Overview Key Accountabilities and main responsibilities**

- Strategic Focus

- Understand business needs, gather requirements, and develop bespoke analytics solutions, dashboards and data products aligned to key business objectives.

- Develop advanced BI and automation solutions using Alteryx, Power Apps, Fabric, and LLM-enhanced workflows.

- Drive uplift in data governance practices, data quality, and metadata management, including adoption of platforms like OneTrust for data cataloguing and retention (GDPR).

- Partner with business leaders to identify new use cases where data and AI can improve operational efficiency, customer experience, and risk insight.

- Contribute to enterprise strategies on self-service analytics, responsible AI, and democratisation of insight.

- Operational Management

- Build scalable analytical models, simulations, and automated workflows using Alteryx, Microsoft pipelines (Fabric, Power Apps).

- Design, develop, validate, and maintain ETL/ELT processes and data integrations aligned to architectural and governance standards.

- Improve operational reporting through enhanced quality, reduced lead times, and AI-supported summarisation.

- Prompt Engineering for Analytics:

- Design and iterate prompts to convert dashboards, SQL output, and tabular data into executive-ready summaries, insights, and recommendations.

- Insight Automation:

- Use LLMs (Copilot, ChatGPT) to automate recurring reports, detect anomalies, and generate week-over-week insights through structured prompt workflows.

- Data-to-Decision Translation:

- Script Decoding & Logic Translation:

- Self-Service BI Expansion:

- Build reusable prompt templates into dashboards and BI tools, enabling non-technical users to ask natural-language questions and obtain meaningful insights.

- Document systems, data sources, metrics,



and processes to ensure transparency, continuity, and auditability.

- Provide analytical support in interpreting, reporting, visualising, and presenting insights to stakeholders.

- People Leadership

- Build strong relationships across the business to uplift digital capability, promote adoption of analytics, automation, and AI tools.

- Provide coaching, training, and support to business users on reporting tools, dashboards, and secure, effective use of AI copilots and BI features.

- Champion a culture of continuous improvement, innovation, and responsible use of AI-augmented analytics.

- Role-model MUFG Market Services values and contribute to a high-performing, collaborative environment.

- Governance & Risk

- Define and implement policies, processes, and standards for responsible management of data, including capture, storage, architecture, security, integration, reporting, and analytics.

- Embed strong governance controls into analytics and AI-enabled workflows (documentation, lineage, validation, access management, auditability).

- Support model and AI risk management requirements to ensure LLM-powered processes are transparent, ethical, and compliant with regulatory frameworks.

- Provide guidance on data quality, stewardship, and risk identification, and contribute to development of a unified approach to enterprise dataset management.





- The above list of key accountabilities is not an exhaustive list and may change from time-to-time based on business needs. Experience & Personal Attributes

- Data & Analytics Experience

- Extensive hands-on expertise with Alteryx Designer, Alteryx Server, and ideally Alteryx One, with proven ability to design scalable, controlled, and auditable workflows.

- Strong skills in Data Engineering, including ETL/ELT development, optimisation, and data pipeline automation using MySQL, Alteryx, and Azure technologies.

- Solid understanding of data warehouse architecture, including dimensional modelling, semantic modelling, and performance optimisation.

- Experience designing, deploying, and maintaining analytics solutions in Azure, including Azure Synapse Analytics, Data Lake, and Fabric components.

- Expertise in building business-facing Power BI dashboards, reports, semantic models, and integrating them with automated workflows through Power Apps

- Experience in functional design and delivery of enterprise BI and analytics solutions across complex business environments.

- Strong working knowledge of testing methodology, change management and release management, ensuring high-quality, controlled delivery of data products.

- Experience in developing and managing enterprise data warehouse environments, including metadata management, lineage documentation, and governance alignment.

- AI Skills

- Experience using AI-assisted tools (e.g., Copilot, ChatGPT) for:

- Insight summarisation

Logic translation (SQL/Python

- plain language)
- Prompt-engineered reporting and anomaly detection
- Automating insight generation and stakeholder communications
- Ability to embed AI features into BI tools to uplift self-service analytics and reduce dependency on specialist teams.
- Profession

📌 Data Analytics Senior Specialist (Mumbai)
🏢 Link Group
📍 Mumbai