Partner with Solution Architects, Sales Strategy, and Ecosystem teams to translate pre-sales questions into clear analytical requirements.
Design and build AI and analytic solutions that provide actionable insights for trial management, win rates, adoption, and conversion.
Use segmentation, cohort analysis, and experimentation to inform scaled engagement strategies and advocate for data quality.
GitLab is an intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity and accelerate digital transformation. It is trusted by over 50 million registered users and more than 50% of the Fortune 100, and fosters a high-performance culture driven by values and continuous knowledge exchange.
Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform.
Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics.
Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be.
Jerry.ai is building the first app to manage car and home ownership, starting with car insurance and expanding into adjacent verticals. The company has 5M+ customers, raised $240M+, and became profitable in early 2024, with a culture of impact and no corporate fluff.
Lead analytics initiatives and design scalable reporting solutions for clinical trials.
Collaborate with cross-functional teams to gather requirements and ensure data accuracy.
Develop and maintain interactive dashboards using BI tools like Spotfire.
This company is a clinical research organization that leverages data analytics and technology to improve clinical trial outcomes. The size and culture are not detailed, but it emphasizes a collaborative, global research environment.
Define data architecture and platform strategy for enterprise data platforms.
Build and optimize scalable data pipelines supporting batch and real-time processing.
Mentor junior engineers and partner with leadership on data strategy.
Robots & Pencils is an applied AI engineering firm building AI co-workers for enterprise operations. Founded in 2009, with delivery centers across North America and Europe, our teams average 15+ years of experience and we value craft, speed, and ownership.
Analyze operational performance data to identify trends, inefficiencies, and improvement opportunities in cybersecurity operations.
Collaborate with security teams and leaders to optimize workflows, enhance efficiency, and drive continuous improvement.
Define and monitor performance metrics, develop dashboards, and integrate AI tools to improve data interpretation and decision-making.
The employer is a cybersecurity partner company that improves security operations through data-driven insights. They offer a remote-first environment with a comprehensive employee experience, supporting professional growth and well-being.
Evaluate and assess AI model outputs based on predefined quality, accuracy, relevance, and behavioral guidelines.
Annotate, classify, and label text, images, or audio to support AI model training.
Create prompts and generate high-quality responses to improve language model reasoning capabilities.
Jobgether uses an AI-powered matching process to connect candidates with hiring companies. They focus on efficient, fair recruitment and handle data privacy in compliance with GDPR.
Own discrete analytics projects from start to finish with senior analyst guidance.
Build and maintain dashboards for Product and Technology teams to track progress.
Work with clickstream and behavioral data (Amplitude) to understand user product journeys.
1Password builds enterprise password management and Unified Access Management cybersecurity solutions. With over 180,000 business customers and a spot on the Forbes Cloud 100, they foster a human-centric, collaborative, and fast-paced remote-first culture.
Design, build, and maintain scalable data pipelines for processing large volumes of transactional data.
Develop and own end-to-end data models, transformations, and analytics solutions for business intelligence and machine learning.
Evolve cloud-based data platforms and establish data quality practices to prepare for AI-powered use cases.
The company builds and scales data infrastructure for next-generation customer experiences and analytics platforms. It is a fast-growing technology company with a fully remote, collaborative culture.
Lead and mentor a data engineering team, providing technical direction and support.
Design and maintain scalable data architectures, including ETL pipelines and data warehouses.
Partner with marketing and business stakeholders to translate data needs into technical solutions.
The partner company is a data-driven organization focused on e-commerce and marketing analytics. It operates remotely with a collaborative culture and emphasizes innovation.
Document the existing Qlik environment including architecture, bottlenecks, and support requirements.
Design, develop, optimize, and troubleshoot Qlik Sense applications while engaging with business stakeholders.
Administer QlikCloud including DataGateways, Automation, and Governance to manage sensitive data.
We are building a dedicated Business Analytics pod within Shared Technology Services to drive continuous improvement across analytics capabilities. We are a team focused on strategic support and ownership of Qlik functions, aiming to document and optimize existing environments.