Data science roles bridge statistics, programming, and business intelligence. Demand is strong across all sectors (from fintech to e-commerce), with Python, SQL, and cloud data platforms (Snowflake, BigQuery, dbt) as the core stack.
As an Associate Data Analyst, Customer Support, you will work with the support team to create complex customized reports for clients. Customer experience pain points you identify will inform product improvements and…
Read full description
As an Associate Data Analyst, Customer Support, you will work with the support team to create complex customized reports for clients. Customer experience pain points you identify will inform product improvements and allow PitchBook to optimize the platform for customers worldwide.
Responsibilities Perform highly complex data analysis and data research work that includes merging data sets from multiple databases. Conduct data quality assessments, linkage, analysis, and interpretation of data.
POSTE / MISSIONS Vous intégrerez, au sein de notre Pôle Transformation Numérique, une équipe d'experts en gestion de la donnée en charge d'accompagner nos clients. PROFIL RECHERCHÉ Vous êtes issu(e) d'une formation…
Read full description
POSTE / MISSIONS Vous intégrerez, au sein de notre Pôle Transformation Numérique, une équipe d'experts en gestion de la donnée en charge d'accompagner nos clients. PROFIL RECHERCHÉ Vous êtes issu(e) d'une formation Bac+5 (École d'ingénieur, Université ou équivalent …) en informatique Vous justifiez de 5 ans minimum d'expérience au sein d'une équipe data Vous maîtrisez le langage Pyspark Une bonne connaissance de PowerBI est un plus Vous êtes un bon communiquant et disposez de capacités d'analyse et de synthèse éprouvées afin de pouvoir travailler avec les métiers Data.
Job Summary The Sr Partnerships Data Analyst supports the Global Partnerships team by transforming internal data into actionable insights that strengthen partnership strategy, drive revenue growth, and support renewals.…
Read full description
Job Summary The Sr Partnerships Data Analyst supports the Global Partnerships team by transforming internal data into actionable insights that strengthen partnership strategy, drive revenue growth, and support renewals. Support partnership teams by delivering real-time insights, reporting, and data-driven recommendations that inform active deals and partner decision-making.
[Industry: IT Services and IT Consulting | Type: Full-time | Level: Mid-Senior level] About The RoleTheData Analystplays a key role in monitoring, managing, and improving healthcare data file exchanges across clients,…
Read full description
[Industry: IT Services and IT Consulting | Type: Full-time | Level: Mid-Senior level] About The RoleTheData Analystplays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems.
[Applicants: Over 200 applicants | Industry: Higher Education | Type: Full-time | Level: Entry level] Situated in Stanford’s highly dynamic research environment the Curtis Laboratory (…
Read full description
[Applicants: Over 200 applicants | Industry: Higher Education | Type: Full-time | Level: Entry level] Situated in Stanford’s highly dynamic research environment the Curtis Laboratory ( http://med.stanford.edu/curtislab.html ), led by Christina Curti
[Applicants: Over 200 applicants | Industry: Insurance | Type: Full-time | Level: Mid-Senior level] IntroductionThe Zebra is revolutionizing how consumers research and shop for insurance. We intentionally strive to…
Read full description
[Applicants: Over 200 applicants | Industry: Insurance | Type: Full-time | Level: Mid-Senior level] IntroductionThe Zebra is revolutionizing how consumers research and shop for insurance. We intentionally strive to build diverse teams that feel incl
[Applicants: Over 200 applicants | Industry: Insurance | Type: Full-time | Level: Mid-Senior level] IntroductionThe Zebra, named a Best Place to Work in Austin four years running, is revolutionizing how connected…
Read full description
[Applicants: Over 200 applicants | Industry: Insurance | Type: Full-time | Level: Mid-Senior level] IntroductionThe Zebra, named a Best Place to Work in Austin four years running, is revolutionizing how connected consumers research and shop for insu
[Applicants: Over 200 applicants | Industry: Internet Publishing | Type: Full-time | Level: Entry level] Good Apple is an independent agency driving an average +30% efficiency while making lives 100% easier. Built on…
Read full description
[Applicants: Over 200 applicants | Industry: Internet Publishing | Type: Full-time | Level: Entry level] Good Apple is an independent agency driving an average +30% efficiency while making lives 100% easier. Built on the belief that big agency burea
[Applicants: Be among the first 25 applicants | Industry: Technology, Information and Internet | Type: Contract | Level: Mid-Senior level] Are you a data storyteller who thrives on uncovering insights, shaping business…
Read full description
[Applicants: Be among the first 25 applicants | Industry: Technology, Information and Internet | Type: Contract | Level: Mid-Senior level] Are you a data storyteller who thrives on uncovering insights, shaping business strategy, and driving decision
Salary tags blend employer provided ranges with Catalitium estimates. We mark ranges with Est. labels, note any missing data, and never inflate compensation to boost clicks.
