Mid Level Chicago Startup and Tech Jobs

21

Customer Onboarding Manager

SPINS LLC
Chicago
21 hours ago
+25
Given the rapid growth the health and wellness industry is experiencing, the need for our team to expand and provide scalable solutions is ever present. We are looking for an Onboarding Manager to effectively integrate partners to SPINS. The individual who fills this role will provide a positive first experience to new partners, coordinate interdepartmental communication, ensure accurate tracking throughout the onboarding process, and develop way to improve process efficiencies. This position offers the unique opportunity to collaborate with our leaders across SPINS to implement initiatives that educate, engage, and empower customers to achieve their strategic goals. You’ll be in a position to own process improvements impacting both experiences of internal and external partners. You’ll have a direct impact on the company’s ability to expand.

Data Architect

3Cloud
Chicago
2 days ago
+25
Cloud Data Architect drives customer initiatives leveraging Azure data and analytics services (e.g., ranging from SQL Server to SQL Database and SQL Data Warehouse to Cortana Intelligence Suite) to solve the biggest and most complex data challenges faced by enterprise customers. The CDA is a technical, customer facing role, accountable for the end-to-end customer deployment and usage experience for Azure data services. CDAs own the Azure technical customer engagement including: architectural design sessions, implementation projects and/or proofs of concept and pilots.

Medical Researcher

Lumere
Chicago
4 days ago
+42
As a Medical Researcher you will formulate actionable recommendations for value-based device and drug use in health systems. By defining best practices and guiding appropriate selection of devices and drugs through a comprehensive analysis of clinical evidence, you will help create strategies for cost savings and improved patient outcomes. You will take ownership of individual research projects from scoping to publishing, partnering with other members of the research team to create and maintain the research content of our Device and Pharmacy Solutions.

Data Engineer

Kalderos
Chicago
5 days ago
+28
Kalderos is experiencing a unique rapid scale moment and is seeking several development and engineering roles, including a Data Engineer that will be responsible for building world-class software solutions over a wide variety of warehousing, analytics, machine learning and reporting requirements. The ideal candidate is a leader who has extensive experience in data delivery and decision support technologies, has a strong sense of responsibility to customer concerns and who enjoys working in an environment filled with variety, urgency, and continuous personal and professional growth.

Customer Success Manager

Stats Perform
Chicago
1 week ago
+24
As a successful Customer Success Manager at Stats Perform, you'll be responsible for ensuring the success of Stats Perform's products within a designated book of accounts. You will do this by building and managing meaningful client relationships with a consultative approach, allowing you to work closely with the customer in defining and delivering on their strategic goals. You'll leverage these relationships and your knowledge of your clients' business – along with your knowledge of the sports industry and of Stats Perform's product suites – to ensure that clients are receiving the maximum value of their licensed products and recognizing return on their investment with Stats Perform.

Data Scientist - POS Data

SPINS LLC
Chicago
1 week ago
+25
Develop and maintain tools that bridge disparate data sources across the organization to serve data models, dashboards, decision aids, and business case analysis with up-to-date and accurate information. Collaborate with our data scientists on engineering predictive features from our product intelligence database. Prototype, implement, and optimize data new pipelines and architectures that can transform our data to impactful insights. Create robust daily, weekly, or monthly automated processes to deliver impactful work. Create innovative and efficient techniques that better solve the problems we are working on. Assess risks to proposed analytics solutions based on quality of existing data sources and actively develop QA procedures to mitigate those risks. Tailor our syndicated data to retail and CPG business needs in a robust and scalable way. Facilitate knowledge transfer across the business between Product Delivery and Commercial teams.

