Remote Data Jobs • SQL

As a Data Analytics Manager at an early stage and high-growth company, you’ll play a critical role in turning raw data into insights that shape product decisions, drive strategy, and improve the customer experience. This is a hands-on leadership role for someone excited to define and execute a modern data strategy in a high-growth environment.

As a Data Engineer III at Spreetail, you will lead impactful, cost-effective, and scalable data solutions that empower innovation across the organization. You will be accountable for the systems you build, the business outcomes they drive, and the elevation of data engineering practices across teams. The role involves designing and implementing reliable data pipelines, championing data quality, and collaborating with various teams.

The Data Modeler will work closely with Business and technical SMEs to understand data consumption and reporting needs. They will understand source system data structures and be responsible for developing conceptual, logical, and physical schemas for landing, integration, and analytical layers. The role involves designing and developing mappings of source system data elements with a common data model and coordinating with ETL specialists on data mappings.

The BI Developer designs and builds insightful reports and dashboards, ensuring data is effectively transformed into actionable insights that support business needs. The ideal candidate will have strong SQL skills and experience in report development.

This Data Engineer II role is to build robust, scalable, and accurate data systems that empower operational and analytics teams to make informed decisions and drive positive outcomes. Responsibilities include translating business needs into effective data solutions, architecting and implementing ETL workflows, conducting rigorous testing, identifying process improvement initiatives, and resolving data-related issues.

We are seeking an experienced Staff Engineer – Data Platform and Lakehouse to lead the design and implementation of our cloud-native Data Platform that support AI, advanced analytics, and machine learning applications in our ecosystem of B2B SaaS applications in the FinTech vertical.

Develop our scalable cloud-based data backbone which drives our data-driven company using the most up-to-date technologies in the data space. Shape an AWS-based batch data processing and data streaming solution, ingesting data from our internal backend services as well as from third parties. Create a financial data warehouse combining the latest technologies with features required due to regulatory needs.

We’re looking for a highly motivated and experienced Customer Experience Business Intelligence Analyst to become a key player on our Customer Experience (CX) Strategy & Operations team. This role is perfect for someone who’s passionate about uncovering insights and crafting compelling visual narratives. If you are passionate about complex problem-solving and motivated by scale, then this is the role for you!

The client analytics team is responsible for developing our portfolio of reports and data insights that communicates the value of Omada brings across employer and payer populations. They partner with customer success teams to provide focus and effective data-driven narratives across over 1.5k customers and 600k members. Using data spanning app engagement, clinical outcomes, behavioral health indicators, and claims.

This role requires a unique blend of analytical skills, client-facing communication, and a passion for data purity, big data analysis, and machine learning. Involves using tools like Google BigQuery, Data Studio and Python Notebooks to help clients build insightful marketing strategies. Offers career growth in a tech focus or a client/people focus.