Data Analyst
zonious
India0–2 yrs1h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 2 years
- Must know
- Data analysisSalesMarketing
- Nice to have
- Data visualizationPythonSQLExcel
- Work
- On-site in India
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis86%Data visualization74%Marketing10%Sales8%of 102 similar fresher jobs posted in India this week
- Listed
- 2 Nov 2026 · still open
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About the Role
Zonious Ventures is seeking a motivated and analytical Data Analyst to join our team. The role involves working with business and operational data to identify trends, prepare reports, develop dashboards, and generate actionable insights that support business decisions and organizational growth. This is a full-time, remote position in India.
Key Responsibilities
- Collect, clean, organize, and analyze business and operational datasets.
- Identify trends, patterns, and opportunities through data analysis.
- Develop reports, dashboards, and visualizations to monitor business performance.
- Track key performance indicators (KPIs) and prepare regular performance reports.
- Analyze sales, marketing, customer, and operational data.
- Use SQL, Excel, Python, Power BI, Tableau, or similar tools for data analysis.
- Translate business requirements into meaningful analytical insights.
- Maintain data accuracy, documentation, and reporting standards.
- Present analytical findings and recommendations to internal teams and management.
Requirements & Tech Stack
- Familiarity with Microsoft Excel or Google Sheets.
- Basic knowledge of SQL and database concepts.
- Understanding of data visualization and reporting.
- Ability to work independently and collaborate with a remote team.
Qualifications
- Degree in or currently pursuing Data Analytics, Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field.
- Basic understanding of data analysis and statistical concepts.
- Strong analytical thinking and problem-solving abilities.
- Good written and verbal communication skills.
Preferred skills or practical experience includes:
- Python and SQL
- Microsoft Excel and Google Sheets
- Power BI or Tableau
- Statistical analysis
- Data visualization and business intelligence
- Working with real-world datasets
- Academic or personal data analytics projects