1 to 25 of 27 Metabase Jobs

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

structure and automate key metrics (e.g., feature adoption, activation, LTV, funnel performance). Make architecture decisions that scale as the business grows. Build intuitive datasets that feed tools like Metabase, PostHog, Intercom, and Hubspot. Define best practices for naming conventions, table ownership, and documentation. You Might Be a Fit If: You've owned data pipelines or transformation layers in a … that directly informed product or GTM decisions. Our Data Stack We use a modern ELT setup: BigQuery (warehouse) dbt (transformation, deployed via GitHub Actions) Fivetran (ingestion) Census (reverse ETL Metabase (BI/dashboarding) Plus: Posthog, Stripe, Hubspot, Intercom, Meta Ads, and our internal production database Interview Process: Submit your CV no cover letter needed Intro call with someone from the More ❯

Growth: Monitor financial trends, protect and grow annual recurring revenue (ARR), manage contract optimisation, and identify opportunities for upselling and cross-selling using tools such as Qlik, Looker, and Metabase . Operational Excellence: Track progress on internal deliverables, maintain detailed documentation in Salesforce, and capture key customer-specific business knowledge. Solution-Oriented Approach: Provide creative solutions to complex business and … Ability to manage multiple priorities and customer requests effectively. Strong problem-solving capabilities and attention to detail. Comfortable navigating cross-functional environments. Preferred Skills: Proficiency in Salesforce, Qlik, Looker, Metabase , and Microsoft Office Suite. Ability to analyze financial and performance metrics. What We Offer : Hybrid working model: We offer flexible working options, allowing you to split your time between remote More ❯

be working alongside other growth engineers, this role requires a lot of independence and self-management to come up with ideas and execute them. You'll use data from Metabase, BigQuery, and PostHog to generate new ideas, analyse your experiments, and prioritise your backlog. What does our ideal hire look like? Must have: Thorough understanding of TypeScript and React. Can … React frontend, using ShadCN for components, TailwindCSS for styling, React Query for state management Posthog for frontend analytics (events, sessions, feature flags, experiments) BigQuery as our data warehouse, with Metabase for data visualization. Production data and Posthog events both stream into it so data is in one place. Sentry and Google Cloud Logging for monitoring Github Actions for CI/ More ❯

be working alongside other growth engineers, this role requires a lot of independence and self-management to come up with ideas and execute them. You'll use data from Metabase, BigQuery, and PostHog to generate new ideas, analyse your experiments, and prioritise your backlog. What does our ideal hire look like? Must have: Thorough understanding of TypeScript and React. Can … React frontend, using ShadCN for components, TailwindCSS for styling, React Query for state management Posthog for frontend analytics (events, sessions, feature flags, experiments) BigQuery as our data warehouse, with Metabase for data visualization. Production data and Posthog events both stream into it so data is in one place. Sentry and Google Cloud Logging for monitoring Github Actions for CI/ More ❯

to design and implement data engineering and AI/ML infrastructure. Things we're looking for: Proficiency in data analysis, insights generation and using cloud-hosted tools (e.g., BigQuery, Metabase, Jupyter). Strong Python and SQL skills, with experience in data abstractions, pipeline management and integrating machine learning solutions. Adaptability to evolving priorities and a proactive approach to solving impactful More ❯

new solutions. Strong knowledge of e-commerce principles and environment, including promotional strategies, customer journey mapping, and trading cycles. Proficiency in using digital analytics platforms (e.g., Google Analytics, Tableau, Metabase, Content Square) to evaluate performance and implement data-driven improvements. Knowledge of content management systems (CMS) and merchandising tools to drive website and app performance Expertise in monitoring market trends More ❯

market trends and competitive activities, ideally within the Food & Drink landscape, translating insights into actionable strategies to maintain market leadership. Proficiency in digital analytics platforms (e.g., Google Analytics, Tableau, Metabase, Content Square) to measure performance metrics and implement data-driven improvements. Knowledge of content management systems (CMS) and merchandising tools to drive website and app performance. Track record of identifying More ❯

market trends and competitive activities, ideally within the Food & Drink landscape, translating insights into actionable strategies to maintain market leadership. Proficiency in digital analytics platforms (e.g., Google Analytics, Tableau, Metabase, Content Square) to measure performance metrics and implement data-driven improvements. Knowledge of content management systems (CMS) and merchandising tools to drive website and app performance. Track record of identifying More ❯

time zones. Strong communication skills with demonstrated executive presence and stakeholder alignment. Preferred Operational Stack/Tools Project & Ops Tools: Notion, Jira, Asana, Airtable, Monday.com Data & BI Tools: Tableau, Metabase, Google Data Studio DevOps Familiarity (Plus): Kubernetes, CI/CD, infrastructure monitoring Web3 Ecosystem Tools: Etherscan, Tenderly, The Graph, Cosmos Hub AI Ops Stack (Plus): MLflow, Weights & Biases, Ray Serve More ❯

time zones. Strong communication skills with demonstrated executive presence and stakeholder alignment. Preferred Operational Stack/Tools Project & Ops Tools: Notion, Jira, Asana, Airtable, Monday.com Data & BI Tools: Tableau, Metabase, Google Data Studio DevOps Familiarity (Plus): Kubernetes, CI/CD, infrastructure monitoring Web3 Ecosystem Tools: Etherscan, Tenderly, The Graph, Cosmos Hub AI Ops Stack (Plus): MLflow, Weights & Biases, Ray Serve More ❯

performance data platforms Experience with data engineering Our current tech stack: Frontend Technologies - React, Material UI Backend & Application Frameworks - Go, Node, RabbitMQ Databases - Postgres, MariaDB, MongoDB, ClickHouse, Redis, JupyterLab, Metabase Data Engineering & Orchestration - Python, Airflow, Kafka, DataHub Cloud & Infrastructure - AWS, K8s DevOps & CI/CD - Git, GitLab CI, DBS, Grafana, ELK, Prometheus, Docker, Docker Compose Why join us? Shape the More ❯

managing various budgets across multiple platforms. Deep expertise in paid search, social, and display programmatic Strong analytical skills and experience utilising tools such as Google Analytics, Excel, Looker, or Metabase Familiarity with attribution models and data tracking (e.g. MMPs like AppsFlyer) Exceptional communication skills and the ability to collaborate across different areas of the business. Passion for experimentation, growth, and More ❯

React frontend, using ShadCN for components, TailwindCSS for styling, React Query for state management Posthog for frontend analytics (events, sessions, feature flags, experiments) BigQuery as the data warehouse, with Metabase for data visualisation. Production data and Posthog events both stream into it so data is in one place Sentry and Google Cloud Logging for monitoring Github Actions for CI/ More ❯