25 results
FiltersShape how data drives decisions across the company. This high-visibility, hands-on role blends technical depth with analytical storytelling. You’ll develop scalable dbt models in BigQuery and Looker, define trustworthy metrics, and translate complex data into insights that influence company strategy.
As a Senior Data Analyst at Swan, you will play a vital role in the company's growth by interpreting complex data sets, deriving actionable insights, and enhancing analytics across the company. The company are looking for a data storyteller who can uncover opportunities, influence strategy, and empower teams to make data-driven decisions that shape the future of Bitcoin.
Partner closely with the MetaMask product managers and help shape the future of the leading web3 wallet, generating actionable insights that influence strategic product decisions using exploratory data analysis of complex and high-dimensional datasets, including product event logs, on-chain data and social data. Develop trusted sources of truth, by modeling data in dbt, to measure the performance of new features and product initiatives and incorporate those learnings directly back into the product roadmap.
You are an experienced data analyst with a track record of extracting insights and actionable information from structured data. You have built dashboards for daily review and summarized results for executive stakeholders. You will refine their needs into answerable questions, answer those questions, and work with them until they understand the implications.
Responsible for analytics and reporting used to drive the success of our Sales Department, you will own recurring performance reporting, which operates on a daily, weekly and monthly cadence, as well as contribute to ad hoc data analysis projects. Objective will be to streamline and automate our existing reporting, laying the groundwork for increased participation in ad hoc reporting and strategic initiatives.
Collaborate with Product Managers, Product Operations, and Dev teams to create actionable insights. Monitor product and feature release performance, define success metrics, and provide optimization recommendations. Analyze market data, identify customer behavior and trends, and help design A/B tests. Build data models in dbt and create user-friendly dashboards to support decision-making.
This role will act as the voice of data across tem, acting in a principle capacity without being weighed down by management. Partner with Product, Finance, Marketing, and Customer Success to unlock insights, define metrics, and standardise how data drives decision-making. From analysing feature impact, to sizing new commercial opportunities, to understanding churn and broker performance, your work will shape the future of the product and business.
As an Airtable’s Analytics Engineer, you will play a crucial role in shaping the future of Airtable by deepening our understanding of our product and partnering with Sales, Sales Ops, and engineers. Analytics Engineers build the data foundation for reporting, analysis and experimentation. Using SQL, DBT, and Looker, you will transform data from data warehouse tables into critical self-serve data artifacts that power impactful analytic use cases and empower data consumers.
Ruby Labs is hiring an experienced Senior Data Analyst to join their fast-paced and rapidly growing team. In this role, you will create new reports, improve current ones, and ensure well-modeled data for decision-making. The responsibilities include partnering with Product Owners and Data Teams to create dashboards, analyze user behavior, identify trends, and build robust data models in SQL. You will monitor metrics and provide actionable feedback.
As a Senior Growth Analyst at M-KOPA, you'll turn messy, multi-channel data into clear, trustworthy decisions that grow the business profitably. Your dashboards and models will directly unlock repeat purchase, upgrade conversion, retention and customer lifetime value. You will own the growth measurement framework.