Data Analyst

apartmentAkhile Management and Consulting placePretoria calendar_month 

The Opportunity

We have an exciting opportunity for a top-performing Data Analyst to join our team. In this role, you will leverage data to drive strategic business decisions and gain practical experience with cutting-edge data practices. This is a chance to grow your skills while contributing to projects that matter.

What Youll Do (Key Responsibilities)

Analysis & Reporting:

  • Analyze large, complex datasets to identify trends, patterns, and actionable insights that inform business strategy.
  • Develop, maintain, and enhance interactive dashboards, reports, and data visualizations to communicate findings to stakeholders effectively.
  • Manage and optimize data pipelines to ensure the integrity and availability of data for analysis.
  • Work closely with developer teams to support data integration and automation processes.
  • Utilize Azure cloud services for efficient data storage, processing, and analysis.
  • Employ statistical tools and programming languages like R and Python to conduct complex analyses.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Assist in the development and implementation of predictive models and algorithms.
  • Present analytical findings and strategic recommendations clearly and concisely to non-technical audiences.
  • Ensure all data practices comply with company policies and industry standards for security and integrity.
  • A completed Bachelors degree or current enrollment in a postgraduate program in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Strong programming proficiency in Python and R.
  • A solid understanding of basic data analysis techniques and statistical methodologies.
  • Excellent communication skills, with the ability to explain complex data to various stakeholders in an understandable way.
  • Previous internship or project experience in data analysis or a related technical field.
  • Familiarity with cloud services, specifically Azure.
  • Experience with data visualization tools (e.g., Power BI, Tableau).
  • A foundational understanding of machine learning concepts and algorithms.

Technical Collaboration:

  • Manage and optimize data pipelines to ensure the integrity and availability of data for analysis.
  • Work closely with developer teams to support data integration and automation processes.
  • Utilize Azure cloud services for efficient data storage, processing, and analysis.
  • Employ statistical tools and programming languages like R and Python to conduct complex analyses.

Strategy & Communication:

  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Assist in the development and implementation of predictive models and algorithms.
  • Present analytical findings and strategic recommendations clearly and concisely to non-technical audiences.
  • Ensure all data practices comply with company policies and industry standards for security and integrity.

What Youll Bring (Qualifications & Skills)

Required:

  • A completed Bachelors degree or current enrollment in a postgraduate program in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Strong programming proficiency in Python and R.
  • A solid understanding of basic data analysis techniques and statistical methodologies.
  • Excellent communication skills, with the ability to explain complex data to various stakeholders in an understandable way.

Preferred (Bonus Points):

  • Previous internship or project experience in data analysis or a related technical field.
  • Familiarity with cloud services, specifically Azure.
  • Experience with data visualization tools (e.g., Power BI, Tableau).
  • A foundational understanding of machine learning concepts and algorithms.

What we Offer:

  • A competitive market-related salary and benefits package.
  • An opportunity to be part of a dynamic and impactful team focused on innovation.
  • Valuable exposure to cutting-edge data practices in a forward-thinking organisation.
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