Founded in 2002 and headquartered in Hong Kong, The PURE Group is Asia’s leading premium lifestyle brand that includes PURE Yoga, PURE Fitness, PURE Pilates, PURE Nutrition, nood food, PURE Online and FUZE. PURE Group has locations in Hong Kong, Shanghai, Beijing, Singapore and New York.
PURE Yoga has a wide variety of yoga and meditation classes and private yoga programmes, including workshops with renowned teachers from all over the world.
PURE Fitness offers the industry’s best from around the globe, encompassing strength and cardio training in addition to dynamic group classes led by passionate world-class instructors.
PURE Pilates – elegant group Pilates training for redefining your form!
Together with nood food’s healthy-licious cuisine, PURE Nutrition’s tailored programmes as well as FUZE’s innovative small group training, the PURE Group is an integrated community dedicated to helping people lead a happier, balanced 360˚ lifestyle. The Group currently has over 100,000 clients and more than 2,000 employees.
Key Responsibilities
Analyze complex datasets to identify trends, patterns, and actionable insights that drive business performance.
Develop and maintain interactive dashboards and reports using
Power BI
to visualize key metrics and KPIs.
Write and optimize
SQL queries
to extract and manipulate data from various databases.
Support internal stakeholders with data analytics requests and ad-hoc reporting.
Collaborate with cross-functional teams to implement data-driven strategies for business growth.
Present findings and recommendations to stakeholders in a clear and concise manner.
Ensure data integrity and accuracy through regular audits and validation processes.
Requirements
Bachelor’s degree or above in
IT, Data Science, Information Systems, Statistics , or related field.
Minimum
3 years of experience
in data analytics.
Proficiency in MySQL and Power BI is a MUST.
Knowledge in
Python, VBA/MS Excel (Macro), Snowflake
is a plus.
Experience in development on
Azure Fabric, Data Factory, and Databricks
is a plus.
Strong understanding of
ETL design, data modeling, and data warehousing concepts.
Ability to work independently and collaboratively in a fast-paced environment.
Excellent command of both spoken and written
English and Chinese (including Mandarin).
Working Hours
Monday to Friday 9am-6pm
Application
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