Machine Learning Engineer

Stats Perform
Chicago
1 week ago
+24
We are looking for a Machine Learning Engineer to build world-class machine learning platform solutions. You will be responsible for empowering data scientists and AI scientists by developing a collection of industry-strength platform services to greatly improve scientists productivity and facilitate innovation. Your responsibilities include, but not limited to:

Solutions Architect - Data

OCC
Chicago
1 week ago
+33
You will be part of the Data team, a diverse group of dedicated engineers who are very passionate about data. As the Data team member, you will be responsible for crafting and building large cloud-based data systems that will serve as the backbone for the enterprise data management and analytics capabilities. You will join the core team responsible for the design, development, and implementation. You will work closely with business and technology partners, internal and external. We will define system architecture, technology stack and its tactical implementation. You will help us take on unique technical challenges associated with handling large datasets and managing streaming data in public cloud and hybrid environments, build large and complex data pipelines, integrate data coming from diverse sources in different formats, implement continuous integration/continuous delivery pipelines, automate everything we can get our hands on, and be part of the API-first design principle implementation. You will have a rare and challenging opportunity to apply your technical skills, knowledge and experience, acquire new skills and grow with us.

Operations Center Engineer

DocuSign
Chicago
1 week ago
+44
• Provide first line troubleshooting and information gathering. • Coordinate efforts among internal teams and the DOC, ensuring issue resolution, and providing ongoing communication across teams. • Collaborate with engineering to drive improvements in DOC processes and tools.  • Provide high quality support following and constantly refining standard operating procedures. • Identify recurring issues and escalate appropriately for permanent resolution.

SR DATA SCIENTIST

Cat Digital
Chicago
2 weeks ago
+38
Caterpillar’s Global Finance organization is focused on increasing analytics-based insights while decreasing transactional efforts. As the Senior Data Scientist, you will play a strategic role, tasked with formulating new and creative ideas for leveraging disruptive technologies to effectively utilize the business’ vast assortment of data. This role includes both day-to-day initiatives and strategic vision development. In this role, you will own and support ongoing operations for the machine learning forecasting capabilities by generating forecasts periodically, recalibrating and rebuilding the models as required, and continuously enhancing the solution. Additionally, you will support future deployment across the enterprise and scope expansion.

Technology Coach

Otus
Chicago
2 weeks ago
+44
We are looking for a talented and highly motivated Technology Coach to help bring the best possible software solutions to educators. As an early member of a growing team, you must possess a strong work ethic and be upbeat, driven, intelligent, well-organized, articulate, share a passion for learning new technologies, and thrive in a fun, fast-paced environment. You will have the opportunity to immediately contribute and see the results of your work in use by students, teachers, parents and district administrators across the country. 

Lead Data Engineer

Discover
North Suburbs
2 weeks ago
+43
Designs and develops complex and critical data projects.Designs and develops real-time processing solutions.Creates and enhances data solutions that enable seamless integration and flow of data across the data ecosystem.Designs and develops data ingestion frameworks, leveraging open-source tools and data-processing frameworks.Develops, implements, and supports application codes and analytical models.

Lead Data Engineer

Senior Principal Data Strategy Analyst

Principal Data Solutions Architect

Principal Data Governance Consultant

Lead Cloud Engineer- Data

Lead Data Solutions Architect

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Lead Analyst (Risk Analysis)

OCC
Chicago
2 weeks ago
+33
The Enterprise Risk Management (“ERM”) department identifies, measures, monitors and reports risks and exposures across the organization through the Enterprise Risk Management Framework, and specifically through several risk programs, including but not limited to: Enterprise Risk Assessments, Risk Event Analysis, Scenario Analysis, Key Risk Indicators and Risk Reporting. The Lead Analyst will provide critical support to the team by assisting with risk assessments and applying aspects of the risk management framework across the process, risk, and control universe. Additionally, the Lead Analyst will help with the risk assessment program activities, coordinate with other control functions, and facilitate appropriate business unit risk governance to ensure alignment to OCC strategy and short-term objectives.

