Mid Level Chicago Startup and Tech Jobs

6

Machine Learning Engineer

Stats Perform
Chicago
1 day 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:

DB2 DBA/Data Analyst

OneMain Financial
Chicago
1 week ago
+27
Do you want to join a team that is agile, collaborative, and highly skilled? Here at OneMain you will be part of a DBA team with cross-training opportunities to learn even more about other database platforms. You will perform troubleshooting, possibly of multiple databases, and work with a team that works collaboratively to recommend database techniques that support business needs. You will provide technical support, and participate in the OnCall

Software Engineer

Arturo Inc
Chicago
1 month ago
+21
●  Design and implement major software components, systems, and features for SaaS applications. ●  Translate business problems to technical implementation to customer delivery. ●  Contribute to engineering tools and infrastructure What you bring to Arturo. ●  Extensive experience writing production-ready code. ●  Experience with REST, CRUD APIs. ●  Experience designing, analyzing, and troubleshooting large-scale distributed systems. ●  Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. ●  Experience with modern software best practices. ●  Familiarity with product-engineering concepts like behavior driven development (BDD) and Agile.

Market Operations Analyst

CCC Information Services
Chicago
1 month ago
+39
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
Chicago
3 months ago
+48
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 Scientist

GreenKey Technologies (GK)
Chicago
6 months ago
+13
GreenKey is currently hiring data scientists to lead the development of ground-breaking technologies in the field of speech recognition & natural language processing (NLP) for the financial markets. As a GreenKey Data Scientist, you have influence on our overall NLP strategy by helping define product features, build machine-learning models, drive system architecture decisions, and spearhead industry-best practices. GreenKey Data Scientists have direct lines of communication with clients to have a tight feedback loop between customer problems and machine learning solutions

Data + Analytics salaries in Chicago

Job Title Average Salary Salary Range
Junior Data Analyst $55,200
Min: $36K
Max: $85K
Data Analyst $69,081
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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