Mid Level Chicago Startup and Tech Jobs

11

Data Engineer

Arrive
Chicago
4 days 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 Architect

10th Magnitude
Chicago
2 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. 

ISG Operations Analyst

CCC
Chicago
2 weeks ago
+32
Within the Insurance Services Group (ISG), the Analytics & Sales Operations person is responsible for driving salesforce productivity in a multi-channel organization by leveraging sales and customer information, analyzing financial and market data to continuously refine sales strategies, and improve sales performance. This position serves as the hands-on analysis point for the sales channels and internal CCC teams, to identify areas of opportunity, target revenue growth, and align the channels with corporate strategy. Additional responsibilities include developing improved sales processes and operational measures, implementing and managing productivity tools, such as Salesforce or SFA user applications, managing delivery of all requests for reports, ad-hoc analysis, program results, modeling, and presentations.

R&D Engineer, Computer Vision

OEM Data Analyst

Data Architect

Oracle Developer

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Senior Technical Solution Analyst - Business Intak…

iManage
Chicago
2 weeks ago
+32
Our Sr. Technical Solution Analysts are responsible for the delivery of our iManage Business Intake and Conflicts Manager products to our clients. This position is a hybrid role between business process management and technology consulting. It involves a combination of business acumen and consultative skills to independently investigate, understand, and develop business requirements. We’re looking for individuals that have proven strong leadership skills with the ability to interface with all stakeholders. You must be highly communicative, and solution focused as well as able to participate in a high level of collaboration with other team members. You thrive in a dynamic, fast paced environment with competing priorities and resources. If this sounds like you, please see more details below!

Senior Data Scientist, NLP

Ascent
Chicago
1 month 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 Engineer, Python

Ascent
Chicago
1 month 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
1 month 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.

Senior Data Engineer

Ascent
Chicago
2 months 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.

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
3 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 Scientist

Strong Analytics
Chicago
3 months ago
Statistical modeling and hypothesis testing. Designing, training, and validating results from a breadth of machine learning algorithms. Writing clean, efficient SQL. Integrating with various RDBMS (e.g., Postgres, MySQL) and distributed data stores (e.g., Hadoop). Building Python applications. Deploying applications into cloud-based infrastructures (e.g., AWS). Building deep neural networks with modern tools, such as PyTorch or Tensorflow. Creating and interacting with RESTful APIs. Managing *nix servers. Writing unit tests. Collaborating via Git.

Data + Analytics salaries in Chicago

Job Title Average Salary Salary Range
Data Analyst $67,994
Min: $42K
Max: $150K
Business Analyst $71,468
Min: $35K
Max: $124K
Business Intelligence Analyst $82,859
Min: $45K
Max: $135K
Senior Data Analyst $85,390
Min: $60K
Max: $135K
Senior Business Analyst $93,160
Min: $67K
Max: $130K
Business Intelligence Developer $98,975
Min: $74K
Max: $126K
Data Scientist $107,446
Min: $45K
Max: $155K
Analytics Manager $108,734
Min: $80K
Max: $163K
Data Engineer $114,885
Min: $70K
Max: $165K
Business Intelligence Manager $130,000
Min: $115K
Max: $140K
Data Architect $137,094
Min: $68K
Max: $190K
Senior Data Scientist $137,928
Min: $47K
Max: $215K
Director of Analytics $147,559
Min: $103K
Max: $196K
CIO (Chief Information Officer) $235,194
Min: $157K
Max: $325K

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