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MIS & Data Analyst

Fair Ford Pharmaceuticals

Delhi-NCR, India · Full Time

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Experience
Any
Salary
INR 16,000 – INR 20,000 / month
Openings
1
Posted
1 day ago
Work mode
In office
Resume
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Job description

Job Overview

Fair Ford Pharmaceuticals is seeking a skilled MIS & Data Analyst possessing advanced proficiency in Excel along with strong capabilities in data analysis, reporting, and communication. The ideal candidate will transform raw datasets into precise, insightful, and user-friendly reports to aid organizational decision-making.

Key Responsibilities

  • Oversee the management, organization, cleansing, and analysis of data sets.
  • Develop comprehensive MIS reports, informative dashboards, and clear data presentations.
  • Apply advanced Excel functions such as Pivot Tables, Pivot Charts, XLOOKUP/VLOOKUP, SUMIFS/COUNTIFS to enhance reporting effectiveness.
  • Utilize Power Query and Excel's data manipulation tools to streamline data reporting processes.
  • Detect and highlight data inconsistencies, significant trends, gaps, and actionable insights.
  • Communicate data-driven findings effectively to relevant departments and personnel.
  • Collaborate with cross-functional teams to rectify data discrepancies ensuring data integrity.
  • Leverage AI tools like ChatGPT for improved analysis, reporting automation, and boosting productivity.
  • Maintain precise and confidential data records.

Requirements and Skills

  • Proficiency in Excel including advanced techniques such as Pivot Tables, complex formulas, dashboards, and data visualization.
  • Strong analytical mindset with excellent problem-solving abilities.
  • Exceptional attention to detail and accuracy.
  • Outstanding verbal and written communication skills capable of simplifying data insights.
  • Familiarity with AI tools including ChatGPT.
  • Experience or knowledge of Power BI and Power Query is considered beneficial.

Industry

Pharmaceuticals

Tools & software

Microsoft Excel Microsoft Excel required

How they work

Communication Problem Solving Attention to Detail

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