Lead Analytics Consultant - Remote

 

Are you a hands-on analytics expert who is equally experienced at building and explaining? We are looking for a Lead Analytics Consultant who is passionate about both coding technical work and high-impact client consultation.

This is not just a 'back-room' analytics job. In this role, you will be a true partner to our clients, acting as a trusted advisor and a hands-on technical expert. You will design and deliver complex analytical solutions that solve real-world business problems across the entire consumer credit lifecycle, from prospecting and acquisition to portfolio management and collections.

You will be leveraging your deep industry knowledge, advanced programming skills, and our powerful AI tools to turn data into strategy. As a Lead Analytics Consultant you will be reporting to the Senior Director, Analytics Consulting.

What You'll Do

• Lead & Deliver High-Impact Projects: Take ownership of end-to-end client analytical projects, from initial solution design and data integrity evaluation through to final documentation and implementation.
• Be the Hands-On Technical Expert: Serve as an internal subject matter expert for complex analytics. You'll be hands-on, using advanced Python and Spark to build scalable, production-ready solutions, often within the Experian Ascend Analytical Sandbox.
• Consult & Advise: Act as a key consultant for clients and internal partners. You'll not only perform advanced analytics at explaining complex methodologies and results to both technical and non-technical audiences.
• Leverage AI for Modern Solutions: You will use AI in delivering analytics solutions and support clients in their use of Experian's powerful AI tools, helping them understand and adopt these modern capabilities.
• Apply Deep Domain Expertise: Use your knowledge of consumer lending, credit risk, and marketing analytics (such as campaign performance, segmentation, and Return on investment) to solve complex challenges.
• Improve Business Growth: Collaborate with product, marketing and sales teams to translate client needs into viable, analytical solutions that help grow the business.
• Represent Our Expertise: Support departmental leadership on strategic goals and represent Experian's analytical expertise in internal and external forums.

 

• Expertise in advanced Python programming, with hands-on experience in data manipulation, modeling, and deployment in cloud environments.
• Proficiency in using big data platforms, and frameworks like Spark, for scalable analytics
• , Proven ability to explain complex analytical concepts to diverse audiences
• Proven background and 5+ year experience in consumer lending analytics, including marketing and credit risk modeling, portfolio analysis, and lifecycle strategy

Benefits/Perks:

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote, hybrid or in-office
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
• Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.