Strategy Analytics Manager

About the role

You will own the end to end analytics and operational strategy for Lendable's front and back office functions, acting as the primary analytical extension of the COO and CRO. You will combine strategic oversight with hands on technical delivery, using SQL and Python to solve high impact problems in operations and customer outcomes. You will lead a small analytics team while personally owning key analysis, reporting and decision support that directly influence how the business operates and scales. You will define, govern and evolve the metrics that matter, ensuring that operations are efficient, fair and aligned with customer needs. You will translate complex operational data into clear narratives, recommendations and actions for senior leadership and stakeholders. You will be responsible for moving reporting from retrospective summaries to forward looking insight that drives proactive decision making and continuous improvement.

Key facts

What you'll do

Define and own end to end operations management information across lending, customer service and back office operations, ensuring accuracy, consistency and trust in all reporting.

Govern KPIs covering demand, SLAs, throughput, productivity, quality and customer outcomes, and develop strategic north star metrics that demonstrate the effectiveness and scalability of operations.

Diagnose bottlenecks, failure demand and customer friction in workflows, and partner with Transformation and Product teams to prioritise the highest value operational opportunities.

Quantify the potential operational and customer value of improvement initiatives, define baselines and hypotheses, and measure realised impact to determine whether changes should be scaled, adjusted or stopped.

Translate analysis into clear decisions, actions and ownership, working closely with Operations Directors, Heads of Department and the Operations Transformation Office to drive implementation.

Own the analytical cycle for demand, SLA and resourcing decisions, including forecasting, capacity planning, throughput measurement and identifying emerging operational risks or pressure points.

Explain not only what happened but why it happened, and clearly recommend changes, required resources and how success should be measured.

Partner with Data Science and Operations teams to assess the impact of automation, AI and LLM led initiatives, measuring time saved, quality improvements, risk reduction and customer outcomes.

Develop a deep understanding of the regulatory environment surrounding consumer credit and ensure that analytics, reporting and proposed changes comply with relevant rules and standards.

Champion a culture of evidence based decision making, using data and experimentation to continuously improve operations and customer experience.

Requirements

You must have a degree or equivalent practical experience in a relevant analytical, business, or operations discipline.

You must have significant experience in operations analytics, management information or a similar role that spans both strategic oversight and hands on technical delivery.

You must be highly proficient in SQL and Python, with a proven ability to write complex queries and analysis that directly inform decision making.

You must have experience defining, governing and communicating KPIs and metrics to senior leadership in a fast growth environment.

You must have a strong understanding of operational processes, workflow optimisation and how to diagnose and resolve bottlenecks that impact customers.

You must have experience measuring the impact of initiatives, including the use of baselines, control groups and before and after analysis to assess true business impact.

You must have strong stakeholder management skills, with the ability to influence, partner and communicate clearly with senior leaders and cross functional teams.

You must be comfortable working in a fast paced, rapidly scaling fintech environment where priorities can change quickly and data is central to decision making.

Nice to have

Experience in financial services, consumer credit or lending operations is preferred.

Experience working with automation, AI or LLM led initiatives and measuring their impact.

Experience in a regulated environment and familiarity with compliance and risk considerations in consumer credit.

Practical notes

This is a full time role based in London.

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