data engineer

data integration analyst

data operations analyst

data science analyst - lms support Jobs in Chicago

data science analyst - lms support

data science, analyst

data scientist

Katalyst Healthcares & Life Sciences

<div><div><b>Job Description:</b>
<ul><li>Role is responsible for designing, planning, and executing large scale data analysis, and algorithm development to identify gaps in the care continuum and to measure impact using RWD.
</li><li>This work highlights the value of utilizing real world data to inform or address strategic questions in the disease areas of interest to the client.
</li><li>The role involves the application of statistical theories, analytical methods, and technical programming skills to analyze clinical, survey, claims, and electronic medical record databases.
</li><li>Role supports the department as a technical subject matter expert on RWE analytics; candidate is expected to act as point of contact for the assigned therapeutic area (TA) on analytical needs, proactively mitigating, resolving and triaging issues and reducing the operational complexity needed.
</li><li>candidate is expected to standardize coding convention, and processes to increase efficiency.
</li><li>Candidates must be adept at breaking down complex data into easily understood language and/or visualization for less technical audiences. Candidates should also be creative in the use of RWD and propose solutions to answer business questions.
</li></ul><b>Responsibilities:</b>
<ul><li>The candidate is expected to have the potential to be the analytics lead for the assigned therapeutic area (TA) to mitigate, resolve and triage analytical complexities.
</li><li>Presenting results of analysis and contribute presentation of findings and key takeaways for various audiences.
</li><li>Identifying appropriate internal and external data resources and external expertise to execute strategies and research activities.
</li><li>Executing analysis plans and providing consultation to design as needed.
</li><li>Work with Medical engagement to understand key impact variables and use RWD to quantify and operationalize these variables.
</li><li>Responsibility and accountability for meeting timelines in complex matrix structure. This will require developing and maintaining effective cross-functional working relationships to assure effective teamwork and overseeing problem solving within the analytical team.
</li><li>Interactions with Medical Engagement, Business Unit TAs, HEOR, and RWE CoE regarding findings and with other members of the Analytical team that perform QC activities on their studies.
</li><li>Translating TA business needs into project concepts to develop supporting data dictionary and corresponding analysis.
</li></ul><b>Requirements:</b>
<ul><li>Master's degree in Statistics or related discipline required, PhD in statistics or closely related discipline (e.g., Health Economics and Outcomes research, Epidemiology, health services research etc.) preferred.
</li><li>Minimum of 1-2 years' experience in analytics programing (SAS, SQL, R, Python) required. The candidates with Python and machine learning experience are preferred.
</li><li>Ability to incorporate production code macros required, ability to execute programming assignments and problem solve issues independently, and ability to present complex research and data clearly to stakeholders.
</li><li>Experience and/or training in the application of advanced scientific and analytical methods in real world evidence generation.
</li><li>Ability to perform urgent analyses that are needed with short turnaround time and interact with internal and external collaborative partners on joint projects.
</li><li>Professional training in a healthcare field, experience in analysis of large medical claims datasets or prior experience in the UNIX/Hadoop environment preferred.</li></ul></div></div>

RWE Data Scientist

<div><div><b>Responsibilities:</b>
<ul><li>Design, build, document, and maintain custom state of the art RNAseq and other OMICs data-analysis pipelines and front-end tools for a large user base.
</li><li>Detect and resolve software bugs and performance issues. Provide on-demand technical support for applications.
</li><li>Educate and train colleagues in usage of these tools.
</li><li>Containerize on-premises and cloud systems, execute extensive test strategies, including unit and integration tests, to ensure software quality.
</li></ul><b>Requirements:</b>
<ul><li>Degree in computational biology, bioinformatics, computer science, biophysics, biotechnology or related field. BS with 3-5 years of experience, MS with typically 2-4 years of experience.
</li><li>Advanced knowledge in programming languages commonly used in bioinformatics such as R and python.
</li><li>Extensive experience in Front-End/tool development such as R-Shiny or React like frameworks.
</li><li>Experience working with cloud (AWS), high-performance computing environments (UNIX) and version control systems like Git.
</li><li>Proficiency in statistical analysis methods such as linear regression and multivariate analysis. Expertise in OMICS data analysis, especially RNAseq, including experiment design, data processing, and result interpretation using bioinformatics tools is a plus
</li><li>Demonstrated experience in pharmaceutical industry or related field is a plus.
</li><li>Excellent analytical and troubleshooting skills.
</li><li>Good communication skills, team-oriented, with focus on achieving team goals
</li></ul><b>Work environment:</b>
<ul><li>Part of the international bioinformatics team.
</li><li>Remote in EST or CST time zone.
</li><li>Dedicated scientist as supervisor for the project duration.</li></ul></div></div>

