Deskripsi Pekerjaan
Are you a data-driven strategist with a passion for unlocking actionable insights? Everise Philippines is looking for a highly analytical and technical Sales Analytics Lead to join our high-performing team in Taguig City. In this role, you will be the bridge between raw data and executive decision-making, designing and maintaining sophisticated analytical tools that power our global sales operations.
You will play a pivotal role in shaping our sales strategy by leveraging Salesforce to build robust dashboards, complex reports, and scalable data models. If you thrive in an environment that values innovation, precision, and strategic impact, this is the perfect opportunity to elevate your career with a global industry leader.
Tanggung Jawab
- Architect and maintain comprehensive dashboards and reports within Salesforce to track key sales performance indicators.
- Translate complex business requirements into scalable data analytical tools and insight-gathering processes.
- Collaborate with cross-functional teams to identify data gaps and implement innovative solutions that improve sales efficiency.
- Conduct deep-dive data analysis to uncover trends, growth opportunities, and areas for performance optimization.
- Ensure high data integrity and reliability across all Salesforce objects and integrated platforms.
- Provide actionable recommendations to senior leadership based on quantitative evidence and market trends.
- Mentor junior analysts and promote a data-first culture within the sales organization.
Kualifikasi
- Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
- 5+ years of experience in sales operations, business intelligence, or data analytics roles.
- Advanced proficiency in Salesforce (Sales Cloud/Service Cloud) and related data visualization tools (Tableau, Power BI, or Looker).
- Strong proficiency in SQL and data modeling; experience with Python or R is a significant advantage.
- Deep understanding of sales funnels, lead conversion metrics, and revenue attribution models.
- Proven ability to communicate complex data findings to non-technical stakeholders clearly and concisely.
- Excellent project management skills with the ability to handle multiple priorities in a fast-paced environment.