Senior Data Analyst

About Company:

Tudip Technologies Pvt. Ltd. is a CMMI Level 5 extreme technology company. Careers at Tudip Technologies are not just jobs, but a promise of a bright and dynamic future. Tudip provides ample opportunities to grow within the company technically as well as a technocrat by promoting entrepreneurship. Tudip Technologies’ careers will enable you to help clients enhance and improve while you build your career. Tudip is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are a place which defines Integrity, Innovation, and Serenity. Tudip provides you a better platform that translates an individual into an experienced and immensely skilled professional through an ethical and vibrant business environment. We are here for effective client servicing, taking care of our employees’ needs, and creating a success story to remember.

Position Summary:

We are seeking a highly skilled Senior Data Analyst with over 7 years of experience to join our team. The ideal candidate will have strong expertise in data analysis, hands-on experience with Databricks, and a proven track record in developing forecasting models to drive data-driven decision-making and business strategy.

Please read the job criteria below and drop us an email at [email protected] OR create an account at our Recruitment Portal to get started.

Key Responsibilities

• Analyze large and complex datasets to extract meaningful insights and support strategic business decisions.
• Design, develop, and maintain forecasting models (time series, regression, etc.) for business planning and performance tracking.
• Work extensively with Databricks and Spark for data processing, transformation, and analytics.
• Collaborate with cross-functional teams to gather requirements and translate them into scalable data solutions.
• Build interactive dashboards and reports to effectively communicate insights to stakeholders.
• Ensure data quality, accuracy, and consistency across multiple data sources.
• Optimize data pipelines, queries, and workflows for improved performance and scalability.

Required Skills & Qualifications

• 7+ years of experience in Data Analytics or a related domain.
• Strong proficiency in SQL and data manipulation techniques.
• Hands-on experience with Databricks and Apache Spark.
• Experience in building and validating forecasting models.
• Strong analytical thinking and problem-solving skills.
• Experience with data visualization tools (AI/BI tools preferred).
• Good understanding of data warehousing concepts and ETL processes.

Preferred Skills (Good to Have)

• Experience with Python or R for data analysis and modeling
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Familiarity with advanced analytics or machine learning concepts.