[Company Logo][Company Name]
- Job Title:
- Data Analyst
- Department:
- Analytics / Business Intelligence
- Reports To:
- Analytics Manager
- Location:
- [Work Location]
- Employment Type:
- Full-time, Permanent
- Experience:
- 1–4 years in data analysis
- Job Code:
- [Reference Number]
About [Company Name]
[Company Name] is [one-line description of your business, products/services and team size]. Office address: [Company Address].
Job Summary
The Data Analyst will turn raw data from [Data Sources] into accurate dashboards and actionable insights for [Business Function] at [Company Name], supporting faster, evidence-based decisions.
Key Responsibilities
- Write SQL queries to extract and combine data
- Clean, validate and document datasets
- Build and maintain dashboards in [Power BI / Tableau]
- Prepare weekly and monthly performance reports
- Analyse trends, funnels and cohorts
- Answer ad hoc business questions with clear summaries
- Define KPIs and metric definitions with stakeholders
- Automate recurring reports
- Present insights to managers in simple language
Required Skills
- SQL
- Advanced Excel
- [Power BI / Tableau]
- Statistics basics
- Data storytelling
Qualifications & Experience
- Graduate in statistics, mathematics, engineering, economics or related field
- 1–4 years of analytics experience
Preferred Skills (Good to Have)
- Python (Pandas)
- Google Analytics
- Domain experience in [Domain]
Key Performance Indicators (KPIs)
| KPI | Target | Review Frequency |
|---|
| Dashboard data accuracy | [Percentage]% | Monthly |
| Reports delivered on time | 100% | Weekly |
| Ad hoc request turnaround | Within [Number] days | Monthly |
Salary Range
₹[Minimum CTC] – ₹[Maximum CTC] per annum (CTC), depending on experience and skills. Final offer will show the fixed and variable split and approximate in-hand salary.
Benefits
- Provident Fund (EPF) and ESI as applicable, gratuity as per law
- [Number] days of paid leave plus public holidays as per company policy
- [Health insurance / group mediclaim cover]
- Online course subscription
How to Apply
Send your CV and a sample dashboard or analysis (without confidential data). Send your application to [HR Email] with the subject line "Application – Data Analyst – [Your Name]" or apply through [Application Link]. Last date to apply: [Date].
Prepared by
[HR Name]Human Resources
Date:
[Date]Approved by
[Reporting Manager]Analytics / Business Intelligence
Date:
[Date]