37 open jobs on The Stack list Data visualization as a key skill. They come from 21 companies in 13 countries, and 37 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Data visualization in its key skills. We do not guess skills from the job title.
What you'll do: Lead the development of analytics strategies across Bauer Media Audio, define KPIs, and build scalable reporting solutions for nine European markets. Translate complex data into actionable insights, build dashboards, and mentor analysts to…
What they ask for: Extensive experience in data analysis or analytics; strong SQL skills; expertise in data visualization tools (preferably Tableau); ability to convert data into business recommendations; experience with audience analytics, segmentation and…
What you'll do: Partner with product and business teams to perform rigorous analyses, define and maintain metrics, set up tracking and experiments, and build reusable AI-assisted analytics to scale insights. Communicate findings clearly to stakeholders to…
What they ask for: 5+ years as data analyst/scientist in a product-focused role; advanced SQL and data visualization; experience building data models in dbt with BigQuery or Snowflake; strong understanding of statistics and experiment design; knowledge of…
What you'll do: Collaborate with stakeholders to translate requests into clear business problems, assess data availability, and transform raw data into clean datasets. Design data models, build MVP dashboards, and iterate based on user feedback while…
What they ask for: Degree in Maths, Economics, Statistics or related STEM field and at least 2 years of BI experience. Proficient in data visualization tools (Power BI, Tableau), data transformation, and data modeling; strong analytical and communication…
What you'll do: Apply data science, machine learning and AI techniques to transform complex datasets into actionable insights and predictive models; develop, evaluate and operationalise analytical models and AI-driven solutions; collaborate with…
What they ask for: Experience applying data science, AI or advanced analytics to real-world problems, strong analytical and communication skills, and ability to work in multidisciplinary teams. Candidates must be able to obtain and maintain (or already hold)…
What you'll do: Design, build, and ship high-quality frontend experiences while working directly with customers to translate their problems into product decisions. You will own features end-to-end, focusing on making complex AI-generated data and metrics…
What they ask for: The role requires strong proficiency in JavaScript and TypeScript with a proven track record of building high-quality frontend applications. Candidates should possess sound architectural judgment, experience in making complex data…
What you'll do: You will generate actionable insights through data analysis and design end-to-end A/B tests to support product decisions. Additionally, you will collaborate with cross-functional teams to define metrics and implement tracking to optimize…
What they ask for: The role requires 3+ years of experience in analytics with strong proficiency in SQL and Python. Candidates must have a deep understanding of A/B testing, statistics, and the ability to connect data insights with business goals.
What you'll do: You will work with subject matter experts to clean, analyze, and model datasets to provide practical solutions for clients. Additionally, you will contribute to prototypes and communicate findings through charts and presentations.
What they ask for: Candidates should have hands-on experience in data science through projects or internships and proficiency in Python. A relevant degree in a quantitative or social science field is required, along with strong communication skills.
