Padmi

Innefu Labs - Senior Data Analyst

Delhi NCRPosted 2 months ago
Data Science And StatisticsSeniorFull Time; Regular
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Job Description : Senior Data Analyst. Role Overview : We are looking for a Senior Data Analyst who can work with structured, semi-structured, and unstructured data to deliver high-quality insights that support business decision-making. The ideal candidate will have strong experience in ETL processes, data augmentation, and data normalization, along with advanced analytical and stakeholder management skills. Key Responsibilities : - Work closely with business stakeholders to gather and analyze requirements, and assist tech team to translate them into effective data models, ETL pipelines, and analytics solutions. - Design, build, and maintain end-to-end data pipelines handling structured, semi-structured, and unstructured data, ensuring data accuracy, performance, and scalability. - Perform data augmentation and normalization to enhance data usability, consistency, and analytical value. - Analyze business processes and data trends to generate insights, recommendations, and optimization opportunities. - Develop, optimize, and maintain complex SQL queries and data transformations to support reporting and decision-making. - Create dashboards, reports, and analytical data views aligned with defined business KPIs. - Ensure high standards of data quality, governance, documentation, and compliance across all data assets. - Collaborate with engineering, product, and leadership teams in an agile, fast-paced environment. Required Skills & Qualifications : - Strong proficiency in SQL and advanced data analysis techniques. - Hands-on experience with ETL/ELT pipelines, data modeling, and data normalization practices. - Experience working with structured, semi-structured, and unstructured data sources. - Practical experience with modern data warehouses (Snowflake, Redshift, BigQuery, etc.) - Experience with BI and visualization tools (Power BI, Tableau, Looker, etc.) - Strong ability to translate business requirements into scalable and efficient data solutions. - Excellent communication, analytical, and stakeholder management skills. Job Description : Senior Data Analyst. Role Overview : We are looking for a Senior Data Analyst who can work with structured, semi-structured, and unstructured data to deliver high-quality insights that support business decision-making. The ideal candidate will have strong experience in ETL processes, data augmentation, and data normalization, along with advanced analytical and stakeholder management skills. Key Responsibilities : - Work closely with business stakeholders to gather and analyze requirements, and assist tech team to translate them into effective data models, ETL pipelines, and analytics solutions. - Design, build, and maintain end-to-end data pipelines handling structured, semi-structured, and unstructured data, ensuring data accuracy, performance, and scalability. - Perform data augmentation and normalization to enhance data usability, consistency, and analytical value. - Analyze business processes and data trends to generate insights, recommendations, and optimization opportunities. - Develop, optimize, and maintain complex SQL queries and data transformations to support reporting and decision-making. - Create dashboards, reports, and analytical data views aligned with defined business KPIs. - Ensure high standards of data quality, governance, documentation, and compliance across all data assets. - Collaborate with engineering, product, and leadership teams in an agile, fast-paced environment. Required Skills & Qualifications : - Strong proficiency in SQL and advanced data analysis techniques. - Hands-on experience with ETL/ELT pipelines, data modeling, and data normalization practices. - Experience working with structured, semi-structured, and unstructured data sources. - Practical experience with modern data warehouses (Snowflake, Redshift, BigQuery, etc.) - Experience with BI and visualization tools (Power BI, Tableau, Looker, etc.) - Strong ability to translate business requirements into scalable and efficient data solutions. - Excellent communication, analytical, and stakeholder management skills.

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