Job Summary
Experience:
8.00 - 10.00 Years
Industrial Type:
IT-Software/Software Services
Location:
Hyderabad
Functional Area:
IT Software - Application Programming / Maintenance
Designation:
Lead Data Analyst
Key Skills:
bi, quicksight, AWS
Educational Level:
Graduate/Bachelors
Job Post Date:
2025-09-12 12:19:34
Stream of Study:
Agriculture/Forestry
Degree:
BA, BBA, BBA/BMS, BBI, BCA, BCom, BCS, BDES, BE-Comp/IT, BEd, BE-Other, BFA, BFM, BIS, BIT, BMS, BSc-Comp/IT, BSc-Other, BTech-Comp/IT, BTech-Other, CA, CS, DCA, DCS, DE-Comp/IT, DE-Other, Diploma, ICWA, LLB, MA, MBA, MBBS, MCA, MCM, MCom, MCS, ME-Comp/IT, ME-Other, MIS, MIT, MMS, MSc-Comp/IT, MS-Comp/IT, MSc-Other, MS-Other, MTech-Comp/IT
Company Description
Our provide utilities, infrastructure providers and public service organizations with the tools they need to unlock their greatest asset: their people.
We help companies empower and connect their workforce with more complete information, better insights and powerful decision support – when and where they need it – to improve performance, efficiency and profitability.
Is your organization equipped to face the challenges ahead?
In today’s competitive landscape, having the right tools and processes to support this changing workforce is the key determiner of success or failure for utilities. Most field service and asset management systems in use today are based on outdated technology and are highly fragmented and disconnected, leading to data silos and operational inefficiencies.
We best-in-class solution integrates work and asset management, making it uniquely equipped to address these challenges. With our deep utility specialization, organizations gain specialized workflows, enhanced data utilization, and improved decision support that enables stronger decision-making, drives efficiency, and helps deliver an exceptional customer service experience.
Job Description
Lead Data Analyst
We are seeking a skilled and motivated Lead Data Analyst to oversee the successful implementation and ongoing support of Business Intelligence (BI) solutions for all customers. Leveraging AWS Redshift and Amazon QuickSight, this role will ensure seamless BI integration, data accuracy, ETL optimization, and manage release upgrades, daily operations, and internal reporting needs.
Responsibilities:
Lead and manage the end-to-end implementation of BI solutions across all customer projects, ensuring timely and high-quality delivery.
Oversee and optimize ETL processes to ensure efficient data handling, storage, and retrieval within the BI framework.
Manage daily operations, including bug tracking, prioritizing enhancements, and coordinating resolutions with both the technical team and customer contacts.
Develop and manage internal reports and dashboards to support decision-making, providing insights into KPIs and operational metrics for key stakeholders.
Coordinate with customers to plan and execute BI-related activities for each new release, ensuring minimal disruption and seamless upgrades.
Oversee the health and performance of BI systems, working with the infrastructure team to ensure data integrity, speed, and reliability.
Work closely with Product Engineering and Customer Success teams to understand requirements, align on priorities, and provide feedback for product improvements.
Troubleshoot technical issues and provide solutions to ensure smooth operation of QuickSight dashboards.
Identify opportunities to improve data analysis processes and enhance overall data analytics capabilities.
Ensure comprehensive documentation and knowledge transfer, providing training and guidance to internal teams and end-users as needed.
Requirements:
Bachelor’s or Master’s degree in a Relevant Field such as Data Science, Business Analytics, Information Systems, or Computer Science.
6+ years of progressively increasing professional experience in Data Analytics, with at least 3+ years in a senior-level role.
3+ years’ experience in Amazon QuickSight and SQL.
Strong experience in building visualizations, dashboards, and reports using QuickSight.
Strong SQL skills for data extraction, transformation, and loading from various data sources.
Experience working closely with stakeholders to understand needs and define analytic requirements.
Experience with data warehousing concepts and ETL processes.
Cloud Computing and AWS Experience.
Excellent Communication and Collaboration, Analytical and Problem-Solving Skills.
