Data Business Analyst

PBT Group is seeking an experienced Data Business Analyst to join a dynamic team responsible for developing a leading-edge investment platform. The successful candidate will play a critical role in analysing and interpreting complex data sets, designing business models, and driving actionable insights to support strategic decision-making. This role offers the opportunity to contribute to groundbreaking data-driven solutions, optimising platform performance and customer experiences through innovative technologies and methodologies. Key Responsibilities Data Analysis and Interpretation: Conduct advanced data cleaning and wrangling to handle unstructured data from multiple sources. Analyse large, complex datasets using tools like SQL and Power BI to identify trends, patterns, and actionable insights. Draw relevant inferences and contextualise findings within a business framework to support decision-making processes. Business Modelling and Performance Analysis: Design and implement business performance models to achieve strategic objectives. Monitor and refine performance data to evaluate the effectiveness of implemented strategies. Identify patterns within complex datasets and collaborate with stakeholders to refine data-driven approaches. Data Visualisation and Storytelling: Develop interactive dashboards and reports using Power BI to provide actionable insights across business functions. Create visualisations to communicate patterns, trends, and business model results effectively. Data Quality Management: Implement and maintain data quality standards and procedures to ensure accuracy and consistency. Collaborate with stakeholders to address and resolve data quality issues. Stakeholder Communication and Collaboration: Engage with cross-functional teams, including product managers, developers, and financial experts, to design and implement data-driven solutions. Communicate insights and recommendations to stakeholders clearly and concisely, enabling data-driven decisions. Participate in data governance initiatives and provide training for stakeholders on dashboards and models created. Documentation and Process Improvement: Maintain and store all data processes, policies, and best practices in a centralised repository visible to the organisation. Ensure continuous improvement by staying abreast of industry trends and advocating for new technologies to drive business value. Skills and Tools Required Technical Skills: Advanced proficiency in SQL, Python, or R for data analysis and statistical modelling. Strong experience in Power BI for dashboard creation, data source management, and model design. Expertise in Snowflake, including building and maintaining Snowflake Views and implementing corresponding dataflows. Knowledge of Denodo, including creating and managing Data Virtualisation Views, metadata management, and data catalogues. Solid understanding of data modelling, visualisation techniques, and ETL processes. Familiarity with data protection regulations and privacy standards. Soft Skills: Strong communication and storytelling abilities to present complex findings clearly. Analytical and critical thinking with a focus on problem-solving. Confidence to engage with and present to senior leadership. Ability to work both independently and collaboratively in a team environment. Qualifications and Experience Qualifications: Bachelor’s degree in Finance, Investment Management, Information Management, Computer Science, or Business Management. Certification in data analytics or visualisation tools is advantageous. Experience: 10 years of experience in a Data Analytics environment, with at least: 5 years as a Data Analyst or Business Intelligence Specialist. 5 years of SQL experience. 5 years of Power BI experience. Experience in the Asset Management or Investment Platform industries is highly desirable. Proven track record in creating business/data models using complex and disparate data sets. Demonstrated ability to solve complex problems and effectively convey intricate findings. Exposure to other data visualisation tools is advantageous. Competencies Analytical Thinking: Ability to break down complex problems and draw meaningful insights. Customer Service: Committed to delivering high-quality, tailored solutions. Teamwork and Collaboration: Skilled at working across teams to achieve shared goals. Resilience and Adaptability: Maintains focus and balance under pressure. Leadership: Encourages innovation and leads change to drive organisational success. Trust and Integrity: Demonstrates sincerity and consistency in actions and communication.

Location: Johannesburg, ZA

Posted Date: 12/21/2024