Design, build, and improve production data models and products using SQL, dbt, Python, and BigQuery.
Turn business and customer questions into scalable solutions, owning delivery from scoping to actionable insights.
Partner with Product, Data Science, Engineering, and other teams to define requirements and manage expectations.
Lighthouse is a commercial strategy AI platform for hospitality, turning hotel data into real-time intelligence to drive revenue. With 850+ employees across 35 countries and over $100M in ARR, the company fosters a collaborative, innovative culture focused on customer success.
Own business intelligence reporting and analytics, transforming raw data into clear, dynamic reporting that drives decision-making across the company.
Design, build, and maintain compelling reporting in Looker, and work directly with stakeholders across Sales, Marketing, Customer Success, Product, and Finance.
Write clean SQL, build data models in dbt, and analyze large datasets to provide solid recommendations to leadership.
Teramind is a global leader in user behavior analytics, insider risk management, and workforce intelligence, using a predictive, AI-driven approach to safeguard organizations' people, data, and operations. They have been a fully-remote team since 2014 and offer competitive compensation and career growth opportunities.
Design and build robust data models and dashboards using dbt and modern BI tools like Count to support merchant and issuer success.
Develop analytical frameworks for merchant segmentation, performance metrics, and campaign measurement to drive strategic decisions.
Collaborate cross-functionally with sales, account management, and product teams to deliver analytics that support revenue growth and operational efficiency.
Kard is transforming customer loyalty with a rewards-as-a-service API platform, empowering partners from neobanks to financial institutions to offer tailored rewards. Backed by $30M from industry-leading investors, the company is reshaping customer engagement with a small, remote-first team.
Build and maintain data models and transformations powering reporting in the Skimmer product using Fivetran, dbt, and Sigma Computing.
Manage and extend data ingestion across growing sources, develop transformations in Python and SQL against Snowflake.
Partner with product and engineering to turn customer needs into reliable, performant reporting experiences.
Skimmer builds a product that helps pool professionals understand and grow their businesses through data models and customer-facing reports. The company has a strong culture with a very high eNPS, emphasizing hard work, celebrating wins, and continuous improvement.
Data-Driven Culture: You will be an ambassador for our data-driven culture, shaping data to facilitate analysis and decision-making.
Data Management: You will ingest, clean, and organize raw data for team use.
Project Management: You will lead data projects from ingestion to reporting, handling ambiguity.
Super.com helps maximize lives by offering travel and financial products. As a fast-paced, high-growth tech company, we prioritize employee growth and career progression.
Take ownership of our dbt pipeline, improving data models for reliability and testing.
Maintain and extend our Looker setup, shipping new dashboards for stakeholders.
Strengthen data pipelines from Postgres to BigQuery and automate with Python.
Cosuno is a fast-growing tech startup revolutionizing construction through a digital platform for tenders and procurement. With a focus on diversity and inclusion, the team enjoys regular off-sites and a collaborative culture.
Collaborate with Finance stakeholders to understand requirements and deliver data models for financial reporting.
Build and maintain dbt models across the full modeling stack following layered dimensional modeling practices.
Apply software engineering best practices to analytics code: version control, testing, CI/CD, and documentation.
Seismic is a software company that provides a sales enablement platform. The Corporate Data & Analytics team builds data assets for financial reporting and planning across the business.
Build and maintain analytical tooling and data infrastructure for Reddit's Large Customer Sales channel using BigQuery and SQL.
Drive sales rigor and optimize performance by translating complex data insights into actionable business strategies.
Partner with cross-functional teams including Sales, Finance, and Data Science to shape revenue strategy and build AI-ready data foundations.
Reddit is a community of communities, built on shared interests and authentic conversations. With over 100,000 active communities and approximately 126 million daily active users, it is one of the internet's largest information sources, fostering an open and passionate culture.
Own funnel monitoring, diagnose drop-off drivers using SQL and Python, and deliver actionable recommendations.
Build and maintain dbt data models in Snowflake and Periscope dashboards for marketing reporting.
Partner with cross-functional teams and use AI tools to accelerate analysis while ensuring correctness.
NinjaHoldings provides digital banking and lending products to empower people overlooked by traditional financial institutions. They are a lean, innovative team with offices in Chicago, Miami, and globally.
Act as bridge between business and technology, translating complex requirements into robust technical solutions.
Own the complete lifecycle of data products from ingestion through modeling, validation, and delivery.
Implement rigorous data validation processes and ensure data accuracy and integrity for AI and analytics.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25 countries, they accelerate innovation and collaborate to build impactful solutions.
