Chicago Tech Jobs and Startup Jobs

21

Business Solution Analyst - Business Intake &…

iManage
Chicago
1 day ago
+32
Our Business Solution Analysts are responsible for defining and delivering our iManage Business Intake and Conflicts Manager products to our clients. You will discover and document business requirements and translate those requirements into technical solutions and related specifications. You will be a part of a dynamic team and help shape the way our team will continue to grow. Our Business Solution Analysts provide billable solution analysis and project management work to continue to enhance our customer relationships. We’re looking for individuals that are hungry to learn and want to become a subject matter expert within our iManage Business Intake and Conflicts Manager product space. If this sounds like you, see below for more of what you can expect!

Senior Technical Solution Analyst - Business Intake & Conflicts Manager

Jr Data Analyst

Kalderos
Chicago
3 days ago
+25
The Jr. Data Analyst must be an individual who wants to work with claims data. The ideal candidate is a goal-oriented, focused individual who has exceptional communication skills with the ability to execute data management tasks in a timely manner. In a world where the speed of change is forever increasing, being successful in this position requires the ability to assess and process data. 

Data Scientist

GreenKey Technologies (GK)
Chicago
5 days 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

R&D Engineer, Computer Vision

CCC
Chicago
5 days ago
+33
* Identify and implement state-of-the-art computer vision and machine learning methods to automate car insurance industry including segmentation techniques, video classification and object detection/classification. * Collaborate with cross-functional teams to gather and interpret information. * Document and assist in designing software solutions. * Team up with data scientists and machine learning engineers and software engineers to help in translating requirements into applications. * Evaluate new products and technologies and socialize findings. * Design, optimize, and operate AI models. * Work with data scientists and other technical staff to operationalize analysis and machine learning algorithms. * Work extensively with the latest open source tools.

OEM Data Analyst

Associate Big Data Engineer

Market Operations Analyst

Data Architect

Oracle Developer

Load 2 more jobs6 jobs at CCC

Business Analyst

Kalderos
Chicago
5 days ago
+24
We’re looking for a Business Analyst to join our growing product team of developers, data scientists, data engineers, project managers, and IT professional at Kalderos. The Kalderos product is charged with building solutions that address some of the most complicated systems resulting in experiences that are simple, elegant, and delightful.

Junior Data Engineer

KAR Global
Chicago
1 week ago
+26
Work with product, data science, analytics, and engineering teams to learn project data needs and define project scope. Design and planning of data services solutions on the DRIVIN DAAS Platform. Building and delivery of Python/Docker feed framework data pipeline jobs and services. Contribute to the Data Engineering team delivery framework including building of re-usable code, implementing industry best practices, and maintain a common delivery framework. Monitoring, maintenance, documentation, and incident resolution of scheduled production data jobs supporting internal and external customers data needs.

Data Analyst

Kalderos
Chicago
1 week ago
+24
· Assist with the development of KPIs which may be used to measure data management performance. · Document new Kalderos articles to address users’ frequently asked questions, including new processes. · Maintain a high level of professionalism with customers to establish a positive rapport. · Collaborate with data management peers, analyzing data collected, and streamline data load processes. · Proactively communicate status to management and clients to avoid delays in collecting and/or processing data. · Coordinate and participate in Kalderos data management tasks.

Data Engineer

Arrive
Chicago
1 week ago
+24
Arrive is looking to add a Data Engineer to build and maintain cutting-edge, scalable, flexible data pipelines that allow us to run a modern, data-driven business and uncover real-time insights. Reporting to the Lead Data Engineer, this person will take ownership of the reliability and availability of data in our data warehouse in order to support data analysis and storytelling efforts.

Data Scientist/AI Scientist

Stats Perform
Chicago
2 weeks ago
+24
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.

Senior Data Analyst

KAR Global
Chicago
3 weeks ago
+26
As an analyst on the Reporting & Analytics team, you will help communicate product success through the design and dissemination of product performance to internal and external stakeholders. You will build data visualization to support our reporting and dashboards, as well as provide support to our data focused products; and analyze user behavior across our product portfolio. 

Senior Data Scientist, NLP

Ascent
Chicago
3 weeks ago
As a Senior Data Scientist working on NLP at Ascent, your day-to-day work will include working closely with business users, our regulation content team, and the rest of our data scientists and engineers to: a) use state-of-the-art NLP to automate significant sections of the workflow involved in onboarding and managing regulations; b) uncover novel features and information from text to enable new product features (e.g. finding related groups of regulation across regulators); c) deploy, monitor, and maintain models to actually solve problems in production; and d) experiment with creative solutions to problems that use new research and tools and disseminate new knowledge to the team. We primarily use the Python data ecosystem, including both scikit-learn and Keras+Tensorflow, but we are open to all tools. We use all kinds of models, including deep learning and non-deep learning; we prefer to use the simplest tool that accomplishes the goal. 

Data Architect

10th Magnitude
Chicago
3 weeks ago
+18
A Data Architect drives high priority customer initiatives, leveraging Azure data services to solve the biggest and most complex data challenges faced by 10th Magnitude’s enterprise customers. The Data Architect is a customer facing role, accountable for the end-to-end customer deployment and usage for solutions focused around Azure data services. This person will own the entire technical customer engagement including: architectural design sessions, implementation projects and/or Proofs of Concepts, production code development and reviews. The ideal candidate will have experience in customer facing roles and success leading deep technical architecture and design discussions with senior executives and will also be able to be hands-on to show the depth of their experience and expertise. 

