Reporting & Insights - Analyst

Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data & analytics), Market Research, Business Support Services, Media Services, Consulting & Advisory Services. We currently have 2500+ awesome colleagues (in Annalect India) who are committed to solve our clients’ pressing business issues. We are growing rapidly and looking for talented professionals like you to be part of this journey. 

• • Gather and evaluate data requirements by understanding client and project needs to implement scalable and efficient data engineering solutions.
  • Design, build, and manage robust ETL (Extract, Transform, Load) pipelines using Python to support business data workflows and reporting needs.
  • Serve as the primary point of contact for all data engineering-related tasks within the project.
  • Own the data QA process: create and maintain validation checks to ensure data integrity, monitor pipeline health, and resolve data quality issues proactively.
  • Prioritize and manage engineering tasks to ensure timely delivery of clean, reliable, and production-ready data.
  • Contribute to project planning by providing input on data pipeline design, database performance, and infrastructure needs.
  • Create and maintain technical documentation including pipeline logic, data flow diagrams, and troubleshooting guides.
                Should be able to drive conversation with team, client and business stake holders

• 3–5 years of hands-on experience in data engineering or data management, preferably within data-driven domains, with a strong focus on problem-solving and automation.
• Design, develop, and maintain scalable Python & SQL based ETL pipelines to process, transform, and integrate large volumes of structured and semi-structured data.
• Proven experience working with cloud data warehouses, especially Google BigQuery and SQL, managing datasets, optimizing queries, and ensuring data accuracy and availability.
• Ability to collaborate with analysts and business teams to identify key performance indicators and ensure they are accurately captured and transformed.
• Excellent written and verbal communication skills to document processes and engage with stakeholders.
• Comfortable working with large datasets and translating raw data into clean, analysis-ready outputs.
• Ability to manage multiple data workflows and projects simultaneously, ensuring timely and reliable delivery.
• Strong written and verbal communication skills.
• Able to work successfully with teams, handling multiple projects and meeting timelines.

            Maintaining positive client and vendor relationships.