Data Analyst

We have an exciting dayshift, Manila-based opportunity available for two (2) Data Analysts. Work from home or office-based – you choose!

When you join Yempo, you’ll receive the following fantastic benefits:

• Highly competitive salary – paid weekly!
• HMO enrollment on commencement
• Additional HMO dependents added each year of service
• 20 vacation days per year; 7 sick days
• Annual performance bonuses and incentives
• Annual salary reviews and increases
• Free cooked rice, snacks and hot drinks
• Company polo shirts provided
• Fantastic, bright and cheerful open-plan work environment
• Prestigious clients and highly professional and friendly co-workers

Our Client

Our client is a leading innovator and trusted marketplace for digital Gift Cards. They released Australia’s first eGift Card App in December 2015 and were first to market with IOS and Android. The company currently comprises a team of over 50 professionals and that group is still growing not only in Australia, but also in the Philippines, UK and US. Their client portfolio includes major buy now pay later operators like Zip and Afterpay as well as corporates like QBE, HSBC, Coca-Cola Amatil, and the like.

What differentiates this client is their care for their people – they are truly one team no matter what continent that team may be. Their values are Give Openness, Give Greatness, Give Magic and Care and they are taking their growth plans to the next level by having their people at the center of all they do. And on top of this, they provide opportunities for professional learning and growth.

Key Responsibilities:

As a Data Analyst, you will be responsible for gathering and interpreting data from across the business in order to support the organization’s decision-making process and help achieve its broader strategic goals. You will identify patterns and trends in complex datasets, share insights and recommendations with senior stakeholders, and maintain the data infrastructure that forms our analytics stack.

General Responsibilities

• Reporting on key business metrics to stakeholders from across the organisation (Product, Strategy, Marketing and Customer Care, to name a few).
• Identifying and interpreting trends or patterns in complex data sets.
• Cleaning and normalising data from core business applications (e.g. Segment, Braze)
• Presenting data-driven findings and recommendations back to the business in a clear and actionable format.
• Working directly with management teams to gather requirements, scope and prioritise analytics work, and provide regular status updates.
• Engaging with business stakeholders to understand and document user journeys, in order to design and implement product feature analyses.
• Knowing the right questions to ask different stakeholders to get to the real problems to solve (which might not always be what they start with).

Technical Responsibilities:

• Writing efficient, well-documented SQL code.
• Maintaining the infrastructure and tools that form our analytics stack.
• Creating and updating documentation for our analytics workflows and processes.
• Evaluating existing analytics processes for inefficiencies, problems, and inaccuracies, and identifying improvement opportunities.

Your Background

• Programming experience in Python and R
• Setting up and maintaining data pipelines – DBT and Talend Stitch
• SQL experience (we use Postgres 11.2 and AWS Redshift).
• Experience with Business Intelligence tools – Google Looker
• Marketing technology platforms – Twilio Segment and Google Analytics (GA4)
• Ability to analyse large datasets.
• Ability to write comprehensive reports.
• Strong verbal and written communication skills.
• An analytical mind and inclination for problem-solving.
• Attention to detail.
• Proficiency in data visualisation.
• Great understanding of spreadsheet tools (Microsoft Excel, Google Sheets).

Disclaimer for salary ranges. Yempo provides an indicative range of salary that we deem relevant for the advertised role. This may be adjusted for the skills and experience of the selected candidate.