Develop analytical frameworks, dashboards, and visualizations that enable data-driven decision-making.
Drive end-to-end analytics use cases from problem definition and data exploration through implementation and impact measurement.
Work with large and complex datasets to generate insights that improve client acquisition, portfolio growth, and relationship management strategies.
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Able to apply your knowledge of programming, data/computer sciences and analytics and learn soft skills in engaging different stakeholders from shopfloor to senior management to deliver a project
Interest in smart manufacturing / digital transformation / data-driven decision making
Curious, proactive, and willing to learn in a fast-paced environment
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Perform data transformation, automation and processing using SQL, Python, VBA
Build dashboards and reports using BI tools such as Tableau, Qlik, and Power BI
Administer and support analytics and database platform infrastructure, including Databases, Transformation Server, Tableau Server, and Power BI environment.
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Own the Business Intelligence and reporting ecosystem — define standards for dashboards, metrics, and KPI definitions so the business works from a single source of truth.
Establish and govern a consistent metrics layer (semantic definitions, naming, calculation logic) to prevent conflicting numbers across teams.
Oversee development and maintenance of executive, operational, and self-service dashboards.
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Drive POC projects using Snowflex Cortex Code to explore machine learning use cases for churn prediction, forecasting, price modelling and fraud detection modelling
Use Snowflake Cortex Analyst/Agent on top of our data lake to develop sandbox streamlit apps that can help users interact with structured data using natural language queries.
Proactively identify risks, performance gaps, and emerging trends through deep statistical analysis, forecasting, and early warning mechanisms.
Drive the design, standardization, and optimization of reports and dashboards across teams, ensuring reporting outputs are relevant, efficient, and decision-oriented.
Act as the lead point of contact for analytical problem-solving within the function, recommending better approaches to team-level reporting, data interpretation, and business analysis.
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Identify high-value business problems and translate them into actionable analytics use cases.
Architect and manage the delivery of analytics solutions, from concept to deployment, ensuring alignment with business goals.
Evaluate, select, and implement advanced tools, platforms, and methodologies to support predictive analytics, automation, and performance optimization.
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Proactively identify risks, performance gaps, and emerging trends through deep statistical analysis, forecasting, and early warning mechanisms.
Drive the design, standardization, and optimization of reports and dashboards across teams, ensuring reporting outputs are relevant, efficient, and decision-oriented.
Act as the lead point of contact for analytical problem-solving within the function, recommending better approaches to team-level reporting, data interpretation, and business analysis.
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Managing Reporting Environment: Design and manage the reporting environment, including data sources, security, and metadata, ensuring efficient and secure data handling.
Business Needs and Solutions: Identify business needs, analyze data, and develop solutions to improve processes and achieve business goals, supporting initiatives for data integrity and normalization.
Collaboration and Compliance: Collaborate with teams to develop and implement data management solutions through Azure DevOps (ADO), ensuring compliance with data governance policies and procedures, and troubleshooting the reporting database environment and reports.
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Prototype AI-assisted tools, LLM-based applications, RAG/knowledge assistants, automation agents, or productivity solutions for engineering teams.
Work with engineers and stakeholders to understand open-ended problems, clarify requirements, iterate on prototypes, and document solutions for reuse.
Bachelor’s degree or equivalent experience in Electrical Engineering, Electronics Engineering, Computer Engineering, Computer Science, or a related technical field.
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Managing Reporting Environment: Design and manage the reporting environment, including data sources, security, and metadata, ensuring efficient and secure data handling.
Business Needs and Solutions: Identify business needs, analyze data, and develop solutions to improve processes and achieve business goals, supporting initiatives for data integrity and normalization.
Collaboration and Compliance: Collaborate with teams to develop and implement data management solutions through Azure DevOps (ADO), ensuring compliance with data governance policies and procedures, and troubleshooting the reporting database environment and reports.
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Design, develop, and build data analytics and AI solutions with the following key technologies: Python web frameworks (Flask, FastAPI), Apache Spark, Oracle database and Linux.
Leverage and integrate data-driven technologies such as distributed data processing, graph databases, search engines, generative AI and agentic AI.
Work closely with data architects and data scientists to develop server-side applications powered by big data analytics, AI/ML and LLMs.
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Business-Centric Strategic Analysis: Think and act like a business owner — leverage data analytics to identify opportunities that streamline compliance operations, reduce friction, and drive measurable efficiency gains. Translate complex regulatory and operational data into actionable insights that directly support the company's broader growth strategy.
Executive-Level Strategic Partnership: Serve as a trusted, objective thought partner to Compliance business leaders and senior management, helping define what "success" looks like for the function. Co-develop north-star metrics, performance frameworks, and decision-making criteria that bridge compliance objectives with company-wide priorities.
Team Leadership & Impact Maximization: Lead and develop the Compliance Data Analytics team with a clear vision and high standards. Build a collaborative, high-performance culture where each team member's strengths are fully utilized — ensuring the team operates as a strategic force multiplier for the Compliance organization, not just a reporting function.
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Design, develop, and maintain dashboards, reports, and visualisations that provide meaningful insights into business performance and support effective tracking of key metrics.
Lead end-to-end analytics projects by defining problems, exploring data sources, implementing solutions, and measuring outcomes to ensure successful delivery of initiatives.
Work in close partnership with data engineering, technology, risk management, and other business units to enhance data quality, accessibility, governance, and overall usability.
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