Data Analyst (Databricks & Power BI)

Posted 2 Days Ago
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Sandton, City of Johannesburg, Gauteng, ZAF
In-Office
Mid level
Information Technology • Pet • Professional Services
The Role
Design and maintain Power BI dashboards, analyze business data, work with Databricks and cloud data platforms, support data engineering and governance, deliver actionable insights to stakeholders, and contribute to GenAI and advanced analytics initiatives.
Summary Generated by Built In

Our client is seeking experienced Data Analysts with Databricks exposure to support a high-impact data and analytics initiative. The successful candidates will work alongside the client's existing engineering team and play a key role in delivering actionable business insights through dashboard development, analytics, and cloud-based data solutions.

The role requires individuals who can comfortably operate in both technical and business environments, translating complex data into meaningful insights for business stakeholders, including executive leadership.



Requirements
Key Responsibilities
  • Design, develop, and maintain interactive dashboards and reports using Power BI.
  • Analyse business and operational data to identify trends, patterns, and opportunities for improvement.
  • Work with cloud-based data platforms, particularly Databricks, to access, transform, and analyse data.
  • Collaborate with the client's Data Engineering team to support data integration and pipeline initiatives.
  • Support data governance, quality, security, and compliance requirements.
  • Assist in implementing analytics best practices, standards, and reporting frameworks across business divisions.
  • Provide meaningful insights and recommendations to support strategic decision-making.
  • Engage with senior stakeholders and executives to communicate findings and project progress.
  • Contribute to GenAI and advanced analytics initiatives where applicable.
  • Ensure successful delivery of project outcomes within agreed timelines and quality standards.
Required Skills & Experience
Essential
  • Proven experience as a Data Analyst.
  • Strong experience with Power BI dashboard and report development.
  • Exposure to Databricks and cloud-based data environments.
  • Strong SQL skills.
  • Experience working with data models, datasets, and reporting frameworks.
  • Understanding of ETL/ELT processes and data engineering concepts.
  • Experience working in Agile delivery environments.
  • Ability to interpret business requirements and translate them into analytical solutions.
  • Strong stakeholder management and communication skills.
Preferred
  • Experience with:
    • Azure Data Services
    • PySpark
    • Data Lakes / Lakehouse environments
    • Data Governance and Data Quality frameworks
    • Generative AI or AI-enabled analytics solutions
  • Experience within:
    • Hospitality
    • Gaming
    • Entertainment
    • Retail
    • Financial Services
Key Competencies
  • Strong analytical and problem-solving abilities.
  • Excellent verbal and written communication skills.
  • Ability to engage confidently with C-suite executives.
  • Attention to detail and commitment to quality.
  • Ability to manage project deliverables and outcomes.
  • Strong collaboration and teamwork skills.
  • Self-driven and capable of working in a fast-paced environment.
Project Structure

The engagement will consist of three phases:

  • Phase 1: One Data Analyst allocated full-time.
  • Phase 2 & 3: Two Data Analysts allocated full-time.

Resources will be deployed at 8 hours per day for the duration of the project and will provide expertise in:

  • Data Analysis
  • Dashboard Development
  • Databricks-enabled Analytics
  • Cloud Data Engineering Support
  • Data Governance & Security
  • GenAI Support Initiatives
  • Best Practice Implementation

Working closely with the Senior Data Engineer, the consultants will help establish standards, improve reporting capabilities, and deliver high-quality analytics solutions across multiple business divisions.



Skills Required

  • Proven experience as a Data Analyst.
  • Strong experience with Power BI dashboard and report development.
  • Exposure to Databricks and cloud-based data environments.
  • Strong SQL skills.
  • Experience working with data models, datasets, and reporting frameworks.
  • Understanding of ETL/ELT processes and data engineering concepts.
  • Experience working in Agile delivery environments.
  • Ability to interpret business requirements and translate them into analytical solutions.
  • Strong stakeholder management and communication skills.
  • Experience with Azure Data Services.
  • Experience with PySpark.
  • Experience with Data Lakes / Lakehouse environments.
  • Experience with Data Governance and Data Quality frameworks.
  • Experience with Generative AI or AI-enabled analytics solutions.
  • Industry experience in Hospitality, Gaming, Entertainment, Retail, or Financial Services.
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The Company
22 Employees
Year Founded: 2013

What We Do

Blue Pearl is a market-leading CLOUD Solutions developer with extensive knowledge and insight into the latest technologies, standardised processes, advanced technical capabilities and consulting processes available, ensuring wholistic success for our clientele. We offer professional consulting to compliment your business strategy and overall management and make it our priority to add value to any business by listening, analysing and creating a conducive solution that will empower our client. We implement a Data Analysis Process that includes inspecting, cleansing, transforming, and modelling data with the end-goal of discovering useful information, informing conclusions, and relevant information to support your decision-making. Your business cannot afford not to engage with us, allowing our data analysis to play a role in making your business decisions more scientific and helping your business achieve effective operation. Blue Pearl’s team of experts include BI strategists, BI analysts, Data Warehouse Architects, Data Scientists, Implementation and Development experts. With the use of BI, Analytics and Big Data, we effectively partner with our customers on their mission to achieve a competitive business advantage and real ROI from the structured information we collect.

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