H+ Data BA (OLD WPN )

Job Description:

The DataLiterate Business Analyst will play a pivotal role in transforming complex largescale data into meaningful insights clear visual narratives and actionable business requirements. This role sits at the intersection of data analysis business problemsolving and data product development. Youll work closely with data engineers product teams and senior stakeholders to ensure that data is understood trusted and used to drive strategic decisions.

• Perform extensive data manipulation cleansing and transformation across large and complex datasets.
• Analyse structured and unstructured data to identify patterns trends anomalies and root causes.
• Apply statistical and analytical techniques to validate findings and support evidencebased decisionmaking.
• Investigate data quality issues quantify their impact and support remediation planning.

• Develop compelling data visualisations dashboards and graphical outputs using tools such as Power BI Tableau or similar.
• Translate analytical findings into clear executivelevel reporting that supports strategic conversations and decisionmaking.
• Present insights in a way that is accessible to both technical and nontechnical audiences.

• Convert analytical insights into wellstructured business and functional requirements for data products data models and reporting solutions.
• Collaborate with data engineering and architecture teams to shape data pipelines data models and metadata requirements.
• Define acceptance criteria user stories and process flows that reflect the needs uncovered through data analysis.
• Support the design and prioritisation of data quality remediation activities ensuring alignment with business value.

• Act as a bridge between business stakeholders and technical teams ensuring clarity alignment and shared understanding.
• Facilitate workshops discovery sessions and data deepdives to uncover business needs and datadriven opportunities.
• Communicate complex data concepts in a clear concise and influential manner.

• Strong proficiency in data manipulation using SQL Python Excel or similar tools.
• Demonstrated ability to work with large complex datasets and derive meaningful insights.
• Advanced data visualisation skills with experience producing executiveready dashboards and reports.
• Proven experience translating analytical findings into business requirements for data products or datadriven solutions.
• Solid understanding of data models data architecture concepts and data quality principles.

Excellent communication skills with the ability to influence and challenge constructively.

Basic Qualifications:
Bachelors degree in a relevant field or equivalent combination of education and experience
Typically 7 years of relevant work experience in industry with a minimum of 3 years in a similar role
Proven experience in infrastructure technology
Proficiencies in data management
A continuous learner who stays abreast with industry knowledge and technology

Other Qualifications:
An advanced degree in a relevant field is a plus
Relevant certifications such as ITIL or Certified ScrumMaster (CSM) are a plus

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