What you'll do: You will work with subject matter experts to clean, explore, and analyze datasets while building statistical or machine learning models. Additionally, you will contribute to prototypes and communicate findings through charts and…
What they ask for: Candidates should have hands-on experience in data science through projects or internships and proficiency in Python. A relevant degree in a quantitative or social science field is required, along with a strong grounding in statistics and…
What you'll do: The Data Analyst will support product teams by designing experiments, analyzing performance metrics, and driving data-driven decision-making. They will also build dashboards, educate teams on data literacy, and contribute to the…
What they ask for: Candidates should have 3+ years of experience in product or analytics roles with strong proficiency in SQL and Python or R. A solid understanding of statistical methods, A/B testing, and data visualization tools is essential for success in…
What you'll do: You will enable data-driven decision-making within the Investments team by analyzing product initiatives and measuring their impact on business outcomes. Additionally, you will build self-serve data platforms and dashboards while fostering…
What they ask for: The role requires 3+ years of experience in product or analytics, with at least 1 year specifically in the investments or wealth domain. Candidates must possess strong proficiency in SQL, Python/R, and statistical methods, including causal…
What you'll do: Prepare, clean, combine, and explore datasets; develop and compare statistical or machine learning models; and contribute to prototypes, including language-model applications where appropriate. Evaluate results and limitations, document…
What they ask for: Applicants should have hands-on data science experience through work, research, an internship, or substantial projects, along with Python experience and a grounding in statistics and common machine learning methods. A relevant degree or…
What you'll do: You will collaborate with subject matter experts to clean and analyze datasets, build statistical or machine learning models, and develop prototypes. Additionally, you will communicate findings through charts and presentations to support…
What they ask for: Candidates should have hands-on experience in data science through projects or employment, including proficiency in Python and a grounding in statistics and machine learning. A relevant degree in a quantitative or social science field is…
What you'll do: The role involves leading the end-to-end development of Power BI reporting solutions and dashboards to support operational and strategic decision-making. You will also establish reporting standards, provide user support, and ensure data…
What they ask for: Candidates should have solid experience in data manipulation, modeling, and Power BI visualization, along with the ability to lead workshops and engage with stakeholders. Strong technical expertise in data analysis and a commitment to best…
What you'll do: You will analyze large datasets to build automated reports, dashboards, and alerts that monitor enterprise publisher performance. Your work will provide actionable insights to business teams to help them support publishers and meet KPI…
What they ask for: You must have 3+ years of experience in data analytics with proficiency in SQL and Python or R. Strong business acumen and the ability to communicate effectively with stakeholders are essential for this role.
What you'll do: Analyze and evaluate machine learning model performance to identify inefficiencies and provide actionable recommendations for the Data Science team. Design and execute A/B tests while building dashboards to communicate model performance…
What they ask for: Requires a degree in a quantitative field and 5+ years of experience in data analytics, product analytics, or data science. Candidates must be proficient in SQL, Python or R, and possess a strong understanding of statistical…
What you'll do: Design, develop, and optimize analytical data models and machine learning workflows to support business intelligence and predictive analytics. Collaborate with stakeholders to translate complex data findings into actionable business…
What they ask for: Requires a university degree in a quantitative field and at least 3 years of experience in data science or BI, specifically within the FX industry. Candidates must demonstrate proficiency in SQL, Python, and Power BI, along with strong…
What you'll do: You will design, build, and maintain data pipelines to integrate and reconcile information across a large infrastructure portfolio. Additionally, you will develop data models, dashboards, and analytical tools to provide actionable decision…
What they ask for: Candidates must hold a university degree in a relevant field and possess at least three years of experience in data integration and engineering. Proficiency in SQL, analytical languages, and experience in building business intelligence…
What you'll do: You will partner with engineering teams to develop actionable insights that guide improvements to the Wayve AI Driver through experimental and observational analysis. Your work involves formulating performance metrics, designing…
What they ask for: Candidates must have 3+ years of experience in a Data Science role with strong proficiency in SQL and statistical scripting languages like Python or R. You should possess a solid foundation in experimental design, statistical rigour, and…
What you'll do: The Data Analyst will transform complex anti-financial crime data into actionable insights to enhance risk mitigation and regulatory compliance. They will serve as the primary point of contact for data inquiries, ensuring reporting…
What they ask for: Candidates must have a proven track record as a Data or Business Analyst with strong proficiency in SQL and Python. Experience in anti-financial crime investigations and familiarity with data visualization tools are highly preferred.
What you'll do: You will own the end-to-end frontend systems for the platform and manufacturing applications while building reusable components and tooling. You will collaborate with founders and engineers to create consistent, scalable interfaces that…
What they ask for: You should be proficient in using AI as an engineering tool and possess strong visual judgment for UI/UX design. You must demonstrate a deep understanding of frontend fundamentals and the ability to make sound architectural decisions for…
What you'll do: You will apply quantitative analysis and data mining to understand user behavior and inform product strategy. Additionally, you will guide product teams in measuring key metrics and running A/B experiments to drive product improvements.
