Data Analyst

WHAT WE OFFER Competitive Salary Packages Professional Development Opportunities Hybrid Work Setup Equipment Provided Day 1 HMO Life Insurance POSITION OVERVIEW The ideal candidate should have a flexible and agile mindset as he will be confronted with a lot of topics within Payreto.

He / She needs to have innate curiosity and display ability, and passion to learn complex ideas and various tools / systems to pull data from and create meaningful insights and reports either for Payreto or its clients.

Despite being an entry level position, the candidate will be expected to display ownership of work and build reports from scratch and analyze big data of clients.

The opportunity is for candidates who would like to gain exposure and experience with creating insights or analytics for different units within Payreto and for financial services clients of Payreto outside of the Philippines.

WHAT WILL YOU DO?

Data Analysis and Reporting Pull data from multiple data sources, clean and process raw data Ensure data integrity by making sure that data matches between different tools (either of Payreto or the client) like the backend tool and compliance tools.

Gather statistical insights and patterns about the data (i.e.

patterns in transactions and the client’s partners.

Ex.

Average transaction size per client, per corridor, etc.).

Visualize data reports through dashboards like Google DataStudio, Power BI or other data visualization tools.

Prepare and send regular reports to Payreto or client’s partners.

Detect abnormal / suspicious spikes / trends in the data and notify Payreto units or client representatives (i.e.

spikes in transactions) to enable Payreto and Client’s Management team to take corrective action.

Create, develop and design automated reports based on existing data.

Identify trends and patterns through statistical interpolation or extrapolation.

Provide insights and analysis on the best course of action based on the data for a given time period through correlation or providing multivariate analysis.

Analyze complex Data issues that go beyond each Payreto unit with the goal of providing solutions.

Support different Payreto units in their decision making by providing data backed insights.

Business Intelligence and Data Science Provide relevant insights on the big data collected / analyzed.

Use tools such as python or R in creating programs that yield efficiency, automation and take on machine learning projects such as Natural Language Processing (NLP), Cluster Analysis, etc.

Become a promoter and advocate of machine learning / data science projects of the Business Development team.

Stakeholder Management / Engagement Explain and communicate work properly to all internal / external (client) stakeholders; Ask questions relevant to the output required to produce meaningful insights; Set proper expectations and communicate challenges in delivering the output.

Ad-hoc Assist in other ad-hoc topics and projects as assigned by immediate supervisor.

WHAT SHOULD YOU HAVE?

Ideally with Bachelor’s degree in Business, Finance, Economics, Mathematics, Informatics, Econometrics, Computer / Data Science, Information Management or Statistics.

Has good academic background – consistently in dean’s list.

Experienced in developing reports and dashboards (either in Google Sheets or Google Data Studio, Excel, Power BI or other data visualization tools).

Skilled with the following : Python or R, VBA, Google Scripts.

Must have advanced proficiency in MS Office Suite, experience in G Suite (Google) is a plus.

An excellent communicator and able to build bridges between different stakeholders.

Outstanding cognitive, comprehension, and strong analytical skills.

SHIFT SCHEDULE MID-SHIFT FLEXI Subject to change depending on business needs.

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