Commercial Analyst responsible for accelerating growth through data analysis and reporting at PayJoy. Collaborating with sales and operations teams for business optimization in Indonesia.
Responsibilities
Build and analyze sales performance data to present data-driven reports and recommendations that guide the decision-making and actions of the sales team, using graphics, visualizations, and other effective means to communicate findings clearly and concisely;
Conduct in-depth market research and competitive analysis to identify trends, opportunities, and threats;
Filter and analyze data in a consistent and scalable way, working with a large volume of data to build a solid foundation for decision making with calculated risks - even knowing that not all the answers are in the data and/or that not all the data you would like is available;
Collect information to find improvement opportunities, including monitoring the impact of training;
Make recommendations on how to improve results based on data analysis and a deep understanding of how our product and processes work;
Measure the performance of internal sales areas (KPI's, KBI's, KKI's and KSI's);
Analyze marketing campaign performance, including website traffic, lead generation, customer acquisition costs, and customer engagement;
Analyze the effectiveness of sales enablement programs, sales promotions, and incentives;
Manage multiple requests and prioritize report generation; and
Drive all actions/initiatives that will unlock greater sales opportunities.
Requirements
Aligned with PayJoy’s principles and cultures;
Must have strong commercial acumen with a proven 2-3 years track record of data analysis for sales - it’s a plus if you are from financial institutions;
Analytical thinking and Problem-solving skills to analyze data, identify inefficiencies, and propose data-driven solutions for improvement, and to work with large and complex datasets;
Exceptional communication and interpersonal skills, capable of engaging and influencing stakeholders at all levels in English and Indonesian;
Willing to work on-site in Jakarta;
Advanced knowledge of SQL, Data visualization software (Hex, Power BI, Looker, Tableau), Excel and Google Sheets skills;
Basic hands-on programming skills, added advantage to have one or more programming languages such as Java, Python, PHP, or similar;
Bachelor’s degree in Industrial Engineering, Business Administration, Finance, or Data Analytics
Must be detail-oriented, process-oriented, and comfortable working in a fast-paced environment;
Startup experience is a plus.
Benefits
100% Company Funded : Private Health Insurance for employee and immediate family
20 days vacation
Phone finance, Headphone, home office equipment and wellness perks.
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