Mid Level Chicago Startup and Tech Jobs

25

Lead Real World Analytics Data Scientist

Tempus
Chicago
20 hours ago
+34
As part of the external data science team at Tempus, you’ll be on the front lines of our collaborations with external partners, helping them apply cutting-edge data science techniques to unique cancer datasets. Your work will be part of the foundation of the next layer of research questions: you will be responsible for implementing and/or developing bioinformatics tools to address biological questions that query cancer datasets, and for communicating results and scientific findings on a regular basis, using appropriate communication and visualization tools commonly used in biological research.

Informatics Scientist - Cardiology AI

Bioinformatics Scientist, Data Operations

Statistical Geneticist

Assay Development Staff Scientist, IVD

Clinical Informatics Integration Analyst

Senior Data & Machine Learning Scientist

Data Warehouse Architect/Modeler

Informatics Data Engineer

Associate, Strategy & Operations - Tempus Life Sciences

Senior Clinical Genomics Scientist

Principal Bioinformatics Scientist

Load 8 more jobs12 jobs at Tempus

Medical Researcher

Lumere
Chicago
1 day 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 Architect

Rally Health
Chicago
2 days ago
+25
Architect and lead technology of large scale and high traffic data warehouse platform. Conceive, design, develop and deploy the data architecture and data models from scratch. Collaborate across business units (BI, Product, Reporting) to develop data warehouse platform vision, strategy, and roadmap. Train and mentor the team in data modeling and data quality related processes and standards.

Data Engineer

Kalderos
Chicago
2 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.

Strategy Associate, Customer Operations

GoHealth
Chicago
4 days ago
+39
The GoHealth Customer Engagement team interacts with hundreds of thousands of GoHealth members with the goal of improving member experience and satisfaction with products purchased from GoHealth. We are looking for a Customer Operations Strategy Associate, who is a team player, driven, and highly analytical. Reporting to the Director of Customer Operations & Analytics, you will be the driver for operations, analytics, and strategy across GoHealth’s customer operations team. You will collaborate with key stakeholders from internal business units and external partners to help create a best-in-class post sale experience for our members.

Lead Data Analyst

Senior Data Analyst

Data Engineer

Market Research Analyst- Healthcare

Senior Machine Learning Engineer

Senior Data Scientist

Load 3 more jobs7 jobs at GoHealth

Cloud Data Architect

Productive Edge
Chicago
5 days ago
+35
The Cloud Data Architect will be responsible for guiding the full lifecycle of a Big Data solution, including requirements analysis, platform selection, technical architecture design, application design and development, testing, and Test and Deployment in Cloud Infrastructures. We are looking for candidates with a broad set of technology skills to be able to design and build robust Big Data solutions.

Data Engineer

Productive Edge
Chicago
5 days ago
+35
Provide technical analysis, design, development, and enhancement. Provide process, data and object modeling in a variety of application and database environments. Provide database design, development, and enhancement, as well as management and coordination of changes to existing applications.

Machine Learning Engineer

Stats Perform
Chicago
6 days 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:

Senior Analyst, Healthcare Analytics

VillageMD
Chicago
1 week ago
+36
In this role, you’ll operate as a cross-market analytical consultant to internal stakeholders on critical imperatives including evaluation of clinical programs across desired outcomes, and analysis supporting risk adjustment activity. VillageMD sits in a unique position with the ability to use medical and pharmacy claims, plus ambulatory electronic medical record (EMR) data. As our organization continues to grow, so do the opportunities to develop your skills and gain exposure to different areas of our business and model of care. This person will be a member of our Central Analytics team with a preferred location of Chicago, Illinois. 

Analytics Warehouse Database Administrator

Information Architect

Enterprise Data Architect

Senior Big Data Engineer- Data Warehouse

Integral Ad Science
Chicago
1 week ago
+49
We’re looking for a Senior Data Engineer for our Chicago to join us in building our next generation data processing platform. As part of the platform team you will work in multiple areas including campaign performance measurement and reporting, ad fraud, and botnet detection.

Senior/Principal Data Engineer (Data Insights)

Rally Health
Chicago
1 week ago
+25
Manage the development of essential enterprise E2E Business Intelligence ETL solutions in Hadoop, sourcing data from HDFS, Kafka, Amazon Redshift, MongoDB or Postgres environments and using Python, Spark, Airflow and Hive. Architect and code solutions for large-scale ETL pipelines with data processing frameworks. Develop data solutions to promote applicable insights for population health management and positive .recommendations for ways individuals can improve their health and manage their costs. Assess current processes, recommend and implement approaches to handle increasing volumes of data. Communicate technical specifications to ensure that proper and optimized techniques, queries, data standards, and final outputs are understood and incorporated into data and analytics processes. Participate in business analysis activities to gather required reporting and dashboard requirements. Handle the product's or project’s conception, translate requirements, design initial technical specifications and develop data solutions. Develop reports and dashboards with data from potentially multiple data sources.