Bioinformatics Analyst III

The University of Chicago

<div><div>Department</div>
BSD MED - Hematology and Oncology - Torcasso Research Staff<div><br>
About the Department</div>
The Section of Hematology/Oncology has a proud and long tradition of excellence in research-based patient care and clinical discovery. Ranked among the finest cancer programs in the country, the Section is comprised of nationally and internationally known faculty with expertise in all major types of malignancies, blood disorders, and experimental therapies.<div><br>
Job Summary</div>
The Data Science, Analyst will will work to maintain and deploy algorithms for accurate detection, segmentation, and classification of cells and structures in biomedical image data. Additionally, the candidate will analyze spatial transcriptomic data to evaluate spatial patterns of genes in tissues. They will primarily work on projects involving spatial characterization of cells and genes in the tumor microenvironment of breast and bladder cancers. The candidate should be proficient in Python with a familiarity of specific libraries/APIs including sci-kit learn, pandas, skimage, and PyTorch. Strong interpersonal and communication skills are also required for successful integration into a team of researchers.<div></div><div>
Responsibilities</div><ul><li><div>
Optimize and maintain algorithms in biomedical image analysis pipelines.</div></li><li><div>
Validate algorithm performance on novel datasets.</div></li><li><div>
Analyze spatial transcriptomic data.</div></li><li><div>
Perform statistical analyses on data extracted form bio-images and other spatial data.</div></li><li><div>
Documentation and versioning of code and results.</div></li><li><div>
Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives.</div></li><li><div>
May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.</div></li><li><div>
Performs other related work as needed.</div></li></ul><div><br>
Minimum Qualifications</div><div>
Education:</div>
Minimum requirements include a college or university degree in related field.<div><br>
Work Experience:</div>
Minimum requirements include knowledge and skills developed through &lt; 2 years of work experience in a related job discipline.<div><br>
Certifications:</div><div>
-</div><div></div><div>
Preferred Qualifications</div><div></div><div><div><div><div><div><div><div><div><div><div>
Education:</div><ul><li><div>
Advanced degree in Computer Science, Bioinformatics, or Data Science.</div></li></ul><div><br>
Experience:</div><ul><li><div>
Experience processing and managing both image and tabular data.</div></li></ul><div><br>
Preferred Competencies</div><ul><li><div>
Proficiency in Python, BASH, SLURM and PyTorch; familiarity with R.</div></li><li><div>
Analytical skills.</div></li><li><div>
Problem-solving skills.</div></li><li><div>
Attention to detail.</div></li><li><div>
Organizational skills.</div></li><li><div>
Verbal and written communication skills.</div></li><li><div>
Ability to work independently and as a team.</div></li></ul><div><br>
Application Documents</div><ul><li><div>
Resume/CV (required)</div></li><li><div>
Cover Letter (preferred)</div></li></ul></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><br>
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.</div></div></div></div></div></div></div></div><div><br>
Job Family</div>
Research<div><br>
Role Impact</div>
Individual Contributor<div><br>
Scheduled Weekly Hours</div>
40<div><br>
Drug Test Required</div>
No<div><br>
Health Screen Required</div>
No<div><br>
Motor Vehicle Record Inquiry Required</div>
No<div><br>
Pay Rate Type</div>
Hourly<div><br>
<br>
FLSA Status</div>
Non-Exempt<div><br>
<br>
Pay Range</div>
$24.04 - $31.25<div>
The included pay rate or range represents the University&rsquo;s good faith estimate of the possible compensation offer for this role at the time of posting.</div><div><br>
Benefits Eligible</div>
Yes<div>
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the<div> </div><div>Benefits Guidebook</div><div>.</div></div><div><br>
Posting Statement</div><div>
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the <div>University's Notice of Nondiscrimination.</div></div><div></div><div><br>
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via <div>Applicant Inquiry Form.</div></div><div></div><div><br>
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.</div><div></div><div><br>
The University of Chicago's Annual Security &amp; Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: <div>http://securityreport.uchicago.edu</div>. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.</div></div>

Data Science, Analyst

Cook County State's Attorney's Office

<div><p><b>Job Title:</b> Data Integration Analyst</p>
<p><b>Reports to</b>:<b> </b>Chief Data Officer/Deputy CIO</p>
<p><b>Salary</b>: $84,238</p>
<p><b>Grade/Step</b>: 19/E</p>
<p><b>Location: </b>While the location is posted as 69 W Washington, this role will be expected to travel to various courthouse locations throughout Cook County</p>
<p><b>Bureau: </b>Administrative Services<b>
</b></p><p><b>Division/Unit: MIS
</b></p><p><b>Application deadline: </b>October 30, 2025</p>
<p><b>Working Environment</b>: Hours: Monday &ndash; Friday 8:30 a.m. to 4:30 p.m.</p>
<p><b>General Description:</b></p>
<p>The Management Information Systems Department of the Cook County State&rsquo;s Attorney&rsquo;s Office is looking for a Data Integration Analyst to collaborate with staff across the office and help design data systems and processes that enhance data collection, transfer, insight generation, and operational implementation related to the work of the Cook County State&rsquo;s Attorney. A DIA transforms raw data into actionable insights to support business decisions. They collect, clean, analyze, and visualize data using tools like Excel and Tableau. Key responsibilities include identifying trends, creating reports, and collaborating with teams to inform strategies. DIAs will be responsible for identifying and executing opportunities to increase public transparency about the office's activities, as well as developing innovative visualizations to improve user experience.</p>
<p><b>Working Environment and Reporting Structure:</b></p>
<p>The Data Integration Analyst will engage with prosecutors, administrative staff, and investigators throughout the office. They will report directly to the Chief Data Officer.</p>
<p><b>Duties/Requirements:</b><br>
<br>
1. Data Quality and Integrity</p>
<ul><li>Ensure that data is accurate, consistent, and reliable throughout its lifecycle, which is critical for making valid and trustworthy decisions</li>
<li>Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors</li>
</ul>
<p>2. Collecting Data from Various Sources</p>
<ul><li>Gather data from various sources, including databases, APIs, and third-party sources, and ensure the upkeep of databases and data systems.</li>
</ul>
<p>3. Developing and Supporting Reporting Processes</p>
<ul><li>Create and maintain processes to generate accurate and timely reports that help stakeholders understand and act on key data insights</li>
<li>Identify opportunities for process enhancements</li>
<li>Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes</li>
</ul>
<p>4. Developing Automated Processes for Data Scraping</p>
<ul><li>Design scripts and tools to automatically extract large volumes of data from websites or other digital sources, improving efficiency and availability.</li>
</ul>
<p>5. Interpret Data</p>
<ul><li>Detect, examine, and decode trends or patterns within intricate datasets
</li><li>Employ statistical techniques to scrutinize data and produce actionable business insights</li>
<li>Your analyses will help extract meaningful insights and trends, which can then inform business decisions and strategies</li>
<li>Develop data dashboards, charts, and visual aids to support decision-making across departments</li>
</ul>
<p>6. Performs Complex Analyses</p>
<ul><li>Conduct in-depth data analyses using advanced statistical methods and tools to uncover patterns, correlations, and insights</li>
</ul>
<p>7. Maintaining Databases</p>
<ul><li>You will be entrusted with the responsibility of managing and updating databases to ensure they are secure, accessible, and functioning properly. Your role is crucial in supporting ongoing data storage and retrieval needs.</li>
</ul>
<p>8. Collaboration</p>
<ul><li>Coordinate with management to align business and informational priorities</li>
<li>Collaborate with the management team to determine and rank the needs of different business units.</li></ul><br>
<p><br>
