Data Analyst Jobs in Chicago

This role will be responsible for the creation and deployment of sophisticated analytics to improve product and promotional forecasts across the company. This analyst will build custom algorithms that involve learning from rapidly shifting data and projecting the direction of the business at the most granular level. As we improve our ability to quickly react to shifts in our business, this role will help drive down costs, improve our inventory efficiency, and lead to profitable growth. The analyst will join a highly visible analytics team that owns the company’s strategic thinking and data-driven approach to making decisions and identifying opportunities. We function as internal consultants – partnering across the business to deliver insights that drive action in real-time.

As a Software Engineer at Relativity you will leverage your software development skills to design and build systems within our cloud-based SaaS platform, Relativity. This is your opportunity to work on a scalable and dynamic web system which supports integration with multiple search engines, clustering technologies, and client component interaction through web services. This is all utilizing many of the newer, and strongest technologies. You will build highly distributable systems composed of multiple databases, processing, and web servers within the massive data field.

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.

The Digital Analytics Senior Analyst will combine knowledge of digital marketing and the ecommerce retail industry as well as understanding of web analytics platforms to produce actionable insights and make data-driven recommendations for the organization. The Senior Analyst will assist serve as the subject matter expert for the Google 360 analytics suite, working closely with business stakeholders and internal IT to implement best practices and continually improve the end-to-end flow of eCommerce information. 

Paro is seeking a passionate individual to take ownership of and build out Paro’s platform data strategy: you will be the owner of Paro’s data. Thus, candidates should possess relentlessly high standards for their work and have demonstrated success developing and executing a data strategy. Relevant leadership skills should highlight an ability to lead, develop and coach teams, as well as work cross functionally to deliver data-driven action, insight, and solutions to stakeholders across the company.

As an Analytics Analyst you will be one of Enova’s most valuable resources. You will develop, enhance and test the company’s models for use in determining the appropriate lending criteria and verification procedures. At times, you may be asked to conduct ad hoc analysis using statistical and financial tools to recommend for risk management, marketing and operational strategies. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements and support implementation. And through all of this, you’ll mentor analysts and disseminate your technical knowledge throughout the Analytics team.  

Provides leadership and manages team(s) responsible for developing and implementing protocols that impact the daily operational activities of the specified area of IT. Accountable for the management of multiple sections of work, multiple teams or a major section of work within IT. Identifies, evaluates and resolves business issues. Works to resolve high-level, abstract problems across areas within specified area of expertise. Possesses extensive technical breadth.                                    

DRW is looking for an exceptional Software Engineer with expertise in designing, building and supporting financial applications and distributed services targeting Front Office users, Risk Management and Operations. You will be joining a team responsible for providing models and analytics to the DRW businesses firm-wide and will be instrumental in helping define and implement software solutions for pricing, risk management, PnL and scenario analysis. Your work will be used throughout the organization on a daily basis by traders, risk managers, and back office analysts.

The Lead Analyst is responsible for working cross-functionally to build analytics strategies and lead the development of data-driven analysis and insights. The Lead Analyst will share ownership of relationships at the executive sponsor-level across a variety of industries, and support peers and other clients within the Rightpoint portfolio.

The Director of Analytics and Business Operations will lead the team efforts as well as use a diverse analytical and strategic toolkit to drive towards high quality and innovative business solutions while clearly communicating these solutions across the organization. This position plays a critical role in defining and driving strategic, operational and organizational improvement across the company. This is a dynamic opportunity for a leader who can identify business problems, frame relevant analyses, work fluently with structured and unstructured data to build solutions, define strategic project requirements and drive them to completion. The Business Operations and Analytics Manager must have an ability to embrace change, a passion and drive for results, and a love for asking ‘why’ and learning about new things.

Entrepreneurial spirit: We seek individuals who enjoy contributing to the growth of an organization and who show commitment to the success of their team. Problem solving skills: Individuals at Saggezza have well-honed analytical skills coupled with business acumen to structure problems, deliver solutions and communicate insights. Drive: Saggezza’s team sets ambitious goals and seeks professionals who are energetic, enjoy a fast pace environment and thrive in taking on responsibility.

Tempus is seeking a highly qualified Commercial Operations Associate to join our growing team. This role will broadly support our Sequencing business, primarily focused on healthcare providers and systems. This is an exciting opportunity to be part of a movement to help improve cancer research with data and artificial intelligence.

The Sales Enablement Strategist enables Motorola's Software Enterprise Sales organization to achieve sales, profit, and business objectives by enabling sales leaders to drive sales plans, increase pipeline, identify cross-sell campaigns, and align customer success metrics to key opportunities as we expand the end to end suite in our customers operations.

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.

vCaterpillar’s Global Finance organization is focused on increasing analytics-based insights while decreasing transactional efforts. As the Data Analytics & Cognitive Technology Lead, you will play a strategic role, tasked with formulating new and creative ideas for leveraging disruptive technologies. This role includes both day-to-day initiatives and strategic vision development.

The Data Quality Engineer will be responsible to designing, developing, documenting and performing data quality checks across all data assets developed at Envoy. That includes ETL jobs, reports, dashboards and data pipelines. The primary goal for this role is to ensure high quality of data delivered to internal stakeholders and customers. Validation of data in data repositories (DW, Data Marts) against data from source systems and validation of metrics and data in reports/dashboards against data in the repositories is a key responsibility. Essentially, making data assets consistently accurate for users.

The Senior Data Analyst position is responsible for the analysis and processing of raw client data.  Responsibilities include working with SQL server to process raw client data into Foresight’s standard database schema, managing data cleaning/QA, and building custom reporting queries for internal analysis.  This role is also expected to work cross-functionally with the client service and analytics teams to ensure that clients datasets are complete and accurate.  Additionally, this role assists with creating the initial insights for a given client by providing an understanding of a client’s dataset.

The Sr Data Engineer will be a part of the team working on data analysis projects relating to healthcare medical records. The candidate will analyze and evaluate large quantities of data in relational databases and unstructured forms of data, effectively balancing quality, availability, timeliness, and cost factors. Leveraging data analysis skills, the candidate will create innovative approaches to answer our clients’ most relevant questions.

Strong communication skills: ability to be well-organized, clear and concise in conversations and written communications. Ability to articulate tradeoffs, strengths and weaknesses of various architectural patterns to determine the best framework or pattern to use given various use cases and requirements constraints (e.g., required response times, nature of batch vs. real-time flows). Knowledge of mistakes commonly made by less-experienced architects when first implementing architectures Hands on experience planning migration of legacy data sources Ability to create clear, expert-level architectural diagrams using Visio, and clear narrative presentations using PowerPoint.

We are looking for a full stack Data Scientist to join our Software & Services team to help develop incredible gaming software products & services. As the foundational member of the team you will build out our core data science function within our Software & Services team, provide cross-functional mentorship around Data Science, and set the direction for our teams. You will work closely with Product, Engineering, and stakeholders to explore our data and unlock insights to power metrics and drive decision making.