Data Analyst

Alpha Analytics Services is seeking a dedicated and skilled Data Analyst with expertise in ETL tools to join our dynamic team in Pune, Maharashtra. This full-time role is perfect for professionals passionate about data integration, transformation, and analysis. As a Data Analyst specializing in ETL, you will play a crucial role in developing and implementing robust data solutions for our consulting clients, ensuring data quality and accessibility for informed decision-making.

Key Responsibilities

• Import, cleanse, transform, validate, and analyze data from various sources, including databases and flat files, for data modeling and integration purposes.
• Develop, deploy, optimize, and support ETL jobs, focusing on dimension and fact tables within a data warehouse environment.
• Design and implement effective error handling processes to ensure data integrity and reliability.
• Create and execute scheduling strategies for automated data integration workflows.
• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data integration solutions.
• Perform unit testing and defect fixes to maintain the highest standards of data quality.

Requirements

• 2-4 years of hands-on experience with ETL tools such as Pentaho (Kettle), Talend Open Studio, or Informatica.
• Strong proficiency in SQL, including the ability to write stored procedures, triggers, and functions.
• A technical graduate will be preferred, demonstrating a solid foundation in relevant technical disciplines.
• Excellent analytical skills with a keen eye for detail in data analysis and problem-solving.
• Ability to work effectively in a team environment and communicate technical concepts clearly.
• Freshers with exceptional knowledge and skills in the mentioned technologies are also encouraged to apply.

What We Offer

• An opportunity to work with a leading analytics service provider and contribute to impactful client projects.
• Exposure to cutting-edge data integration technologies and methodologies.
• A collaborative and supportive work environment that fosters professional growth.
• Continuous learning opportunities and skill development in the rapidly evolving field of data analytics.
• A chance to make a significant impact on data strategy and decision-making for various clients.