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.
Data Analyst Purpose-Driven Data Consultancy 📍 Hybrid 💼 Permanent A growing, purpose-driven data consultancy is looking for a Data Analyst to sit at the heart of its data and analytics work, shaping problems,…
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Data Analyst Purpose-Driven Data Consultancy 📍 Hybrid 💼 Permanent A growing, purpose-driven data consultancy is looking for a Data Analyst to sit at the heart of its data and analytics work, shaping problems, defining requirements, and ensuring strong data solutions are built with impact from day one. This is a front-end analytics role focused on bridging the gap between business, analytics, data engineering and data science.
Performance Analyst Legal Industry Reporting Strategy & Business Intelligence We are hiring a Performance / Data Analyst to own and evolve our performance reporting strategy across our legal client portfolio. Define…
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Performance Analyst Legal Industry Reporting Strategy & Business Intelligence We are hiring a Performance / Data Analyst to own and evolve our performance reporting strategy across our legal client portfolio. Define reporting structures, views, and narratives that reflect true business performance.
Your primary mission will be to extract actionable insights that will significantly enhance our CRM strategy, expand our customer base, and elevate the caliber of our customer interactions. Main Responsibilities Delve…
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Your primary mission will be to extract actionable insights that will significantly enhance our CRM strategy, expand our customer base, and elevate the caliber of our customer interactions. Main Responsibilities Delve into customer data to discern trends, behaviours, and preferences Formulate and execute strategies to boost customer engagement and retention Join forces with the marketing and product teams to refine CRM campaigns for maximum impact Employ data-centric methods to pinpoint new customer acquisition opportunities Collaborate with marketing departments to roll out targeted campaigns aimed at user acquisition Vigilantly track and report on the progress of initiatives designed to grow the customer base Assess customer lifetime value, categorising customers by their potential and actual value Strategise to attract and nurture relationships with high-value customers Work alongside customer support teams to resolve issues affecting customer contentment Gather, scrutinise, and interpret complex data sets to unlock meaningful insights Craft comprehensive reports and dashboards, presenting findings to key stakeholders Offer well-founded recommendations driven by thorough data analysis Experience & Qualifications Required Studies in Computer Science, or a Data related field, would be welcomed Proven experience in Data Analysis, ideally within the iGaming industry or similar fields Proficiency in key data analysis tools and programming languages such as SQL, Python, or R Exceptional analytical prowess and problem-solving capabilities Stellar communication skills paired with the ability to collaborate effectively across teams Fluent in English and ...
The Data Analyst will help advance Carnegie Mellon’s efforts in external reporting and cross-campus data partnerships. This position will combine data reporting and survey management with data visualization and…
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The Data Analyst will help advance Carnegie Mellon’s efforts in external reporting and cross-campus data partnerships. This position will combine data reporting and survey management with data visualization and communication skills.
As the Data Analyst, you will play a crucial role in helping the business make data-driven decisions – utilising SQL, Power BI and Excel. Data Analytics, Maths) Strong with SQL, Power BI (or similar) and Excel.
As an Information Analyst, you will assist with design data modelling processes, analyse the information, and share insights with peers. Making Possible You Will Be Responsible For The Following Identifying and mapping…
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As an Information Analyst, you will assist with design data modelling processes, analyse the information, and share insights with peers. Making Possible You Will Be Responsible For The Following Identifying and mapping relevant data & information sources for business needs Collecting structured and unstructured information & data Liaising with project teams, sourcing missing information & data Organising information into usable formats Building predictive models Enhancing the information collection process Processing, cleansing & verifying of information Analysing information and data for trends and patterns and to find answers to business questions Setting up information infrastructure Assist in the development, implementation and maintaining information & data bases Assess quality of information and design improvement strategies Generating information and insights from information sets and identifying trends and patterns Preparing reports for executive and project teams Create visualisations of information Responsibility for ensuring that BAM Nuttall is compliant with all legislation and BAM policies / procedures Supporting people engagement in information analytics by creating an environment that embraces a culture of learning, growth and development through performance, inclusion, safety, and wellbeing Supporting the development of information analytics to successfully achieve Business Unit, team and individual goals and objectives to achieve and exceed the service delivery requirements Create and maintain effective individual and team working relationships with the Business Unit Management Teams, our key clients and their representatives Understand existing customer relationships and their requirements and developing...
Collaborate with Data Architects, Data Protection Officers, and other stakeholders to implement data-by-design processes. Ability to work across structured, semi-structured, and unstructured data, extr...
A FPF pretende reforçar a sua equipa com um(a) Data Analyst – Área Desportiva que terá como principal missão contribuir para a definição de KPIs de rendimento individual e coletivo, suporte a decisões estratégicas…
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A FPF pretende reforçar a sua equipa com um(a) Data Analyst – Área Desportiva que terá como principal missão contribuir para a definição de KPIs de rendimento individual e coletivo, suporte a decisões estratégicas através de análise de dados e integração de múltiplas plataformas para uma visão holística do desempenho desportivo: Funções: Responder às necessidades do Departamento de Scouting e Inteligência Desportiva, e da Estrutura Técnica Nacional; Recolher, analisar e interpretar dados desportivos para apoiar a tomada de decisão estratégica das Seleções Nacionais (Masculina, Feminina, em todos os escalões); Desenvolver relatórios e dashboards em PowerBI para monitorização de KPIs de rendimento individual e coletivo; Criar e manter KPIs de deteção e acompanhamento de talento nacional e luso-descendente; Integrar dados de múltiplas plataformas para análise holística; Desenvolver e manter sistemas de reporting via plataformas internas; Suportar análises de tendências táticas e de performance das equipas adversárias e das Seleções Nacionais; Contribuir para projetos estratégicos, incluindo estudos sobre representatividade e das Seleções Nacionais, Contribuir com conhecimento de tendências evolutivas na área de Data Analytics; Participar em necessidades multidisciplinares. Perfil: Elevada capacidade analítica e pensamento crítico; Paixão pelo futebol e conhecimento das dinâmicas do jogo; Capacidade de resolver problemas de forma estruturada e proativa; Atenção ao detalhe, rigor e elevado profissionalismo; Habilidade para comunicar insights complexos de forma clara e acessível para diferentes stakeholders (treinadores, diretores técnicos, scouting); Elevado sentido de responsabilidade, organização e gestão de tempo; Capacida...
Data Analyst or Manager. Primary Duties And Accountabilities Support data preparation efforts for AI/ML models by sourcing, cleaning, and profiling structured and unstructured data.
Handle complex data requests, reports, and predictive data modeling. 2+ years of statistical analysis or data analysis experience or 1+ years of related IT experience, including data warehouse, coding or ETL experience.
Handle complex data requests, reports, and predictive data modeling. 2+ years of statistical analysis or data analysis experience or 1+ years of related IT experience, including data warehouse, coding or ETL experience.
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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.
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Do roles include salary estimates?
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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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