MIS Analyst (App Script expert)

4 years

4 - 6 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

MIS Analyst

Location:

Andheri East, Mumbai

Salary:

Up to ₹50,000 per month

Job Type:

Full-Time

Job Overview

We are hiring an

MIS Analyst

to join our growing team. This role is ideal for candidates with strong expertise in

MIS reporting, data analysis, Google App Script, Power BI, and Excel automation

. The MIS Analyst will be responsible for transforming raw data into actionable business intelligence, automating workflows, and generating reports that drive strategic decisions across

production, sales, logistics, and R&D

.Key Responsibilities
  • System Development & Automation
  • Develop and implement automated workflows using Google App Script for improved efficiency.
  • Set up automated alerts and reporting systems through Google Sheets.
  • Identify and execute automation opportunities in data extraction, reporting, and operations.
  • Collaborate with management to design new business applications and tools.
  • Business Intelligence & Data Visualization
  • Build and maintain interactive dashboards in Power BI for sales, production, and export/import data.
  • Create predictive models, forecasts, and trend analyses to support business planning.
  • Convert complex datasets into simple, actionable insights for stakeholders.
  • Reporting & Data Management
  • Generate and distribute accurate daily, weekly, monthly, and yearly reports.
  • Key reports include:
    • Daily Production summaries for Ambernath and other units.
    • Sales reports by individual, region, and time period.
    • R&D Experiment reports.
    • Dispatch and logistics tracking reports.
  • Ensure integrity, accuracy, and maintenance of factory master data.
  • Monitor logistics shipments and compliance with documents like Advance Licences.
  • Process Improvement & Operational Analytics
  • Analyze data to identify bottlenecks, inefficiencies, and process improvements.
  • Conduct ABC analysis for production and inventory optimization.
  • Support continuous improvement with Operations, Quality, and Maintenance teams.
  • Assist in forecasting, capacity planning, and inventory management models.
  • Performance Management & KPI Tracking
  • Maintain employee-specific checklists and trackers for daily/weekly activities.
  • Generate and circulate KPI scorecards to management for performance monitoring.

Qualifications & Skills

  • Education: Bachelor’s degree in IT, Computer Science, Statistics, Business Administration, or related field.
  • Experience: 2–4 years in MIS, Data Analysis, or Business Analysis, preferably in a manufacturing industry.
  • Technical Skills:
    • Expert in Google App Script, Google Sheets, MS Excel (Pivot, VBA, Advanced Formulas).
    • Proficient in Power BI dashboards and reporting.
    • Working knowledge of SQL for data management.
  • Analytical Skills: Strong problem-solving, data interpretation, and accuracy in reporting.
  • Soft Skills: Strong communication, stakeholder collaboration, and proactive approach.

Preferred Qualifications

  • Experience with additional visualization tools like Tableau.
  • Programming knowledge in Python for data analysis.
  • Familiarity with ERP systems (SAP, Oracle).
  • Prior experience in the chemical or specialty organics industry.
Why Join Us?
  • Opportunity to work on end-to-end MIS, analytics, and automation projects.
  • Exposure to cross-functional operations – production, sales, logistics, and R&D.
  • Competitive salary up to ₹50,000 per month.
  • Work location: Andheri East, Mumbai.

Apply now and be part of a data-driven team driving operational excellence at Vipul Organics.

Skills: data analysis,reporting,automation,mis,google appscript,app script,power bi,advanced excel skills,excel,excel dashboards,dashboards,google sheets,system development,data extraction,business application design,data analysis techniques,interactive dashboards,trend analysis,forecasting,predictive modeling,data management,factory data,logistics management,sales

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