Senior Data Analyst

Senior Data Analyst

Important Information
Location: India
Experience: 4+ years
Job Mode: Full-time
Work Mode: Work from home, On-site, or Hybrid

Responsibilities:

• Perform complex data analysis using strong SQL skills to extract, manipulate, and transform large datasets.
• Develop, maintain, and optimize interactive data visualizations using AWS QuickSight and Tableau to provide actionable insights for business stakeholders.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions that align with organizational goals.
• Provide basic Python scripting to automate data workflows, enhance reporting processes, and support ad hoc analysis requests.
• Generate clear and concise reports, dashboards, and presentations to communicate data insights effectively to both technical and non-technical stakeholders.
• Assist in data modeling, data cleansing, and integrating data from multiple sources to ensure accuracy and consistency across reports and visualizations.
• Continuously evaluate and enhance data analysis methodologies and visualization tools to improve efficiency and accuracy.

Qualifications and Skills:

• Bachelor's or Master's degree in Computer Science, Information Technology, Statistics, Data Science, or a related field.
• Strong experience in SQL, including complex queries, joins, and aggregations, to manipulate and analyze large datasets.
• Proven experience with AWS QuickSight, Tableau, or similar data visualization tools to create compelling, interactive dashboards and reports.
• Basic proficiency in Python for scripting and automating data workflows and analysis tasks.
• Experience working with cloud-based data environments, preferably AWS, and understanding of data warehousing concepts.
• Strong analytical and problem-solving skills with the ability to interpret and present data insights clearly and effectively.
• Excellent communication skills, with the ability to collaborate with both technical and non-technical teams.
• Knowledge of data pipelines, ETL processes, and data integration best practices is a plus.
• Ability to work independently, manage multiple tasks, and meet deadlines in a fast-paced environment.

Technical Skills (Preferred):

• Advanced SQL skills (window functions, stored procedures, etc.)
• Proficiency with AWS QuickSight, Tableau, or other visualization tools
• Basic Python scripting experience
• Data modeling and ETL process knowledge
• Familiarity with cloud-based data storage and processing (e.g., Amazon Redshift, S3, etc.)
• Knowledge of data version control tools (e.g., Git)
• Strong experience with data analysis techniques and statistical methods

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.