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Senior Analyst - Big Data & Analytics

Closing: Nov 23, 2022

This position has expired

Published: Nov 21, 2022 (19 days ago)

Job Requirements

Education:

Work experience:

Language skills:

Job Summary

Contract Type:

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Education:

  • Bachelor’s Degree in Computer Science, Information Technology, Data Analytics/Data science.
  • Relevant certification / accreditation as required for role

Experience:

  • 3 years’ experience in relevant sector/industry/ area of specialization
  • Expertise in data analysis and experience with at least one programming language
  • Experience developing and maintaining data warehouses in big data solutions
  • Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space
  • Database development experience y and experience with a variety of relational, database technologies
  • Conceptual knowledge of data and analytics, such as dimensional modeling, reporting tools, data governance, data warehousing, structured and unstructured data.
  • Big Data Development experience
  • Deep understanding of data ingestion techniques and analytics processes to enable real-time BI
  • Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

Skills/Competencies:

  • Analytical skills
  • Communication skills
  • Conflict management skills
  • Flexibility – the ability to adapt and change in the light of changing circumstances / new information. Negotiation skills
  • Self-motivated with strong problem-solving and learning skills
  • Flexibility to changes in work direction as the project develops
  • Excellent communication, listening, and influencing skills

Behavioural attributes:

  • Ability to deal with high levels of ambiguity.
  • Analytical
  • Assertive
  • Attention to detail.
  • Communication
  • Conceptual thinking
  • Consultative approach
  • Continuous improvement philosophy
  • Decision making
  • Emotional intelligence
  • Integrity
  • Planning and organising
  • Quality assurance
  • Results orientated.
  • Solution providing
  • Strategic thinking


Responsibilities

Education:

  • Bachelor’s Degree in Computer Science, Information Technology, Data Analytics/Data science.
  • Relevant certification / accreditation as required for role

Experience:

  • 3 years’ experience in relevant sector/industry/ area of specialization
  • Expertise in data analysis and experience with at least one programming language
  • Experience developing and maintaining data warehouses in big data solutions
  • Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space
  • Database development experience y and experience with a variety of relational, database technologies
  • Conceptual knowledge of data and analytics, such as dimensional modeling, reporting tools, data governance, data warehousing, structured and unstructured data.
  • Big Data Development experience
  • Deep understanding of data ingestion techniques and analytics processes to enable real-time BI
  • Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

Skills/Competencies:

  • Analytical skills
  • Communication skills
  • Conflict management skills
  • Flexibility – the ability to adapt and change in the light of changing circumstances / new information. Negotiation skills
  • Self-motivated with strong problem-solving and learning skills
  • Flexibility to changes in work direction as the project develops
  • Excellent communication, listening, and influencing skills

Behavioural attributes:

  • Ability to deal with high levels of ambiguity.
  • Analytical
  • Assertive
  • Attention to detail.
  • Communication
  • Conceptual thinking
  • Consultative approach
  • Continuous improvement philosophy
  • Decision making
  • Emotional intelligence
  • Integrity
  • Planning and organising
  • Quality assurance
  • Results orientated.
  • Solution providing
  • Strategic thinking


  • Design, develop, optimize, and maintain data architecture and pipelines that adhere to principles and business goals
  • Solve complex data problems to deliver insights that helps the organization’s business to achieve their goals
  • Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve the organization’s productivity as a team
  • Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
  • Understand the customer/business needs, system functionality and business processes to maintain the source data and develop the data design


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