1 to 25 of 72 Metabase Jobs

creating compelling visualisations and interactive dashboards that effectively communicate operational metrics and KPIs Technical Skills: Proficiency in SQL, data analysis in Python, and advanced experience with BI tools like Metabase, Looker, Tableau, or Power BI Business Operations Knowledge: Deep understanding of operational metrics including customer service metrics, retention analytics, financial KPIs, marketing performance, and product usage patterns Statistical Knowledge: Understanding … Demonstrated expertise in operational dashboard development and automated reporting systems Strong SQL skills and experience working with large operational datasets Advanced proficiency with at least one data visualization tool (Metabase, Looker, Tableau, Power BI) Experience with Python or R for operational data analysis Deep familiarity with common business operations metrics Bachelor's degree in a quantitative field (Statistics, Economics, Computer More ❯

documents for BI processes, systems, and procedures Requirements Fluency in SQL is a must (CTE, Window functions) Hands-on experience with BI tools, Dashboards, and Data Visualizations (Power BI, Metabase or similar tools) Proven track record of end-to-end implementation of data analysis projects, from gathering requirements and data processing to effectively presenting insights to stakeholders Proficient in data … DBT, Airflow, Dagster or similar tools Experience with Google Cloud Platform (BigQuery, Spark) Background in online trading or related financial sectors Benefits State-of-the-art technologies (Power BI, Metabase, BigQuery, Dagster, DBT, Datahub, Spark, Python, SQL) A collaborative and friendly team of professionals High engineering standards (with a focus on change management and data quality) Flexible schedule and remote More ❯

phishing, CNP fraud, and payment fraud Strong skills in: SQL – complex queries and data extraction Python – for analysis, automation, and model development Data visualisation tools such as Power BI, Metabase, or Tableau Statistical methods , including regression and hypothesis testing Basic understanding of machine learning as applied to fraud detection Ability to analyse anomalies, identify trends, and convert findings into prevention More ❯

phishing, CNP fraud, and payment fraud Strong skills in: SQL – complex queries and data extraction Python – for analysis, automation, and model development Data visualisation tools such as Power BI, Metabase, or Tableau Statistical methods , including regression and hypothesis testing Basic understanding of machine learning as applied to fraud detection Ability to analyse anomalies, identify trends, and convert findings into prevention More ❯

Responsibilities Design and implement scalable data pipelines using Databricks, Delta Lake, and Lakehouse architecture Build and maintain a customer-facing analytics layer, integrating with tools like PowerBI, Tableau, or Metabase Optimise ETL processes and data workflows for performance, reliability, and scalability Ensure systems are secure, privacy-compliant, and aligned with regulatory requirements (e.g., GDPR) Collaborate with cross-functional teams to … cloud platforms), including Virtual Networks and secure data infrastructure Experience with DevOps practices and infrastructure-as-code (Terraform preferred) Familiarity with data visualisation tools such as PowerBI, Tableau, or Metabase Experience designing data platforms that are stable, scalable, and privacy-conscious Strong communicator who can clearly explain technical concepts to non-technical stakeholders Comfortable working in collaborative, cross-functional environments More ❯

Responsibilities Design and implement scalable data pipelines using Databricks, Delta Lake, and Lakehouse architecture Build and maintain a customer-facing analytics layer, integrating with tools like PowerBI, Tableau, or Metabase Optimise ETL processes and data workflows for performance, reliability, and scalability Ensure systems are secure, privacy-compliant, and aligned with regulatory requirements (e.g., GDPR) Collaborate with cross-functional teams to … cloud platforms), including Virtual Networks and secure data infrastructure Experience with DevOps practices and infrastructure-as-code (Terraform preferred) Familiarity with data visualisation tools such as PowerBI, Tableau, or Metabase Experience designing data platforms that are stable, scalable, and privacy-conscious Strong communicator who can clearly explain technical concepts to non-technical stakeholders Comfortable working in collaborative, cross-functional environments More ❯

maintain operational dashboards and reports to support internal teams Collaborate with the Product team to enhance the platform’s data services, including planning for a live, self-serve portal (Metabase) Lead, mentor, and develop junior and mid-level analysts, helping to scale the team as the business grows Drive continuous improvements in data quality, reporting processes, and analytical output What More ❯

