Data Analyst / Data Scientist

IndiaRemoteFull-timemid

Data ScientistData

1 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Perform exploratory data analysis to identify trends, patterns, and opportunities within large datasets. Build and maintain dashboards and reports using Tableau to visualize KPIs, performance metrics,

Requirements Summary

Technical Tools

Data ScientistData

Requirements

~1 min read

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
1–5 years of experience in a data analyst or data scientist role, preferably in a fast-paced or startup environment.
Strong proficiency in SQL and Python for data manipulation and analysis.
Experience building dashboards and visualizations using Tableau (or similar tools such as Power BI or Looker).
Solid understanding of statistical methods and ability to apply them to real-world business problems.
Strong analytical and problem-solving skills with attention to detail and accuracy.
Excellent communication and collaboration skills, with the ability to present findings in a clear and concise manner.

Responsibilities

~1 min read

→ Perform exploratory data analysis to identify trends, patterns, and opportunities within large datasets.
→ Build and maintain dashboards and reports using Tableau to visualize KPIs, performance metrics, and other analytical outputs.
→ Write efficient, well-structured SQL queries to extract, manipulate, and analyze data from various databases.
→ Use Python to develop scripts and workflows for data cleaning, transformation, and predictive modeling.
→ Collaborate with cross-functional teams to define data requirements and deliver insights to support business decisions.
→ Interpret data and communicate results clearly and effectively to both technical and non-technical stakeholders.
→ Participate in the development and improvement of data models, pipelines, and quality checks.
→ Stay up-to-date with industry trends, best practices, and new technologies in analytics and data science.

Nice to Have

~1 min read

Exposure to machine learning techniques and libraries (e.g., scikit-learn, XGBoost, etc.).
Experience working with cloud-based data platforms (AWS, GCP, or Azure).
Familiarity with version control tools like Git and workflow automation tools like Airflow.