About Shiksha Study Abroad

Shiksha Study Abroad is a leading education consultancy helping Indian students achieve their dreams of studying at top universities in UK, Australia, New Zealand, the US, Canada, and Europe.

Role Overview

We're looking for a highly analytical MIS Analyst to transform data into actionable insights that drive strategic decision-making across our operations. You'll work closely with cross-functional teams to build dashboards, analyze trends, and optimize our counseling and admissions processes.

Key Responsibilities

- Design and maintain interactive dashboards and reports using Metabase/Power BI/Tableau to track key business metrics
- Analyze lead quality, conversion funnels, counselor performance, and market trends across different geographies
- Extract and transform data using SQL to generate insights on student applications, university partnerships, and operational efficiency
- Build and maintain automated MIS reports for leadership and operational teams
- Identify data anomalies, trends, and opportunities for process optimization
- Collaborate with Product, Counseling, and Marketing teams to define tracking requirements and KPIs




- Create ad-hoc analysis to support strategic initiatives and business decisions
- Ensure data accuracy and integrity across reporting systems

Must-Have Requirements

- 2+ years�of experience as an MIS/Data Analyst, preferably at new-age internet companies or quick-growing startups
- Expert-level proficiency in Excel�(pivot tables, advanced formulas, data modeling, macros)
- Strong working knowledge�of at least one BI tool - Metabase preferred, Power BI, or Tableau
- Solid SQL skills�- ability to write complex queries, joins, aggregations, and optimize query performance
- Strong analytical mindset�- ability to derive insights from data and present actionable recommendations
- Excellent communication skills�- ability to explain complex data insights to non-technical stakeholders
- Experience working in metrics-driven, fast-paced environments

Good to Have

- Working knowledge of Python�for data analysis (pandas, numpy)
- Experience in EdTech, Education services, or marketplace businesses
- Familiarity with data warehousing concepts

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📌 Assistant Manager (Noida)
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📍 Noida