Lead Data Analyst, LoopMe

Commercial Finance

Salary not provided

+ Bonus

SQL

Python

Tableau

Looker

Power BI

Redshift

Snowflake

BigQuery

Git

Senior and Expert level

London

More information about location

3 days a week in office (Farringdon, London)

Outcomes-based digital advertising platform

Be an early applicant

Outcomes-based digital advertising platform

201-500 employees

B2BArtificial IntelligenceBig dataMarketingDigital MediaSaaSMobileAdvertising

Be an early applicant

Salary not provided

+ Bonus

SQL

Python

Tableau

Looker

Power BI

Redshift

Snowflake

BigQuery

Git

Senior and Expert level

London

More information about location

3 days a week in office (Farringdon, London)

201-500 employees

B2BArtificial IntelligenceBig dataMarketingDigital MediaSaaSMobileAdvertising

Company mission

LoopMe's mission is to create better consumer experiences through innovation, powered by data, in order to bring people and brands together.

Job

Company

Role

Who you are

This is a high-impact role for someone who thrives on solving complex problems at scale, and enjoys translating data into narratives that drive business outcomes
Experience in an analytical role working with large, granular datasets
Fluency in SQL for data extraction & transformation plus working knowledge of Python or R for statistical analysis are beneficial
Advanced experience of at least one major BI platform (Tableau, Looker, Power BI, Rill, etc.) with a portfolio of interactive dashboards
A proven track record running or evaluating experiments A/B tests (power analysis, lift vs. confidence, segmentation)
Domain exposure to Ad Tech (DSP, SSP, programmatic auctions) or financial/trading data would be preferred
Comfort with high-velocity event streams and real-time metrics
Solid grounding in classical statistics (hypothesis testing, regression, significance, p-value pitfalls)
Ability to translate data into plain-English insights and present to C-level audiences
Experience working in cloud data warehouses (Snowflake, BigQuery, Redshift) and version control (Git)

What the job involves

We’re looking for a hands-on Lead Data Analyst who can sit at the intersection of data science, business and finance to turn high-volume data into clear commercial insight
You will play a pivotal role in turning vast and complex datasets into actionable intelligence, leveraging business intelligence tools and advanced analytics to inform strategic decision-making
Working closely with Finance leadership, Data Science, and cross-functional stakeholders, you'll build compelling dashboards, uncover financial trends, and support our AI-driven business models
Designing, building, and maintaining dashboards, reports, and visualisations in Looker, Tableau, and Rill to support strategic finance and commercial objectives, ensuring there is adoption of key self-service reporting across the organisation
Partnering with Data Science and Engineering teams to ensure consistent access to clean, structured, and scalable data; scoping and conducting A/B and multivariate tests and deliver statistically sound read-outs
Analysing large and complex global datasets, identifying trends, anomalies, and opportunities across financial and operational domains
Supporting the Finance team in forecasting, scenario modelling, and business case analysis with data-backed insights
Leading cross-functional analytics projects across markets, products, and business models, ensuring high analytical standards and storytelling
Using enablement & storytelling to distill complex findings into compelling narratives, slides and visualisations that influence senior leadership decisions
Promoting data partnerships that support the translation and understanding of results between Engineering, Data Science and non-technical stakeholders; document requirements, QA new data pipelines, and champion data governance

Salary benchmarks

Our take

According to LoopMe, traditional digital KPIs, such as views and clicks, are the metrics that are usually used to measure the success of a marketing campaign, but are often the least relevant. LoopMe aims to solve this problem by helping brands and agencies obtain better advertising results by using AI to optimise campaign delivery.

LoopMe differentiates itself through the innovation of its product, PurchaseLoop. The tool uses purchase data, location and surveys in order to precisely target prospects, delivering twice the results that can be obtained using traditional optimisation. This has led to LoopMe's product being adopted by major brands such as Pepsi, Microsoft and Sony Pictures.

In 2022 LoopMe was acquired by Mayfair Equity Partners. This injection of capital will support LoopMe's ongoing expansion in the United States market. Despite the difficulties facing the global economy and the tech sector specifically towards the end of 2022, LoopMe has continued to grow steadily and has announced a global hiring round to support its onging expansion and product development.

Steph

Company Specialist at Welcome to the Jungle

Insights

29% employee growth in 12 months

Glassdoor (3.46)

Company

Funding (last 2 of 5 rounds)

Oct 2018

$17m

SERIES C

Mar 2017

$10m

SERIES B

Total funding: $37.5m

Company benefits

Paid Annual Leave and Bank Holidays
Competitive holiday allowance
Competitive stock options
Flexible working hours
Pension contribution
Paid Parental Leave - 20 weeks maternity & 4 weeks paternity leave
Season Ticket Loan
Travel benefits
Cycle to work scheme
Gym Discount & Free Yoga
Breakfast & great selection of refreshments
Great company equipment MacBooks for employees
MacBooks for employees
Career and performance management
Social events and culture club

Company HQ

Farringdon, London, UK

Leadership

Marco Van de Bergh

(CTO)

Previously worked for 3 years at Velti, first as Senior Product Manager - Mobile Marketing Products for 2 years and then as Director of Agency Platform Products for 1 year

Stephen Upstone

(CEO)

Previously Corporate Finance Director & Board Director at FirstCapital for 3 years and Managing Director - Europe at Ad Infuse for 5 years

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