Business Analyst
Summary
Puresoftware is hiring an on-site Business Analyst on Hong Kong Island to gather and document business requirements, analyze large datasets, build reports/dashboards and KPIs, run gap analyses and UAT. Core stack: advanced SQL, BI tools (Power BI/Tableau/Qlik Sense), Excel, data warehousing, Agile/Scrum; Python/R and cloud knowledge are a plus.
Key Responsibilities
Collaborate with business stakeholders to understand and document business requirements, processes, and objectives.
Translate business requirements into functional specifications, data requirements, and analytical solutions.
Analyze large datasets to identify trends, patterns, risks, and business opportunities.
Develop and maintain reports, dashboards, and KPIs using BI tools.
Perform data validation, data quality assessments, and root cause analysis.
Create business process workflows, gap analyses, and recommendations for process improvements.
Work closely with Data Engineering, Product, Operations, and Technology teams to ensure successful solution delivery.
Support data governance initiatives, including data definitions, lineage, and quality standards.
Prepare business cases, impact assessments, user stories, and functional documentation.
Conduct UAT testing and ensure delivered solutions meet business expectations.
Present findings and recommendations to senior leadership and key stakeholders.
Required Skills & Qualifications
Bachelor's degree in Business Administration, Information Systems, Computer Science, Statistics, or related field.
4+ years of experience as a Business Analyst with strong exposure to data analysis.
Advanced SQL skills for data extraction, transformation, and analysis.
Experience with BI and visualization tools such as Power BI, Tableau, or Qlik Sense.
Strong knowledge of data modeling, data warehousing, and relational databases.
Experience working with Agile/Scrum methodologies.
Proficiency in Excel (Pivot Tables, Power Query, Advanced Formulas).
Strong analytical, problem-solving, and stakeholder management skills.
Experience creating BRDs, FRDs, user stories, process maps, and requirement documents.
Preferred Qualifications
Experience with Python or R for data analysis.
Knowledge of cloud platforms such as Azure, AWS, or GCP.
Experience in Insurance, Banking, Healthcare, Retail, or other data-intensive domains.
Exposure to ETL processes and data governance frameworks.
Certifications such as:
CBAP (Certified Business Analysis Professional)
PMI-PBA
Microsoft Power BI Certification
Technical Skills
SQL
Power BI / Tableau
Excel (Advanced)
Data Analysis & Reporting
Data Warehousing Concepts
UAT & Requirement Gathering
Agile/Scrum
Python (Preferred)
Key Competencies
Business Analysis
Data Storytelling
Stakeholder Management
Critical Thinking
Problem Solving
Communication & Presentation Skills
Process Improvement