Data Analyst - R/Python (6-10 yrs)

We are seeking an experienced Data Analyst with expertise in advanced SQL, analytics, and dashboarding. The ideal candidate will have 6-10 years of professional experience in data analysis, reporting, and visualization. You will play a critical role in extracting insights from complex datasets, building dashboards, and driving data-driven decisions for the organization.

Key Responsibilities :

Data Analysis & Insights :

- Extract, clean, and transform data to provide actionable insights.

- Perform advanced analysis to identify trends, patterns, and anomalies.

- Develop predictive and prescriptive analytics models as needed.

SQL Expertise :

- Write complex SQL queries for data extraction and analysis.

- Optimize SQL scripts for performance and scalability.

- Work with relational and non-relational databases to ensure data quality and consistency.

Dashboarding & Visualization :

- Create and maintain dashboards using tools like Power BI, Tableau, or similar platforms.

- Design intuitive visualizations to convey key metrics and business insights effectively.

- Work closely with stakeholders to customize dashboards based on their requirements.

Collaboration & Stakeholder Engagement :

- Collaborate with cross-functional teams, including engineering, marketing, and product, to understand data needs.

- Present findings and recommendations to stakeholders at various levels of the organization.

Technical Skills & Best Practices :

- Implement data governance and best practices for data handling.

- Ensure compliance with organizational policies and industry standards.

- Stay updated on the latest trends in data analytics and visualization tools.

Required Skills and Qualifications :

Experience : 6-10 years in data analysis, business intelligence, or related fields.

- Advanced proficiency in writing and optimizing SQL queries.

- Analytics Tools : Experience with Python, R, or similar for statistical analysis is a plus.

- Dashboard Tools : Expertise in Power BI, Tableau, or similar visualization tools.

- Data Management : Familiarity with ETL processes, data modeling, and data warehousing concepts.

Soft Skills : Strong analytical mindset, problem-solving skills, and ability to communicate complex data in a simple manner.

Education : Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field.