Mid Level Chicago Startup and Tech Jobs


Sr. Data Scientist/AI Scientist

Stats Perform
20 hours ago
Researching, developing, and implementing the most innovative machine learning and computer vision techniques to Stats Perform's wealth of sports data (both structured and unstructured). Productizing artificial intelligence based solutions along side engineers and product teams. Providing technical guidance to product teams on the artificial intelligence (machine learning and computer vision) approaches appropriate for a task. Patenting the innovative solutions.

Data Engineer

Farmer's Fridge
5 days ago
As a data engineer within Farmer’s Fridge’s data engineering team, you will be responsible for helping build out a scalable foundational data platform that will serve the diverse reporting, analytic and decision-making needs of the company. You will be working on a cloud-native, real-time and event-driven architecture with a strong focus on decoupled storage and compute. The foundation that you build will be instrumental in solving our most pressing needs as a business.

Machine Learning Engineer

Stats Perform
5 days ago
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:

Business Analyst Sr

1 month ago
Partner with clients and CSG team members to translate client business rules into documented software requirements. Ability to lead a project team  and also work independently. Lead tasks such as solution identification, and solution configuration. Provide subject-matter expertise, customer advocacy, and analysis through all phases of engagements. Play a pivotal role in client management. Lead a specified work stream within a project. Ability to manage multiple assignments/projects at the same time. Leveraging internal and external tools that integrate with client systems. Ability to communicate effectively with internal project managers as well as front end and back end developers. Manage and assist in completion of project deliverables in a timely fashion. Act as a liaison between a client and internal technical teams. Ability to read and understand technical requirements documents and online documentation.

Market Operations Analyst

CCC Information Services
1 month ago
Partner with internal and external business partners to identify data needs, understand their specific requirements for metrics and analysis, and build and own robust reporting that powers internal analytics for all teams. Analyze and interpret data to formulate insights that will help drive business decisions, as well as prepare presentations and data visualizations to communicate findings and recommendations to executive level stakeholders. Retrieve and process data from multiple sources to maintain a centralized SQL database and ensure quality and reliability of consolidated data. Set up standard and best practices for data management, including manipulating, cleaning, pre-processing, and mining large structured datasets. Proactively identify actionable opportunities across the existing data ecosystem, identify gaps and recommend improvements to increase efficiencies around data collection and reporting. Build ongoing reporting and develop operational reporting dashboards to provide visibility on strategic initiatives. Perform ad hoc reporting and analysis on identified business problems. Produce accurate and reliable reporting to track transactional data, market trends, end-user behavior, and user engagement with the software platform.

Data Engineer

Brad's Deals
3 months ago
In this role, you will focus on the design, implementation, operation, and refactoring  of data management systems to meet the Brads Deal's business needs. This includes designing how the data will be stored, consumed, and integrated into our systems.  You will take business requirements, transform them into data models, and develop ETL processes to populate those models.  We are a small (and growing) team so it's important that you enjoy working a project from end­-to-­end. You will identify, design, and implement internal improvements to how we process data.  This could include automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability. You should have hands-on experience with a variety of the data warehousing concepts and practices, covering both technical development  as well as ‘not­-necessarily technical practices’ such as data governance.   This list of experiences includes data manipulation, database partitioning, data structures, data management, and best engineering practices.

Data + Analytics salaries in Chicago

Job Title Average Salary Salary Range
Junior Data Analyst $55,200
Min: $36K
Max: $85K
Data Analyst $69,299
Min: $42K
Max: $150K
Junior Business Analyst $72,000
Min: $72K
Max: $72K
Business Analyst $74,786
Min: $35K
Max: $180K
Business Intelligence Analyst $83,996
Min: $45K
Max: $135K
Senior Data Analyst $85,591
Min: $60K
Max: $135K
Business Intelligence Developer $94,680
Min: $70K
Max: $126K
Senior Business Analyst $96,467
Min: $67K
Max: $150K
Junior Data Scientist $106,000
Min: $106K
Max: $106K
Data Scientist $110,672
Min: $45K
Max: $155K
Analytics Manager $110,843
Min: $80K
Max: $163K
Data Engineer $117,627
Min: $65K
Max: $165K
Business Intelligence Manager $130,000
Min: $115K
Max: $140K
Senior Data Engineer $134,000
Min: $120K
Max: $162K
Senior Data Scientist $138,135
Min: $47K
Max: $215K
Data Architect $141,364
Min: $68K
Max: $190K
Database Administrator $142,800
Min: $130K
Max: $166K
Director of Analytics $153,492
Min: $103K
Max: $250K
Data Engineering Manager $200,667
Min: $182K
Max: $210K
CIO (Chief Information Officer) $235,194
Min: $157K
Max: $325K

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