Key Responsibilities

Data Analytics and Insights

- Analyze large datasets to uncover trends, patterns, and actionable insights.
- Collaborate with business teams to identify data needs and design analytical solutions.
- Support business operations by providing data-driven recommendations based on historical trends and statistical analysis.

SQL and PLX Development

- Write and optimize complex SQL queries for data extraction, transformation, and analysis.
- Design and manage PLX Scripts and PLX Workflows for streamlined data processes.
- Maintain data accuracy and integrity.

Looker Studio and Dashboard Development

- Design and implement interactive dashboards and reports in Looker Studio tailored to business needs.
- Build PLX Dashboards for advanced reporting and visualizations.
- Ensure data visualizations effectively communicate insights and key metrics.

ETL Pipeline Development

- Design, build, and maintain robust ETL pipelines to support data workflows.
- Automate data ingestion, transformation, and storage processes for scalability.
- Troubleshoot and resolve issues related to ETL workflows and data integration.

Google Sheets Integration and Automation

- Leverage Advanced Google Sheets and App Script for data analysis, reporting, and automation.
- Develop custom scripts to enhance functionality and automate workflows.

General

- Present findings and insights to stakeholders in a clear and concise manner.




- Partner with cross-functional teams to implement data-driven solutions.
- Stay current on new tools and technologies within Google’s tech stack to enhance analytics capabilities.

- Technical Skills

- Advanced proficiency in SQL and PLX Scripts for querying and data manipulation.
- Experience in designing and managing PLX Workflows and PLX Dashboards.
- Hands-on experience with Looker for dashboard creation and advanced reporting.
- Strong understanding of data visualization principles and best practices.
- Expertise in Advanced Google Sheets and App Script for reporting and workflow automation.
- Experience in designing and maintaining ETL pipelines for scalable data processes.

General Skills

- Strong analytical and critical thinking skills.
- Excellent communication and presentation skills for conveying insights effectively.
- Ability to manage multiple tasks and projects in a fast-paced workplace.
- Team-oriented with strong collaboration skills.

Qualifications

- Bachelor’s or Master’s degree in Data Science, Data Engineering, Analytics, Statistics, Computer Science, or a related field.
- 6+ years of experience in data engineering, data analytics, business intelligence, or similar roles.
- Prior experience with Google tech stack, including SQL (PLX Scripts), PLX Workflows, PLX Dashboards, Advanced Google Sheets, and Looker, is required.

📌 Lead Data Analyst (Hyderabad)
🏢 Spotshine Consulting Delhi
📍 Hyderabad