analytics engineer

Loop

<div>
 
 About Loop
 
 
 
 Loop is industrializing services through AI, starting with one of the world's most complex industries: the global supply chain. We're an AI-native company built to solve the systemic data problem that's held logistics back for decades. Our Logistics Data Platform turns fragmented, unstructured data into a trusted foundation that fuels automation, financial clarity, and decision intelligence at scale. Today, Loop serves &gt;20% of the Fortune 100, manages over $30B in supply chain spend, and helps its clients save hundreds of millions of dollars each year.
 
 
 We recently closed a $95M Series C and are backed by leading investors including Valor Equity Partners, Founders Fund, 8VC, Index Ventures, J.P. Morgan, and more than 50 industry-leading angel investors.
 
 
 Our team brings deep expertise from Uber, Google, Microsoft, Meta, Amazon, Flexport, C3 AI, VMware, Box, UPS, and C.H. Robinson and we're looking for builders who want to help shape what comes next.
 
 
 
 About The Role
 
 
 
 As an Analytics Engineer at Loop, you will play a pivotal role in maturing the data organization. You&rsquo;ll work cross-functionally across Engineering, Product, Design, Strategy &amp; Operations, and AI Platform teams to design, build, and own the core infrastructure and data models. These systems will enable both internal and client facing analytics, accelerating data-driven decision-making throughout the company and our clients.
 
 
 This is an in-person role based in our Chicago office with the expectation of being onsite 4+ days per week.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Own Core Data Models and ETL Pipelines: Design, build, and maintain Loop&rsquo;s core data models and ETL processes.
 </li>
 <li>
 Define Metrics and Governance: Establish and govern key business metrics for consistency across teams.
 </li>
 <li>
 Maintain Data Quality and Uptime: Ensure data accuracy and reliability with strong SLAs.
 </li>
 <li>
 Automate Data Requests: Convert ad-hoc data requests into scalable, repeatable pipelines.
 </li>
 <li>
 Optimize Data Infrastructure: Manage and optimize data infrastructure for performance, cost, and compliance.
 </li>
 <li>
 Develop Data Products: Create data-driven solutions and embedded analytics to support business and product teams.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2+ years experience building analytical products (system, dashboard, models).
 </li>
 <li>
 Strong proficiency in SQL and Python for data transformations and automation.
 </li>
 <li>
 Hands-on experience with modern data stack tools (e.g., Snowflake, dbt, Dagster, Airflow, Looker).
 </li>
 <li>
 Excellent business communication skills to translate data insights into actionable business strategies.
 </li>
 <li>
 Experience with data dashboarding and visualization tools (e.g., Tableau, Looker, Superset, Mode).
 </li>
 <li>
 Ability to manage, optimize, and scale data infrastructure.
 
 
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Global supply chain experience in transportation and logistics.
 </li>
 <li>
 Previous experience setting up a data stack in a startup from scratch.
 </li>
 <li>
 Interest or experience in working with cutting-edge open-source data tool.
 </li>
 <li>
 Proven ability to convert ad-hoc data requests into scalable, automated pipelines.
 </li>
 <li>
 Experience working in the logistics domain.
 
 
 </li>
 </ul>
 
 Compensation And Benefits
 
 
 
 The base pay range for this role is $140,000 to $160,000 annually. This range reflects the base pay that Loop reasonably expects to pay for the position at the time of hire. Actual compensation will depend on job-related factors, including experience, skills, qualifications, location, and business needs.
 
 
 In addition to base salary, this role may be eligible for equity. This role is also eligible for Loop's benefits, including health, dental, and vision insurance, 401(k) match, paid time off, paid holidays, and parental leave.
 
