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Data Analyst

1 day ago10 views
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General Details
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description
Were looking for a highly experienced and technically adept Data Analyst who can interpret complex datasets, generate meaningful business insights, and contribute to technical solution development. The role requires strong knowledge of data architecture, system design, and AI principles, along with the ability to convert intricate information into practical, intelligence-driven recommendations. The ideal candidate is proactive, analytical, and confident working across diverse technologies and functional areas.

Key Responsibilities

  • Perform deep-dive analysis across diverse datasets to identify trends, anomalies, and business opportunities.
  • Translate business and project requirements into meaningful, actionable data solutions.
  • Respond to and manage multiple ad hoc reporting requests with accuracy and clarity.
  • Understand end-to-end data flows across source systems, transformation layers, and reporting outputs.
  • Design and maintain scalable data models to support analytics and reporting needs.
  • Collaborate closely with stakeholders to convert business needs into technical specifications and reporting frameworks.
  • Develop and optimize data pipelines and integrations using modern development practices.
  • Work with enterprise databases such as IBM DB2, Oracle, Netezza (NZ), and Microsoft SQL Server to extract, transform, and analyze data.
  • Support AI/ML initiatives through data preparation and collaboration on model development and deployment.
  • Independently manage workload, priorities, and deliverables to ensure timely, high-quality outputs.
  • Document findings, methodologies, and data logic clearly for technical and non-technical audiences.
  • Utilize advanced MS Excel capabilities for data manipulation, analysis, and reporting.
  • Build dashboards and visual reports using Power BI to support business decision-making.

Required Skills & Experience

  • 8+ years of experience across data analytics, software development, and systems architecture.
  • Strong proficiency in SQL, Python, and/or R.
  • Expertise in enterprise database platforms: DB2, Oracle, Netezza (NZ), SQL Server.
  • Solid understanding of data modelling, ETL processes, and system design principles.
  • Experience working with cloud platforms such as Azure, AWS, or GCP.
  • Familiarity with AI/ML concepts, including model lifecycle and data readiness.
  • Proven ability to work independently and manage multiple priorities effectively.
  • Excellent communication skills, capable of bridging technical detail and business insight.
  • Advanced MS Excel skills (pivot tables, formulas, macros).
  • Experience with Power BI for data visualization and reporting.

Preferred Qualifications

  • Degree in Computer Science, Data Sci
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Executive Placements
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