Data Analytics Executive Job
Job Description
Company: NeoDove Technologies Private Limited
About the job
Key responsibilities:
1. Prepare daily, weekly, and monthly sales-related MIS reports including Daily sales tracking/ forecasting report, market share analysis, gross margin analysis by market, TSE-wise and territory-wise, etc
2. Prepare market intelligence reports within specified timelines to facilitate strategic sales decision-making
3. Assists the manager in implementing key decisions within the region through regular follow-up
4. Track discounts and scheme spends / disbursement by market
5. Ensure availability, integrity & usability of data
6. Updates and maintains all sales-related documents
Skill(s) required
Data AnalyticsGoogle WorkspaceMS-Excel
Earn certifications in these skills
Other requirements
1. Should be a Graduate with a Minimum of 0.6 -2 years of experience.
2. Should be from FMCG or the Liquor Industry.
3. Should be Good in advanced Excel, look up, and Pivot.
4. Will be closely working with senior leadership reporting.
5. Will be based in Bangalore.
6. Should be well versed with Excel tools.
7. Should be able to communicate properly with various Stakeholders eg Distributors – Team lead
Salary
Annual CTC: ₹ 2,40,000 – 3,50,000 /year
Perks
Informal dress code
Number of openings
4
About NeoDove Technologies Private Limited
NeoDove is a telecalling CRM and sales engagement platform that helps small and medium businesses build great relationships with their customers across channels and drive more conversions to build a stronger and bigger business. At NeoDove, our aim is to be the go-to sales engagement platform for businesses globally. With our end-to-end tech-enabled products, we significantly contribute to the growth of our clients. With our focus strongly vested in building innovative calling solutions backed by technology and a commitment to provide consistent support to our clients, we bring a platform that is not loved just for its simplicity or quick implementation, but for its constant evolution based on the users’ requirements
