About Us
dotSolved, headquartered in Silicon Valley USA, is a leading global provider of business process automation, modern application engineering, and cloud infrastructure services. dotSolved focuses on enabling digital transformations for small, medium, and large enterprises, in the following industries (but not limited to): High technology, Energy, Manufacturing, Financial Services, Media & Entertainment, Communications, Retail, Healthcare, and Education.
dotSolved drives digital transformations for enterprises by defining, automating, and optimizing complex business processes for the digital era and engineering modern, data & analytic driven, applications that deliver intended business value. With hundreds of successful implementations and experience in Big Data, ERP, and Supply Chain, dotSolved can guarantee the creation of measurable business value from project engagements leading to accelerated business growth and profitability for customers.
Job Description
Position: Lead Data Analyst
Location: Chennai - Onsite
Shift Timing: 10.00AM - 7.00PM IST
Engagement Mode: Full Time
Experience Level: 6-10 Years
About the role: We are looking for a highly skilled Lead Data Analyst with strong expertise in Data Warehousing & Analytics to join our team. The ideal candidate will have extensive experience in designing and managing data solutions, advanced SQL proficiency, and hands-on expertise. in Python.
Key Responsibilities
- Design, develop, and maintain scalable data warehouse solutions.
- Write and optimize complex SQL queries for data extraction, transformation, and reporting.
- Develop and automate data pipelines using Python.
- Work with AWS cloud services for data storage, processing, and analytics.
- Collaborate with cross-functional teams to provide data-driven insights and solutions.
- Ensure data integrity, security, and performance optimization.
Required Skills & Experience
- 6-10 years of experience in Data Warehousing & Analytics.
- Strong proficiency in writing complex SQL queries with deep understanding of query optimization, stored procedures, and indexing.
- Hands-on experience with Python for data processing and automation.
- Experience working with AWS cloud services.
- Hands-on experience with reporting tools like Power BI or Tableau.
- Ability to work independently and collaborate with teams across different time zones.
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