Mid Level Chicago Startup and Tech Jobs

33

Analytics Warehouse Database Administrator

VillageMD
Chicago
14 hours ago
+36
Manage SQL Server databases through multiple product lifecycle environments, from development to mission-critical production systems. Configure and maintain database servers and processes, including monitoring of system health and performance, to ensure high levels of performance, availability, and security. Evaluate, advise and implement solutions related to data platform as we continue to grow. Apply data modeling techniques to ensure development and implementation support efforts meet integration and performance expectations Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end. Refine and automate regular processes, track issues, and document changes Assist developers with complex query tuning and schema refinement. Provide 24x7 support for critical production systems. Perform scheduled maintenance and support release deployment activities after hours. Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members.

Information Architect

Enterprise Data Architect

Senior Oracle Database Administrator

Discover
North Suburbs
1 day ago
+43
Responsible for the activities related to database administration and systems development support. Under direct supervision analyzes the use of new techniques/products, aiming at the best solution for the system. Implement the physical model of the database within established standards, ensuring the best performance.

Lead Data Engineer

Lead Data Engineer

Senior Principal Data Strategy Analyst

Principal Data Solutions Architect

Principal Data Governance Consultant

Lead Data Solutions Architect

Load 3 more jobs7 jobs at Discover

Lead Real World Analytics Data Scientist

Tempus
Chicago
2 days 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

Associate, Strategy & Operations - Tempus Life Sciences

Senior Clinical Genomics Scientist

Principal Bioinformatics Scientist

Load 7 more jobs11 jobs at Tempus

Data Engineer

Kalderos
Chicago
4 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.

Data Engineer

CNA
Chicago
1 week ago
+26
Assemble large and complex data sets from disparate data sources into consumable formats that meet business requirements. Create efficient and reproducible ETL Data Pipelines using SQL, Python or big data tools such as Spark. Work closely with Data Science, DevOps and data management teams to assist with data-related technical issues and support their data infrastructure needs. Build and maintain capabilities for data quality control,  identify data quality issues and pipeline failures. Build exploratory Dashboards/tools for data scientists and business partners that can be deployed relatively quickly and require low maintenance. Create streamlined process for geocoding internal data for matching to external sources. Collaborate with application owners to help define data collection requirements. Work with Data Scientists to understand requirements and help design systems and processes to deliver business value. Research new uses for existing data. Build infrastructure required for flexible and scalable extraction, transformation and loading of data from a wide variety of data sources.

Machine Learning Engineer

Stats Perform
Chicago
1 week 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 Data Scientist

Maven Wave Partners
Chicago
1 week ago
+22
Leverage company data to drive business solutions for enterprise clients using R and Python. Perform data collection for Data Science operations including Machine Learning. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Assess Model accuracy using common metrics (AUC, F1, etc.) and explain the results to client stakeholders. 

Business Intelligence Lead

Fetch Rewards
Chicago
1 week ago
+29
The Business Intelligence Lead will manage & support multiple client relationships and lead Insight & Analytics of long-term partnerships. The day to day responsibility will include seeking to understand core business objectives of partner companies to find data & analytic solutions within our capabilities. This position will lead as an architect, an analyst, and a storyteller to drive data-actionable insights enabling the execution of unique brand experiences within our platform and ultimately building 1:1 consumer connections for our partners. More specifically you will:

Data Engineer

Fetch Rewards
Chicago
1 week ago
+29
Your focus will be on developing pipeline frameworks, micro-services, and data solutions that can scale to match the company’s growth trajectory. We don't lock ourselves into particular technologies, but some we are currently using include AWS, Snowflake, Python, Spark, Lambda, CloudFormation, Docker, Kinesis, MongoDB, and Tableau. You’ll also get to join a team of talented individuals who will provide you with hands-on mentorship on topics ranging from engineering to DevOps to analytics. Success in this role requires the ability to analyze challenging problems, propose solutions under the guidance of experienced teammates, and implement designs within timeframes that keep up with business needs.

Data Engineer

SPINS LLC
Chicago
1 week ago
+25
Develop and deploy applications for internal use, primarily within quality and operations teams. Strong emphasis on data pipeline automation for continuous data quality audits and alerts. Pair with (XP) and share best practices with engineering and quality teams. Add to our collection of Jupyter notebooks to use for data quality testing. Improve our current quality processes by finding new ways to automate manual tasks.

Arity-Data Steward Manager

Arity
Chicago
1 week ago
+22
The Data Governance and Quality team works across the Enterprise to manage the strategy, integration and governance of data at Arity. Members of Arity's Data Governance and Quality team have responsibility for ensuring consistency and clarity of our data across our product portfolio. The team works very closely with product partners to convert business needs into data solutions that power our businesses. The Lead Data Steward is responsible for leading a team of Data Stewards that manage and govern core internal and external analytical data for the organization. In this role, you will help establish, train, and execute capabilities that will advance the Data Stewardship program. Through this work you will provide 'fit for use' data to enable timely generation of sound end-to-end business insight by ensuring our data is timely, accurate, complete, and most importantly, 'fit for purpose' for our customers' use cases.

Senior Big Data Engineer- Data Warehouse

Integral Ad Science
Chicago
2 weeks 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.

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.

Data Scientist - POS Data

SPINS LLC
Chicago
3 weeks ago
+25
Develop and maintain tools that bridge disparate data sources across the organization to serve data models, dashboards, decision aids, and business case analysis with up-to-date and accurate information. Collaborate with our data scientists on engineering predictive features from our product intelligence database. Prototype, implement, and optimize data new pipelines and architectures that can transform our data to impactful insights. Create robust daily, weekly, or monthly automated processes to deliver impactful work. Create innovative and efficient techniques that better solve the problems we are working on. Assess risks to proposed analytics solutions based on quality of existing data sources and actively develop QA procedures to mitigate those risks. Tailor our syndicated data to retail and CPG business needs in a robust and scalable way. Facilitate knowledge transfer across the business between Product Delivery and Commercial teams.

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.

Data & Analytics Engineer

West Monroe Partners
Chicago
4 weeks ago
+20
The Data & Analytics Engineer within the Data & Analytics team will be responsible for supporting and developing the data & analytics platform at West Monroe Partners.  The engineer will provide development experience, escalated support, and operational maintenance to the firm’s growing application integration and reporting needs.  This includes the product lines for Microsoft SQL Server (BI stack), Power BI, and custom-built front-end visualizations.

Data and Cloud Migration Architect

Sr. Data Engineer (Consulting)

Data Science Sr. Developer

Senior Data Science Consultant

Load 1 more jobs5 jobs at West Monroe Partners

Lead Analyst (Risk Analysis)

OCC
Chicago
1 month 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
1 month 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

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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