Job Description

Responsibilities

• Oversee the implementation of data analytics strategy for a client organization, and develop new service offerings
• Client-facing interaction including providing analyses, recommendations, presentations and advice to clients
• Lead the day-to-day activities of the delivery teams through the developing, establishing and maintaining project management standards and procedures. Adapts existing methods and procedures to create possible alternative solutions to moderately complex problems
• Lead interdisciplinary teams that combine technical, business and data science competencies that deliver work in waterfall or agile software development lifecycle methodologies
• Understands the strategic direction set by senior management as it relates to team goals
• Uses considerable judgment to determine solution and seeks guidance on complex problems
• Manage the timely reporting of data analysis outcomes and effectively communicates findings, insights and recommendations to business leaders using data metrics on top of standard project management measures such as data quality and model accuracy
• Oversee team management including budgets, forecasting, work allocations and staffing
• Drive effective performance management practices within the department in accordance with organization\'s policies and procedures

Requirements

• Bachelor\'s Degree in related field; strong preference for fields of study in the engineering, computer science, statistics or analytics
• More than 2 years of experience leading an Analytics consulting team
• More than 5 years of experience implementing a broad range of Analytics/Business Intelligence projects such as: i) Data Governance and Management ii) visualizing KPIs on business dashboards iii) applying advanced analytics/data science techniques to realize business values
• Hands-on experience with one or more of the following Analytics technology stacks as well as familiarity with a broad range of solutions for visualization, advanced analytics, data ingestion/transformation, storage and hosting and willingness to learn new ones on the job.
• Data Management & Storage: Informatica, Oracle Data Warehousing, IBM InfoSphere, Microsoft SQL Server, Hortonworks Data Platform, Cloudera, SAS
• Data Visualisation: Tableau, Qlik, Microsoft PowerBI, Oracle Business Intelligence Enterprise, IBM Cognos, MicroStrategy, SAS etc
• Statistical/Data Science Tools: SPSS, R, Python, Anaconda distributions, Jupyter
• Familiarity with GDPR, PDPA will be an advantage.
• Project management certifications such as PMP, Agile, ITIL.

Shortlisted candidates will be offered a 1 Year Agency Contract employment.

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