Data Engineer, Python

Ascent
Chicago
3 weeks ago
As a Data Engineer at Ascent, you will be working closely with other Data Engineers, Data Scientists, business stakeholders, and the broader tech and product team to build applications, pipelines, and infrastructure that accelerates our regulatory data processing. Specifically, we are building a platform that a) ingests, transforms, and manages data (e.g. regulations, customer data, machine learning features, etc); b) deploys and coordinates data microservices such as machine learning models or other transformations; c) facilitates workflows across these microservices and data layers; and d) tests, monitors, and reports on itself.

Business Intelligence Lead

Ascent
Chicago
3 weeks ago
You have experience in Business Intelligence and analytics, and you understand how important operational metrics and reports are to making good business decisions. You know how to use SQL and other analytics tools to extract data from different databases, you’re able to contextualize these datasets by understanding the business processes behind them, and you appreciate the value of well-designed dashboards that tell the story behind the data. Additionally, you’re able to put together a broader business intelligence program, including planning proactively for future growth and building our analytics capabilities that will serve as the foundation for our decision-making. You’re good at collaborating with other teams and with our data engineers, and take pride in building high-quality analytics capabilities. You’re comfortable in a start-up environment where taking initiative is key, and you thrive on ambiguous situations with competing priorities where you can make a large positive impact.

Research Associate

The Mom Project
Chicago
1 month ago
+38
As a Research Associate, you will support The Mom Project Labs as we shape the future of work. On project management, you will track all projects, align the organization’s various teams and make sure key projects are moving forward. You will coordinate communications, support meetings and execute on all stages of projects (internal and external), manage project deliverables and follow-up required. This role scales from administrative to integral research responsibilities.

Senior Data Engineer

Ascent
Chicago
1 month ago
As a Senior Data Engineer at Ascent, you will be working closely with other Engineers and Data Scientists to design and build infrastructure that a) ingests and handles data (e.g. regulations, customer data, machine learning features, etc); b) deploys and coordinates data microservices such as machine learning models or other transformations; c) facilitates workflows across these microservices and data layers; and d) tests, monitors, and reports on itself. Given the increased responsibility at the Senior level, you will play a strong role in designing this infrastructure, thinking about the long-term implications of design decisions, as well as hiring and mentoring more junior engineers. We use both hosted solutions and open source tools. We have a strong bias towards containerization and internal transparency. We also place a high premium on our culture and values, both within the tech team and the company as a whole. We believe a diversity of opinions and perspectives creates a stronger team and product, and we are committed to an equal opportunity hiring process.

VP of Data Science

KAR Global
Chicago
1 month ago
+26
As the Vice President of Data Science, you are responsible for leveraging large internal and external data to provide advanced analytic data modeling systems. You will provide both strategic and tactical leadership and direction for a team of data scientists and data analysts as well as assess the organization's on-going talent acquisition, analytic methods, tool selection and development strategy. Your work will revolve around understanding complex business models, large and complex data manipulation, predictive model building, model validation, model deployment and ensuring all model documentation provides full model transparency. Responsible for building and refining predictive and descriptive statistical models to improve insights, enhance data-driven business strategies, and drive improved profitability. You will develop next-generation analytic approaches where current generation approaches are not adequate. You will oversee all data science activities ensuring alignment with departmental and business-wide vision and strategies.

Business Analyst (SQL)

The Mom Project
Chicago
2 months ago
+38
You are a data person, aspiring product person or new product person who wants to help define solutions that are truly making a difference in the lives of working parents. You are curious about data and use that passion to find insights that can inform product roadmaps. You love the challenge of taking a high-level question and turning it into actionable insights using your SQL skills. You enjoy working cross-functionally and collaborating with different leaders within a company.

Database Developer

Kalderos
Chicago
2 months ago
+24
Build and maintain relational database artifacts and analytic tools that are high-performance, maintainable and flexible. Assist the Database Developer in planning for and acting on requirements for constant growth and expansion of Kalderos’ database environment. Quickly gain expertise with Kalderos’ existing database and business models and provide input on how to continually enhance both. Be the first line of support for questions about data quality and status.  Adhere to and promote software development standards and align them with changing technologies. Continually research and analyze new database frameworks and tools that Kalderos can bring to bear in its continuous improvement journey.

Data Engineer

Strong Analytics
Chicago
2 months ago
Strong Analytics is seeking a data engineer to collaborate with our team building and managing ETL pipelines, embedding statistical algorithms in robust applications, and deploying machine learning applications to the cloud. This role requires high-level Python programming, high-level SQL, experience deploying applications to AWS, and experience in distributed data processing (e.g., Hadoop, Spark, Hive).

Data + Analytics salaries in Chicago

Job Title Average Salary Salary Range
Data Analyst $66,837
Min: $42K
Max: $150K
Business Analyst $71,404
Min: $35K
Max: $124K
Business Intelligence Analyst $84,270
Min: $45K
Max: $135K
Senior Data Analyst $85,683
Min: $60K
Max: $135K
Senior Business Analyst $93,160
Min: $67K
Max: $130K
Business Intelligence Developer $98,975
Min: $74K
Max: $126K
Data Scientist $107,946
Min: $45K
Max: $155K
Analytics Manager $108,734
Min: $80K
Max: $163K
Data Engineer $114,830
Min: $70K
Max: $165K
Business Intelligence Manager $130,000
Min: $115K
Max: $140K
Senior Data Scientist $131,071
Min: $47K
Max: $200K
Data Architect $137,060
Min: $68K
Max: $190K
Director of Analytics $147,559
Min: $103K
Max: $196K
CIO (Chief Information Officer) $235,194
Min: $157K
Max: $325K

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