Currency harmonized to USD/EUR/GBP/CHF to avoid surprises.
Outliers are reviewed manually before they appear on a card.
Sponsored employers follow the same disclosure and pay rules.
Yes. Remote-friendly AI and ML roles in the EU have grown over 30% year-on-year. Germany, France, the Netherlands, and Spain lead in volume. Use the AI and EU filters together to surface them quickly, and check the salary estimate badge to ensure the range meets your expectations.
How fresh are the job postings?
Listings are refreshed continuously from employer feeds and normalised daily. Each card shows a posted date pill so you can see exactly how old a listing is. Jobs posted within the last 7 days receive a green New badge. Listings older than 30 days receive a May be filled warning.
Do roles include salary estimates?
Yes. Most listings show an Est. salary pill derived from Catalitium's location-based salary database, blended with any employer-disclosed range. Senior and lead roles receive an automatic seniority uplift. If a salary range is genuinely unknown we leave the field blank rather than show a misleading estimate.
What is a ghost job and how do I spot one?
A ghost job is a listing that has been live for 30+ days and is likely already filled, on hold, or was never a real opening. Research suggests up to 40% of active listings at any time are ghost jobs. Catalitium flags every listing older than 30 days with a triangle May be filled badge so you can prioritise your energy on fresh openings.
What are the highest-paying tech roles right now?
AI and ML engineer roles currently command the highest median salaries on Catalitium, around $150k–$200k USD in the US and EUR 100k–EUR 160k in Europe. Principal and Staff Engineer roles come close, followed by senior full-stack and cloud infrastructure engineers. Use the >100k filter to see only high-compensation listings.
How do I negotiate a higher salary offer?
Reference Catalitium's salary data when negotiating: show the employer the market range for your role and region. Studies show engineers who negotiate receive 10–20% more than the initial offer on average. If base salary is fixed, push on equity, signing bonus, remote allowance, and learning budget. See our Salary Negotiation Guide in the Resources section.
Which European cities pay the most for tech?
Zurich and Geneva (Switzerland) consistently top European tech salaries, followed by London, Amsterdam, Berlin, Paris, and Stockholm. Swiss salaries are typically quoted in CHF and translate to EUR 100k–160k for mid-senior roles. London follows at GBP 70k–110k. Berlin and Amsterdam are competitive at EUR 70k–100k for comparable experience levels.
Can I track my job applications on Catalitium?
Yes. Our free Application Tracker lets you move roles through a Kanban pipeline: Applied, Phone Screen, Interview, Offer, and Closed. It requires no account and stores everything privately in your browser. Hit the Track button on any job card to add it. You can also export your full pipeline as a CSV.
How does Catalitium differ from LinkedIn Jobs?
LinkedIn optimises for engagement and premium upgrades. Catalitium is built exclusively for tech candidates who want signal over noise: every listing shows salary estimates, ghost jobs are flagged, AI-powered summaries save you time reading descriptions, and the application tracker replaces the black-hole Easy Apply experience. No premium paywall, no recruiter spam.
Can I filter to remote-only jobs?
Yes. Choose Remote in the location/country field or tap a Remote shortcut chip. Results are limited to roles that advertise remote or hybrid where the listing text supports it, and remote-friendly rows show a Remote badge.
Which tech stacks are most in demand?
Across Catalitium tech listings, Python, TypeScript/JavaScript, Go, Java, and cloud platforms (AWS, GCP, Azure, Kubernetes) recur most often; AI and data roles add PyTorch, TensorFlow, and LLM tooling. Title and AI summary chips reflect the employer's stated stack.
Which Swiss cities pay the most for software roles?
Zurich and Geneva typically lead Switzerland for software, data, and platform engineering compensation; smaller hubs follow at a discount. Swiss ranges often sit above neighbouring EU markets for comparable seniority—check Est. salary on each card when you filter by Switzerland.
Save this search and get a weekly digest of top matches.
Includes salary signal. No spam.