Top Tech Jobs & Startup Jobs in Chicago, IL

The role involves developing and maintaining customer relationships, securing new business opportunities, ensuring customer satisfaction, and driving sales in complex enterprise environments, particularly in supply chain and operations solutions.

As a Senior Data Analyst at Mission Lane, you will drive analytical outcomes for the Customer Growth team by analyzing campaign performance and implementing data-driven strategies that enhance decision-making. You will automate data processes, improve analytics systems, and provide insights to both technical and non-technical teams, ensuring high-quality results in data-driven decisions.

The Lead Buyer is responsible for procuring materials, supplies, and services for C5ISR clients, negotiating with vendors, ensuring order completion, and leading a team of Buyers on major contracts while adhering to procurement policies.

The Senior Database Reliability Engineer at EverWell will manage database reliability, support database-related projects, provide technical assistance to development teams, and advocate for DevOps principles. This role also involves capacity planning, performance tuning, and mentoring other database professionals.

The Client Relationship Executive will manage and cultivate relationships with clients, ensuring high satisfaction and operational excellence. Responsibilities include overseeing client needs, developing strategies to improve their experience, and acting as the voice of the client within the organization. The role involves maintaining long-term partnerships and driving value through Enlace's services.

The Program Manager will oversee the execution of contracts for the US Department of Homeland Security, ensuring projects meet specifications and regulations while managing a large team and budget.

The Senior Data Analyst at MNTN will analyze data, create visualizations, and support data analysis needs within the Production Operations team. Responsibilities include conducting analytics for stakeholders, debugging data incidents, and collaborating on product improvements based on data insights.