Assct Spclst, Data Analytics

ntrs; Bengaluru; On-site; INR 5,000,000 - 7,000,000; Full time

Job summary

Northern Trust in Bengaluru seeks a senior data analytics specialist to deliver robust BI, AI/ML, and data science solutions for NTAM. You will own end-to-end analytics from requirements to deployment, collaborating with architects, engineers, and business stakeholders.

Responsibilities include designing semantic models, building Power BI reports, tuning SQL queries across Snowflake and Azure SQL, and guiding junior BI developers.

Qualifications

• 10+ years delivering AI/ML, BI and analytics in enterprise or consulting.
• Strong banking/financial services domain experience (risk, finance, reporting).
• Expert-level SQL skills with complex joins, CTEs, window functions and tuning.
• Python for analytics/ML.
• Power BI proficiency including DAX, Power Query (M), semantic modeling and visualization best practices.
• Experience with Direct Query sources such as Snowflake, Azure SQL, or Synapse Analytics.
• Knowledge of RBAC security models and data governance in banking.
• Ability to work independently and lead technical delivery.
• Excellent communication with technical and non-technical stakeholders.

Responsibilities

• Design and develop Power BI reports, dashboards, and executive scorecards.
• Lead semantic models (tabular) with efficient DAX measures.
• Write, debug, and optimize SQL queries across Snowflake, Azure SQL, or Synapse.
• Apply AI/ML techniques for forecasting, anomaly detection, and segmentation.
• Ensure Direct Query and hybrid models for performance and scalability.
• Collaborate with architects, data engineers, analysts, and business users to deliver end-to-end analytics solutions.
• Support Power BI service operations, workspace management, refresh strategies, and RLS implementation.
• Define and promote BI engineering standards and documentation for offshore delivery.
• Mentor junior BI developers as needed.
• Stay current with Power BI, Microsoft Fabric, and analytics platform advancements.

Skills

AI/ML

BI analytics

SQL

Python

Power BI

Direct Query sources

RBAC security

Communication

Tools

Snowflake

Azure SQL

Synapse Analytics

Microsoft Fabric

Job description

About Northern Trust

As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world's most successful individuals, families, corporations and institutions.

Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.

With more than 135 years of financial experience and over 24,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service.

We are seeking an experienced data analytics resource to support NTAM's key analytics initiatives with a strong focus on delivering robust, scalable, and user‑centric Machine Learning, Business Intelligence and data science solutions. This role will work closely with architects, data engineers, and business stakeholders to design and develop enterprise grade reports, dashboards, semantic models, and predictive models. This resource will also perform advanced SQL based data preparation and optimization , while applying data engineering and AI/ML techniques to enhance insights. The role is primarily BI engineering focused, with data engineering and applied ML/AI responsibilities , and is designed for a senior individual contributor who can operate independently, own requirements end to end and provide technical leadership within a global delivery model. This role is ideal for a hands‑on resource who is strong in semantic modeling, performance optimization, and stakeholder engagement , and can adapt quickly across complex, multidomain analytics initiatives in the banking and financial services space. Prior Asset Management experience and a working knowledge of financial data will also be critical.

Responsibilities:

• Apply working knowledge of data engineering and AI/ML (Python/R or similar) for targeted use cases such as forecasting, anomaly detection, and segmentation.
• Design and develop Power BI reports, dashboards, and executive scorecards aligned with business and regulatory requirements.
• Lead the design, build, and optimization of semantic models (tabular) using best practice data modeling and efficient DAX measures.
• Write, debug, and tune advanced SQL queries across platforms such as Snowflake, Azure SQL, or other enterprise data stores.
• Help drive AI driven insights generation and advanced analytics using Machine Learning techniques.
• Implement and optimize Direct Query and hybrid models , focusing on performance, query folding, and scalability.
• Collaborate with solution architects, data engineers, analysts, and business users to gather requirements and deliver end to end analytics solutions.
• Support Power BI service operations , including workspace management, publishing artifacts, refresh strategies, and Row Level Security (RLS) implementation.
• Define and promote BI engineering standards, performance best practices, and documentation for consistent offshore delivery.
• Troubleshoot and resolve complex data, model, and report level issues.
• Provide guidance, knowledge transfer, and informal mentoring to junior BI developers as needed.
• Stay current with Power BI, Microsoft Fabric, and analytics platform advancements and recommend improvements.

Required Skills:

• 10+ years of hands‑on experience delivering AI/ML, BI and analytics solutions in enterprise or consulting environments.
• Strong banking or financial services domain experience (risk, finance, operations, client reporting, etc.).
• Expertlevel SQL skills - advanced joins, CTEs, window functions, aggregations, and performance tuning.
• Hands‑on knowledge of Python for analytics / ML and AI use cases.
• Strong proficiency in Microsoft Power BI , including DAX, Power Query (M), semantic modeling, and visualization best practices.
• Experience with Direct Query sources such as Snowflake, Azure SQL, or Synapse Analytics.
• Solid understanding of Power BI Service artifacts (datasets, dataflows, gateways, RLS, deployment pipelines).
• Understanding of security models relevant to banking: RBAC concepts, least privilege, auditability, and sensitive data handling.
• Working knowledge of Microsoft Fabric concepts and modern analytics architectures.
• Ability to work independently as a technical lead , solve ambiguous problems, and own solutions end-to-end.
• Strong communication skills - ability to engage effectively with both technical and nontechnical stakeholders.
• Experience supporting self‑service BI models and governed analytics patterns.
• Knowledge of prompt and context engineering (preferably in PBI copilot).

Working with Us

As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged,