Data Analyst Jobs in Chicago

Paro is seeking a Manager, Business Analytics & Strategy to lead and expand this function as we continue our rapid growth. Your objective is to supercharge the performance of every team at Paro through data access, analytical insights, and operational improvements. Why Paro? Mission: Our mission is empowering finance and accounting professionals to embrace and succeed in the future of work. We do this by providing freelancers with a platform to

This is a great opportunity to join a growing business driving HUGE change in the way the world works through the Upwork marketplace. You will make an immediate and lasting impact on the company as well as the team's mission of making Upwork the world’s safest and most trusted online workplace. As a leader in our analytics team you will play a critical role working with a cross-functional team to keep our marketplace safe and build a platform for future growth.

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 and can be based in either Chicago, IL or Richmond, VA. Some travel will be required. 

This role will be dedicated to the Insurance Solutions team, focusing on making drivers safer and better predicting risk. Data Engineers at Arity work closely with Data Scientists, Engineers, and Product Managers to develop infrastructure for our massive repository of data. As part of a product team, you'll execute new ETL work tracks from inception to solution, supporting technical expertise with strong business acumen. You'll also be responsible for data manipulation and interpretation to help bring business solutions to scale. Success in this highly dynamic role depends on your ability to be flexible, curious, and quick to adapt.

As an Analytics Senior Associate, you will be responsible for developing product, marketing, and credit strategies for various lending products to drive growth and profitability on behalf of our partners. We need someone who can leverage large data sets to develop strategy proposals based on rigorous analysis.

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.

Help Relayr build the world’s most advanced IoT Cloud Platform. Develop and assist in developing internal data processing tools. Design, prototype and refine machine learning algorithms. Research new machine learning methods and publish papers. Design, prototype and collaborate with the backend team in implementing large scale data processing systems for the cloud and edge. Perform ad-hoc data analysis and present results. Prototype and iterate quickly. Engage in architectural discussions. Participate in customer workshops to map business goals to the set of products we are developing.

The Business and Operations Analytics Manager demonstrates significant strategic thinking and leads a large staff. They are responsible for marrying enterprise and Business Unit strategy to the opportunities provided by advanced analytics. They need to be an excellent communicator and to have shown clear development as a strategic thinker. They need to have firsthand experience designing and deploying analytics to be able to quickly recognize opportunities for applying analytics to generate exceptional enterprise value. The incumbent needs a breadth of knowledge and experience, with deeper experience in at least two domains such as marketing, sales, supply chain, finance, aftermarket, purchasing or manufacturing. They need to demonstrate an extremely strong customer focus, strong leadership, and solid initiative.

She/he will be leading the model development process that includes developing model theory/assumptions, performing tests, establishing developmental evidence, performing coding in analytical library, writing model documentation, providing support in model validation, reviewing and signing off on system implementation. Furthermore, she/he will work closely with the business and development teams to remediate gaps and improvements identified by internal control teams or external regulators.

As a Data Engineer that knows how to work with PostgreSQL & Python, you will be responsible for creating, populating, and maintaining databases on top of optimizing entity relationships to make our application faster for our users. You will also work with our backend developers to connect database tables/views to our application and communicate how to effectively optimize the queries coming into the database based on the tasks.

Ability to support the overall analytics and insights vision, working closely to structure measurement frameworks, KPI's, and analysis deliverables. Work with Rightpoint's Research, Strategy, Technology, Design and Integrated Marketing teams to combine qualitative and quantitative analysis into transformative digital solutions, including artificial intelligence, machine learning, etc. Pull together raw data from multiple platforms, build appropriate data visualizations in dashboards, and structure analysis with meaningful, relevant insights. Experience in web analytics platforms and tagging structures including Google Analytics 360 and Adobe Analytics. Expertise with data visualization in Tableau, Power BI, Excel, etc. Working knowledge of statistical methods and analysis such as regression, clustering, and time series analysis Knowledge of marketing analytics platforms including social listening, paid media, and SEO, a plus. Ability to work on multiple priorities that span different areas of focus such as marketing, digital, UX, business, design, data architecture and infrastructure. That is, you should feel comfortable talking to business stakeholders, UX and visual designers as well as technologists and developers.

This critical role partners with Digital Marketing and Technology teams to set and execute the analytics and digital data management strategy for our organization. This role has distinct ownership of digital testing and analytics that will inform the organization’s focus on where we develop and scale digital tactics to optimize online revenue and engagement.

Fraud is something we encounter on a regular basis and, as a Senior Fraud Analyst, you will be one of Enova’s most valuable resources. You will develop, enhance and test the company’s rules, models and operational processes for use in determining the appropriate lending criteria and verification procedures, specifically related to preventing fraud. You may be asked to conduct ad hoc analysis using statistical and financial tools to recommend fraud prevention 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. You will work with senior management to develop key performance indicators (KPI's) to ensure that our fraud prevention schemes are performing optimally and communicating insights through both presentations and write-ups of results and recommendations.

Develop interactive data visualizations, reports and dashboards in Tableau, including design, data set-up, and execution that answer client questions and support the development of Pareto’s software solutions (in collaboration with product managers, business analysts, data scientists, and consultants). Support Pareto’s consulting and advisory engagements through data visualization design and execution. Collaborate with various business and technical teams, including consultants, product management, and technical developers. Continually develop and further Pareto’s analytical, quantitative and visualization skills, capabilities and offerings. Support the identification, research and development processes required to obtain, analyze and incorporate new data assets, tools, and visualizations into Pareto's capabilities.

The Digital Operations Analyst II is responsible for driving a consistent digital experience for internal and external partners and guests, utilizing analytics, monitoring tools and guest feedback to measure, identify and resolve issues across stores and marketing. In addition, this position will manage operations and enhancements for new and existing experiences. Key partner teams include CRM, Loyalty Marketing, Customer Analytics, Guest Services, Digital Product, User Experience and our Information Technology teams.

As Analytics Engineer at Zoro, you are responsible for defining and implementing best-in-class website tagging and tracking. You will be responsible for working with analytics and marketing teams to define technical elements of tagging and tracking solutions, working with a team of software engineers to manage implementation and ensure optimal data capture for downstream data platforms, analytics and decision engines. You will also have the opportunity to help build testing and optimization strategies for business-critical part of our ecommerce platform.

Lead analytics team of 4 people and define team priorities and roadmap. Answer critical business questions that drive strategy in partnership with key business leaders. Clearly communicate results to stakeholders. Drive analytical culture across organization. Partner with technology team to build data strategy and roadmap.

The ideal candidate has a strong bias toward data driven decision making, is able to think big and be creative (while paying careful attention to detail), and will enjoy working in a fast-paced dynamic environment. If you are excited about using experimentation, data and machine learning to improve customer experiences, and want to join a company that is expanding to new markets, this role is for you.

GoHealth is looking for a Director of Advanced Analytics to join as a leader of the Business Analytics function. This role will report to the Vice President, Advanced Analytics. You will be responsible for guiding the work of the cross-functional data analytics team, help create and lead strategy, and oversee the team’s execution. You will effectively manage a team, derive analytical insights from a variety of business contexts, and communicate those insights effectively to a variety of other stakeholders.

Special Ops Managers are the tip of the spear. We’re looking for unicorns–people who can think strategically at the highest level while also understanding the bits that need to flip to follow through on the execution. A Special Ops Manager has an aptitude for blending analytics and creativity to scope and solve complex logistical problems, the operational prowess to get stuff done, and the self-starter compass to start moving on to the next problem right away.