Search the 45 jobs at Blend360

As a Senior Tableau Developer, you'll manage end-to-end BI projects, including data modeling, report building, and dashboard creation. You'll collaborate with clients to provide actionable insights through visually compelling Tableau dashboards while writing efficient SQL queries for data extraction and analysis.

As a Senior Manager, you will lead project development in private investment banking, ensuring alignment with management's strategic vision. You’ll engage in hands-on coding, mentor junior developers, and collaborate with cross-functional teams to deliver innovative solutions. You'll also contribute to system design and stay updated with industry trends.

The Lead Marketing Data Scientist will analyze client needs, customize business processes, and develop analytics tools to provide insights into customer acquisition and business performance. Responsibilities include statistical analysis, predictive modeling, and working with large data sets, while collaborating with clients and teams.

The Product Manager at BLEND360 will define product strategy, collaborate with engineering and business teams, and manage user stories while improving processes. They will also stay updated on industry trends to recommend enhancements for services and tools.

The Client Partner leads account strategy and growth execution while managing client relationships for successful outcomes. They identify new business opportunities, negotiate pricing, manage a pipeline of leads, and ensure client satisfaction by facilitating the right talent and service offerings to clients.

The UI Developer will implement user interface designs, optimize front-end performance, and ensure responsive layouts. Responsibilities include developing reusable component libraries, collaborating with back-end developers, writing efficient code, and mentoring junior developers.

As a DevOps Engineer at Blend, you will optimize systems, enhance observability, and support infrastructure and development teams. Responsibilities include managing Kubernetes clusters, maintaining CI/CD pipelines, implementing monitoring solutions, and participating in on-call rotations to ensure system reliability and performance.

The Marketing Operations Analyst will manage the execution of marketing campaigns, ensuring compliance with legal and regulatory standards while delivering on marketing and financial goals. They will collaborate with various stakeholders and contribute to campaign preparation, submission, and effective delivery, while continuously seeking out best practices.

The role involves leading marketing strategy initiatives, improving client experiences, managing campaigns, and building strong relationships with stakeholders. The Senior Marketing Manager will provide expertise and oversight in payment marketing while nurturing and growing client partnerships. They will also coordinate complex projects and deliver innovative marketing solutions.

The Analytics Analyst will assist in generating reports and dashboards using Adobe Analytics, preparing insights, and collaborating with the team for data-driven decisions. The role involves using report automation and log-level click-stream data for analysis, along with supporting ad-hoc reporting requests.

As a Senior Data Scientist, you will work closely with business leaders to solve diverse business challenges using data-driven solutions. Responsibilities include developing data pipelines, assembling complex datasets, performing data analysis, and deploying predictive models. You will also collaborate with clients to align strategies and deliver measurable outcomes.

The Lead/Manager of Data Science will oversee multiple projects from inception to conclusion, manage a team of analysts, contribute to business development, and design data science solutions. They will utilize skills in predictive modeling and have robust experience in data cleaning, analysis, and machine learning, specifically in commercial settings.

The Project Manager will lead strategic initiatives to optimize and improve customer experience in the financial services sector. They will develop action plans, manage multiple projects concurrently, and drive change across cross-functional teams, while staying adaptable and focused on achieving outcomes with limited direction.

The Manager AI and Data Engineering will lead a team of data engineers and data scientists, managing the development of data pipelines, and automation using AI methods. Responsibilities include ensuring high performance, collaborating with AI R&D teams, maintaining data integrity across products, and advising leadership on AI-driven strategies.

The Senior UI Developer will implement user interface designs, optimize front-end performance, and ensure compatibility across devices while maintaining reusable component libraries and integrating with back-end APIs. Responsibilities include collaboration with stakeholders and mentoring junior developers in a fast-paced environment.

The Product Manager will define product strategy, collaborate with engineering and business stakeholders, write user stories, and improve processes to enhance customer experience. They will stay current on industry trends and ensure cohesiveness with other product managers and designers.

As a Data Engineer, you will develop and manage data pipelines, design databases, and implement systems for data flows while ensuring best practices are followed. You will work with various technologies and collaborate effectively with team members and stakeholders across time zones.

As a Lead Data Engineer at Blend, you will lead a data engineering squad to develop analytical infrastructures and pipelines, oversee project delivery, manage a team of Data Engineers, communicate complex concepts to stakeholders, and uphold high engineering standards while supporting business development efforts.

As a Tableau Analyst, you will design and maintain dashboards and reports for credit portfolio analysis, collaborate with teams to gather requirements, analyze data for trends, and present findings to stakeholders. This role also involves using SAS for data manipulation and ensuring data accuracy.

The Lead Analyst will specialize in Google Analytics implementation, leading and executing data collection and reporting strategies. Responsibilities include developing measurement plans, resolving tracking issues, implementing analytics in mobile apps, and working with cross-functional teams to optimize data insights.