Automotive Marketing Analyst (Graduate) Global

About us:

A global leader in audio signal processing, ARKAMYS creates innovative audio software solutions for automotive. Join us in one of our locations in Switzerland, Germany, France, Japan, South Korea, China, India or the United States.

About the role

This is a global role at the intersection of coding, artificial intelligence and marketing. You’ll implement marketing through AI - building the prompts, pipelines and tooling that turn models and data into campaigns, content, insight and personalised customer experiences at scale, across our international markets.

You’ll spend as much time writing Python and designing LLM workflows as you do thinking about product/brand positioning, pricing and customer journeys. Coding and AI fluency are mandatory - they are the core of the job, on a par with marketing expertise. Because the remit spans regions, you’ll work across cultures, time zones and markets, so the ability to operate and communicate seamlessly in a global, English-language environment is essential.

What you’ll do

Code and build AI

• Write production-quality Python to automate marketing analytics pipelines, connect to internal data and third-party APIs, and turn one-off analyses into repeatable tools used across regions.
• Query and shape data with SQL, and build dashboards and lightweight web interfaces (HTML/CSS/JS) so non-technical colleagues in any market can use what you build.
• Engineer prompts and LLM workflows that generate, adapt and localise marketing content for multiple markets and languages, extract insight from customer and review data, and personalise the configurator-to-showroom journey - designing, testing and iterating prompts for accuracy, brand voice and relevance.
• Build AI-powered tooling for marketing teams worldwide: retrieval-augmented (RAG) assistants over product, owner and competitor knowledge; automated research and summarisation; creative-asset and copy generation; and customer-insight extraction from unstructured text.

Drive marketing strategy and analytics

• Quantify opportunities — market- and segment-sizing (TAM/SAM/SOM), demand forecasts and entry cases for new models and geographies.
• Optimise marketing investment — recommend how budget is allocated across digital, social, search and dealer co-op spend in each market, accounting for the long automotive consideration cycle and multi-touch attribution.
• Price and position — economic-value-to-customer (EVC), break-even, sensitivity and NPV analyses for trims, options and connected-service subscriptions, against competitors region by region.
• Grow customer value — CLV / owner equity across the ownership lifecycle (sales, finance, service, renewal, connected services), churn diagnosis, and CRM / loyalty interventions.
• Generate consumer and competitive insight — buyer personas, the See–Think–Do–Care journey, competitor benchmarking, and brand-trust and consideration tracking across markets — increasingly powered by the AI tooling you build.
• Run statistical and econometric analysis in R and/or Python — marketing-mix and regression modelling (log-log elasticities, adstock / carry-over, channel synergies), with honest validation on hold-out data.

What we’re looking for:

Essential — Coding and AI:

• Strong coding ability, especially Python (data, automation, APIs); comfortable with SQL; able to build simple front-ends (HTML/CSS/JavaScript) to ship tools to non-technical users.
• Hands-on prompt engineering and applied generative-AI experience — you’ve designed and iterated prompts and built or prototyped LLM-based workflows, and you understand how to evaluate and improve their output.
• Statistical and econometric analysis in R and/or Python: regression modelling, hypothesis testing, and data visualisation.

Essential — marketing:

• A master’s in Marketing, Marketing Analytics, Strategic Marketing, Business Analytics or a closely related quantitative discipline, plus an undergraduate degree in computer science, information management or another field with a strong quantitative grounding.
• Working knowledge of core marketing frameworks — marketing-mix modelling, CLV / customer equity, EVC / value-based pricing, brand equity, and a digital funnel model such as See–Think–Do–Care.
• The ability to take an ambiguous commercial question, structure it into an analysis or a tool, and land a defensible recommendation.

Essential — global and language:

• Genuine, near-native fluency in English — not only as a working language, but with demonstrated study or professional experience in an English-speaking country. This role is spoken and written in English with international colleagues, and that fluency must be real and tested.
• Comfort operating in a global, multicultural environment across time zones, markets and regulatory contexts.
• Experience with LLM APIs, vector databases / RAG, agent frameworks, or MLOps; familiarity with version control (Git).

Nice to have:

• Experience living, studying or working across multiple countries — international mobility and cross-cultural adaptability are a strong plus in a global role.
• A genuine interest in automotive, mobility and connected vehicles.
• Exposure to consulting or project-management environments and multi-stakeholder delivery.
• Survey design and primary-research experience.
• Additional languages beyond English — a meaningful asset across our international markets.

You’ll thrive here if you

• Reach for code and AI by default — your instinct is to build the tool, not just write the report.
• Are equally credible writing a prompt, debugging a Python pipeline, and defending a pricing recommendation to a director.
• Move easily between cultures and markets, and communicate with total fluency in a global, English-language team.
• Are sceptical of your own work — you validate models, evaluate AI outputs, and flag weak elasticities, small samples and hallucination risk rather than overselling results.
• Care about why people choose, trust and stay loyal to a brand — and about engineering the systems that scale that understanding worldwide.

How to apply

Please send us your CV with a short cover note.

We are an equal-opportunity employer and welcome applicants from all backgrounds.