Position: Data Analyst

Work Setup: Hybrid (2-3x a week)

Work Location: Taguig, BGC

GENERAL RESPONSIBILITIES:

 The Data Analyst is responsible for the collection, interpretation, and application of data. 

DUTIES AND RESPONSIBILITIES:   

• Develops and implements data analyses, leverages data collection systems and other strategies that optimize statistical efficiency and quality.  
• Prepare, analyze, and summarize various weekly, monthly, and periodic operational results for use by various key stakeholders, creating reports, dashboards, instructions, and flowcharts.
• Interprets data, analyze results using analytics, research methodologies, and statistical techniques
• Conducts a full lifecycle of analytics projects, including pulling, manipulating, and exporting data from project requirements documentation to design and execution.
• Evaluates key performance indicators, provides ongoing reports, and recommends business plan updates.
• Other job-related activities that may be assigned from time to time.

JOB SPECIFICATIONS: 

• Education –    Bachelor’s degree in Computer Science, Statistics, Mathematics, Business Management, and other related fields.
• Related Work Experience –  At least 3-5 years experience in data management and analysis
• Experience collecting, organizing, analyzing, and disseminating abundant information with accuracy
• Knowledge – knowledgeable and with working experience in the following:
• Dataset analytics, data management, and visualization using Excel, Google Sheets, SQL, Google Data Studio. Knowledge in Alibaba Cloud platform is an advantage.
• Skills – Must have the ability to identify improvement points within current operational processes and provide resolution options. 
• Must have the ability to perform data synthesis and data storytelling
• Must have the ability to write reports, present their findings, or translate the data into an understandable document.
• Must have exceptional verbal, written, and visual communication skills.
• Must have the willingness to explore and learn new tools that might possibly address operational inefficiencies and data inaccuracy.