Business Intelligence Analyst

About GoTyme

GoTyme is a joint venture between the Gokongwei Group, one of the biggest conglomerates in the Philippines, and the Singapore-headquartered digital banking group Tyme. This venture combines the trusted Gokongwei brand, customer base, and distribution ecosystem with Tyme’s globally proven digital banking technology and hands-on experience building South Africa’s leading digital bank, TymeBank, one of the fastest-growing digital banks in the world today.

At GoTyme, we have embarked on a journey to democratize financial services and bring next-level banking to the Philippines. We seek individuals who share our belief that the game is worth changing, to join our growing team of GoTymers as we build, launch, and scale a bank that empowers all Filipinos to navigate a path to financial freedom.

About the role

Looking for a go-getting Business Intelligence Senior Analyst to join our team! You will form part of a dynamic team who is obsessed with data and analyzing it using various big data technologies and platforms. Combined with the most appropriate visualizations, you will be converting data into valuable and actionable insights to guide business tactics, strategic approach, and next best actions, but to do that with a customer-centric mindset on how we partner with our stakeholders to optimize our mutual engagement with each other.

• Engage with different business units and ensure they are empowered by having an end-to-end understanding of their respective areas through their data insights, data extracts, and dashboards aligned to their requirements
• Work with unstructured and structured data. Pull your own data, structure it, clean it, and understand the human and financial behaviors it represents.
• Deliver ad hoc consumer insight projects that inform decision-making for your stakeholders.
• Collaborate with the internal teams to drive continuous improvement in processes, services, self-service, and further discovery.
• Interpret and analyze data from multiple sources, providing key analytics and visualizations and/or reports.
• Proactively provide actionable recommendations based on analysis results across various stakeholders and teams.
• Effectively use business data from multiple sources to craft a story and guide activities and decisions.
• Work closely with the data engineering team to ensure that those reports and extracts which require intraday or regular and frequent updates are scheduled to run as expected.

Must haves

• Bachelor’s degree or higher and/or equivalent qualification in either mathematics, statistics, computer science, physics, data science or engineering
• 3-5 years of relevant business intelligence experience in a data-driven and analytics environment.
• Data visualization experience using tools like Tableau, PowerBI, or something similar.
• First-hand experience in working with big data and querying databases, both NoSQL and SQL, like Postgres, MySQL, MS SQL, HBase, MongoDB, etc
• Practical experience in working with data mining/predictive modeling tools such as SQL, R, SAS, Python, etc.
• Previous experience working with operational teams will be a benefit as it helps in understanding the pace of work and expected delivery for various queries and investigations.
• Excellent communication skills and willingness to understand your stakeholders.
• Previous experience in banking or finance is a plus but not required.

Core Competencies

• Strong analytical thinking and mad data skills
• Data wrangling and crafting outputs in line with expectations and ready for use
• Proficient and effective programming ability with a view to code and comment in such a way that peers can review and follow the logic used
• Curious nature spotting patterns and trends and drawing inferences and conclusions.
• An entrepreneurial approach involves taking ownership of your work and tasks.
• Applying sound judgment when addressing commercial issues
• Experience in coordinating activities across multi-functional and diverse teams
• Documentation writing and drawing process flows
• Ensuring code is versioned by making use of code versioning tools like git
• Summarising key takeaways from analysis and plan for the next steps
• Educate stakeholders on complex concepts and teach them how they can utilize the reports, dashboards, or raw extracts most appropriately
• Excellent work ethic: we like what we do and can work on what we like, and we do both quite well.
• Collaborative team player: we value transparency and maintain open communication lines.
• Grit and critical thinking: we do not easily give up unless it’s the correct course of action.
• Responsible autonomy: we own the stuff we work on, but we never work in silos.
• Drive to excel: we want you to improve us and to keep improving yourself.

About GoTyme

GoTyme is a joint venture between the Gokongwei Group, one of the biggest conglomerates in the Philippines, and the Singapore-headquartered digital banking group Tyme. This venture combines the trusted Gokongwei brand, customer base, and distribution ecosystem with Tyme’s globally proven digital banking technology and hands-on experience building South Africa’s leading digital bank, TymeBank, one of the fastest-growing digital banks in the world today.

At GoTyme, we have embarked on a journey to democratize financial services and bring next-level banking to the Philippines. We seek individuals who share our belief that the game is worth changing, to join our growing team of GoTymers as we build, launch, and scale a bank that empowers all Filipinos to navigate a path to financial freedom.

About the role

Looking for a go-getting Business Intelligence Senior Analyst to join our team! You will form part of a dynamic team who is obsessed with data and analyzing it using various big data technologies and platforms. Combined with the most appropriate visualizations, you will be converting data into valuable and actionable insights to guide business tactics, strategic approach, and next best actions, but to do that with a customer-centric mindset on how we partner with our stakeholders to optimize our mutual engagement with each other.

• Engage with different business units and ensure they are empowered by having an end-to-end understanding of their respective areas through their data insights, data extracts, and dashboards aligned to their requirements
• Work with unstructured and structured data. Pull your own data, structure it, clean it, and understand the human and financial behaviors it represents.
• Deliver ad hoc consumer insight projects that inform decision-making for your stakeholders.
• Collaborate with the internal teams to drive continuous improvement in processes, services, self-service, and further discovery.
• Interpret and analyze data from multiple sources, providing key analytics and visualizations and/or reports.
• Proactively provide actionable recommendations based on analysis results across various stakeholders and teams.
• Effectively use business data from multiple sources to craft a story and guide activities and decisions.
• Work closely with the data engineering team to ensure that those reports and extracts which require intraday or regular and frequent updates are scheduled to run as expected.

Must haves

• Bachelor’s degree or higher and/or equivalent qualification in either mathematics, statistics, computer science, physics, data science or engineering
• 3-5 years of relevant business intelligence experience in a data-driven and analytics environment.
• Data visualization experience using tools like Tableau, PowerBI, or something similar.
• First-hand experience in working with big data and querying databases, both NoSQL and SQL, like Postgres, MySQL, MS SQL, HBase, MongoDB, etc
• Practical experience in working with data mining/predictive modeling tools such as SQL, R, SAS, Python, etc.
• Previous experience working with operational teams will be a benefit as it helps in understanding the pace of work and expected delivery for various queries and investigations.
• Excellent communication skills and willingness to understand your stakeholders.
• Previous experience in banking or finance is a plus but not required.

Core Competencies

• Strong analytical thinking and mad data skills
• Data wrangling and crafting outputs in line with expectations and ready for use
• Proficient and effective programming ability with a view to code and comment in such a way that peers can review and follow the logic used
• Curious nature spotting patterns and trends and drawing inferences and conclusions.
• An entrepreneurial approach involves taking ownership of your work and tasks.
• Applying sound judgment when addressing commercial issues
• Experience in coordinating activities across multi-functional and diverse teams
• Documentation writing and drawing process flows
• Ensuring code is versioned by making use of code versioning tools like git
• Summarising key takeaways from analysis and plan for the next steps
• Educate stakeholders on complex concepts and teach them how they can utilize the reports, dashboards, or raw extracts most appropriately
• Excellent work ethic: we like what we do and can work on what we like, and we do both quite well.
• Collaborative team player: we value transparency and maintain open communication lines.
• Grit and critical thinking: we do not easily give up unless it’s the correct course of action.
• Responsible autonomy: we own the stuff we work on, but we never work in silos.
• Drive to excel: we want you to improve us and to keep improving yourself.