Senior Data Analyst

We are looking for a skilled and proactive Senior Data Analyst to take ownership of multiple designated client accounts. The role involves applying analytics and visualization techniques to drive better business decision-making while independently managing client interactions and expectations.

Responsibilities:

• Understand client brief and translate into tasks and analysis steps. Deliver insights and results back to the client independently.
• Design solutions to integrate with various downstream and upstream systems/applications.
• Provide business analytics (statistical analysis a part of the output) to the client as a part of decision-making.
• Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization).
• Client data handling, generally high size of data. Loading, analyzing the data and generating analytical outputs as per the requirements.
• Deliver projects, assignments, and client requests on time and with high accuracy.
• Data architecture knowledge and implementation. Deep expertise in databases, data modelling, data architecture and deployment.

Requirements:

• Graduation in BE / B Tech; M.Sc./MTech.
• Specialization/certification in visualization tools.
• Proficiency in SQL, Python, PowerBI/Tableau, Google Analytics.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud and associated microservices.
• Should have worked on Data Visualization Projects and developed PowerBI/Tableau dashboards and have a good understanding of deployment in production environments.
• Advanced modelling, strategic planning, and data architecture understanding.
• Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy.
• Expert understanding of advanced MS Excel, database management systems, EDA, ETL tools, data models, development, and production environments.
• Demonstrate capability to provide meaningful and actionable insights for marketers.
• Good understanding and working experience with multiple data sources (Transaction data, Customer Profile Data).
• Strong written communications - Can write clearly and succinctly in a variety of communication settings and styles. Can get messages across that have the desired effect.
• High level of comfort with receiving, loading, cleansing, enriching enhancing transactional data sources.
• Good understanding of the business environment in India (Retail, BFSI, Travel, Entertainment) is preferable.
• To be able to lead and mentor team of data analyst.
• Customer focus - dedicated to meeting the expectations of internal and external clients.
• Problem solving - Uses logic and methods to solve difficult problems with effective solutions. Probes all fruitful sources for answers, excellent at analysis. Looks beyond the obvious and doesnt stop at the first answers.
• Agility and quick learner - Learns quickly when facing new problems and relentless and versatile learner.
• Drive for results-Able to set priorities, pursue tasks tenaciously with a need to finish. Able to overcome setbacks which may occur along the way.
• Ability to communicate proactively and work with people from multiple divisions.