 
• Experience in performing exploratory, quantitative analysis with Ms Office and ERP system.
• Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
• Experience with CRM system.
• Knowledge of statistical methods and forecasting.
• Proficiency in acquiring, organizing, cleansing and manipulating large data.
• Ability to simplify complex analytics into recommendations that are easily understood and executable.
• Ability to strategically influence stakeholders and partners.
• Demonstrated problem-solving and decision-making skills.
• Ability to adapt to a rapidly changing business environment and manage multiple priorities.