Data Analytics Manager, Lunio
Click fraud prevention service
Be an early applicant
Click fraud prevention service
21-100 employees
Be an early applicant
21-100 employees
Company mission
To make the internet a more reliable place for everyone trying to grow their business by getting rid of fake clicks, traffic, and leads.
Role
Who you are
- Strong SQL and Python skills with the ability to work independently on complex analytical problems and large datasets in cloud data warehouses (e.g. AWS Redshift, Databricks etc.)
- Strong experience building and maintaining dashboards in BI tools such as QuickSight, Looker, Tableau, or Power BI
- Solid understanding of statistical concepts (i.e. A/B testing, regression analysis, and experimental design)
- Curious and pragmatic about AI-assisted tooling, has practical experience embedding it to free up analyst time by automating repetitive workflows, not just experimenting
- Proven ability to manage competing priorities, triage requests, and communicate effectively with stakeholders across the business, and push back when needed
- Comfortable operating ticketing systems such as Jira, managing expectations, and ensuring work is delivered consistently and at a high standard establishing clear SLAs
- Able to turn data into compelling and actionable narratives. Thinks beyond the obvious metrics, identifies meaningful insights and alternative perspectives, and helps stakeholders understand what actions to take
- Takes ownership of problems from identification through to resolution. Comfortable making decisions independently, seeking guidance when appropriate, and ensuring work progresses reliably
- Able to structure ambiguous business questions, break down complex problems into manageable components, and apply sound analytical thinking to reach practical conclusions
- Builds trusted relationships across the business, communicates insights clearly, manages expectations effectively, and uses data to support decision-making and drive action
- Actively seeks opportunities to improve or automate processes, develop new skills, and adopt better ways of working. Encourages learning, experimentation, and continuous improvement within the team
- We welcome applications from people of all backgrounds and experiences, and recognise that great candidates don't always meet every requirement listed in a job description
- If you're excited about the role and believe you could make a positive impact at Lunio, we'd encourage you to apply
What the job involves
- Lunio helps the world's leading advertisers protect and optimise their media spend, processing and analysing billions of ad interactions
- He analytics function plays a critical role in this mission, transforming large-scale data into insights that drive decision-making for both our customers and internal teams
- The Data Analytics Manager will lead the analytics function, combining hands-on analytical delivery with the coaching and development of a small team of analysts
- A key focus of the role will be improving the efficiency and impact of the team through automation, AI-assisted workflows and better reporting, reducing avoidable reactive work and creating capacity for higher-value analysis, while fostering a collaborative culture that supports growth, ownership and high-quality delivery
- Reports to: Head of Data Science
- Team Leadership & Development: Coach, and mentor a team of 2 data analysts, fostering a positive culture where people feel supported and motivated to grow
- Data Service Delivery: Own the day-to-day operation of the analytics service, ensuring requests are effectively triaged, prioritised and delivered to a high standard
- Maintain clear workflows and visibility through Jira, enabling effective planning and communication of progress
- Hands-On Analytics & Reporting: Contribute directly to analysis, reporting, dashboard development and experimentation, delivering high-quality analytical outputs that support decision-making across the business
- Ensure dashboards and reporting solutions remain accurate, relevant and aligned to stakeholder needs
- Stakeholder Partnership: Build strong relationships across the business, translating stakeholder needs into analytical solutions, managing expectations, and promoting data-driven decision making
- Automation & Continuous Improvement: Identify opportunities to automate repetitive analytical workflows and leverage AI-assisted tooling to improve team efficiency, scalability and impact
- Work closely with Data Science and Engineering teams to deliver larger automation and tooling initiatives where appropriate
- In your first 6 to 12 months, we would expect to see:
- Strengthen the analytics service with clear prioritisation, effective triage processes, strong visibility of work, and consistently high-quality delivery
- Build strong relationships with stakeholders across the business, becoming a trusted partner who provides timely, actionable insights and manages expectations effectively
- Identify and implement automation and AI-assisted workflows that reduce manual effort, improve delivery speed, and increase the team's capacity for higher-value analytical work
- Evolve the reporting framework to better connect business objectives to meaningful metrics. Give stakeholders confidence in the metrics they use, visibility into performance, and early warning signals when performance is at risk, with clear recommendations and follow-up actions when metrics move off track
- Create a supportive and accountable team environment, helping analysts develop their skills, grow in confidence and deliver high-quality work
Our take
Online advertisement success greatly depends on the number of clicks each advert receives, and this can lead to abuse from advertisement platforms using bots to spam advertisements with fake clicks. Whilst click fraud solutions exist to tackle this challenge, fake clicks are only blocked on the channel it is identified on and require cumbersome manual configuration to work effectively.
Lunio provides a click fraud prevention service for brands and advertisement agencies, allowing businesses to build click fraud protection profiles based on the metrics and behaviours of authentic clicks. This facilitates the blocking of fraudulent clicks from bots and malicious publishers, as well as the filtering of unintended clicks resulting from dark pattern UX design.
The growing sophistication of online bots presents a serious challenge for click fraud prevention services, but Lunio uniquely leverages its clients’ authentic click data to create smart click-blocking and filtering profiles. Through this method, the company helps businesses increase the success of advertisement campaigns, gain better visibility into their real audience, and decrease wasted advertisement spending.
Freddie
Company Specialist at Welcome to the Jungle
Insights
85% employee growth in 12 months
Company
Funding (1 round)
Sep 2022
$17.1m
SERIES A
Total funding: $17.1m
Company benefits
- Hybrid or Remote: We offer flexible hybrid & remote working models, no spending 5 days a week in the office!
- Flexi-Schedule: Choose your own working schedule, as long as you're here for core team hours
- 36 Days Holiday: Plenty of time off to recharge your batteries (or just binge Netflix, whatever floats your boat). *Includes public holidays
- Home Office Budget: We'll pay up to £1500 to furnish your home office with whatever you need to be productive
- Personal Development: We’ll pay up to £1000 to further your skills with training in any relevant topic of your choice
- Mental Health & Wellbeing: Paid-for support up to £500 to help your mental and physical wellbeing both in and out of work
- Enhanced Parental Leave: We offer extended maternity, paternity, and shared parental paid time off to spend quality time with family
- Commuter Contribution: For hybrid workers, we'll contribute to your travel costs (up to £300pm)
- Carbon Offsetting: We’ll offset your carbon footprint every quarter by planting trees around the world in your name
Company HQ
Chorley, UK
Leadership
Neil Andrew
(CEO)Experience as a Commercial Acquisition Analyst for ao.com. Founder and Head of Search for Piccana Ltd. from 2014 to 2017.
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