Ruby Labs is hiring a Junior–Middle Data Analyst to join their fast-paced and rapidly growing team. In this role, you will create new reports, improve existing ones, and ensure data accuracy to support informed decision-making. You'll help to build their future data environments and play a critical role in leveraging data for strategic insights.
As a Staff Data Engineer, you’ll tackle complex, cross-functional data challenges, partnering closely with stakeholders across product, engineering, and business teams. You’ll combine strong technical expertise with clear communication and thoughtful collaboration to ensure our data systems are not only technically sound, but also deeply aligned with NerdWallet’s strategic goals. You’ll also design, develop, and maintain data systems and pipelines that serve as the foundation for analytics and product innovation.
Voldex is looking for a Senior Data Analyst to join their high-impact data team. In this role, you’ll go beyond reporting - you’ll uncover critical insights that shape the future of our games and influence millions of players. You’ll partner cross-functionally with Product, Game Design, and Marketing to drive game strategy, optimize the player experience, and deliver measurable improvements through experimentation. This is a senior-level role.
Docker is seeking an exceptional Principal Software Engineer to lead the technical vision and architecture of our Data organization within our infrastructure group. This role will address critical data strategy challenges, building and launching scalable software systems and processes to unlock data at Docker. You will drive technical leadership across data infrastructure, analytics platforms, and revenue-enabling data products while mentoring senior engineers and collaborating with stakeholders across the company.
Drive the technical evolution of data systems that power analytics across the entire company. You'll be responsible for architecting and implementing robust data systems and processes that support Docker's analytic needs while establishing technical standards and best practices for the data organization. The candidate will work closely with cross-functional teams to understand requirements and deliver data solutions that drive business outcomes.
Drive the development, maintenance, and adoption of our foundational data products. You will be responsible for treating our core datasets as a true product—ensuring they are discoverable, reliable, and reusable. This is a critical role enabling data-driven decision-making across the entire organization by providing a single source of truth for key metrics, and empowering our analytics teams with the tools and training they need to succeed.
As a Lead Data Analyst for Operations Analytics with a dedicated focus on Quality, you will play a critical role in supporting our Quality organization and ensuring compliance within Board of Pharmacy and FDA-regulated pharmacy operations. This role focuses on building trusted data solutions that improve quality monitoring, compliance visibility, and process efficiency across Hims & Hers’ operations.
We are seeking a highly skilled Lead Data Engineer with strong expertise in PySpark, SQL, and Python, Azure Data Factory, Synapse, Databricks and Fabric, as well as a solid understanding of ETL and data warehousing end to end principles. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines in a collaborative and fast-paced environment.
Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments. Analyse and interpret large volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits. Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives.
The Lead Enterprise Data Architect (LEDA) co-owns the data architecture principles of METRO and aligns them to the enterprise data strategy. They drive the principles towards business stakeholders to ensure effective establishing of data domains and are on the fore-front of communicating the value of data to the organization to ensure commitment and buy-in to principles and standards. The LEDA works closely with Enterprise Architecture and Process Excellence along existing landscape and in assessing new initiatives for their fit to data architecture principles.