IT Lead Data Analyst

Continental Finance Company•Wilmington, DE

3d•Hybrid

About The Position

The IT Lead Data Analyst helps define and drive Continental Finance Company’s business intelligence, reporting, and analytics strategy. The role manages the Data Analytics team and provides day-to-day leadership, direction, coaching, and performance feedback while remaining hands-on with data and analytical solutions. It ensures the team delivers accurate, timely, and actionable information supporting operational, marketing, collections, customer journey, and other core business functions. The position partners with business stakeholders and technology teams to understand objectives, establish priorities, define performance measures, and translate business questions into analytics solutions. It leads the development of analytics capabilities across data from systems of record, banking and credit card processing platforms, web and mobile applications, and digital behavioral and telemetry platforms such as Adobe Analytics. The role also promotes data quality, governance, consistent reporting, and scalable measurement practices. The position is part of the Operations team. CFC offers a hybrid schedule with three core office days, Tuesday through Thursday, and remote work on Monday and Friday.

Requirements

Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, or a related field, or equivalent relevant professional experience.
4–6 years of experience in data analytics, business intelligence, reporting, or a related discipline.
Experience directly managing or supervising data analytics, business intelligence, or other technical team members, including coaching employees, managing priorities, and driving team performance.
Advanced SQL skills and experience with enterprise data platforms such as Snowflake, SQL Server, or similar technologies.
Experience developing dashboards and analytical solutions using Tableau or comparable business intelligence tools.
Ability to understand complex data and systems, trace data across multiple sources, investigate inconsistencies, and determine how to obtain accurate, reliable information.
Experience working with traditional systems-of-record data and digital behavioral or telemetry data.
Strong business acumen and strategic thinking, including engaging stakeholders in business terms, understanding objectives and challenges, challenging assumptions when appropriate, and translating needs into practical data and analytics solutions.
Strong leadership, communication, collaboration, and problem-solving skills, with the initiative to drive work forward, develop and manage team members, influence stakeholders, and promote effective use of data.

Nice To Haves

Experience with web or mobile analytics platforms such as Adobe Analytics and understanding of digital measurement, customer journeys, event data, or behavioral analytics.
Experience within financial services, fintech, lending, banking, or credit card operations.

Responsibilities

Manage and lead the Data Analytics team by setting priorities and expectations, assigning and managing workload, coaching and developing team members, providing performance feedback, and ensuring timely, high-quality delivery.
Partner with business leaders and stakeholders to understand objectives, identify analytical opportunities, define performance measures, and translate business needs into reporting, analytics, and data strategies.
Lead the development and evolution of business intelligence and analytics capabilities, including dashboards, reporting, data analysis, and analytical solutions.
Analyze business, operational, customer, portfolio, and behavioral data; investigate complex data questions and relationships across systems; and ensure conclusions rely on accurate, reliable information.
Develop understanding of data across core systems of record, banking and credit card processing platforms, web and mobile applications, and digital analytics and telemetry platforms, and help integrate these sources.
Establish and promote standards for data quality, metric definitions, reporting consistency, analytics governance, and validation; identify discrepancies, determine root causes, and work across teams to improve data reliability and usability.
Communicate analytical findings, business trends, recommendations, and data strategy to technical and non-technical audiences.
Drive continuous improvement in how the company uses data to measure performance, understand customer behavior, and inform business decisions.