An analytics-heavy role that promises stakeholder-facing impact through SQL-driven data consolidation, PySpark work, and mission-critical dashboards. It asks you to translate business pain points...
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An analytics-heavy role that promises stakeholder-facing impact through SQL-driven data consolidation, PySpark work, and mission-critical dashboards. It asks you to translate business pain points into analytics problems, become the banking domain SME, and stitch data from multiple sources into decision-ready views. Expect ad-hoc analyses, pre/post campaign evaluation, and in-campaign tracking, with a heavy emphasis on dashboard design over robust data pipelines. The requirements skew early-career: a bachelor's degree and up to four years' experience, with a preference for practical BI/marketing analytics exposure. The lack of explicit cloud, data governance, or production-data responsibilities is notable; this is less about scalable data platforms and more about quick insights and presentation. In a FinTech/FinBank context, the role stands out for domain exposure but risks immaturity in tooling breadth.
This role positions itself as the bridge between stakeholders and data, promising to translate needs into analytics problems, consolidate data from multiple sources into integrated views, and...
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This role positions itself as the bridge between stakeholders and data, promising to translate needs into analytics problems, consolidate data from multiple sources into integrated views, and deliver decision-ready dashboards with SQL and PySpark while supporting pre-, in-, and post-campaign tracking. It leans junior-friendly—open to fresh graduates up to four years’ experience—and values strong project management and communication. What stands out is the lean, hands-on stack: SQL, PySpark, and dashboards in a banking/FinTech context, with a preference for practical analytics over glitzy ML. The gaps are notable: no explicit data platform or governance details, no tooling beyond SQL/PySpark, and little clarity on production responsibilities or career progression. Banking work implies regulatory rigor and security demands; without specifics on architecture and reliability, expect a roll-your-sleeves-and-hope-for-the-best day-to-day.
Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.
Strategy & Analytics for Business Growth Senior Associate
@ jpmorganchase
US | 2025-12-27
This role involves supporting revenue-growth initiatives through advanced analytics and market research, primarily targeting commercial banking clients with a focus on data-driven decision-making....
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Strategy & Analytics for Business Growth Senior Associate
jpmorganchase
(US) FULL TIME | JOB LISTED
This role involves supporting revenue-growth initiatives through advanced analytics and market research, primarily targeting commercial banking clients with a focus on data-driven decision-making. The differentiator is the emphasis on developing defensible ROI models to guide strategic priorities, while the risk lies in over-reliance on complex data sets and modeling, which may not translate into actual growth if misinterpreted.
Booking.com seeks a Fraud Analyst to manage security and fraud threats globally, with an emphasis on detection and response. The role involves developing data pipelines, scripting, and...
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Booking.com seeks a Fraud Analyst to manage security and fraud threats globally, with an emphasis on detection and response. The role involves developing data pipelines, scripting, and collaboration with stakeholders, leveraging tools like SQL, Python, PySpark, Airflow, and visualization tools. A major differentiator is the opportunity to influence fraud prevention at a large scale; a risk includes the challenge of staying ahead of evolving fraud tactics. The position offers a competitive package and the chance to work in an agile environment, but the pace can be relentless.
Aon Graduate Programme 2026, Singapore - Innovation & Analytics
@ aon
SG | 2025-12-25
Aon offers a two-year graduate program in Innovation & Analytics, where recruits will be exposed to data analysis, stakeholder engagement, and agile project work in supporting strategic decisions....
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Aon Graduate Programme 2026, Singapore - Innovation & Analytics
aon
(SG) FULL TIME | JOB LISTED
Aon offers a two-year graduate program in Innovation & Analytics, where recruits will be exposed to data analysis, stakeholder engagement, and agile project work in supporting strategic decisions. A key differentiator is the opportunity to explore risk management alongside data analytics, though there's a risk of the role being heavily rotational with limited depth in any one area. This position requires proficiency with SQL, data visualization, and foundational AI concepts, but the salary details are not specified.
Aon Graduate Programme 2026, Singapore -Innovation & Analytics, Data Analyst
@ aon
SG | 2025-12-25
Aon’s two-year Graduate Programme offers rotations across business areas, focusing on data analytics and risk management. The role involves supporting analytics solutions using SQL, Python, and...
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Aon Graduate Programme 2026, Singapore -Innovation & Analytics, Data Analyst
aon
(SG) FULL TIME | JOB LISTED
Aon’s two-year Graduate Programme offers rotations across business areas, focusing on data analytics and risk management. The role involves supporting analytics solutions using SQL, Python, and PowerBI, with a note on familiarity with GenAI as a plus. A unique aspect is the exposure to multiple functions within a large organization. However, there is a potential risk in the requirement for recent graduates to quickly adapt to advanced statistical and machine learning concepts, which may prove daunting without prior experience.
The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.
The role at DRW is a high-impact, fast-paced data analyst position requiring expertise in financial data processing, cloud workflows, and data quality engineering. The job emphasizes hands-on data...
