job description
Join Taft Properties as a Sales Planning and Analytics Specialist and play a pivotal role in shaping the future of our sales strategy through cutting-edge data analytics, forecasting, and actionable insights. Based in the vibrant hub of Canggu, Bali, youâll collaborate with cross-functional teams to optimize performance, identify growth opportunities, and drive revenue in a dynamic market.
This is more than a jobâitâs a chance to leverage your analytical expertise in a fast-paced, innovative environment. With a competitive compensation package, career advancement opportunities, and the flexibility of Baliâs inspiring work culture, this role is perfect for data-driven professionals who thrive on turning numbers into impact.
If youâre passionate about transforming raw data into strategic decisions and want to be part of a forward-thinking company, weâd love to hear from you.
Responsibility
- Develop and implement data-driven sales forecasting models to predict trends and optimize inventory.
- Analyze market data, customer behavior, and sales performance to identify growth opportunities.
- Create comprehensive reports and dashboards for stakeholders using tools like Power BI, Tableau, or Excel.
- Collaborate with sales, marketing, and finance teams to align strategies with business objectives.
- Monitor KPIs and sales metrics, providing actionable insights to improve efficiency and profitability.
- Conduct competitive analysis to benchmark performance and recommend strategic adjustments.
- Automate data collection and reporting processes to streamline workflows and enhance accuracy.
- Present findings to senior leadership with clear, data-backed recommendations for decision-making.
Qualifications
- Bachelorâs degree in Business, Economics, Statistics, Mathematics, or a related field.
- Minimum 3 years of experience in sales analytics, business intelligence, or a similar role.
- Proficiency in data visualization tools (Power BI, Tableau) and advanced Excel (pivot tables, VLOOKUP, macros).
- Strong knowledge of SQL, Python, or R for data extraction and analysis (a plus).
- Proven ability to interpret complex datasets and translate them into actionable business strategies.
- Excellent communication and storytelling skills to present insights to non-technical stakeholders.
- Experience in real estate, property development, or retail is highly advantageous.
- Detail-oriented with a problem-solving mindset and a passion for continuous improvement.