Senior Data Analyst

We are looking for a detail-oriented and technically strong Data Analyst to join an exciting project to design and deliver a modern data platform supporting a supply chain solution for a leading technology company. This role requires a combination of strong data analysis skills, SQL programming skills and the ability to bridge the gap between business needs and data solutions. Required Skills: ● 10+ years of experience in data analytics and business analytics. ● Technical expertise regarding data models, database design development, data analytics and segmentation techniques. ● Experienced in SQL, Power BI and Tableau. ● Strong hands-on experience with SQL (joins, CTEs, subqueries, optimization). (must clear Hacker rank coding test). ● Proven ability to translate complex business questions into analytical solutions. ● Experience in handling large volumes of data across diverse sources. ● Excellent communication and stakeholder management skills. ● Ability to communicate effectively with non-technical business users ● Knowledge in operational processes in chips, boards, systems, and servers with a view of the data landscape. Key Responsibilities: ● The ideal candidate will be responsible for gathering and analyzing business requirements, mapping data to business processes, writing SQL queries to extract and transform data, and engaging with stakeholders to deliver actionable insights. ● Collaborate with business stakeholders to gather and document data and reporting requirements. ● Analyze and interpret business needs to translate them into technical data requirements. ● Perform data mapping between source systems and business processes to ensure accurate reporting and analytics. ● Develop, optimize, and maintain SQL queries to extract, transform, and analyze data from various sources. ● Validate data outputs and ensure alignment with business expectations. ● Create clear and insightful reports, dashboards, and visualizations to support decision-making. ● Work closely with data engineers, business analysts, and business users to ensure data quality and consistency. ● Participate in data-related project planning and contribute to the design of analytics solutions. ● Identify data issues and collaborate with stakeholders to resolve them proactively.

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