Data Analyst

Hakkoda, An IBM Company, is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone’s input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, India and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!.

Role & Responsibilities

• Develop and manage robust data pipelines and workflows for data integration, transformation, and loading.
• Develop, design, and maintain interactive Tableau dashboards and reports based on business requirements.
• Maintain and optimize existing dashboards and Tableau workbooks for performance and usability.
• Write and optimize complex SQL queries for data analysis and reporting purposes.
• Leverage Python for data manipulation, automation, and advanced analytics when necessary.
• Work closely with stakeholders to understand data needs and deliver actionable insights.
• Ensure high data quality, integrity, and governance across all reporting layers.
• Collaborate with data engineers, analysts, and business teams to design scalable data solutions.
• Work with cloud data platforms like Snowflake for data warehousing and analytics (good to have).

Qualifications

• Location: Pune, Maharashtra
• Education: Bachelor’s degree in computer science, Engineering, Data Science, Information Technology, or a related field.
• Experience: 3–6 years of professional experience in data engineering or data analysis.
• Proficient in SQL with the ability to write complex queries and perform data modeling.
• Strong hands-on experience with Tableau for visualization and reporting.
• Solid programming experience in Python for data processing and analysis.
• Good understanding of ETL/ELT concepts, data warehousing, and cloud data ecosystems.
• Strong problem-solving skills and attention to detail.
• Excellent communication and interpersonal skills to work with cross-functional teams.