Data Business Analyst

SUMMARY:
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POSITION INFO:

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.