Senior Data Analyst

iLending•Englewood, CO

23h•$105,000 - $115,000•Onsite

About The Position

We are looking for an experienced Sr. Data Analyst who will be responsible for all aspects of data analysis, and strategic insights at iLending. The Sr. Data Analyst will play a critical role in driving the company's growth by leveraging data assets and analytics capabilities to unlock business opportunities, enhance operational efficiency, and support decision-making across all functional areas. At iLending, we believe that success starts with a strong foundation of values. Our team is built on dependability, empowering one another to achieve greatness, and fostering transparency in everything we do. We're passionate about creating a people-focused culture where everyone feels valued, supported, and inspired to contribute their best.

Requirements

Minimum of 7-10 years of deep data analytics experience.
Expert level experience in Data warehousing.
Expert level SQL knowledge.
Hands-on experience building reporting solutions in Power BI.
Azure, Microsoft Fabric experience is required.
Demonstrated experience in developing ML Models, Predictive Analytics, and utilizing LLMs, SLMs.
Demonstrated experience in generating historical, current and future trends of sales, marketing and customer data.
Experience in consumer lending (auto loans, mortgage, personal loans etc.).
Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
Experience with running analytics for the sales organization.
Bachelor's degree from a 4-year accredited college or university; Finance, or other analytical/technical majors strongly preferred.
Experience fostering solid relationships across multiple departments.
Ability to collaborate with senior executives.
Strong business acumen and the ability to translate complex data insights into actionable recommendations for senior leadership.

Responsibilities

Perform thorough analyses to uncover actionable insights or strategic opportunities related to business growth, operational efficiency, and cost/ resource optimization.
This role will provide hands-on consultancy, collaboration, and support to all department heads and project teams in designing, staffing, and delivering analytics data and financial reporting and the continued refinement of the budget/forecast process.
Manage and optimize the data infrastructure and technology stack, including data storage, ETL processes, data modeling, and data visualization tools.
Utilize Power BI, Excel, and SQL to continue development of a full suite of operational reports from multiple systems.
Establish and maintain robust data governance processes, ensuring data quality, integrity, and security across all systems and platforms.
Collaborate closely with cross-functional teams, including marketing, sales, finance, operations, and technology, to identify business needs and develop data-driven solutions.
Establish strong relationships across all business lines.
Stay abreast of industry trends, emerging technologies, and best practices in data management, analytics, and financial technology, and recommend innovative approaches to enhance data-driven decision-making.
Enable data-informed decision-making across the entire company through the development and deployment of dashboards / standardized KPIs / operational metrics/training/ awareness.
Provide a high level of responsiveness in developing new reports to address needs or questions from the executive team.