Manager- Sales Analytics & Revenue Maximization

A critical role in driving data-driven decision-making within the organization. This roleinvolves leading analytics initiatives, developing business intelligence (BI) solutions, andproviding actionable insights The position will focus on improving key performanceindicators (KPIs), and running sales and purchase efficiency programs.

Key Accountabilities :

KPI Analysis and Insights​

• Conduct data-driven deep-dive analysis on key KPIs to identify trends, patterns, and performance fluctuations to provide insights.​
• Apply descriptive, diagnostic, predictive, and prescriptive analytics to suggest solutions / insights on business problems.​
• Investigate root causes behind KPI improvements or declines and assess internal and external influencing factors and present it to the management.​
• Identify key drivers and business levers to recommend actionable insights for performance enhancement.​
• Collaborate with cross-functional teams to translate analytical findings into strategic initiatives and operational improvements.​
• Build frameworks, Dashboards and SOPs to monitor and KPI movements and support decision-making.

Business Intelligence Solutions

• Design, develop, and execute programs such as incentive plans for stakeholders and sales initiatives to enhance performance and achieve business objectives.​
• Drive, track, and monitor the progress of these programs to ensure effective implementation and desired outcomes.​
• Analyze the impact and effectiveness of initiatives, preparing detailed reports and presentations for senior leadership.​
• Provide actionable insights and recommendations to improve program performance and align with organizational goals.​
• Collaborate closely with cross-functional teams and stakeholders to ensure programs are in sync with business priorities and targets

Process Automation and Collaboration

• Collaborate with stakeholders to understand business needs and deliver tailored BI solutions by partnering with product and tech teams to automate data collection, processes, and reporting workflows.​
• Identify opportunities for automation and leverage tools to streamline repetitive tasks and enhance data management processes.​
• Work towards building predictive analytics framework​

Qualifications & Skills:

B.Com / B.Tech / B.Sc. Economics with 2 years of experience ​MBA / PGDM is must ​Proven experience in analytics and insight​Experience in sales & operations, marketing, category and logistics analytics ispreferred.​Proficiency in data analysis tools like SQL and Python and techniques is add on.​Excellent problem-solving skills with the ability to translate data insights intoactionable strategies.​Strong business acumen, strategic thinking, and intellectual curiosity.​Excellent communication skills, with the ability to convey complex analyticsconcepts to diverse audiences.​Ability to work effectively in cross-functional teams and collaborate with multiplestakeholders.​Experience in Construction Industry & B2B Ecommerce (Building Material), Financialservices with exposure to lending in construction industry is a plus.​Appreciate technology: should have a digital bent of mind. ​