Business Intelligence Analyst

Our client is a leading retailer in the established luxury time pieces industry. They have a presence of 50 boutiques in twelve key cities across the Asia Pacific region.

Responsibilities

Reporting:

• Develop an in-depth understanding of the business, gather and document reporting requirements for both static reports and interactive dashboards

• Work closely with business stakeholders to make sure data definitions and technical logic specifications align with business requirements

• Build/Improve automated workflows and data checks to provide smooth running, data integrity, accurate reporting and ensuring consistency of information across reports

Financial Modelling and tools for decision making:

• Identify relevant data sources to feed data models, source and prepare data

• Document test plan, test cases, test scripts and perform QA activities

• Share actionable insights with the management team through both ad-hoc reporting and building dashboards
  

• Analyze large and complex data sets with the ability to draw conclusions and provide meaningful insights to stakeholders

• Recommend best practices on BI tools, where to find data, troubleshooting
  

Systems:

• Perform routine maintenance
  

• Maintain user guides and release notes up to date

• Perform upgrade of the systems and applications to the new versions

• Create/update technical documentation for database/ETL/reports

Requirements

• 5+ years of experience in business intelligence development and data analysis

• Experience with/understanding of OLAP (Online Analytical Processing)

• Experience with/understanding of predictive modelling (R, Python)

• Experience modelling and designing relational DBs, star schemas and cubes

• Experience/knowledge of luxury retail industries

• Experience in analyzing data, building segmentation and performance insights

• Expert working knowledge on SQL and R to perform data querying and building data models

• Fully proficient in conducting data analysis

• Exceptional visualization skills using Tableau, Qlik view or other relevant visualization tools

• Good knowledge of the following functional areas: finance management, customer relationships and sales and logistics operations

• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)

• Advanced Excel skills

• Business acumen and understanding of business implications of data for decisions

• Business mind-set to ask the right questions of the data to extract meaningful insights that will help on performance on company strategy

What's next?

If you're interested in this role, click Apply To Position or drop an email to [email protected]

Edwin Phee
Recruitment Consultant
EA Personnel Number: R22107031
EA License Number: 20C0292