Beyond developing better internal systems around data, DIAs will also be responsible for helping develop and improve data sets and analysis for the public and as well as researchers who are working with the office. DIAs will spend part of their time providing technical training to individuals both within and outside of the office to better understand our methodologies and utilization of best practices as it relates to data sources, extraction, analysis, and visualization,<br>
<br>
<b><i>Minimum Qualifications:</i></b></p>
<ul><li>A bachelor's degree in Computer Science, Information Management, Statistics, or a comparable discipline from an accredited educational institution of higher learning is required.</li>
<li>A minimum of 2 years of experience in data services or sciences supporting data infrastructure, SQL scripting, analytics, and/or visualization.
<ul><li>Python or SQL Certification from an accredited vendor or educational institution.</li>
</ul></li><li>Python or SQL Certification from an accredited vendor or educational institution.</li>
<li>Able to manipulate large data (100,000+ rows) sets in Microsoft Excel, SQL, R, STATA</li>
<li>Two or more of the following disciplines:
<ul><li>Experience building out and maintaining data pipelines/ETL jobs</li>
<li>Proficiency with data visualization tools such as Power BI or Tableau</li>
<li>Proficiency in programming, particularly with PowerShell and SQL</li>
<li>Experience developing workflow systems focused on capturing high-quality data</li>
<li>Familiarity with programming languages such as Python, PowerShell, R, SQL, STATA, VBA</li>
</ul></li></ul><p><b><i>Preferred Qualifications:</i></b></p>
<ul><li>A master&rsquo;s degree in Computer Science, Information Management, Statistics, or a comparable discipline from an accredited educational institution of higher learning.</li>
<li>3 years&rsquo; experience in technology support focused on desktops, Microsoft applications, and other prosecution-related technologies.</li>
<li>Expert level of proficiency in programming, particularly with PowerShell and SQL</li>
</ul>
<p><b><i>Knowledge, Skills &amp; Abilities:</i></b></p>
<ul><li>Organized with high attention to detail</li>
<li>Experience with data management/analysis</li>
<li>Creative problem solver with the ability to self-teach</li>
<li>Solid understanding of multi-relational data structures</li>
<li>Comfortable working in an iteration-based environment</li>
<li>Ability to build relationships and trust across departments</li>
<li>Ability to manage multiple tasks and projects concurrently</li>
<li>Self-starter who is comfortable working both independently and with a team</li>
<li>Strong interpersonal and communication skills, specifically the ability to communicate technical concepts to a non-technical audience</li>
<li>An understanding of criminal justice systems</li>
<li>An understanding of how to design a meaningful data visualization</li>
</ul>
<p><b>Physical Requirements:</b><br>
Sedentary work. Sedentary work involves lifting no more than 10 pounds at a time and occasionally lifting or carrying articles like docket files, ledgers, and small tools. Although a sedentary job is defined as one which involves sitting, a certain amount of walking and standing is often necessary in carrying out job duties. Jobs are sedentary if walking and standing are required occasionally, and other sedentary criteria are met.</p>
<p>EEO Message:</p>
<p>The Cook County State&rsquo;s Attorney&rsquo;s Office (CCSAO) is an equal opportunity employer, which seeks to recruit, develop, and retain the most talented people from a diverse candidate pool. The CCSAO does not discriminate on the basis of race, color, religion, sex, pregnancy, national origin, age, physical and mental disability, sexual orientation, gender identity, gender expression, and any other characteristic protected by federal, state, or local law. Upon request, the CCSAO will provide reasonable accommodation for qualified individuals due to a disability or pregnancy. The EEOP report can be found on our website at www.cookcountystatesattorney.org.</p></div>

