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Lendable

Strategy Analytics Manager

Lendable

Strategy Analytics Manager at Lendable, a leading fintech company. Managing analytics for operations and driving strategic decisions for growth.

Posted 8/3/2026full-timeLondon • 🇬🇧 United KingdomJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SQL and Python for data analysis, with a strong focus on operational efficiency and strategic KPI development. Capable of translating complex data insights into actionable business decisions while effectively managing stakeholder relationships.

Highest-signal resume keywords
SQLPythonAdvanced ExcelData Science UnderstandingStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLPythonAdvanced ExcelAPIsData ScienceAnalytics EngineeringStatisticsCausal MeasurementAutomationLLM Principles
Soft Skills
Emotional IntelligenceStakeholder ManagementInfluencing SkillsAnalytical JudgementDecision-Making
Tools & Technologies
Dbt
Industry Keywords
Operational EfficiencyKPI DevelopmentCustomer OutcomesOperational ProcessesTransformation Office

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • You will act as the COO’s go-to analytical partner, reporting to the CRO
  • Own MI across front-office and back-office Operations departments
  • Define and govern KPIs covering demand, SLAs, throughput, productivity, quality and customer outcomes
  • Ensure operational efficiency is balanced with fair, timely and effective outcomes for customers
  • Identify where operational processes or service performance are creating customer friction, repeat contact or poor outcomes
  • Ensure reporting is accurate, consistent and trusted by senior leadership
  • Develop strategic north-star metrics that show whether Operations is becoming more effective and scalable
  • Move the function beyond retrospective reporting towards forward-looking insight and decision support
  • Work closely with Operations Directors, Heads of Department, the Operations Transformation Office and Product teams to identify, prioritise and deliver the highest-value operational opportunities
  • Diagnose bottlenecks, failure demand, customer friction and inefficient workflows
  • Work with Transformation and Product to define which problems and opportunities to pursue
  • Measure realised impact precisely and determine whether initiatives should be scaled, adjusted or stopped
  • Translate analysis into clear decisions, actions and ownership

Requirements

What you’ll need
  • Very strong SQL and Python
  • Experience working with APIs
  • Advanced Excel and strong 80/20 analytical judgement
  • Understanding of semantic data models and good analytics engineering practices
  • Basic statistics, experimentation and causal measurement knowledge
  • Understanding of Data Science, automation and LLM principles
  • dbt experience is helpful but not essential
  • Strong commercial and operational judgement
  • High emotional intelligence and stakeholder management skills
  • Comfortable influencing and constructively challenging senior leaders
  • Able to translate complex analysis into simple business decisions
  • Capable of working at pace across several competing priorities
  • Minimum of 2 years experience in analytics or related field is preferred.

Benefits

Comp & perks
  • Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites
  • Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls
  • Health coverage: support for your physical and mental wellbeing, including private health cover
  • Retirement & savings: long-term financial wellbeing through retirement savings plans
  • Employee referral programme: earn a competitive bonus when you refer successful new team members
  • Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations
  • Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations