Data Analyst - Python/R (4-6 yrs)

Job Description :

We are seeking a talented and motivated Data Analyst to join our team in Bangalore. The ideal candidate will have a solid background in data analytics, with experience in analyzing complex datasets to derive actionable insights. This role is essential for supporting data-driven decision-making across the organization.

Key Responsibilities :

- Data Analysis: Analyze large and complex datasets to identify trends, patterns, and insights that inform business strategies and operational improvements.

- Reporting: Create and maintain comprehensive reports and dashboards that present data findings clearly and effectively for stakeholders.

- Data Visualization: Utilize data visualization tools (e.g., Tableau, Power BI) to communicate insights and recommendations to both technical and non-technical audiences.

- Data Quality Assurance: Ensure data integrity and accuracy by implementing and monitoring data quality standards and processes.

- Collaboration: Work closely with cross-functional teams, including product, marketing, and operations, to understand their data needs and deliver solutions that drive business objectives.

- Research: Stay updated on industry trends and best practices in data analytics, providing recommendations for tools and methodologies that can enhance data analysis capabilities.

- Support: Assist in developing analytical models and frameworks that support forecasting, segmentation, and other advanced analytical initiatives.

Qualifications :

- Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field.

- 4+ years of experience in data analytics or a similar role.

Skills Required :

- Proficiency in data analysis tools (e.g., Excel, SQL, R, Python).

- Experience with data visualization tools (e.g., Tableau, Power BI).

- Strong analytical and problem-solving skills.

- Excellent communication and presentation skills.

- Ability to work collaboratively in a team-oriented environment.

Benefits :

- Competitive salary and performance-based bonuses.

- Opportunities for professional development and continuous learning.

- Collaborative and innovative work environment.