maintain operational dashboards and reports to support internal teams Collaborate with the Product team to enhance the platform’s data services, including planning for a live, self-serve portal (Metabase) Lead, mentor, and develop junior and mid-level analysts, helping to scale the team as the business grows Drive continuous improvements in data quality, reporting processes, and analytical output What More ❯

maintain operational dashboards and reports to support internal teams Collaborate with the Product team to enhance the platform’s data services, including planning for a live, self-serve portal (Metabase) Lead, mentor, and develop junior and mid-level analysts, helping to scale the team as the business grows Drive continuous improvements in data quality, reporting processes, and analytical output What More ❯

remain compliant. Requirements: Experience with technical product configuration such as email sending platforms, website builders, analytics solutions or similar. Proficient in SQL and comfortable using BI/visualisation tools (Metabase, Tableau or similar) to analyse engagement metrics. Excellent client-facing communication skills; able to explain technical concepts to non-technical audiences and drive consensus. Fluent written and spoken English; eligible More ❯

explore, clean, and interpret large data sets with confidence. Proven ability to surface actionable insights from both product usage and customer data. Experience with BI and visualisation tools like Metabase, Looker, Tableau, or similar. Experience using Python for data analysis (e.g. Pandas, NumPy) in a production or exploratory context. Familiarity with key product analytics concepts like activation, retention, feature adoption More ❯

remain compliant. Requirements: Experience with technical product configuration such as email sending platforms, website builders, analytics solutions or similar. Proficient in SQL and comfortable using BI/visualisation tools (Metabase, Tableau or similar) to analyse engagement metrics. Excellent client-facing communication skills; able to explain technical concepts to non-technical audiences and drive consensus. Fluent written and spoken English; eligible More ❯

Business Intelligence, Data Visualization or Analytical roles Strong proficiency in dbt, SQL, dimensional data modeling and ETL processes Experience in product usage analytics Experience in multiple BI tools (e.g. Metabase, Qlik Sense, Looker, Google Data Studio) Significant experience with Python scripting for data extraction, processing, automation tasks Proven track record to translate business requirements into effective dashboards and reports Demonstrated More ❯

Brand new role due to growth Equity Holding About Our Client The company is a leading global embedded financing platform, trusted by many of the world's top e-commerce sites, tech companies, and payment service providers. Our advanced software More ❯

engineering and analytics, and is excited about building internal tools that directly improve product and customer experiences. You'll be working with a mature stack (Python, BigQuery, dbt, FastAPI, Metabase), and your day-to-day will include both writing production-level code and making data actually useful for decision-makers. Main responsibilities: Build, maintain, and optimize data pipelines using Python … and dbt Own and evolve the backend codebase (FastAPI, Docker) Ensure pipeline reliability, code quality, and proper testing/documentation Maintain and extend data models and the BI layer (Metabase) Collaborate closely with product, data science, and leadership on strategic data tools Design and deliver internal tools - potentially leveraging LLMs and OpenAI APIs Write clean, production-grade code with version … BigQuery, GCS, Docker, FastAPI Solid understanding of data warehousing principles Proven ability to work cross-functionally with both technical and non-technical stakeholders Comfortable maintaining and optimizing BI dashboards ( Metabase preferred) Nice to have Experience: Familiarity with Streamlit or other lightweight internal tooling UIs Exposure to LLMs , OpenAI tools , or agent-based systems Experience using Google Analytics or reverse ETL More ❯

Analytics Engineering: model datawarehouses both batch and real-time with for example clickhouse and dbt or sqlmesh Business intelligence: build visuals that answer critical business questions in for example metabase, databricks or powerbi. ML/AI: use modern tools to predict or use llm's to facilitate the insights hidden in unstructured data. You are not responsible for single handedly … insights for a wholesale client with data warehousing using an azure, aws, gcp or on-premise architecture including apache kafka/pulsar, sqlmesh/dbt, clickhouse/databend and metabase/superset. Build state-of-the-art systems that solve client-specific challenges, for example building agentic LLM's with RAG (retrieval-augmented generation) using ollama, local-ai and openwebui. More ❯