 
 
 
 Equal Opportunity
 
 
 
 
 Loop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
 
 
 Why you should join Loop?
</div>

Analytics Engineer

BMO Financial Group

<div><div><div><div><div><div><div><div>Application Deadline:
</div></div></div></div></div></div></div>07/30/2026
Address:
320 S Canal Street
Job Family Group:
Data Analytics &amp; Reporting
<div>The Manager, Portfolio Risk Management is responsible for independent risk oversight and early risk identification across consumer lending portfolios (e.g., Credit Cards, Mortgage/HELOC, Direct Lending, Indirect/RV/Marine, Small Business).
This role focuses on:
<ul><li>Proactive identification of emerging credit risks
</li><li>Portfolio analytics and risk segmentation
</li><li>Oversight of business strategies against risk appetite
</li><li>Development of actionable insights to inform senior management and regulatory reporting
</li></ul>The ideal candidate brings strong quantitative skills, deep knowledge of consumer credit risk, and hands-on experience with modern analytics and data tools .
</div><div><h2 class="jobSectionHeader">Key Responsibilities
</h2><h3 class="jobSectionHeader">1. Risk Identification &amp; Portfolio Oversight (Primary Focus)
</h3><ul><li>Monitor portfolio performance to identify emerging credit risks, adverse trends, and concentration exposures
</li><li>Develop and track key risk indicators (KRIs), early warning indicators, and portfolio triggers
</li><li>Conduct deep-dive analyses (vintage, segmentation, roll rates, loss drivers, score band performance)
</li><li>Provide independent challenge to business strategies (growth, underwriting, pricing, line management, collections)
</li><li>Assess alignment with risk appetite, credit policy, and regulatory expectations
</li></ul><h3 class="jobSectionHeader">2. Portfolio Analytics &amp; Insights
</h3><ul><li>Analyze portfolio data to generate actionable insights on risk/return trade-offs
</li><li>Support loss forecasting, capital, and stress scenario analysis
</li><li>Identify drivers of delinquencies, charge-offs, and credit migration
</li><li>Perform ad-hoc analysis to support senior management, regulators, and business partners
</li></ul><h3 class="jobSectionHeader">3. Risk Reporting &amp; Governance
</h3><ul><li>Develop and enhance risk reporting frameworks for management and regulatory stakeholders
</li><li>Ensure reporting is accurate, timely, and aligned with regulatory standards (e.g., OCC, CECL, Basel where applicable)
</li><li>Lead preparation of portfolio risk summaries, dashboards, and executive materials
</li><li>Support internal and external audits/examinations with clear documentation and defensible analytics
</li><li>Ensure strong data governance, controls, and reconciliation processes
</li></ul><h3 class="jobSectionHeader">4. Data, Tools &amp; Infrastructure
</h3><ul><li>Work with large datasets from loan systems, bureau data, and payment platforms
</li><li>Build and maintain reporting solutions using tools such as:
<ul><li>SQL / SAS / Python / R (data extraction and analytics)
</li><li>Tableau / Power BI (dashboarding &amp; visualization)
</li><li>Excel
</li></ul></li><li>Partner with data owners to ensure data quality, completeness, and usability
</li><li>Contribute to automation and efficiency improvements in reporting and analytics workflows
</li></ul><h3 class="jobSectionHeader">5. Cross-Functional Risk Oversight
</h3><ul><li>Act as a trusted advisor to business, finance, model risk, and collections teams
</li><li>Collaborate across functions to ensure consistent risk measurement and reporting
</li><li>Support strategic initiatives (e.g., new product launches, credit strategy changes, model implementation) from a risk perspective
</li></ul></div><div><h2 class="jobSectionHeader">Qualifications
</h2><h3 class="jobSectionHeader">Experience &amp; Education
</h3><ul><li>3-5+ years of experience in Consumer Credit Risk, Portfolio Management, or Risk Analytics
</li><li>Experience across one or more products: Credit Cards, Mortgage/HELOC, Auto/RV/Marine, Personal Lending, Small Business
</li><li>Bachelor&rsquo;s degree in Finance, Economics, Statistics, Mathematics, or related field (advanced degree preferred)
</li><li>Strong knowledge of:
<ul><li>Credit risk metrics (delinquency, roll rates, loss rates, vintage, PD/LGD concepts)
</li><li>Portfolio risk analytics and segmentation techniques
</li><li>Risk reporting frameworks and KRIs
</li></ul></li><li>Hands-on experience with:
<ul><li>SQL, SAS, or Python
</li><li>Data visualization tools (Tableau, Power BI)
</li></ul></li><li>Ability to work with large, complex datasets and translate into clear insights
</li><li>Understanding of:
<ul><li>Consumer lending lifecycle and underwriting frameworks
</li><li>CECL / IFRS9 concepts (preferred)
</li><li>Regulatory expectations (e.g., OCC guidance, SR letters, model governance principles)
</li></ul></li><li>Experience supporting audit or regulatory reviews is a plus
</li><li>Strong analytical thinking and problem-solving
</li><li>Ability to identify risks early and escalate effectively
</li><li>Clear, concise communication of complex risk insights to senior stakeholders
</li><li>Proven ability to independently own analyses and deliver under tight timelines
</li></ul></div>Salary :
$74,000.00 - $138,000.00
Pay Type:
Salaried
The above represents BMO Financial Group&rsquo;s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group&rsquo;s expected target for the first year in this position.
BMO Financial Group&rsquo;s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one &ndash; for yourself and our customers. We&rsquo;ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we&rsquo;ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at http://jobs.bmo.com/us/en
BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.</div>

