Senior Data Analyst

GAIN

. Own client analysis from scope to delivery, independently and as part of a wider client team .

Posted 11/6/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, client engagement, and project management, with a strong ability to derive actionable insights from customer data. Proficient in SQL and Python, with experience in data visualization tools and methodologies to support commercial decision-making.

Highest-signal resume keywords

Data AnalysisSQLPythonClient Presentation SkillsData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModellingStatisticsCustomer Data AnalysisProject ManagementData Recommendations

Soft Skills

CommunicationMentoringInquisitive ApproachCollaborationAdaptability

Tools & Technologies

DatabricksGCPGA4AWSAzureSQL ServerTableauLooker StudioPower BI

Industry Keywords

RetailECommerceTravelClient EngagementAgency Experience

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformPythonSQLTableau

About the role

Key responsibilities & impact

Own client analysis from scope to delivery, independently and as part of a wider client team
Turn customer data into actionable insights
Lead analysis, visualisation and modelling projects from scoping through delivery
Agree objectives and scope with clients and the wider client team
Deliver work against agreed scope and identify further opportunities in the data
Investigate why results occur and test alternative explanations
Build data-grounded recommendations with clear commercial rationale
Present findings and recommendations to clients, adapting the message to each audience
Act as a senior voice within the Customer Science team
Share best practice and sector knowledge
Deliver accurate, timely, and properly documented client projects
Track time and resources against scope
Advise on actionable recommendations for commercial decisions
Present methodologies, potential solutions, and results at client meetings
Mentor and develop junior colleagues

Requirements

What you’ll need

4+ years’ experience as a Data Analyst or related discipline
Strong experience using SQL and Python
Experience working with large volumes of customer data
Good general understanding of statistics, measurement, and data modelling
Excellent communication and client presentation skills to a range of stakeholders
Able to run projects from brief to recommendation with minimal oversight
A naturally inquisitive approach, with a track record of finding insight beyond the original question
Experience using Databricks, GCP, GA4, AWS, Azure, SQL Server, Tableau, Looker Studio, Power BI and related tools/infrastructure (nice to have)
Direct agency experience with a proven record of delivering to clients (nice to have)
Industry exposure within Retail, eCommerce, Travel and more (nice to have)

Benefits

Comp & perks

Private Medical Insurance
Life Assurance
Income protection
Employee Assistance Programme
Cycle to Work salary sacrifice scheme
Tech & Wearables salary sacrifice scheme
Octopus EV Scheme
Discounts and deals on a range of items from hotels, holidays and hormone testing to cinema, gyms and will writing
GAIN Academy internal learning and development hub
Leadership and Management development
AI fluency development
Mentoring
Experiential workshops
On-demand learning experiences