Senior Data Analyst - ALM

First Horizon Bank•Charlotte, NC

7d•Onsite

About The Position

We are seeking an experienced and highly skilled Senior Data Analyst with a strong understanding of banking concepts, particularly around Asset/Liability Management (ALM) and Funds Transfer Pricing (FTP). This role will involve building, executing, and maintaining production-grade data pipelines in Python, SQL, Excel, and SAS. The successful candidate will play a key role in developing, enhancing, implementing data pipelines, and executing ETL processes in support of the firm’s financial goals and regulatory requirements. This is a production role, focused on understanding customer needs, developing high quality data products to meet those needs, and striving for excellent customer satisfaction. This position is located on-site in either Charlotte, NC or Memphis, TN. Other locations on-site within the First Horizon footprint may be acceptable.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Science/Analytics, Statistics, Mathematics, Engineering, or Finance/Economics with strong quantitative coursework.
5+ years building and supporting data pipelines in a production environment or an equivalent combination of experience and education.
Highly advanced Python for data engineering/analytics (pandas, SQL connectivity, packaging, job orchestration).
Excellent verbal and written communication skills, with a desire to understand customer needs and deliver high quality products.
Advanced SQL skills on relational platforms (e.g., SQL Server, Oracle, or PostgreSQL).
Experience with Excel/Power Query and a proven ability to move between systems and learn new technologies.
Hands-on experience with Agile (Scrum/Kanban), story breakdown, sprint planning, and backlog refinement.
Proven experience with production support in fast-paced environments, including on-call/after-hours as needed.
Solid Git workflow, CI/CD, automated testing, and code quality practices.

Nice To Haves

Master’s in Quantitative Finance/Financial Engineering, Statistics, Data Science/Analytics, or Computer Science.
Background in financial services; knowledge of banking products, ALM/FTP concepts is a plus.
Familiarity with data quality frameworks and testing (e.g., Great Expectations, pytest).
Exposure to cloud data platforms (e.g., Snowflake, Redshift, BigQuery, or Azure Synapse).

Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines using Python (pandas, SQLAlchemy/pyodbc), SQL, Excel, and SAS.
Optimize queries, jobs, and data models for performance, reliability, and cost; implement indexing/partitioning strategies.
Implement and execute data quality checks, logging, alerting, and SLAs to support data pipelines; assist with incident response and root-cause analysis.
Implement version control (Git) and code reviews; promote code and databases from dev to prod with appropriate controls.
Partner with both upstream and downstream stakeholders to translate requirements into user stories; deliver in sprints, demo working solutions, and refine products based on customer feedback.
Document datasets, lineage, and playbooks; create runbooks for production operations and knowledge transfer to associates.
Enforce data governance and access controls; handle sensitive data responsibly and align with compliance standards.
Mentor junior associates and elevate team standards through best practices in DataOps and Agile.
Employ an Agile philosophy to continuously improve the ALM data framework, ensuring alignment with business objectives and changing market conditions.
Assist with projects related to ALM systems, including automation, integration with financial reporting systems, and implementation of new methodologies.
Ensure compliance with internal policies and external regulations regarding funds transfer pricing and risk management.