MHTECHIN Off Campus Drive 2026 – Data Analyst

MHTECHIN Off Campus Drive 2026 – Details:

Detailed Eligibility:

Data Analyst:

Eligibility & Qualifications:

• Graduation Year: 2025 or 2026 (B.E./B.Tech, B.Sc, M.Sc, M.Tech, MBA Analytics, or equivalent).
• Field of Study: Computer Science, Statistics, Mathematics, Data Science, Economics, or related discipline.
• Strong knowledge of SQL and advanced Excel.
• Familiarity with Python or R for data analysis.
• Understanding of statistics, probability, and hypothesis testing.
• Excellent analytical thinking and problem-solving skills.
• Strong written and verbal communication in English

Preferred Skills:

• Experience or academic projects with cloud data warehouses (BigQuery, Snowflake, Redshift).
• Knowledge of ETL concepts, data modelling, or tools like dbt/Airflow.
• Exposure to machine learning basics or product analytics platforms (Amplitude, Mixpanel).
• Internship or project experience in data analytics, BI, or related field.

Key Responsibilities:

• Collect, clean, and transform large, complex data sets from multiple sources.
• Build and maintain dashboards and visualizations using Tableau / Power BI / Looker.
• Conduct exploratory data analysis (EDA), identify trends, and present actionable insights.
• Design and evaluate A/B tests, perform statistical analysis, and generate predictive reports.
• Collaborate with cross-functional teams to translate business questions into analytical models.
• Ensure data quality, accuracy, and security across pipelines and reporting layers.
• Document findings and communicate recommendations clearly to both technical and non-technical stakeholders.

Application Process:

1. Online Application: Submit your resume and academic transcripts via the application link
2. Aptitude & SQL/Python Assessment.
3. Technical Interview – problem-solving and case study discussion.
4. HR/Managerial Round – culture fit and career aspirations.

• Graduation Year: 2025 or 2026 (B.E./B.Tech, B.Sc, M.Sc, M.Tech, MBA Analytics, or equivalent).
• Field of Study: Computer Science, Statistics, Mathematics, Data Science, Economics, or related discipline.
• Strong knowledge of SQL and advanced Excel.
• Familiarity with Python or R for data analysis.
• Understanding of statistics, probability, and hypothesis testing.
• Excellent analytical thinking and problem-solving skills.
• Strong written and verbal communication in English
• Experience or academic projects with cloud data warehouses (BigQuery, Snowflake, Redshift).
• Knowledge of ETL concepts, data modelling, or tools like dbt/Airflow.
• Exposure to machine learning basics or product analytics platforms (Amplitude, Mixpanel).