Manager, Consumer Risk Portfolio Management

Caterpillar

<div>Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world 
As a Data Scientist in the aftermarket analytics team, you will drive parts and services growth by building data-driven solutions that enhance digital products and customer experiences. You will apply analytics and machine learning to solve complex problems, with a focus on personalization and recommendations. You will partner with cross-functional teams, owning components of projects end-to-end while contributing to high-impact solutions that deliver measurable business value.
What You Will Do:<ul><li>
Apply machine learning, statistical modeling, causal inference, and emerging GenAI techniques to understand customer behavior and deliver recommendation and personalization solutions that drive measurable business value</li><li>
Develop and deploy data-driven solutions that optimize digital experiences, including recommendation systems and AI-powered assistants (e.g., conversational insights, targeting, and sales enablement use cases)</li><li>
Partner with product, engineering, and business stakeholders to translate business problems into scalable analytical and AI-driven solutions</li><li>
Own components of analytics and data science projects end-to-end, from exploration and modeling to delivering production-ready insights or features</li><li>
Demonstrate strong initiative to research and apply new techniques, including GenAI approaches, to improve customer impact</li><li>
Communicate findings clearly to technical and non-technical audiences, influencing decisions through data-driven storytelling</li></ul>
What you will have:
<ul><li>Analytical Thinking: Extensive ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems; Knowledge of techniques and tools that promote effective analysis.</li><li>
Data Cleaning, Analysis, and Preparation: Working knowledge in conducting exploratory data analysis to extract meaningful patterns, trends, and insights from complex datasets, including data mining and cleaning initiatives and writing, debugging and implementing queries involving multiple tables or databases.</li><li>
Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Experience completing specific tasks and initiatives utilizing machine learning technologies, such as classification, regression, or optimization and specific tools and techniques to process descriptive and inferential statistics.</li><li>
Programming Languages: Experience and fluency with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li><li>
Collaboration &amp; Effective Communication: Experience working closely with cross-functional teams, providing data-driven insights and collaborating on projects to solve business challenges.</li></ul>
Consideration for top candidates:<ul><li>
Bachelors, Masters, or PhD degree in statistics, economics, mathematics, data science or similar degree</li><li>
Experience utilizing quantitative analysis, or a Master&rsquo;s degree or PhD in related field</li><li>
Experience in eCommerce and/or digital products domains</li><li>
Experience with advanced data analysis and statistical methods including regression and hypothesis testing</li><li><div>
Practical applications of machine learning techniques, including Collaborative Filtering, Clustering, and emerging GenAI techniques</div></li><li>
Strong technical and problem-solving skills and evidence of continuous learning in the analytics field</li><li>
Experience leading analytics projects connecting data from various business domains and providing forecasts and insights to run the business profitably</li><li>
Experience with cloud technologies (AWS, Azure, Snowflake, Google Cloud, etc.)</li></ul>
Additional Details:<ul><li>
This position requires the candidate to be in Chicago, IL</li><li>
Relocation assistance is NOT available for this position</li><li>
Visa sponsorship is NOT available with this position.</li></ul>
Summary Pay Range:
$97,530.00 - $158,480.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.<ul><li>
Medical, dental, and vision benefits*</li><li>
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*</li><li>
401(k) savings plans*</li><li>
Health Savings Account (HSA)*</li><li>
Flexible Spending Accounts (FSAs)*</li><li>
Health Lifestyle Programs*</li><li>
Employee Assistance Program*</li><li>
Voluntary Benefits and Employee Discounts*</li><li>
Career Development*</li><li>
Incentive bonus*</li><li>
Disability benefits</li><li>
Life Insurance</li><li>
Parental leave</li><li>
Adoption benefits</li><li>
Tuition Reimbursement</li></ul>
<ul><li>These benefits also apply to part-time employees</li></ul>
Visa Sponsorship is not available for this position.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.</div>

