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.
Enedis est incité à la maitrise de ses coûts d’investissement à travers la régulation incitative fixée par la Commission de Régulation de l’Energie. Au delà de l'aspect data, le candidat devra témoigner d'intérêt pour…
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Enedis est incité à la maitrise de ses coûts d’investissement à travers la régulation incitative fixée par la Commission de Régulation de l’Energie. Au delà de l'aspect data, le candidat devra témoigner d'intérêt pour les domaines de l'électrotechnique et du génie civil.
Budget: 500 Expert Data Analyst Role Description The Data Analyst is responsible for collecting, stitching together and analyzing data to enable insights—e.g., operations, customer experience, etc., behavior models, and…
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Budget: 500 Expert Data Analyst Role Description The Data Analyst is responsible for collecting, stitching together and analyzing data to enable insights—e.g., operations, customer experience, etc., behavior models, and communicating how those findings support improvement in airline reliability, customer experience, profitability, etc. Responsibilities Improves the data availability by acting as a liaison between analytics and agile Feature teams Produces data through SQL and other programming and develops reports / dashboards to feed into weekly, monthly, quarterly, and annual reports Develops data and information structure Creates and modifies computer programs to extract information from company databases Interacts with data scientists and industry experts to understand how data needs to be converted, loaded and presented Domain Expertise BS/BA Degree (MS preferred) preferably in Computer Science, Statistics, Math or equivalent combination of education and experience 1-5 years of experience with data analysis and preparation, including experience with very large data sets Experience working with unstructured data sets is a plus High level SQL skills.
The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. Responsibilities Understand the day-to-day issues that our business faces, which can…
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The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. Responsibilities Understand the day-to-day issues that our business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience 1 - 2 years' Data Analysis experience Proficient in SQL Show less
Required Profile 2–3 years of experience in data analysis, reporting, automation, and data visualization. Experience in executive-level reporting and clear, effective data visualization.
This role will support the development and implementation of the organisational data strategy. You will work closely with various teams to help foster a data-driven culture and assist in deriving insights from data.
Surtout ceux que vous vivez à fond. C’est Votre Expertise Python (analyse de données, automatisation, traitement back-end) SQL (extraction et transformation de données multi-sources) Outils de visualisation de données…
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Surtout ceux que vous vivez à fond. C’est Votre Expertise Python (analyse de données, automatisation, traitement back-end) SQL (extraction et transformation de données multi-sources) Outils de visualisation de données (Grafana ou équivalent) Travail avec des données issues de systèmes opérationnels Envir...
[Industry: Design Services | Type: Full-time | Level: Mid-Senior level] Job TypeFull-timeDescriptionData Analyst IISupport Data-Driven Decision Making Across the FirmAre you a detail-oriented, curious Data Analyst who…
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[Industry: Design Services | Type: Full-time | Level: Mid-Senior level] Job TypeFull-timeDescriptionData Analyst IISupport Data-Driven Decision Making Across the FirmAre you a detail-oriented, curious Data Analyst who loves turning complex data into
291 - Senior Analyst - Technology & Data - Analytics About WPP Media WPP is the creative transformation company. WPP Media is WPP's global media collective.
That’s one provider, one account, one bill, and lots of savings. Working with operational teams and customer product teams you will model data from business systems to be insight and operations ready.
You are comfortable working with structured datasets and are eager to deepen your experience in data modeling, visualization, and business analysis. What You’ll Do Support client and internal teams in understanding…
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You are comfortable working with structured datasets and are eager to deepen your experience in data modeling, visualization, and business analysis. What You’ll Do Support client and internal teams in understanding business questions and translating them into analytical requirements Analyze data to identify trends, patterns, and insights under the guidance of senior team members Build and maintain dashboards and recurring reports to track key metrics and performance indicators Assist in documenting metrics, definitions, and analytics processes Collaborate with data engineers and other analysts to support data modeling and reporting layers Communicate insights clearly through visualizations, summaries, and presentations Proactively identify opportunities to improve reporting, data quality, and analytical workflows Qualifications Minimum 2+ years of experience in a data analyst, business intelligence, or analytics-focused role Programming experience in Python, Bash scripting, R or related language Working proficiency in SQL and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Experience with Business Intelligence and data visualization tools (e.g., Looker, Tableau, Power BI) Foundational understanding of data modeling and analytics best practices Experience def...
[Industry: Technology, Information and Internet | Type: Full-time | Level: Mid-Senior level] Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and…
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[Industry: Technology, Information and Internet | Type: Full-time | Level: Mid-Senior level] Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted b
Data Analyst (France) Location: Paris / Lyon / Lille / Remote within France Employment Type: Full-time Permanent (CDI) Role Overview We are looking for a detail-oriented Data Analyst to analyze data, generate…
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Data Analyst (France) Location: Paris / Lyon / Lille / Remote within France Employment Type: Full-time Permanent (CDI) Role Overview We are looking for a detail-oriented Data Analyst to analyze data, generate insights, and support business decision-making. Key Responsibilities Collect, clean, and analyze structured datasets Build dashboards and reports to track business KPIs Translate business questions into data analysis tasks Identify trends, patterns, and opportunities for improvement Support A/B testing and performance analysis Communicate insights clearly to non-technical stakeholders Requirements Bachelor’s or Master’s degree in Data Analytics, Statistics, Economics, or related field 1–3+ years of experience as a Data Analyst or similar role Strong skills in SQL and Excel Experience with data visualization tools (Power BI, Tableau, Looker) Basic proficiency in Python or R for data analysis Strong analytical thinking and attention to detail Professional working proficiency in English (French is a plus) Nice to Have Experience with business intelligence or reporting tools Familiarity with data warehousing or ETL processes Exposure to cloud platforms (AWS, Azure, GCP) Experience working with cross-functional business teams What We Offer Competitive salary aligned with the French market Permanent CDI contract with statutory benefits Hybrid or remote working options Data-driven company culture Learning and career development opportunities How to Apply Please send your CV to [email@example.com ], with the subject: Data Analyst – France Show less
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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?
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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.
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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.
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