The Executive Assistant will provide high-level administrative support to executives, managing their schedules, coordinating meetings, handling correspondence, and organizing travel. Responsibilities include preparing meeting materials, managing banking operations, maintaining confidentiality, and assisting with other tasks as needed.

The Senior Learning & Development Executive coordinates and administers learning and development activities, maintains records, manages logistics for training sessions, assists in content creation, evaluates training processes, and develops positive relationships within the organization.

The Partnership Consulting Lead will manage partner sales for Financial Services accounts, focusing on relationship building and executing go-to-market strategies. Responsibilities include consulting on analytics solutions, coordinating with sales teams, and driving growth through existing partnerships.

The Event Marketing Manager will strategize, plan, and execute high-impact events to position Sigmoid as a leader in the data and analytics sector. Responsibilities include event strategy and planning, management and execution of sponsored events, collaboration with internal and external stakeholders, and budget management.

The Manager in the Founder's Office will work closely with Senior Management to address organizational challenges, develop processes for scalability, and execute critical projects. Responsibilities include financial planning, KPI tracking, and creating presentations for stakeholders, all while maintaining a hands-on entrepreneurial approach.

The Business Presentation Specialist will create and design high-quality PowerPoint presentations in line with brand standards, transforming complex information into visually appealing slides, while collaborating with various departments and meeting tight deadlines.

As a Data Scientist at Sigmoid Analytics, you will conduct hypothesis testing, generate insights, develop statistical models, improve model accuracy, and extract data from various platforms. You’ll work in a fast-paced environment and leverage machine learning techniques to solve problems and analyze data.

The Senior Manager of Analytics will engage with clients to understand their business context, translate business problems into analytical structures, and manage teams of data analysts to deliver solutions. Key responsibilities include developing algorithms, enhancing BI reports, and collaborating with data analysts and engineers to integrate analytics into decision-making.

The Talent Acquisition Executive will manage the entire recruitment process for Data Engineering roles, including sourcing, interviewing, and extending offers. Responsibilities also include ensuring a positive candidate experience and analyzing recruitment data to optimize the hiring process.

As an Engagement Manager, you will lead Data Science and Analytics projects by formulating strategies, engaging with enterprise customers, and ensuring successful project delivery. You will liaise with stakeholders, manage a team, and analyze data to provide solutions, while also handling customer relations and presentations to executives.

The BI Solution Architect at Sigmoid Analytics will design, scale, and optimize BI systems, ensuring data-driven decision-making for clients. Responsibilities include collaborating on BI solutions, architecting data models, guiding project lifecycles, and innovating BI practices with emerging technologies. Strong client consulting experience is required, along with proficiency in various BI tools and cloud data platforms.

As a Technical Lead, you will build a scalable big data platform, interface with clients, provide technical leadership, and develop solutions in a fast-paced environment while guiding junior staff and staying updated on new technologies.

The role involves engaging with clients to understand their business context, mapping business processes, translating problems into analytical frameworks, managing a team of data analysts, and collaborating with data scientists to integrate AI and analytics into business decisions.

As a DevOps Lead, you will design and manage scalable data pipelines, interface with Fortune 500 clients, oversee automation of DevOps processes, support application integration, and provide technical leadership to drive efficient engineering practices.

The Director of Analytics will lead the data science team, manage a diverse team of Data Analysts, and design solutions for complex customer problems. Responsibilities include overseeing project schedules, collaborating with Data Engineering, and ensuring customer deliverables are met. The role requires strong analytical skills, effective communication with stakeholders, and a solid background in data analytics.

The Associate Lead Data Scientist will engage with clients to solve complex data science and machine learning problems, manage end-to-end AI and analytics programs, and guide a team of data scientists in delivering solutions. Responsibilities include developing predictive models, project management, and building client relationships.

The Sr DevOps Engineer will design and manage scalable data pipelines, align initiatives with key clients, support technical projects, drive automation, and provide technical leadership. The role involves interfacing with clients, developing CI/CD practices, conducting training, and ensuring effective communication across diverse teams.

The UI/UX Designer will create and implement user experience designs, build interactive data visualizations, and develop storyboards for project plans. Responsibilities include refining designs based on feedback, ensuring consistent user experience, and collaborating with visualization teams.

As a Technical Project Manager, you will lead a team to build a scalable big data platform and engage with high-level clients to align technology solutions with business needs. Key responsibilities include defining delivery plans, managing a development team, and overseeing the architecture of enterprise-scale applications.

We are seeking an experienced Java Developer with 6 to 9 years of hands-on experience to design, develop, and maintain Java-based applications using Spring Boot and microservices architecture on cloud platforms like AWS or Google Cloud. Candidates will work collaboratively, optimize applications, and solve complex technical problems.