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The role at DRW is a high-impact, fast-paced data analyst position requiring expertise in financial data processing, cloud workflows, and data quality engineering. The job emphasizes hands-on data validation, process optimization, and cross-team collaboration, with a focus on real-world problem-solving and technical precision. While the role offers opportunities to work with cutting-edge tools like PySpark and Airflow, it also demands rigorous attention to detail and the ability to navigate complex data pipelines. The company values innovation and autonomy, aligning with a culture that rewards creativity and technical depth. The role is not an intermediary position, and the salary range is not explicitly provided.
Mastercard seeks a Performance Analytics consultant who leverages data and technology solutions to craft strategic insights for clients across various industries, integrating proprietary platforms...
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Mastercard seeks a Performance Analytics consultant who leverages data and technology solutions to craft strategic insights for clients across various industries, integrating proprietary platforms with traditional management consulting. The role’s differentiator is the combination of Mastercard’s rich data assets with strategic advisory, though the risk of handling sensitive financial data cannot be ignored. Candidates must manage complex projects and client relationships, with no explicit salary details provided.
An analytics-heavy role that promises stakeholder-facing impact through SQL-driven data consolidation, PySpark work, and mission-critical dashboards. It asks you to translate business pain points into analytics problems, become the banking domain SME, and stitch data from multiple sources into decision-ready views. Expect ad-hoc analyses, pre/post campaign evaluation, and in-campaign tracking, with a heavy emphasis on dashboard design over robust data pipelines. The requirements skew early-career: a bachelor's degree and up to four years' experience, with a preference for practical BI/marketing analytics exposure. The lack of explicit cloud, data governance, or production-data responsibilities is notable; this is less about scalable data platforms and more about quick insights and presentation. In a FinTech/FinBank context, the role stands out for domain exposure but risks immaturity in tooling breadth.
This role positions itself as the bridge between stakeholders and data, promising to translate needs into analytics problems, consolidate data from multiple sources into integrated views, and deliver decision-ready dashboards with SQL and PySpark while supporting pre-, in-, and post-campaign tracking. It leans junior-friendly—open to fresh graduates up to four years’ experience—and values strong project management and communication. What stands out is the lean, hands-on stack: SQL, PySpark, and dashboards in a banking/FinTech context, with a preference for practical analytics over glitzy ML. The gaps are notable: no explicit data platform or governance details, no tooling beyond SQL/PySpark, and little clarity on production responsibilities or career progression. Banking work implies regulatory rigor and security demands; without specifics on architecture and reliability, expect a roll-your-sleeves-and-hope-for-the-best day-to-day.
Strategy & Analytics for Business Growth Senior Associate
jpmorganchase
(US) FULL TIME | JOB LISTED
This role involves supporting revenue-growth initiatives through advanced analytics and market research, primarily targeting commercial banking clients with a focus on data-driven decision-making. The differentiator is the emphasis on developing defensible ROI models to guide strategic priorities, while the risk lies in over-reliance on complex data sets and modeling, which may not translate into actual growth if misinterpreted.
Booking.com seeks a Fraud Analyst to manage security and fraud threats globally, with an emphasis on detection and response. The role involves developing data pipelines, scripting, and collaboration with stakeholders, leveraging tools like SQL, Python, PySpark, Airflow, and visualization tools. A major differentiator is the opportunity to influence fraud prevention at a large scale; a risk includes the challenge of staying ahead of evolving fraud tactics. The position offers a competitive package and the chance to work in an agile environment, but the pace can be relentless.
Aon Graduate Programme 2026, Singapore - Innovation & Analytics
aon
(SG) FULL TIME | JOB LISTED
Aon offers a two-year graduate program in Innovation & Analytics, where recruits will be exposed to data analysis, stakeholder engagement, and agile project work in supporting strategic decisions. A key differentiator is the opportunity to explore risk management alongside data analytics, though there's a risk of the role being heavily rotational with limited depth in any one area. This position requires proficiency with SQL, data visualization, and foundational AI concepts, but the salary details are not specified.
Aon Graduate Programme 2026, Singapore -Innovation & Analytics, Data Analyst
aon
(SG) FULL TIME | JOB LISTED
Aon’s two-year Graduate Programme offers rotations across business areas, focusing on data analytics and risk management. The role involves supporting analytics solutions using SQL, Python, and PowerBI, with a note on familiarity with GenAI as a plus. A unique aspect is the exposure to multiple functions within a large organization. However, there is a potential risk in the requirement for recent graduates to quickly adapt to advanced statistical and machine learning concepts, which may prove daunting without prior experience.
The role at DRW is a high-impact, fast-paced data analyst position requiring expertise in financial data processing, cloud workflows, and data quality engineering. The job emphasizes hands-on data validation, process optimization, and cross-team collaboration, with a focus on real-world problem-solving and technical precision. While the role offers opportunities to work with cutting-edge tools like PySpark and Airflow, it also demands rigorous attention to detail and the ability to navigate complex data pipelines. The company values innovation and autonomy, aligning with a culture that rewards creativity and technical depth. The role is not an intermediary position, and the salary range is not explicitly provided.
Mastercard seeks a Performance Analytics consultant who leverages data and technology solutions to craft strategic insights for clients across various industries, integrating proprietary platforms with traditional management consulting. The role’s differentiator is the combination of Mastercard’s rich data assets with strategic advisory, though the risk of handling sensitive financial data cannot be ignored. Candidates must manage complex projects and client relationships, with no explicit salary details provided.
