Data Analyst - Sales

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.