Senior Data Analyst

As a Senior Data Analyst, you will be responsible for working with structured, semi-structured, and unstructured data to provide valuable insights that drive business decision-making. Your role will involve collaborating with business stakeholders to gather requirements, developing data models and analytics solutions, and ensuring data accuracy, performance, and scalability. Your key responsibilities will include: - Working closely with business stakeholders to analyze requirements and translate them into effective data models, ETL pipelines, and analytics solutions. - Designing, building, and maintaining end-to-end data pipelines for various data types, focusing on data accuracy, performance, and scalability. - Performing data augmentation and normalization to improve data usability, consistency, and analytical value. - Analyzing business processes and data trends to identify insights, recommendations, and optimization opportunities. - Developing, optimizing, and maintaining complex SQL queries and data transformations to support reporting and decision-making. - Creating dashboards, reports, and data views aligned with defined business KPIs. - Ensuring high standards of data quality, governance, documentation, and compliance across all data assets. - Collaborating 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 with structured, semi-structured, and unstructured data sources. - Practical experience with modern data warehouses such as Snowflake, Redshift, BigQuery, etc. - Familiarity with BI and visualization tools like Power BI, Tableau, Looker, etc. - Ability to translate business requirements into scalable and efficient data solutions. - Excellent communication, analytical, and stakeholder management skills. Please note that the additional details of the company were not provided in the job description. As a Senior Data Analyst, you will be responsible for working with structured, semi-structured, and unstructured data to provide valuable insights that drive business decision-making. Your role will involve collaborating with business stakeholders to gather requirements, developing data models and analytics solutions, and ensuring data accuracy, performance, and scalability. Your key responsibilities will include: - Working closely with business stakeholders to analyze requirements and translate them into effective data models, ETL pipelines, and analytics solutions. - Designing, building, and maintaining end-to-end data pipelines for various data types, focusing on data accuracy, performance, and scalability. - Performing data augmentation and normalization to improve data usability, consistency, and analytical value. - Analyzing business processes and data trends to identify insights, recommendations, and optimization opportunities. - Developing, optimizing, and maintaining complex SQL queries and data transformations to support reporting and decision-making. - Creating dashboards, reports, and data views aligned with defined business KPIs. - Ensuring high standards of data quality, governance, documentation, and compliance across all data assets. - Collaborating 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 with structured, semi-structured, and unstructured data sources. - Practical experience with modern data warehouses such as Snowflake, Redshift, BigQuery, etc. - Familiarity with BI and visualization tools like Power BI, Tableau, Looker, etc. - Ability to translate business requirements into scalable and efficient data solutions. - Excellent communication, analytical, and stakeholder management skills. Please note that the additional details of the company were not provided in the job description.