Lead Data Governance Tech Specialist

OCC
Chicago
2 weeks ago
+33
Lead the technical build of the Data Governance tool including code migrations, deployment, and release management. Build common business glossary and taxonomy including the metadata and lineage in alignment with business capabilities within the Data Governance tool suite. Build and lead the Business Intelligence functionality for the data governance program to include predictive and prescriptive analytics. Lead the metadata management and ingest additional data management assets, including custom data assets, ensuring data lineage and source to target data mapping. Create and deploy Data Quality Rules, perform metadata management, and build data lineage using IBM InfoSphere Information Server Suite. Design data quality dashboards using Cognos. Integrate metadata from multiple on-prem, cloud and Big Data/Hadoop sources into the data governance platform. Collaborate with the data platform team to install the data governance layer with AWS leading the transition to a cloud environment. Lead the continuous build and assessment of data profiling standards and analytics of data based on business need. Develop Data Quality Measurement Processes, and create and deploy business and data quality rules over the critical data elements (CDEs) identified based on the business requirements. Lead the initiative with data owners to fix data issues and develop a remediation plan to prevent future data issues. Design and implement Data Governance and Data Quality Dashboards to enable continuous monitoring and reporting. Write and review data governance policies, controls, procedures and standards. *This position qualifies for The Options Clearing Corporation’s Employee Referral Program.*

Data Engineer

SPINS LLC
Chicago
3 weeks ago
+25
Develop and deploy applications for internal use, primarily within quality and operations teams. Strong emphasis on data pipeline automation for continuous data quality audits and alerts. Pair with (XP) and share best practices with engineering and quality teams. Add to our collection of Jupyter notebooks to use for data quality testing. Improve our current quality processes by finding new ways to automate manual tasks.

Cloud Data Engineer

Maven Wave Partners
Chicago
1 month ago
+22
Build and implement complex data solutions in the cloud (AWS, GCP and/or Microsoft). Uncover and recommend remediations for data quality anomalies. Investigate, recommend and implement data ingestion and ETL performance improvements. Document data ingestion and ETL program designs, present findings, conduct peer code reviews. Develop and execute test plans to validate code.

Data Scientist

Maven Wave Partners
Chicago
1 month ago
+22
Leverage company data to drive business solutions for enterprise clients using R and Python. Perform data collection for Data Science operations including Machine Learning. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Assess Model accuracy using common metrics (AUC, F1, etc.) and explain the results to client stakeholders. 

Vendor Relationship Representative II

SMS Assist
Chicago
1 month ago
+35
Develop and maintain positive vendor relations to ensure superior customer satisfaction. • Receive and handle customer calls and email requests for services. • Manage the scheduling and completion of all services assigned by customers. • Manage real-time inquiries while keeping track of and responding to commitments to follow up with customer/vendor inquiries. • Identify, research and resolve customer issues using the company’s web-based systems and databases. • Source new vendors to perform required services, as needed. • Resolve or escalate all disputes or un-satisfied service confirmations. • Maintain open communication with Vendors in a manner that adheres to all contracts and agreed upon Scope of Work throughout the duration of the relationship.

Business Analyst

Lead Information Governance and Privacy Analyst

OCC
Chicago
3 months ago
+33
The Lead Information Governance and Privacy Analyst is responsible for supporting the development and implementation of OCC’s information governance, data protection, and privacy program. This includes supporting the development of strategies, policies, and procedures related to the governance and protection of data throughout its lifecycle. In addition, the role will work with stakeholders to define the information governance, data protection, and privacy requirements for external organizations with whom OCC has a business need to share information; will facilitate compliance with the identified requirements to control risk; will represent the program to internal and external stakeholders; and will support the development and implementation of training and awareness programs.    

Data and Analytics Staff Consultant

Analytics8
Chicago
6 months ago
+17
Strong knowledge of BI/DW development methodologies, dimensional modeling, standards and procedures. Intermediate level SQL experience. Significant Experience in one or more of the following toolsets: Data Integration Tools (ETL), Business Intelligence Products, and Data Visualization Tools. Design and implement effective test cases. Develop complex business logic using advanced tools to transform and cleanse data. Create industry standard technical artifacts for project delivery. Experience with an industry data modeling tool Industry Relevant Certification(s). Basic understanding of network and system architecture. Contribute to high quality project documentation and other project artifacts. Scrutinize functional requirements, specifications and source to target mapping documents, identifying underspecified requirements and other design challenges.

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