Associate - Senior Data Operations Analyst

Nuveen; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Nuveen is seeking a Specialist in Non-Financial Data Analytics & Reporting to contribute to risk data analytics, ETL/ELT pipelines and dashboard development. The role collaborates with RADaR to ensure data quality and governance while delivering analytics-ready datasets.

The ideal candidate has 3+ years of relevant experience, strong SQL, Snowflake and Tableau skills, and familiarity with data governance concepts.

Qualifications

• Experience in data engineering, ETL/ELT, data governance or related areas.
• Solid SQL knowledge and experience building/supporting data pipelines/ETL workflows.
• Exposure to Snowflake and Tableau for dashboard development.
• Understanding of ETL concepts: ingestion, transformation, orchestration and scheduling.
• Awareness of data governance and data quality principles; data lineage is a plus.

Responsibilities

• Design, develop and maintain ETL/ELT pipelines ingesting NFR data into Snowflake.
• Build and schedule data transformation jobs to prepare analytics-ready datasets.
• Develop and optimize SQL queries and data models for pipelines and validation.
• Create Tableau dashboards/reports on governed Snowflake datasets for stakeholders.
• Document pipeline logic, data flow, lineage and governance updates; support issue resolution.

Skills

SQL

ETL/ELT

Data Visualization

Snowflake

Tableau

Data Governance

Excel

Analytical Skills

Education

University (Degree)

Tools

Snowflake

Tableau

Archer

Collibra

Job description

Specialist - Non-Financial Data Analytics & Reporting - IN Specialist Non-Financial Data Analytics & Reporting provides analytical and technical expertise for the implementation/integration of Non-Financial Risk systems or processes with other risk elements across the organization to meet data management and reporting requirements.

Key Responsibilities and Duties

A functional & technical expert in contributing to risk data analytics solutions along with data visualization in partnership with the global Risk Analytics Data & Reporting (RADaR) team members.

Educational Requirements

University (Degree)

Preferred Work Experience

3+ Years Required; 5+ Years Preferred

Physical Requirements

Physical Requirements: Sedentary Work

Career Level 7IC

Role Summary

Basic awareness of Risk and Compliance governance frameworks and management information requirements. Exposure to data engineering concepts such as ETL/ELT pipelines, data modeling and data integration (preferred). Exposure to Data Governance/Data Stewardship concepts (preferred, not mandatory). Prior internship, academic project, or early-career experience in a financial services, compliance, or risk-related context is a plus. Analytical skills.Position Summary: The Associate – Data Engineering & Non-Financial Risk Reporting supports the Risk Analytics Data and Reporting (RADaR) team in building, maintaining and optimizing the data pipelines and ETL processes that power Non-Financial Risk (NFR) reporting and analytics. The Associate will assist in developing and supporting data ingestion, transformation and integration workflows in Snowflake, alongside data governance, data quality and data management activities across the NFR reporting and analytics landscape, under the guidance of senior team members. The role also supports the development of Tableau dashboards and reports that translate governed, pipeline-ready data into actionable NFR insights for stakeholders. The incumbent will work closely with Risk, Compliance, Technology and Business stakeholders to help ensure that NFR data pipelines are reliable, and that resulting data is accurate, complete, consistent and well-documented. Knowledge of the Risk & Compliance domain is an added advantage and preferred. Key Responsibilities:

