Experience
- 5 to 8 years
Education
Bachelor's degree in Statistics/ Business Administration or a related discipline.
Requirements
- 5 to 8 years
Additional Requirements
- Age At least 25 years
Preferably 5–8 years of experience in data analysis, sales analytics, business intelligence, MIS, or a related field.
Experience in real estate, property sales, CRM analytics, or sales pipeline analysis will be an advantage.
Ability to interpret data and translate findings into actionable recommendations.
Advanced proficiency in Microsoft Excel, including PivotTables, lookup functions, formulas, charts, and data cleaning.
Practical experience with Microsoft Power BI or similar business intelligence and dashboard tools.
Strong understanding of sales pipeline analysis, lead conversion, sales forecasting, and performance reporting.
Ability to work with CRM systems, databases, and large datasets.Knowledge of SQL and data visualization techniques will be an advantage.
Strong analytical, problem-solving, and presentation skills.
Analytical and critical thinking.
Attention to detail and data accuracy.
Effective communication and presentation skills.
Should be capable to communicate with existing clients.
Cross-functional coordination and stakeholder management.
Ability to meet reporting deadlines and manage multiple assignments.
Responsibilities & Context
To collect, consolidate, analyze, and interpret sales and business data to provide actionable insights to management for informed decision-making. The position will monitor the entire sales pipeline, including untouched leads, leads under process, leads at the final negotiation stage, and closed cases. The role will also identify sales trends, conversion gaps, business opportunities, and performance improvement areas to support the achievement of the company's sales targets.
A. Sales Data Analysis & Reporting
Collect, consolidate, and analyze sales data from different departments, SBUs, and sales teams.
Prepare daily, weekly, and monthly sales performance reports against targets.
Analyze project-wise, area-wise, apartment-wise, land-wise, and SBU-wise sales performance.
Monitor actual sales against targets and identify performance gaps.
Prepare management reports and dashboards to support strategic and operational decision-making.
B. Lead Pipeline Management & Analysis
o Monitor and analyze leads throughout the entire sales pipeline, including new Leads, Untouched Leads, Contacted Leads, Leads Under Process, Leads at the Final Stage, Closed case
Track the number, value, age, and status of leads at each stage of the sales pipeline.
Identify untouched, delayed, inactive, and high-potential leads requiring immediate attention.
Analyze the reasons for lead conversion, loss, delay, and stagnation.
Monitor lead follow-up frequency and the time taken to move leads from one stage to another.
Prepare reports on lead conversion rates, stage-wise conversion, and pending opportunities.
Highlight high-value leads and closing opportunities for management's attention.
C. Sales Performance & Conversion Analysis
Analyze the performance of individual sales executives, sales teams, and business units.
Calculate lead-to-sale conversion rates and identify areas where potential sales are being lost.
Identify the sources of leads that generate the highest number of successful sales.
Analyze the average time required to convert a lead into a booking or completed sale.
Evaluate the effectiveness of sales campaigns and marketing activities.
Identify recurring sales challenges and recommend data-supported improvement measures.
D. Management Dashboard & Business Intelligence
Develop and maintain interactive dashboards using Microsoft Excel, Power BI, or other appropriate business intelligence tools.
Present key performance indicators (KPIs) through charts, tables, trend analysis, and management summaries.
Provide ad hoc reports and data analysis as requested by management.
E. Data Accuracy & CRM Monitoring
Collect sales and lead data from the CRM, sales teams, marketing department, and other relevant sources.
Verify data accuracy, completeness, consistency, and timely updates.
Identify missing information, duplicate leads, inconsistent statuses, and outdated records.
Coordinate with the sales team to ensure that lead status, follow-up dates, expected closing dates, and sales outcomes are updated correctly.
Maintain standardized reporting formats and definitions for sales and lead-related data.
Ensure the confidentiality and appropriate use of business and customer information.
F. Marketing Insights & Market Analysis
Collect, consolidate, and analyze market intelligence related to the real estate industry, including market trends, customer preferences, and emerging business opportunities.
Gather information on competitors’ projects, apartment and land prices, locations, payment plans, promotional offers, and other relevant market activities.
Collect and analyze customer feedback, buying preferences, objections, and reasons for selecting or rejecting the company's projects.
Analyze market demand for apartments, land, commercial spaces, and other real estate products, as applicable.
Monitor competitors' marketing strategies, sales campaigns, pricing policies, and promotional activities to identify potential competitive advantages.
Analyze lead sources, marketing campaign performance, and lead conversion rates to identify the most effective marketing channels.
Identify emerging market trends, customer segments, and potential locations for future business opportunities.
Collect market intelligence from sales teams, marketing teams, customer interactions, industry publications, online platforms, and other relevant sources.
Prepare periodic market intelligence reports highlighting competitors' activities, market opportunities, customer expectations, and potential business risks.
Present actionable market insights and data-driven recommendations to management to support strategic planning, pricing decisions, marketing initiatives, and business development.
G. Sales Forecasting & Business Insights
Forecast potential sales based on historical performance, active leads, conversion rates, and expected closing dates.
Estimate potential revenue from leads at different stages of the sales pipeline.
Identify projects, products, or market segments with strong or weak sales performance.
Analyze reasons for underperformance and recommend possible corrective actions.
Identify opportunities to improve lead utilization, follow-up efficiency, conversion rates, and revenue generation.
Provide data-driven recommendations to management for sales planning, resource allocation, and business development.
H. Coordination & Management Support
Coordinate with Sales, Marketing, CRM, Finance, and other relevant departments to obtain and validate business data.
Conduct periodic data review meetings with relevant stakeholders, when required.
Highlight critical issues, delayed opportunities, and significant deviations from sales targets.
Present key findings and recommendations to management in a clear and concise manner.
Follow up on management's reporting requirements and provide updated analyses to support business decisions.
Job Other Benifits
Pick & Drop facility
Salary Review: Yearly based on performance
Festival Bonus: 2(Yearly)
Earn leave encashment
Gratuity Scheme
Lunch & Mobile allowance
Welfare Fund
Weekly Holidays: Friday and Alternative Thursday