12 open jobs on The Stack list Tableau as a key skill. They come from 9 companies in 5 countries, and 12 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Tableau 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: 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: 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: 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: You will design and maintain cross-game data marts and AI-powered pipelines to support player experience and game growth. Additionally, you will collaborate with analysts to optimize SQL queries and develop scalable data tools.
What they ask for: Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python. Experience with production-level data pipelines and familiarity with generative AI tools are also required.
What you'll do: You will design and maintain cross-game data marts and AI-powered pipelines to support analytics and game growth. Additionally, you will collaborate with game teams to build reusable data tools and educate analysts on software engineering…
What they ask for: Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python. Experience with production-level data pipelines using tools like Airflow and Docker is required, along with a collaborative…
What you'll do: You will design and analyze A/B experiments to optimize user funnels and reward mechanics across a massive data lake. Additionally, you will build automated dashboards and data pipelines to provide actionable insights for product and…
What they ask for: You must have 5+ years of experience as a Data Analyst with strong proficiency in SQL and Python. A deep understanding of statistical concepts, experimentation design, and anomaly detection is required for this role.
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 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: The BI Data Engineer will design and maintain enterprise data warehouses and complex business intelligence solutions including data lakes and lakehouses. They are responsible for implementing ETL/ELT pipelines, ensuring data quality, and…
What they ask for: Candidates must have extensive knowledge of enterprise data warehouse design, dimensional modeling, and SQL. Proficiency in BI reporting tools, cloud architectures, and data governance practices is required, along with C1 level English…
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.
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