Senior Business Intelligence Analyst
Rytbank Open · verified Oct 24, 2026 At a glance
Senior Data Analysis & BI role at Rytbank. Full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and improve analytics solutions for business, risk and product decisions
- Turn unclear business questions into structured analysis and recommendations leaders can act on
- Analyze customer behavior, unit economics and risk indicators to guide decisions
- Set standards for data models and metrics, and work with senior stakeholders on success measures
- Maintain reliable, documented data assets and mentor junior analysts across the team
What you bring
- You bring deep knowledge of banking, financial products or another regulated financial setting
- You have three to five years working with SQL and advanced analytical models
- You have used Python or a comparable scripting language for analysis and automation
- You have hands-on experience with dbt, Airflow and cloud data warehouses
- You have three to five years building advanced reports with Tableau, Power BI or a similar platform
Who this fits
This role suits a senior analyst who can turn complex analysis into strategic action for executive stakeholders. You’ll work across engineering, data science, product and business teams, and mentor junior analysts; team-management experience is a plus.
From the employer
About Us:
Ryt Bank is seeking a highly motivated and enthusiastic Senior Business Intelligence Analyst to join our dynamic Data team. This role is designed for aspiring data professionals to apply value-based judgement, technical depth and business intuition in a fast-paced and innovation first environment.
You will work closely with experienced professionals, contribute to how data is structured, interpreted, and used to inform next steps at varying degrees of complexity. Our goal is for data to be a strategic asset to the bank and help make informed decisions with high conviction.
We thrive on collaboration, innovation, and a shared commitment to excellence. You will develop and optimize scalable analytics and data reporting implementation, mentor junior engineers, and contribute to a culture of continuous learning and technical excellence.
Key Responsibilities:
Analytics & Decision Support
- Design & Scale: Develop and optimize scalable analytics solutions that support critical business, risk, and product decisions.
- Complex Problem Solving: Translate ambiguous business problems into structured analytical problem domains and deliver clear, actionable insights.
- Strategic Analytics: Perform rigorous analysis across multiple domains (customer behaviour, unit economics, risk signals) to drive decision-making.
Strategy & Standards
- Analytics Strategy: Drive the standards for data models, metric definitions, and analytical best practices across the organization.
- Define KPIs: Partner with senior stakeholders to establish success metrics and analytical frameworks at both departmental and bank-wide levels.
- Drive Action: Proactively identify systemic issues and growth opportunities, translating data-backed recommendations into measurable business outcomes.
Delivery & Governance
- Ownership: Develop and maintain robust data models and data assets that enable consistent, trusted decision-making.
- Quality & Reproducibility: Ensure analytics outputs are well-governed, documented, and production-ready, moving beyond dashboard reporting.
- Lead Change: Actively contribute to the evolution of Ryt Bank’s data operating model, tooling, and culture.
Leadership & Collaboration
- Cross-Functional: Collaborate with strategic partner from engineers, data scientists, to product managers and business stakeholders
- Mentorship: Elevate the technical and analytical standards of the team by mentoring junior analysts and leading by example.
Qualifications:
- Domain Expertise: Deep familiarity with banking, financial products, or highly regulated financial environments.
- Advanced Technical: 3 – 5 years exposure to SQL and advanced analytical modelling.
- Scripting & Automation: Proven experience using Python (or equivalent scripting languages) for data analysis and automation.
- Modern Data Stack: Hands-on experience with dbt (modeling), Airflow (orchestration), and cloud data warehouses.
- Data Visualization: 3 – 5 years expertise in building sophisticated tools and reports using Tableau, Power BI, or similar platforms.
- Evidence-Based Influence: Beyond "storytelling," you must have the ability to translate complex analysis into persuasive, strategic actions for executive stakeholders.
- Team Management: Experience in managing teams, junior analysts, interns are a plus
Benefits:
- Meaningful Influence: Agency over how data and analytics are designed and governed in a fast-scaling bank.
- Complex Problem Space: The opportunity to apply your experience to high-value challenges across product, risk, and customer behaviour.
- High-Growth Environment: A culture that values technical rigor, intellectual curiosity, and methodical experimentation.
- Strategic Impact: The chance to shape the future of digital banking in Malaysia by building data as a core strategic asset.
What we Value:
- Growth Mindset: Open minded and constructive while being respectful and empathetic, help each other to improve.
- Ownership: Responsible with great sense of ownership
- Commitment: Committed and work as a team to reach the goal.
- Customer Focus: Always thinking from the customer perspective.
- Results Oriented: Focused on tangible, measurable results
- Leadership: Courage to lead change and bring out the best in the team
Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Analysis & BI
Find me workBy the team behind dataroles.