Data Scientist, eCommerce Analytics

Skybox Capital

<div>Business Analyst (2&ndash;3 Years Experience) 
Location: Chicago, IL (On-site) 
About LeadsIQ &ndash; A Skybox Capital Company 
LeadsIQ, a Skybox Capital portfolio company, is a data-driven customer acquisition platform focused on delivering high-quality, intent-driven traffic across multiple industries. Backed by entrepreneurs who have built and scaled billion-dollar digital marketplaces, the team operates in a fast-paced, analytical environment where data directly drives revenue and decision-making. 
 
The Role 
We&rsquo;re looking for a Business Analyst with 2&ndash;3+ years of experience who enjoys working with data to solve real business problems. This role blends hands-on data analysis with business strategy, giving you exposure to how performance marketing, customer acquisition, and revenue generation operate at scale. 
You&rsquo;ll work closely with internal stakeholders to analyze performance, identify trends, and help guide decisions that directly impact growth. 
 
Key Responsibilities
<ul><li>Analyze large datasets using SQL and Excel to identify trends, anomalies, and opportunities</li><li>
Build and maintain reports and dashboards to monitor business performance and KPIs</li><li>
Support data-driven decision making across marketing, operations, and business teams</li><li>
Work with messy, real-world datasets to clean, structure, and extract meaningful insights</li><li>
Assist in identifying performance drivers and areas for optimization</li><li>
Partner with stakeholders to understand business questions and translate them into analytical solutions</li><li>
Contribute to building scalable reporting processes and improving data workflows</li></ul> 
 
What We&rsquo;re Looking For
<ul><li>2&ndash;3 years of experience in data analysis, business analysis, or analytics-related roles</li><li>
Strong proficiency in SQL and Excel (pivot tables, formulas, data manipulation)</li><li>
Experience working with large or complex datasets</li><li>
Familiarity with data visualization tools (Tableau, Power BI, Looker, etc.)</li><li>
Basic experience with Python or similar tools is a plus</li><li>
Strong attention to detail and ability to think critically about data</li><li>
Ability to communicate findings clearly to both technical and non-technical stakeholders</li></ul> 
 
Why Join LeadsIQ
<ul><li>High Impact: Your work directly influences revenue and business decisions</li><li>
Growth: Opportunity to expand into more advanced analytics, strategy, or technical roles</li><li>
Exposure: Work closely with experienced operators in a data-driven business</li><li>
Learning: Gain hands-on experience with performance marketing, data infrastructure, and analytics at scale</li></ul> 
 
Ideal Candidate Profile
<ul><li>Early-career analyst who wants more ownership and impact</li><li>
Comfortable working in a fast-paced, less structured environment</li><li>
Curious, analytical, and eager to learn how data drives real business outcomes</li></ul></div>

Business Analyst

The Scion Group

<div><div>Want to learn more about The Scion Group? Check out our website.

We're hiring immediately!

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas.</div>
Your Opportunity

The BI Analyst executes complex data analysis and reporting initiatives. This role partners closely with business leaders to define requirements, design dashboards, and provide actionable insights that support strategic and operational decision-making.

Your Responsibilities
<ul>
<li>Independently gather, integrate, and validate data from multiple internal and external sources</li>
<li>Design and maintain interactive dashboards and scalable reporting solutions in Excel, Looker, and other BI tools</li>
<li>Perform advanced trend analysis and statistical evaluation to identify business drivers</li>
<li>Translate business requirements into SQL queries, data models, and analytical frameworks</li>
<li>Deliver data-driven recommendations to improve performance and operational outcomes</li>
<li>Support ad hoc analytic and scenario modeling requests</li>
<li>Work closely with Data Science and Data Engineering to support reporting needs</li>
<li>Serve as key analytics partner to various business units</li>
</ul>
The responsibilities listed above may not be all inclusive.