Apply analytics methods to gain insights across go-to-market teams such as conversion funnels and attribution.
Consolidate diverse findings into compelling narratives that can be applied across the company.
Advocate for data-informed decisions by partnering with key stakeholders and senior leaders.
Tremendous is a platform for sending bulk payouts to people in over 230 countries. With 20,000+ customers and over $1 billion sent, the company is profitable and fully remote with a high-documentation, low-meeting culture.
Lead the Analytics Engineering team to build a trusted semantic metrics layer powering decision-making across the company.
Partner cross-functionally with Engineering, Product, Data Science, Finance, and Executive Leadership to define data strategy and ensure scalable, accessible data.
Drive technical excellence in data modeling, governance, and infrastructure while managing and developing a high-performing team.
HighLevel is an AI-powered business operating system that provides agencies, entrepreneurs, and SMBs with infrastructure to build, automate, and scale their operations. With over 2,000 team members across 10+ countries, we operate as a global, remote-first organization built for speed and ownership, fostering a culture of initiative, clarity, and execution.
Partner with product and business teams to drive rigorous analysis, from root cause to funnel drop-off, and turn data into prioritized recommendations.
Define and maintain metric definitions, set up tracking, and build automated reporting with alerting for KPI changes.
Design and interpret experiments, model data in dbt and BigQuery, and create AI-assisted analytics skills to scale impact.
We are building the operating system for value movement, enabling crypto, stablecoins, and tokenized assets. With 30M+ customers and 500+ ecosystem partners, we maintain a high-standards, high-velocity culture and are regulated across multiple regions.
Build reusable data models and pipelines to become the source of truth for the Video product team.
Establish data and analysis infrastructure for scalable A/B testing and experimentation.
Develop predictive and causal models to improve forecasting, retention, pricing, and product strategy.
PlayOn is the largest platform for high school sports in the US, reaching millions of fans, parents, coaches, and student athletes across NFHS Network, MaxPreps, and GoFan. Backed by KKR, we are a growth-stage company on a mission to make high school sports more accessible, more memorable, and more connected than ever before.
Build and scale reliable data infrastructure powering analytics, AI-driven decision-making, and smarter growth across n8n.
Own critical parts of the modern data stack, including end-to-end data pipelines using dbt on BigQuery and orchestration with Dagster.
Enable analytics, AI use cases, and marketing attribution by delivering trusted datasets and scalable data products.
n8n is an open workflow orchestration platform built for the new era of AI, giving technical teams the freedom of code with the speed of no-code. The company has grown to a team of over 260 across Europe and the US, backed by top investors, with a culture of builder spirit and remote-first collaboration.
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.
Own and maintain the GTM intelligence layer, including dashboards and data models for decision-making.
Build and train AI models in BI tools to enable natural-language querying.
Partner with data engineering to optimize performance and build missing data pipelines.
Primer provides unified infrastructure for global payments, giving finance and payments teams visibility and control to reduce complexity and improve performance. Backed by top investors, they are building a remote-first culture with a collaborative environment and strong support.
Partner with stakeholders to understand recurring data needs and build self-serve analytics solutions such as trusted datasets and templates.
Design and implement scalable tools using SQL, Python, and BI platforms like Looker to improve data access and usability.
Create training, documentation, and enablement sessions to teach teams how to find and analyze data independently.
Fullscript is a health technology company that builds tools to help practitioners deliver better care through clinical insights, lab interpretations, and patient analytics. With over 125,000 practitioners and 10 million patients, they foster a people-first, collaborative culture focused on impact and growth.
Build and maintain gold-layer data models and a governed metrics layer in Snowflake using dbt, pushing transformation logic upstream.
Design dashboards and analytics experiences in an enterprise BI platform, optimizing for high-volume data and performance.
Develop with AI-native tooling, including coding agents, to accelerate model development, documentation, and testing.
RxSense is a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. As a leader in SaaS technology for healthcare, they offer innovative solutions with integrated intelligence on a single enterprise platform, connecting the pharmacy ecosystem.
Author and maintain dbt models and PySpark transformation jobs for RWD data pipeline engineering.
Own the channel partner data inquiry queue, resolving standard requests and conducting root cause analysis.
Follow SDLC best practices, manage engineering work through Jira, and apply CI/CD via GitHub.
Arcadia helps innovative providers and payers transform healthcare by aggregating disparate data, applying algorithms to improve patient care. The company is a fast-growing market leader in population health management, recognized by KLAS, IDC, Forrester, and Chilmark.