Support the design, development and maintenance of ETL/ELT pipelines that ingest, transform and load Non-Financial Risk (NFR) data into Snowflake from multiple source systems. Assist in building and scheduling data transformation jobs (SQL-based and/or workflow tools) to prepare curated, analytics-ready datasets for NFR reporting. Use Snowflake to develop, test and optimize SQL queries and data models that support data pipelines, profiling and validation activities. Write SQL queries, under guidance, to build transformation logic and to help identify anomalies, data gaps, duplicates, inconsistencies and trends. Perform source-to-target reconciliation and data validation across data pipelines, and support root-cause analysis of pipeline failures or data breaks. Support the application of data quality rules, thresholds and monitoring processes for NFR-related data as part of pipeline development, as defined by senior team members. Assist in performing NFR Data Quality validation & checks embedded within ETL workflows. Help analyze relationships between source data, transformed data and downstream risk reporting to ensure pipeline outputs are fit for purpose. Coordinate with technology/data engineering teams to help investigate, troubleshoot and track resolution of data pipeline issues. Support the development and maintenance of reusable analytical datasets and data models for NFR reporting and analytics. Build and maintain Tableau dashboards and reports on top of governed Snowflake datasets, working with senior team members to translate business requirements into visualizations. Assist with data lineage and metadata management tasks, including documenting pipeline logic and data flow. Help maintain linkages between business definitions, data assets, pipelines, reports and controls. Flag opportunities to improve pipeline automation, performance and to reduce manual data preparation and metadata maintenance. Support discussions with data owners and stewards to help track accountability and data quality issue resolution. Assist in translating technical data engineering concepts into clear summaries for business stakeholders. Prepare data pipeline, data quality and governance updates for review by senior team members. Support the adoption of sustainable data engineering and data management practices within the team.

Skills Required:

• Experience or exposure to data engineering, ETL/ELT development, data governance, data management, data quality, risk analytics, business intelligence or related areas.
• Working knowledge of SQL and hands-on experience building or supporting data pipelines/ETL workflows.
• Exposure to Snowflake or similar cloud data platforms, including data modeling and pipeline development (preferred).
• Basic understanding of ETL concepts: data ingestion, transformation, orchestration and scheduling.
• Foundational understanding of data governance and data quality principles.
• Familiarity with Collibra or another enterprise data catalogue/governance platform (preferred).
• Basic experience developing dashboards and reports using Tableau, connecting to data pipelines.
• Understanding of data quality rules, controls and metrics as applied within data pipelines (with guidance).
• Basic understanding of data lineage, metadata, data ownership and stewardship concepts.
• Ability to collaborate with business and technology teams.
• Snowflake: Working knowledge of SQL and data modeling in a cloud-based data warehouse environment.
• Tableau: Basic dashboard development skills, connecting to Snowflake or similar data sources (preferred).
• Archer (GRC platform): Awareness of risk data structures and reporting (preferred, not required).
• Proficiency with Microsoft Excel.
• Analytical thinking & willingness to learn data engineering and problem-solving approaches.
• Good written and verbal communication skills.
• Self-motivated and eager to develop.
• Team player.

Functional Knowledge:

• Basic awareness of Risk and Compliance governance frameworks and management information requirements.
• Exposure to data engineering concepts such as ETL/ELT pipelines, data modeling and data integration (preferred).
• Exposure to Data Governance/Data Stewardship concepts (preferred, not mandatory).
• Prior internship, academic project, or early-career experience in a financial services, compliance, or risk-related context is a plus.
• Analytical skills.

Related Skills

Related Skills Analytical Skills, Business Acumen, Business Process Understanding, Compliance, Conflict Management, Consultative Communication, Critical Thinking, Influence, Market/Industry Dynamics, Relationship Management, Risk Analysis/Analytics, Risk Monitoring

Company Overview

TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space. Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.

We are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status.

Our Culture of Impact At TIAA, we're on a mission to build on our 100+ year legacy of delivering for our clients while evolving to meet tomorrow's challenges. We equip our associates with future-focused skills and AI tools that enable us to advance our mission. Together, we are fighting to ensure a more secure financial future for all and for generations to come. We are guided by our values: Champion Our People, Be Client Obsessed, Lead with Integrity, Own It, and Win As One. They influence every decision we make and how we work together to serve our clients every day. We thrive in a collaborative in-office environment where teams work across organizational boundaries with shared purpose, accelerating innovation and delivering meaningful results. Our workplace brings together TIAA and Nuveen's entrepreneurial spirit, where we work hard and work together to create lasting impact. Here, every associate can grow through meaningful learning experiences and development pathways—because when our people succeed, our impact on clients' lives grows stronger.

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