Qualifications
<ul>
<li>Bachelor's degree in Data Analytics, Statistics, Finance, Computer Science, Mathematics, Information Systems, or related field</li>
<li>2-5 years of experience in business intelligence, analytics, or related role</li>
<li>Strong SQL proficiency</li>
<li>Advanced Excel skills</li>
<li>Hands-on experience building dashboards required (Looker preferred)</li>
<li>Experience with SharePoint and ClickUp preferred</li>
<li>Strong problem solving and project management skills</li>
<li>Ability to work independently with minimal oversight</li>
</ul>
Operational Details
<ul>
<li>Job location is based at Scion headquarters in Chicago, IL</li>
<li>Working hours are general daytime business hours</li>
</ul>
Your Benefits
<ul>
<li>Health Insurance</li>
<li>Dental Insurance</li>
<li>Vision Insurance</li>
<li>401k Matching</li>
<li>Paid Maternity Leave</li>
<li>FLSA Status</li>
<li>Discretionary annual EOY bonus</li>
<li>Paid Time Off</li>
</ul>
The Scion Group LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, creed, national origin, color, gender, sex, sexual orientation, gender identity or expression, age, physical or mental disability (as long as the employee/applicant is otherwise qualified for the job with or without a reasonable accommodation), genetic information, HIV/AIDS status, marital status, uniformed service, veteran status, pregnancy or other legally protected status or category under federal or state law. The Scion Group LLC complies with applicable state and local laws governing nondiscrimination in employment in all locations in which the Company has properties. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfers, leaves of absence, compensation, training and other terms and conditions of employment. The Scion Group LLC is committed to the principles of equal employment opportunities.</div>

