Data Analyst
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
This is a remote position.
Were looking for a talented Data Analyst with a strong foundation in Statistics and hands-on experience uncovering insights from large and complex datasets. If you love turning raw data into meaningful stories and have solid expertise in exploratory analysis.
Responsibilities
Responsibilities
Perform exploratory data analysis (EDA) to uncover trends patterns and anomalies.
Apply statistical techniques (correlation analysis regression hypothesis testing etc.)
to derive clear business insights.
Work with large datasets to identify relationships and meaningful variable interactions.
Conduct time-series analysis including forecasting trend decomposition and
seasonality detection.
Build intuitive visualizations and dashboards to communicate insights effectively.
Present findings through strong storytelling making complex insights easy to
understand.
Collaborate with cross-functional teams to support decision-making and strategic
initiatives.
Ensure data quality documentation and reproducible analysis workflows.
Requirements
Bachelors or Masters degree in Statistics / Data Science (mandatory).
4 years of experience in data analysis or a similar role.
Strong statistical and analytical skills with experience handling large datasets.
Proficiency in Python for data analysis.
Good understanding of time-series analysis and forecasting techniques will be an
added advantage.
Excellent communication and storytelling ability.
Benefits
Competitive salary and benefits.
Opportunities for high-speed professional growth and development.
Collaborative and supportive work environment.
Medical insurance
OP Allowance
Statutory Benefits like PF ESI LWF Gratuity
Training (Technical & Soft skills)
Required Skills:
Bachelors or Masters degree in Statistics / Data Science (mandatory). 4 years of experience in data analysis or a similar role. Strong statistical and analytical skills with experience handling large datasets. Proficiency in Python for data analysis. Good understanding of time-series analysis and forecasting techniques will be an added advantage. Excellent communication and storytelling ability.
Company Industry
IT Services and IT Consulting
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