leadership. Audit & improve data infrastructure: Partner with engineering to document and upgrade our data sources and ETL pipelines. Own dashboards & self-serve tools: Stand up (or refine) tools like Metabase to make insights accessible to the full team. Develop taxonomies & definitions: Create a shared vocabulary across product and ops (e.g., "active user," "successful transaction"). Ship analyses that matter: Run … communicator-whether with dashboards, written summaries, or Loom videos. Strong product and business intuition-you know what matters and what doesn't. Nice to have: experience with dbt, dagster, Metabase, or Snowflake. Our Tech Stack We work with a modern, scalable data stack: Data & Infrastructure : Snowflake, S3, OpenSearch, AWS Lambda & Batch, Dagster, dbt Analytics & Experimentation : Amplitude, Appsflyer, Metabase Orchestration & Modeling More ❯

leadership. Audit & improve data infrastructure: Partner with engineering to document and upgrade our data sources and ETL pipelines. Own dashboards & self-serve tools: Stand up (or refine) tools like Metabase to make insights accessible to the full team. Develop taxonomies & definitions: Create a shared vocabulary across product and ops (e.g., “active user,” “successful transaction”). Ship analyses that matter: Run … communicator—whether with dashboards, written summaries, or Loom videos. Strong product and business intuition—you know what matters and what doesn’t. Nice to have: experience with dbt, dagster, Metabase, or Snowflake. Our Tech Stack We work with a modern, scalable data stack: Data & Infrastructure: Snowflake, S3, OpenSearch, AWS Lambda & Batch, Dagster, dbt Analytics & Experimentation: Amplitude, Appsflyer, Metabase Orchestration & Modeling More ❯

business analyst role (ideally in tech or SaaS) Strong SQL and Python skills (e.g. Pandas, NumPy) and confidence handling large, complex datasets Proficiency with BI tools (e.g. Tableau, Looker, Metabase) Excellent communication and data storytelling skills Comfortable working cross-functionally with technical and commercial teams A curious, proactive mindset Salary : Circa £35,000 Location: Belfast - Hybrid To speak in absolute More ❯

availability and scalability of all data systems Requirements Significant experience as a Data Science Engineer (or similar senior data role) Expertise in ETL tooling and pipeline development (e.g. dbt, Metabase) Proficiency in Python or R for data modelling and analysis Experience working with cloud platforms (AWS, GCP or Azure) Track record of deploying and maintaining reliable data systems at scale More ❯

datasets and data pipelines. Learn how to work with stakeholders to gather requirements and translate them into data tasks. Develop your SQL skills and gain exposure to tools like Metabase, BigQuery, and Airflow. What we need from you: A degree in a relevant field (e.g. Computer Science, Mathematics, Economics, or similar) or demonstrable experience working with data (e.g. coursework, bootcamps More ❯

datasets and data pipelines. Learn how to work with stakeholders to gather requirements and translate them into data tasks. Develop your SQL skills and gain exposure to tools like Metabase, BigQuery, and Airflow. What we need from you: A degree in a relevant field (e.g. Computer Science, Mathematics, Economics, or similar) or demonstrable experience working with data (e.g. coursework, bootcamps More ❯

adoption. What We're Looking For Strong analytical and problem-solving mindset Experience with SQL and data querying Advanced Google Sheets or Excel skills; BI tools (e.g. Looker, Tableau, Metabase) a plus Experience in workforce planning, capacity modelling or operational analytics A service mindset with strong communication skills and attention to detail Comfortable working cross-functionally with People, Product, Finance More ❯

to support pricing strategies, unit economics, and forecasting. Deliver impactful reports and proposals to present to both internal and external stakeholders. Leverage SQL, Python, and data visualisation tools (e.g. Metabase, Snowflake, Tableau) to identify growth opportunities and provide actionable insights. Partnerships & Commercial Growth: A strong interest in fintech, partnerships, and commercial strategy. Understanding of commercial metrics, unit economics, and financial More ❯

environment, but this isn't set in stone! Familiarity with digital advertising platforms (Google Ads, Facebook Ads, LinkedIn Ads, TikTok, etc.) We use Google Analytics 4, BigQuery, Fivetran, Amplitude, Metabase and DBT amongst other things for our data stack, so experience here would be beneficial, however, experience in similar tools (if not these ones) is a must-have Being a More ❯