Business Intelligence Analyst

Wonder

<div>About Grubhub
At Grubhub, we believe food is more than just a meal: It&rsquo;s a source of discovery, connection, and pure enjoyment. There&rsquo;s a time and place for every type of dish, from hidden neighborhood gems to tried-and-true favorites, and we exist to connect people with the food they love in all the ways they like to dig in. We&rsquo;ve been at it since 2004, but now, as part of Wonder, Grubhub is operating with a renewed sense of momentum and the high-velocity energy of a powerhouse startup.
As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in more than 4,000 cities, creating the ultimate food experience by elevating online ordering through innovative restaurant technology, easy-to-use platforms, and an improved delivery experience. We are constantly finding new ways to innovate&mdash;from integrated grocery delivery with groceries powered by Instacart to exclusive loyalty programs. Join our team, based out of New York City, Chicago and Denver, and help us give our diners the exceptional value they deserve.
About The Opportunity
As a Sr Analyst - Merchant Network Strategy &amp; Analytics you will be responsible for analyzing complex data sets, identifying trends, and providing actionable insights that directly impact strategic decision-making and drive business growth. You will also be the architect of a connected ecosystem of dashboards and reports that empower teams across the business to move faster, smarter, and more confidently. This involves executing advanced analyses, improving reporting processes, and collaborating closely with senior leadership to address critical business challenges.
You will work with cross-functional teams to optimize business performance, implement strategic initiatives, and ensure that business decisions are backed by robust data analysis and reliable 'source of truth' reporting and metrics. Your work will have a direct impact on fostering growth and operational efficiency as well as influencing how key projects are executed and ensuring that the organization stays competitive in a rapidly evolving market.
You will primarily support the Merchant Network team, who is responsible for signing, onboarding, retaining, and growing restaurant partners on Grubhub.
The Impact You Will Make<ul><li>
Analyze Complex Data -Sets: Perform sophisticated analytics to understand critical drivers of business performance, including fraud prevention, customer care, and logistics operations. Leverage your analytical curiosity to proactively uncover data trends, anomalies, and other key insights that can help the company grow faster, reduce costs, and increase profitability.</li><li>
Build and Maintain Dashboard Ecosystems: Develop and manage a connected ecosystem of dashboards and reports across platforms such as Tableau and Redash. Ensure seamless integration and data consistency to support company-wide consumption.</li><li>
Support Cross-Functional Business Leaders: Collaborate with leaders to address business challenges, providing insightful analysis to help them understand the financial implications of their strategies and decisions. Present your findings and recommendations in clear, actionable formats, working with stakeholders to ensure that data-driven solutions are incorporated into business strategies. Influence key decisions with high-quality analysis and insights.</li><li>
Transform Business Requirements into Actionable Insights: Collaborate with cross-functional stakeholders to gather requirements and translate them into intuitive, data-driven dashboards and reporting solutions. Ensure outputs are tailored to drive strategic and operational decisions.</li><li>
Monitor and Report on KPIs: Take ownership of preparing, tracking, monitoring and communicating key performance indicators (KPIs) on a regular, recurring cadence.. Investigate variances and anomalies, identify trends, and communicate findings to Leadership to inform strategic decision-making.</li><li>
Develop and Maintain Financial Models: Design and implement financial models to support key strategic initiatives across various departments. Provide data-driven insights that help guide decision-making related to resource allocation, cost optimization, and performance improvement.</li><li>
Maintain a Central Source of Truth: Establish, document, and maintain a &ldquo;Source of Truth&rdquo; for company-wide metrics. Drive consistency in metric definitions, data sources, and reporting methodologies across the organization.</li><li>
Drive Reporting Automation and Scalability: Identify opportunities to automate recurring reporting tasks and streamline dashboard creation. Build scalable reporting frameworks and reusable templates to support future business growth. Work to optimize reporting tools, dashboards, and data collection methods, ensuring that data presented to stakeholders is both accurate and timely.</li><li>
Drive Continuous Improvement: Look for opportunities to improve data processes, enhance reporting efficiency, and increase the overall impact of analytical outputs.</li><li>
Mentorship and Collaboration: Act as a mentor for junior analysts, helping them to refine their skills and grow within the role. Foster a collaborative environment where analytical best practices are shared across teams and departments.</li><li>
Stay Ahead of Market Trends: Stay informed about industry developments, competitor activities, and emerging technologies. Use this knowledge to refine analyses and make proactive recommendations that help the company stay competitive and innovative.</li></ul>
What You Bring to the Table<ul><li>
Experience: 3-5 years of experience in a Data, Business Intelligence, or Analytics role, with a proven track record of leading advanced data analyses and providing actionable insights that inform strategic business decisions, and a demonstrated ability to develop impactful dashboards and reporting tools that drive business decision-making.</li><li>
Education: Bachelor&rsquo;s degree in Business, Finance, Economics, Statistics, Mathematics, Data Analytics, Computer Science, or a related field. An advanced degree or certifications in data science, business analytics, or related areas is a plus.</li><li>
Technical Skills:</li><li>
Advanced proficiency in data analysis tools such as Excel, SQL, and data visualization platforms (e.g., Tableau, Power BI).</li><li>
Familiarity with data modeling, cleaning, and transformation best practices.</li><li>
Exposure to Python for data analysis, modeling &amp; automation, analysis, and data pipeline optimization is preferred.</li><li>
Understanding of statistical concepts and techniques, including regression analysis, hypothesis testing, and forecasting is a plus.</li><li>
Comfortable balancing speed and accuracy while developing scalable reporting solutions.</li><li>
Experience with data cleaning, transformation, and analysis processes.</li><li>
Analytical Expertise: Expertise in interpreting complex data sets and delivering clear, actionable insights. Ability to manage large-scale data projects, identify emerging trends, and provide recommendations that drive significant business impact. Strong sense of ownership over data quality, structure, and reporting consistency.</li><li>
Business Acumen: Strong understanding of business strategy, financial modeling, and operational metrics. Ability to synthesize data into strategic recommendations that drive profitability, operational efficiency, and growth. Ability to frame analytical findings within a business context and influence decisions with data.</li><li>
Problem-Solving and Strategic Thinking: Strong critical thinking and problem-solving abilities, with the capability to address business challenges at a strategic level. Ability to lead and implement data-driven solutions to complex problems.</li><li>
Communication Skills: Exceptional written and verbal communication abilities, adept at presenting data insights to diverse audiences, including executive leadership. Proven ability to influence business decisions by translating complex data into accessible and actionable information for both technical and non-technical stakeholders.</li><li>
Attention to Detail and Accuracy: High level of precision and accuracy in data analysis, with the ability to manage multiple tasks while maintaining a focus on quality and integrity.</li><li>
Adaptability and Innovation: Ability to adapt quickly to changing business needs and drive continuous improvement with evolving data tools and analytics techniques. Agile mindset with a passion for continuous learning</li></ul>
As a matter of company policy, Wonder does not sponsor applicants for employment visa status for this role.
Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome&mdash;and encouraged&mdash;to be in the office up to 5 days a week if it works for you.
#LI-Hybrid
New York: $128,000 per year
Illinois: $115,000 per year
Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.
Benefits
We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.
A Final Note
At Wonder, we build the best teams by hiring with an objective lens &mdash; evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know.
We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.</div>