Database Administrator

Pareto Intelligence
Chicago
2 weeks ago
+59
The Ideal candidate is a person that really enjoys working with SQL and SQL Server and has deep experience with both. This person’s time would be a good split between head down writing new code and tuning updating existing logic, researching and implementing new features in SQL Server and other DB technologies, and discussing projects with Data Scientists and other engineers to deploy the right database structure and ETL processes.

Software Engineer (Big Data)

Integral Ad Science
Chicago
2 weeks ago
+49
Planning delivery of data pipelines and api endpoints for IAS (Integral Ad Science) product offerings. Extracting, transforming, and analyzing large volumes of structured and unstructured data. Implementing data processing solutions using Big data stack including but not limited to Hadoop, Spark, Vertica, and Hive. Writing SQL queries and other types of data requests in the context of massive data sets. Building data pipelines and data stores optimized for data science needs. Implementing systems for large-scale data analysis and machine learning. Building tools for use across the Data Science and Data Engineering teams. Identifying and implementing automated tests for software components. Deploying and maintaining data processing systems in production. Partnering with engineering teams on deployments of data science driven solutions.

Solutions Architect - Data

OCC
Chicago
3 weeks 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
3 weeks 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.

Lead Analyst (Risk Analysis)

OCC
Chicago
4 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
4 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.*

Knowledge Manager

Strata Decision Technology
Chicago
1 month ago
+51
Streamline and maintain a knowledge management system in alignment with business needs and culture. Capture knowledge to improve decision making and learning. Establish and manage knowledge management processes. Champion knowledge management best practices. Guide and enforce quality standards for knowledge content. Discover and divest obsolete knowledge. Facilitate the organization of social networks and communities of practice to facilitate knowledge sharing and capture. Promote knowledge management programs and gain utilization of knowledge content. Create and evaluate performance metrics.

Healthcare Business Intelligence Manager

Senior Business Intelligence Consultant

Aptitive
Chicago
1 month ago
+37
Provide data and analytics solutions to local clients throughout the Chicagoland area. Learn and work with cutting-edge technologies. Gain knowledge about industries such as; healthcare, retail, insurance, manufacturing, etc. Lead teams to design and architect robust data and analytical solutions for our clients. Work directly with clients to understand and document their business needs and technology requirements. Design, code and test data-centric solutions for clients. Be involved from the beginning to the end of the System Development Life Cycle (SDLC). Mentor and help grow the careers of others. Assist in the sales process and help develop new business. Contribute significantly to the growth of Aptitive and our clients.

Senior Data Engineering Consultant

Aptitive
Chicago
1 month ago
+37
Provide data and analytics solutions to local clients throughout the Chicagoland area. Learn and work with cutting-edge technologies. Gain knowledge about industries such as; healthcare, retail, insurance, manufacturing, etc. Lead teams to design and architect robust data and analytical solutions for our clients. Work directly with clients to understand and document their business needs and technology requirements. Design, code and test data-centric solutions for clients. Be involved from the beginning to the end of the System Development Life Cycle (SDLC). Mentor and help grow the careers of others. Assist in the sales process and help develop new business. Contribute significantly to the growth of Aptitive and our clients.

Data + Analytics salaries in Chicago

Job Title Average Salary Salary Range
Junior Data Analyst $47,750
Min: $36K
Max: $63K
Data Analyst $68,835
Min: $42K
Max: $150K
Junior Business Analyst $72,000
Min: $72K
Max: $72K
Business Analyst $73,419
Min: $35K
Max: $180K
Business Intelligence Analyst $83,996
Min: $45K
Max: $135K
Senior Data Analyst $85,202
Min: $60K
Max: $135K
Business Intelligence Developer $94,680
Min: $70K
Max: $126K
Senior Business Analyst $95,319
Min: $67K
Max: $135K
Junior Data Scientist $106,000
Min: $106K
Max: $106K
Analytics Manager $110,843
Min: $80K
Max: $163K
Data Scientist $111,103
Min: $45K
Max: $155K
Data Engineer $117,450
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 $137,939
Min: $47K
Max: $215K
Data Architect $140,182
Min: $68K
Max: $190K
Database Administrator $142,800
Min: $130K
Max: $166K
Director of Analytics $146,241
Min: $103K
Max: $196K
Data Engineering Manager $196,000
Min: $182K
Max: $210K
CIO (Chief Information Officer) $235,194
Min: $157K
Max: $325K

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