As a Data Scientist focused on product growth, you will uncover and drive the insights that accelerate activation, retention, and revenue growth across our Creative Platform. You’ll define and instrument metrics that measure the health of the creator journey, identify growth levers, and help us prioritize features and experiments that expand engagement and monetization.
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We’re looking for a Compliance Senior Data Analyst with deep SQL expertise, strong logical reasoning skills, and the ability to use Python, APIs, or similar tools to automate data workflows. This role contributes to the Global Regulatory Reporting team, which is responsible for meeting our global licensing and tax reporting obligations.
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.
Analyze large, complex datasets (on-chain and off-chain) to derive strategic and product insights. Develop models and dashboards to monitor validator performance, user behavior, and protocol performance. Investigate network economics, user incentives, and staking flows to support growth strategies, research new revenue opportunities. Conduct exploratory and root-cause analysis of ecosystem or performance changes. Build data tools and reporting frameworks to scale internal decision-making. Present insights and data stories clearly to technical and non-technical audiences.
Join our growing Data Team as a Staff Data Scientist, driving the development of cutting-edge data, machine learning, and AI solutions that optimize procurement for enterprise customers. Take ownership of major data science initiatives such as entity resolution, pricing algorithms, demand forecasting, recommendations, and automating workflow decisions, while collaborating with cross-functional teams.
Support the migration from Synapse to Databricks across multiple data streams. Design and implement scalable solutions for initial data load, data mart and consumption layer, and Reporting and Power BI integration. Collaborate with product and business teams to understand requirements and deliver data-driven solutions. Optimize data pipelines for performance, scalability, and reliability.
The Senior Database Administrator will manage and optimize enterprise-level databases. Responsibilities include ensuring high availability, security, and performance; managing Databricks workspaces; troubleshooting database issues; implementing performance tuning; and collaborating with data engineering teams for data ingestion and integration processes. They will also maintain compliance with company policies and HIPAA requirements.
Work on a variety of impactful customer technical projects inclusive of implementation, troubleshooting configurations, instilling best practices, and solutioning MVPs and long term solutions to customer specific requirements. Consult on architecture and design and ensure our most strategic enterprise customers are adopting the product. Provide critical feedback to dbt Labs product and engineering teams to improve and prioritize customer requests.
You will play a crucial role in ensuring the integrity and quality of data across our applications and services, collaborating with solution architects and business analysts to translate solution requirements into actionable data requirements. Maintaining high-quality standards and driving improvements in data processes will be key.
SmarterDx is looking for a Data Engineering Manager, Integrations to manage a data engineering team. You will scale new‑client onboarding, raise the bar on data quality and governance, and ensure resilient, observable, and cost‑effective ELT pipelines. You will set objectives, mentor engineers, and partner with other teams to deliver outcomes.