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 analyticalsolutions.
Experience in handling large volumes of data across diverse sources.Excellent communication and stakeholder management skills.Ability to communicate effectively with non-technical business usersKnowledge in operational processes in chips, boards, systems, and serverswith a view of the data landscape.
Key Responsibilities :
The ideal candidate will be responsible for gathering and analyzingbusiness 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 andreporting requirements.
Analyze and interpret business needs to translate them into technical datarequirements.
Perform data mapping between source systems and business processes toensure accurate reporting and analytics.
Develop, optimize, and maintain SQL queries to extract, transform, andanalyze data from various sources.
Validate data outputs and ensure alignment with business expectations.Create clear and insightful reports, dashboards, and visualizations tosupport decision-making.
Work closely with data engineers, business analysts, and business users toensure data quality and consistency.
Participate in data-related project planning and contribute to the design ofanalytics solutions.
Identify data issues and collaborate with stakeholders to resolve themproactively.