Job Openings Mid-level Data Analyst

About the job Mid-level Data Analyst

EMPLOYMENT TYPE:

Permanent

COMPANY:

A company specializing in KYC Solutions for Private markets.

LOCATION:

Cape Town (Hybrid working model)

DESCRIPTION OF POSITION:

  • Collaborate with business stakeholders to understand their objectives and determine how data can be used to achieve those goals.
  • Work closely with Data Engineering to ensure data accessibility, reliability, and quality for analysis purposes.
  • Design, build, and maintain dashboards and reports in Power BI, providing actionable insights to drive business decisions.
  • Perform ad-hoc analyses and data exploration to uncover hidden insights and opportunities.
  • Use SQL for complex data querying, manipulation, and analysis.
  • Leverage Azure services, including Azure Data Factory, to streamline data workflows and enhance analytics infrastructure.
  • Champion a data-driven culture, educating and training non-technical team members on data analytics best practices.
  • Stay abreast of industry trends, emerging tools, and technologies to continuously improve our data analytics capabilities.
  • Contribute to the development and execution of data governance and data quality standards.

KNOWLEDGE AND SKILLS:

  • Proficiency in Power BI for creating dynamic reports and dashboards.
  • Familiarity with Azure Data Services (e.g., Azure Data Factory, Azure SQL Database) 
  • Strong analytical skills, with the ability to interpret complex data, analyze results, and provide actionable insights.
  • Excellent communication and collaboration skills, with the ability to work effectively across different teams and with stakeholders at all levels.
  • Forward-thinking and innovative mindset, with a passion for leveraging data to drive business success.

QUALIFICATIONS REQUIRED:

Bachelors degree in Information Technology, Computer Science, Statistics, or a related field.

EXPERIENCE REQUIRED:

  • Proven experience in a data analyst role, with a strong portfolio of projects demonstrating your ability to turn data into insights.
  • Expertise in SQL 
  • Experience with database management and data modelling.
  • Familiarity with agile methodologies and experience working in an agile environment.

ADVANTAGEOUS SKILLS:

  • Experience with data science and machine learning tools and techniques is a plus.
  • Knowledge of additional analytics and data visualization tools (e.g., Tableau, Google Data Studio).

**Please note : If you have not heard from us within 2 weeks, please consider your application unsuccessful.