Consultant, Data Analytics

Northern Trust Corp; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Flexible and collaborative workculture

Inclusive workplace

Job summary

Northern Trust Bangalore seeks a hands-on Senior Data Analyst to join the asset management team. You will act as the data SME within a Scrum team, driving complex analytics, mapping datasets, validating data, and delivering actionable insights to optimize operations.

The role requires 5+ years in data analysis within financial services, strong SQL/Python skills, and experience with BI tools like Power BI. You will collaborate with stakeholders and mentor team members in a fast-paced setting.

Qualifications

• Bachelor’s degree or equivalent in related field.
• 5+ years hands-on data analysis experience in asset management or financial services.
• Strong communication and project management skills.
• Experience working in Scrum/agile environments.

Responsibilities

• Lead data analysis and reporting initiatives for asset management operations.
• Collaborate with stakeholders to design data models and validation processes.
• Utilize SQL, Python, and BI tools to deliver actionable insights.
• Present data-driven recommendations to senior management.

Skills

SQL

Python

Data analysis

Stakeholder communication

Scrum/Agile

Education

Bachelor’s degree in Economics/Finance/Mathematics/Computer Science

Tools

Power BI

QlikView

Microsoft SQL

Job description

## Consultant, Data AnalyticsApply: Bangalore, India: Full time: Posted 3 Days Ago: End Date: October 31, 2026 (7 days left to apply): R158087**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. **Job Description**Position Overview: We are seeking a hands-on Senior Data Analyst to join our asset management team. This role requires a dynamic professional with at least 5 years of experience who can serve as the data subject matter expert (SME) within a cross-functional Scrum team. The ideal candidate will be responsible for driving complex data analysis projects, supporting data mapping, validation and analytics.* ## Key Responsibilities:* Lead data analysis and reporting initiatives to deliver actionable insights for asset management operations.* Drive with sourcing on new datasets, functional design & mapping, data modeling to support consumption needs, data validation and quality management* Demonstrate advanced competence in database systems, including SQL and Power BI.* Apply strong mathematical, analytical, and problem-solving skills to address business challenges.* Act as the primary data SME within a Scrum team, collaborating with stakeholders and facilitating discussions to reach decisions.* Build and maintain strong relationships within the team and across departments.* Deliver high-quality work products requiring minimal revision and ensure significant financial, client, and internal business impact.* Provide mentorship and guidance to less experienced team members, fostering knowledge sharing and professional development.* Participate in business stakeholder meetings and interact with Senior Management, presenting data-driven recommendations. * ## Technical Requirements:* Proficiency in Asset Management data including AUM & Flows, Performance & Attribution, Fees, Benchmark and Securities, Account onboarding, ESG etc.* Proficiency in relational database concepts, querying, and data warehouse management.* Hands-on experience with analytics tools such as Microsoft Business Intelligence Suite, QlikView, or similar.* Ability to manipulate and analyze large datasets, translating findings into clear, actionable insights.* Experience in requirements gathering and using decision support tools.* Hands on SQL and Python knowledge * ## Qualifications:* Bachelor’s degree in a related field (e.g., Economics, Finance, Mathematics, Computer Science) or equivalent work experience.* Minimum of 5 years’ hands-on experience in data analysis, preferably within asset management or financial services.* Strong communication and project management skills.* Demonstrated ability to work effectively in a Scrum/agile environment. **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.