Seitz Cleaning
Sales Data Analyst
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Gurugram, Haryana, India
Work mode:
Onsite
Published on:
23 September 2026
What they need
About the Role
We're looking for a detail-oriented Sales Data Analyst to manage and continuously improve our Internation Sales Reporting Intelligence (ROI) System. You'll be the central link between 20+ distribution partners, sales reps, and management ensuring sales data is collected, validated, standardized, and turned into reliable monthly reporting.
What You'll Do
- Collect and follow up on monthly sales data from 20+ distributors (Excel, CSV, PDF, and other formats)
- Import and map data into our reporting system; troubleshoot import errors
- Clean and standardize customer names, addresses, and product data; resolve duplicate records
- Prepare recurring reports: sales performance, account activity, customer alerts, product usage trends, and forecasting support
- Support sales commission reporting and account ownership accuracy
- Recommend and help implement process automation and reporting improvements over time
Must-Have Skills
- Advanced Excel (VLOOKUP/XLOOKUP, pivot tables, data cleansing)
- Proven experience handling data from multiple external sources/vendors in inconsistent formats
- Strong data validation, deduplication, and standardization skills
- High attention to detail and comfort with repetitive monthly cycles
- Ability to work independently and communicate clearly with external partners
Nice-to-Have
- Power BI (dashboards, basic DAX)
- SQL basics
- CRM/ERP experience
- Prior work with US-based teams or clients
Who Should Apply
Candidates from distribution, FMCG, pharma, or manufacturing backgrounds with experience reconciling multi-distributor or multi-vendor sales data are a strong fit even without a formal "BI Analyst" title. Titles like MIS Analyst, Sales Operations Analyst, Reporting Analyst, or CRM Data Analyst are good targets on Naukri/LinkedIn.
Education
Associate's or Bachelor's in Business, Data Analytics, Information Systems, Finance, or related field (or equivalent experience)
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