Remote Data Jobs • Data Modeling

Seeking an experienced and highly skilled Business Intelligence (BI) Developer who can translate complex data into actionable insights, and also take ownership of BI solutions from development through deployment. The ideal candidate will have hands-on, in-depth experience with Power BI, data modeling, and a strong business acumen, coupled with the critical soft skills that ensure high-quality solutions.

Develop and maintain the Rackspace business intelligence framework. Lead the design and development of the Business Intelligence architecture and continually refine the BI strategy to align with corporate direction. Serve as the subject matter expert in extraction of information from EFD, Star and Snowflake schemas. Build operational and ad-hoc reports and executive dashboards.

Act as a Senior Data Mining and Analytics Engineer to support a large federal cyber security analytic program. Your work will contribute to the knowledge of how cyber-attacks work, how vulnerabilities are exploited, and the way hostile cyber actors operate.  Utilize your skills to help experiment and prototype future cyber capabilities for implementation at large-scale. Your exceptional skillset will create useful and actionable insight for the customer through the development of analytic solutions

The Data Engineer will play a crucial role in the design, development, and maintenance of the organization’s data architecture, constructing, testing, and maintaining scalable data architecture and infrastructure to meet the business’ growing data needs. The Data Engineer shall also implement methods to improve data quality and reliability while ensuring high levels of availability.

Monarch is looking for a Data Analyst to support our growth & marketing teams and to enable data-driven decision making by building timely and accurate dashboards and reports, diving deep into campaign performance, and contributing to our data infrastructure. The candidate should thrive in a fast-paced environment, be comfortable in ambiguous situations, and can build something new when what is needed doesn’t already exist.

The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. This role supports the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases, while focusing on optimisation of our Data Warehouse.

Advance clinical AI by building scalable pipelines and infrastructure for data ingestion, processing, and analysis. Integrate and standardize diverse healthcare data (clinical, coding, billing) and design resilient, fault-tolerant frameworks and data models leveraging AWS (S3, Lambda, Step Functions, Batch). This role spans the full data lifecycle, shaping the foundation for next-generation clinical AI solutions.

Seeking an experienced Data Engineer to assist with the migration of our Energy Portfolio data from a legacy application to Gentrack Junifer. This contract role involves designing and building scalable data pipelines, data modeling, and collaborating with stakeholders to build analytics solutions. The role delivers progress by improving data and reducing complexity.

Join Next Generation, Inc as an Oracle Cloud Analytics Reporting Lead. Lead the design, development, and deployment of Oracle Cloud Analytics and OTBI reports. Collaborate with business stakeholders to gather and analyze reporting requirements. Develop dashboards and visualizations using OTBI, BI Publisher, and Oracle Analytics Cloud (OAC). Ensure data accuracy, consistency, and performance across reporting solutions. Provide technical guidance and mentorship to junior reporting analysts.

Lead a team to build cutting-edge machine learning models for acquisition credit strategies and credit management programs. Apply your knowledge in data, modeling, and analytical expertise to drive the growth of the business. Collaborate with cross-functional teams to manage the entire modeling cycle including model design, development, evaluation, validation, and performance tracking.