Snowflake Data Analyst at DTCC Candidate Experience Site

Coppell, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Apr, 26

Salary

0.0

Posted On

19 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, Python, SQL, Data Analysis, ETL, Data Modeling, Data Governance, BI Tools, Data Quality, Collaboration, Technical Leadership, AI Capabilities, Data Insights, Data Processing, Automation, Cloud Services

Industry

Financial Services

Description

Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve. The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance. Pay and Benefits: Competitive compensation, including base pay and annual incentive Comprehensive health and life insurance and well-being benefits, based on location Pension / Retirement benefits Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee). The Impact You Will Have in This Role The RDS Data Insights (RDI) team delivers high‑value analytics, data‑quality intelligence, and benchmarking solutions that support clients across global trade‑reporting jurisdictions. We are seeking a skilled Data Analyst with strong Snowflake expertise and Python proficiency to join the team. In this role, you will contribute to both the evolution and the stability of the RDS ecosystem—exploring and applying AI capabilities within the RDS space while also supporting the maintenance and enhancement of the existing TRA application. You will partner closely with the RDS Product team to advance AI‑driven initiatives, help shape new data‑insight capabilities, and ensure the continued delivery of accurate, high‑quality analytics to our global client base. Your Primary Responsibilities: Perform complex data analysis to uncover trends, patterns, and actionable insights that inform business and product decisions. Develop, optimize, and maintain advanced SQL queries and stored procedures within the Snowflake environment to ensure efficient data retrieval and processing at scale. Design and implement scalable data models (e.g., star schema, data vault) optimized for Snowflake architecture to support analytical workloads and business intelligence initiatives. Build and maintain robust ETL/ELT pipelines to ingest, transform, and prepare data from diverse sources into Snowflake, using tools such as Snowpipe, Streams, and Tasks. Create, manage, and enhance comprehensive reports and interactive dashboards using BI platforms (e.g., Tableau, Power BI, Looker) to effectively communicate insights and recommendations to team members. Monitor, solve, and fine-tune Snowflake queries, virtual warehouses, and resource utilization to improve performance, minimize latency, and optimize cost efficiency. Ensure data quality, accuracy, and governance by implementing stringent validation rules, data‑masking techniques, and role‑based access controls (RBAC) within the Snowflake ecosystem. Collaborate closely with cross‑functional teams—including data engineers, data scientists, and business stakeholders—to gather requirements and deliver high‑impact data solutions. Provide technical leadership and mentorship to junior analysts and developers by promoting best practices in data modeling, pipeline development, and Snowflake optimization. Stay current with emerging Snowflake capabilities and industry trends (e.g., Snowpark, AI/ML integrations) and recommend innovative solutions to enhance analytical and AI‑driven capabilities within the organization. Qualifications Minimum of 2 years of related experience Bachelor's degree preferred or equivalent experience Talent Needed for Success Proficiency with Snowpark (Python/Java), Snowflake Cortex AI, and the Streamlit framework Strong expertise in Python for data processing, automation, and analytical workflows. Hands‑on experience with Snowflake on AWS cloud services Additional Information Certificate in Snowflake DB/AWS cloud practitioner is preferred. The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. With over 50 years of experience, DTCC is the premier post-trade market infrastructure for the global financial services industry. From 20 locations around the world, DTCC, through its subsidiaries, automates, centralizes, and standardizes the processing of financial transactions, mitigating risk, increasing transparency, enhancing performance and driving efficiency for thousands of broker/dealers, custodian banks and asset managers. Industry owned and governed, the firm innovates purposefully, simplifying the complexities of clearing, settlement, asset servicing, transaction processing, trade reporting and data services across asset classes, bringing enhanced resilience and soundness to existing financial markets while advancing the digital asset ecosystem. In 2024, DTCC’s subsidiaries processed securities transactions valued at U.S. $3.7 quadrillion and its depository subsidiary provided custody and asset servicing for securities issues from over 150 countries and territories valued at U.S. $99 trillion. DTCC’s Global Trade Repository service, through locally registered, licensed, or approved trade repositories, processes more than 25 billion messages annually. To learn more, please visit us at www.dtcc.com or connect with us on LinkedIn, X, YouTube, Facebook and Instagram. DTCC proudly supports Flexible Work Arrangements favoring openness and gives people freedom to do their jobs well, by encouraging diverse opinions and emphasizing teamwork. When you join our team, you’ll have an opportunity to make meaningful contributions at a company that is recognized as a thought leader in both the financial services and technology industries. A DTCC career is more than a good way to earn a living. It’s the chance to make a difference at a company that’s truly one of a kind. Learn more about Clearance and Settlement by clicking here. Serves as a dedicated technology resource for advancing DTCC’s business opportunities and providing industry thought leadership for leveraging new technology. The goal of this new department is to partner internally with IT, our business and regulatory divisions and externally with clients, regulators, and fintech vendors, to help build new platforms and business models to advance DTCC’s mission to support the financial markets.

Responsibilities

The Data Analyst will perform complex data analysis to uncover trends and actionable insights while developing and optimizing SQL queries within the Snowflake environment. They will also design scalable data models and build robust ETL/ELT pipelines to support analytical workloads.