What they ask for: The ideal candidate has a solid grounding in SQL and Python with experience in conducting large-scale A/B experiments. You should be impact-driven, commercially minded, and capable of working strategically within cross-functional squads.
What you'll do: You will lead high-uncertainty research projects to drive product decisions and define the methodology for experimentation and effect estimation across the company. You will collaborate with product teams to design experiments, analyze…
What they ask for: The role requires extensive experience in causal inference, A/B test design, and advanced statistical analysis, alongside strong proficiency in SQL and Python. Candidates must demonstrate the ability to translate vague product questions…
What you'll do: You will design, build, and maintain scalable data pipelines to transform raw data into actionable insights and production-ready features. Additionally, you will collaborate with product and engineering teams to develop data products and…
What they ask for: The role requires strong software engineering fundamentals and proficiency in SQL and modern data technologies like Spark or BigQuery. Candidates should have experience in data modeling, pipeline orchestration, and the ability to translate…
What you'll do: You will design, build, and maintain data pipelines to integrate and reconcile information across a large infrastructure portfolio. Additionally, you will collaborate with stakeholders to develop data models, dashboards, and…
What they ask for: Candidates must have a university degree in a relevant field and at least three years of experience in data integration and engineering. Proficiency in SQL, analytical languages, and experience in building business intelligence products…
What you'll do: The role involves continuously improving conversion rate and market models to optimize retail pricing and maximize customer lifetime value. You will collaborate with the trading team to develop pricing strategies and utilize Python to test…
What they ask for: Candidates must have 4+ years of experience in personal lines insurance pricing and a strong background in conversion and market modelling. Proficiency in Python, SQL, and statistical modelling is essential, along with a numerate degree.
What you'll do: The analyst will monitor and evaluate product initiatives to drive data-informed decision-making across business segments. They will also build dashboards, improve data literacy, and collaborate with cross-functional teams to optimize…
What they ask for: Candidates should have at least one year of experience in product or analytics with strong proficiency in SQL and Python or R. A solid understanding of statistical methods, experimentation, and data visualization tools is required.
What you'll do: You will own key parts of the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. You will also collaborate with technical and non-technical…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a relevant field like Mathematics or Computer Science. You must possess strong proficiency in Python, machine learning, and SQL, along with the…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, SQL, and machine learning, along with the ability to communicate technical…
What you'll do: The Mid Data Scientist will own the analytical and machine learning lifecycle, from data exploration and feature engineering to model development and production support. They will collaborate with cross-functional teams to translate…
What they ask for: Candidates must have 3–5 years of professional experience in data science and a degree in a relevant field like Mathematics or Computer Science. Strong proficiency in Python, SQL, and machine learning frameworks is required, along with the…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with technical and non-technical…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a relevant field like Mathematics or Computer Science. You must possess strong proficiency in Python, SQL, and machine learning, along with the…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and deploying production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and strong proficiency in Python, machine learning, and statistical methods. A degree in Mathematics, Computer Science, or a related field is required, along with…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with technical and non-technical…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, machine learning, and statistical methods, along with experience in deploying…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, machine learning, and SQL, along with the ability to communicate technical…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, SQL, and machine learning, along with the ability to communicate technical…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and deploying production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, SQL, and machine learning frameworks, along with the ability to communicate…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, SQL, and machine learning, along with the ability to communicate technical…
What you'll do: You will analyze behavioral data to inform product roadmaps and OKRs while building accessible dashboards for product squads. Additionally, you will establish data standards, ensure data quality, and support the team in making…
What they ask for: The role requires 3+ years of experience in product analytics, specifically within B2C consumer apps. Candidates must possess strong proficiency in Amplitude, SQL, and Python, along with the ability to work in Vienna or hold a relevant…
