WOLA RECRUITMENT PTE. LTD.
Roles & Responsibilities
Job Summary:
We are looking for a skilled Data Analyst with strong experience in SQL, Power BI, and SSRS, who also brings some exposure to data engineering practices. This role will focus primarily (70%) on deriving business insights through data analytics and visualization, while contributing (30%) to building and optimizing backend data pipelines and warehouse solutions in support of AI and digital transformation initiatives. Key Responsibilities:
Design and develop dashboards, reports, and analytics solutions using Power BI and SSRS to support business decision-making. Collaborate with stakeholders to understand data needs and translate them into technical requirements. Extract, transform, and analyze large datasets using advanced SQL queries. Assist in developing and maintaining data pipelines and ETL workflows using SSIS for data warehouse support. Participate in initiatives related to AI transformation and data readiness for machine learning use cases. Perform ad-hoc analyses and present findings to business and technical stakeholders. Ensure data integrity, accuracy, and accessibility across reporting platforms. (Bonus) Support cloud migration or optimization activities for analytics workloads (e.g., Azure, AWS, or GCP). Requirements:
Proven experience in data analytics and business intelligence (Power BI, SSRS). Strong SQL skills for data querying, manipulation, and analysis. Experience with SSIS for data integration and ETL processes. Solid understanding of data warehouse concepts and structures. Ability to communicate complex data findings in a clear, business-friendly manner. Strong problem-solving skills and attention to detail. (Bonus) Exposure to cloud platforms (Azure, AWS, GCP) or AI/ML data preparation is a plus. Preferred Qualifications:
Bachelor’s degree in Data Science, Computer Science, Statistics, or related field. 5+ years of relevant work experience in data analysis and/or data engineering. EA License No: 23C1703 EA Personnel No: R1762582 EA Personnel Name: Wong Choo Sian, Jabez
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We are looking for a skilled Data Analyst with strong experience in SQL, Power BI, and SSRS, who also brings some exposure to data engineering practices. This role will focus primarily (70%) on deriving business insights through data analytics and visualization, while contributing (30%) to building and optimizing backend data pipelines and warehouse solutions in support of AI and digital transformation initiatives. Key Responsibilities:
Design and develop dashboards, reports, and analytics solutions using Power BI and SSRS to support business decision-making. Collaborate with stakeholders to understand data needs and translate them into technical requirements. Extract, transform, and analyze large datasets using advanced SQL queries. Assist in developing and maintaining data pipelines and ETL workflows using SSIS for data warehouse support. Participate in initiatives related to AI transformation and data readiness for machine learning use cases. Perform ad-hoc analyses and present findings to business and technical stakeholders. Ensure data integrity, accuracy, and accessibility across reporting platforms. (Bonus) Support cloud migration or optimization activities for analytics workloads (e.g., Azure, AWS, or GCP). Requirements:
Proven experience in data analytics and business intelligence (Power BI, SSRS). Strong SQL skills for data querying, manipulation, and analysis. Experience with SSIS for data integration and ETL processes. Solid understanding of data warehouse concepts and structures. Ability to communicate complex data findings in a clear, business-friendly manner. Strong problem-solving skills and attention to detail. (Bonus) Exposure to cloud platforms (Azure, AWS, GCP) or AI/ML data preparation is a plus. Preferred Qualifications:
Bachelor’s degree in Data Science, Computer Science, Statistics, or related field. 5+ years of relevant work experience in data analysis and/or data engineering. EA License No: 23C1703 EA Personnel No: R1762582 EA Personnel Name: Wong Choo Sian, Jabez
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