Sr Analyst - Merchant Network Strategy & Analytics

Rush University Medical Center

<div>Location: Chicago, Illinois
Business Unit: Rush Medical Center
Hospital: Rush University Medical Center
Department: Research Computing
Work Type: Full Time Remote (Total FTE between 0.9 and 1.0)
Shift: Shift 1
Work Schedule: 8 Hr (8:00:00 AM - 5:00:00 PM)
Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).
Pay Range: $34.61 - $51.57 per hour
 
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush&rsquo;s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.
Summary:
 
The Analyst will support the research, clinical, quality improvement, and business data analysis needs of Rush University Medical Center. The Analyst will assist clinical faculty and Principal Investigators to identify and gather necessary data that span operational through research needs and will build databases to permit queries. The analyst will have a direct reporting relationship to the Knowledge Management Team, Medical Director, and Chief Analytics Officer, who are the subject matter experts in data access and research data requests. Exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.
<div>Other information:
 
Required Job Qualifications:
 
<ul><li>Master's degree in information science, computer science, epidemiology, biostatistics, or equivalent technical experience.
</li><li>Strong analytic, issue resolution, and facilitation skills.
</li><li>Demonstrated proficiency writing SQL stored procedures or queries.
</li><li>Able to present complex information in an understandable and compelling manner.
</li><li>Able to prioritize and multi-task to manage expectations of multiple stakeholders.
</li><li>Able to deliver high quality, timely work product with significant autonomy.
</li><li>Effectively adapts to rapid changes in project or data requirements and changing directions.
</li><li>Strong written and verbal communication.
</li><li>Effective interpersonal and teamwork skills.
</li><li>Expertise with data and analytics tools.
</li><li>Experience querying and analyzing data with SQL programming language or equivalent tools.
</li></ul> 
Preferred Job Qualifications:
 
<ul><li>At least three years of experience in statistical software (e.g. SAS or R), with data science experience.
</li><li>Some experience in the health care setting.
</li><li>Familiarity with healthcare industry or healthcare information systems.
</li><li>Experience with Epic.
</li><li>Experience with financial /claims data. 
</li></ul></div><div>Responsibilities:
 
<ul><li>Gather business/data requirements from clinical faculty and Principal Investigators and collaborate on the best way to design studies or to build study cohorts based on the Analyst's knowledge of available systems. Acts as interface between clinical experts and IT to determine feasibility, timelines, and cost of date requests.
</li><li>Uses third party software tools and research data warehouse in development of queries and visualizations. Creates research data marts using the enterprise IT architecture.
</li><li>Serves as representative for the KM Team on committees and initiatives that involve multi-site studies to facilitate IT and research informatics collaborations.
</li><li>Participates in analytics-based projects that leverage data collected from electronic medical records to measure and predict patient outcomes.
</li><li>Works with statisticians and mathematicians to design predictive models using statistical and machine learning methods that will predict patient outcomes.
</li><li>Develops analytic data sets for research and operations and uses statistical software (SAS or R) to analyze data sets as requested by departmental faculty.
</li><li>Produces reports that facilitate evidence-based clinical and financial decisions.
</li><li>Works with CRIO/CMIO/Knowledge Management team to develop new data queries and toolsets.
</li><li>Member of the IT business intelligence/knowledge management team at Rush. Maintains peer relationship and collaborative knowledge exchange with IT counterparts.
</li></ul></div>Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.</div>

Clinical Data Analyst

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