Job Title: Data Analyst 3
Location: Hyderabad
Mode of Work: Hybrid (WFH/WFO as per project needs)
Number of Openings: 1
Estimated Start Date: ASAP
Shift Timing: General Shift
We are seeking a highly skilled Data Analyst 3 to join our client in Hyderabad. The ideal candidate should have a strong background in data curation analytics and automation along with excellent problem-solving skills.
Roles & ResponsibilitiesApply domain knowledge to design and implement processes for curating data based on specific segments entities and attributes.
Develop and apply business logic to compare data feeds in multi-partner environments using algorithmic approaches.
Continuously improve data precision levels effectively and efficiently.
Create automation tools and scripts to manage validate and analyze data.
Collaborate closely with program managers and engineering teams to eliminate data quality issues early in the lifecycle.
Follow project plans and ensure timely completion of milestones.
Break down tasks into manageable deliverables and ensure on-time delivery.
Provide regular status updates and escalate issues when necessary.
Participate in daily scrums client calls and cross-functional discussions.
Data Quality Judgments: Evaluate data accuracy and consistency.
Data Extraction: Pull and manage datasets as per project requirements.
Tool Usage: Run scripts/tools to clean validate and update data.
Reporting: Generate periodic data updates following set guidelines.
Experience: 3 to 5 years in data analytics or related roles.
Education: Any degree with relevant analytics skills.
Technical Skills:
Proven data analytics expertise in similar environments.
Scripting knowledge for data management.
Strong MS Excel proficiency.
Soft Skills:
Excellent problem-solving capabilities.
Strong communication and collaboration skills.
Ability to handle complex data challenges and meet timelines.
Data Analytics
Data Curation
MS Excel
Data Automation / Scripting
Data Quality Management
Stakeholder Management
Reporting & Visualization
Problem Solving
Agile / Scrum Practices