Algomarketing®
Marketing Analytics Lead - 6 months - Europe Fully Remote

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Marketing Analytics Lead - 6 months - Europe Fully Remote
Department: AI & Data Science
Employment Type: Contract
Location: EMEA - Flexible Locations
Description
Remote in Europe
Contract Length: 6 months, potential to extend
Full-time – 40 hours per week
Algomarketing partners with leading global organisations including Google, Cisco, Zoom, Stripe, OpenAI, and other enterprise technology brands to deliver marketing, sales, and go-to-market support with AI enabled talent across EMEA, NORAM, APAC and beyond.
Join a global enterprise SaaS organisation to help build and scale a data-driven marketing analytics capability.
- Lead the development of standardised reporting, dashboards, and performance frameworks that provide a trusted view of marketing performance across regions, business units, and channels.
- Drive the evolution from reactive reporting to proactive, insight-led analytics that supports executive decision-making.
- Partner with cross-functional teams to improve reporting, data quality, governance, and self-service analytics capabilities.
- Lead the development and delivery of executive dashboards, scorecards, and marketing performance reporting.
- Ensure reporting is accurate, timely, standardised, and aligned to agreed KPIs.
- Reduce manual reporting through automation, reusable reporting frameworks, and AI-enabled processes.
- Support the development of a centralised analytics environment using Microsoft Fabric and Power BI.
- Consolidate fragmented reporting into scalable, standardised dashboards and templates.
- Develop and maintain a central marketing KPI and metrics dictionary.
- Implement data validation processes and improve data quality across marketing systems.
- Support data governance and standard tracking frameworks.
- Enable self-service analytics by creating documentation, templates, and user training.
- Analyse marketing performance trends and deliver actionable recommendations to stakeholders.
- Provide insight across digital marketing, brand performance, and communications effectiveness.
- Collaborate across global teams to establish consistent reporting standards and shared analytics capabilities.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- Proven experience in marketing analytics, business intelligence, or data analytics roles.
- Experience developing dashboards, scorecards, and reporting frameworks.
- Strong experience with Power BI (or similar BI platforms).
- Experience with Microsoft Fabric, FiveTran (or equivalent), Google Analytics, and Google Tag Manager.
- Understanding of data modelling, data pipelines, and modern analytics environments.
- Experience working with multiple marketing data sources, including digital, campaign, and CRM data.
- Strong analytical skills with the ability to translate complex data into clear business insights.
- Excellent stakeholder management and communication skills.
- Ability to work in structured, standards-driven environments with a focus on continuous improvement.


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Preferred Skills
- Experience within B2B or other complex, multi-stakeholder organisations.
- Knowledge of automation technologies and AI applications within marketing analytics.
- Experience building scalable reporting frameworks and reusable dashboard templates.
- Strong understanding of data governance and KPI standardisation.
- Passion for driving data-driven decision-making and continuous optimisation.
- Ability to influence stakeholders and support executive-level reporting.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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