Associate Specialist, Data Analytics

Northern Trust Corp; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Northern Trust in Bangalore, India, seeks an Associate Specialist in Data Analytics to lead end-to-end BI analytics initiatives, develop enterprise reports and semantic models, and apply AI/ML techniques. The role emphasizes independent technical leadership within a global delivery model, leveraging Power BI and strong SQL skills.

Candidates should have 10+ years of BI experience in financial services, with proficiency in Python for analytics, Direct Query, and modern analytics platforms.

Qualifications

• For internal applications 24 months as Consultant.
• 10+ years of hands-on BI and analytics delivery in enterprise settings.
• Banking/financial services domain experience preferred.

Responsibilities

• Design and develop Power BI reports, dashboards, and executive scorecards.
• Lead semantic model design using best practice data modeling and DAX measures.
• Write, debug, and optimize advanced SQL across Snowflake, Azure SQL, and Synapse.
• Support AI/ML driven analytics and data engineering tasks.
• Implement Direct Query and hybrid models with focus on performance.
• Collaborate with architects, engineers, analysts, and business users end-to-end.
• Provide guidance and mentoring to junior BI developers as needed.
• Stay current with Power BI, Microsoft Fabric, and analytics platform trends.

Skills

Advanced SQL

Python for analytics

Power BI (DAX, Power Query)

Direct Query

Semantic modeling

Data engineering basics

Communication with stakeholders

Independent technical leadership

Tools

Snowflake

Azure SQL

Synapse Analytics

Power BI Service

Microsoft Fabric

Job description

Associate Specialist, Data AnalyticsPlease view Northern Trust's cookie policy here.# NT Careers## Associate Specialist, Data AnalyticsApply: Bangalore, India: Full time: Posted Today: End Date: November 30, 2026 (30+ days left to apply): R153257**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 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:*** 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.* Apply working knowledge of **data engineering and AI/ML** (Python/R or similar) for targeted use cases such as forecasting, anomaly detection, and segmentation.* 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:*** For internal applications 24 months as Consultant* **10+ years** of hands-on experience delivering 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, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve. Philanthropy is deeply rooted in Northern Trust’s history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities. **Reasonable Accommodation** Northern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at [e-mail], or alternatively you can discuss your individual requirements with the recruiter you are working with. **About Our Bangalore Office** The Northern Trust Bangalore office, established in 2005, is home to over 5,600 employees. In this stunning office space, we offer fantastic amenities which include our Arrival Hub - Jungle, the GameZone, and the Employee Experience Zone that appeal to both clients and employees. Learn more.