Data Integration Analyst

tastytrade, Inc.

<div><p><b>Company: </b>tastytrade<br>
<b>Role: </b>Data Engineer
<br>
<b>Location:</b> Chicago, IL &ndash; Hybrid 4 days/week in office</p>
<p>
We're looking for a Data Engineer to join our Analytics team. You'll own data pipeline architecture. You'll upskill those around you. You'll have a real influence on how we build our data platform. We need an experienced data engineer who can own their projects while being a member of a full stack data team&mdash;data scientists, data engineers, and analysts who take full ownership of our data pipelines and feature generation. This is a full-scope role. You design systems. You make tech decisions. You ship. You iterate. If you have a good idea and can execute it, we'd love to learn.</p>
<p><b>
What You'll Do</b></p>
<ul>
<li>Lead ad-hoc analysis using both internal and external data sources for a variety of different teams to understand how our customers interact with our products</li>
<li>Design and build scalable data pipelines using dbt, Python, Airflow, and Snowflake to support various business processes (such as our executive reporting dashboards)</li>
<li>Own data quality and observability&mdash;you're the one who cares about data being right</li>
<li>Make architectural decisions: schema design, tool selection, trade-offs</li>
<li>Write ELT code using modern data engineering practices (Git, automated testing and deployments)</li>
<li>Debug production data issues when they break (and they will)</li>
<li>Collaborate with multiple teams including upstream data producers (Software Engineering/DevOps teams) and downstream data consumers (Marketing/Product/Leadership teams)</li>
<li>Upskill those around you through code review, design collaboration, and knowledge sharing</li>
<li>Contribute to data visualization and reporting efforts in Tableau</li>
<li>Optimize performance, improve processes, level up team practices</li>
<li>Process, clean, and validate data from a variety of external sources and internal data pipelines</li>
</ul>
<p><b>What </b><b>You Are:</b></p>
<ul>
<li>2-5 years of professional data engineering experience</li>
<li>Expert SQL skills&mdash;you think in queries, optimize ruthlessly</li>
<li>Real dbt experience&mdash;not just exposure, actual production work</li>
<li>Solid Python&mdash;production code, not scripts</li>
<li>Hands-on Airflow (or Prefect/Dagster)</li>
<li>Cloud data warehouse experience (Snowflake, BigQuery, Redshift)</li>
<li>Understanding of data product lifecycle, standards and practices</li>
<li>Knowledge of quality data functions like cleansing, standardization, parsing, and validation</li>
<li>Proven ability to design systems and lead projects</li>
<li>You communicate clearly with non-engineers and engineers alike</li>
<li>Proficiency with version control systems (Git/GitHub) and command line interfaces</li>
</ul>
<p><b>Nice to Have</b></p>
<ul>
<li>Kubernetes or infrastructure-as-code experience</li>
<li>CI/CD and DevOps practices</li>
<li>Data quality frameworks (Elementary, Great Expectations, Monte Carlo)</li>
<li>Financial services background</li>
<li>Advanced Airflow patterns, custom operators</li>
<li>Experience with agile development practices and project lifecycle</li>
</ul>
<p><b>You'll</b><b> Own</b></p>
<ul>
<li>Pipeline architecture and performance</li>
<li>Data quality infrastructure and observability</li>
<li>Strategic initiatives to improve our data platform</li>
</ul>
<p><b>Our Stack</b></p>
<ul>
<li>Snowflake</li>
<li>Dbt</li>
<li>Airflow</li>
<li>Tableau</li>
<li>Python</li>
<li>AWS (S3, ECR, EKS)</li>
<li>Github</li>
<li>ArgoCD</li>
<li>Elementary</li>
<li>Grafana</li>
</ul>
<p><b>Team Perks/Benefits:</b></p>
<ul>
<li>Performance Bonuses</li>
<li>Stock Purchase Options</li>
<li>401k Plan</li>
<li>Medical/Dental/Vision Benefits</li>
<li>20 Paid Vacation Days (plus an additional paid vacation day the month of your birthday!)</li>
<li>10 Paid Sick Days</li>
<li>Gym Membership Reimbursement</li>
<li>Commuter Benefits</li>
<li>Pet Insurance</li>
<li>Wellness &amp; Mental Health Programs</li>
<li>Charitable Donation Matching</li>
<li>Two Paid Volunteer Days Off</li>
<li>Daily catered lunch when in the office</li>
<li>Full kitchen with snacks and beverages</li>
<li>In-building gym</li>
<li>Shuttle to/from Metra</li>
<li>Office located in the West Loop - Chicago's growing center of tech, great cuisine, and high-end bars</li>
</ul>
<p><b>Salary Range:</b> $110,000 - $130,000<br>
<i>The actual salary offered will be based on the candidate's level of experience and qualifications</i></p>
<p><b>
Discretionary performance bonus:</b><i> </i>8-12% of base salary based on individual and company performance<br>
<br>
<b>About Us:</b><br>
<br>
The tasty house of brands empowers individual traders differently. tasty<i>live</i>, founded in 2011, is an online financial media network, tastytrade (previously known as tastyworks) is a self-directed retail brokerage firm that launched in 2017, tasty Software Solutions and tastyfx, is a registered Forex broker-dealer. In 2021, London-based IG Group acquired tasty<i>live</i>, Inc. (previously known as tastytrade) and assigned it to lead business in North America. tastyfx is the fastest-growing forex broker in the US over the past few years. Changing the IG US name to tastyfx marks the next chapter, in aligning with the tasty brand family and offering a more forex-focused experience. This combined team has years of experience like institutional brokers, but also a passion for disrupting the entire trading industry.</p>
<p>
Our dream is simple: we want more people to find more success with a better trading experience. That's why we're investing heavily in the right people, technology, and media to make that happen in the US and across the globe.</p>
<p><b>
Location: </b>Our office is in the West Loop - Chicago's growing center of tech, great cuisine, and high-end bars.</p>
<p><b>
tastytrade | tasty</b><b><i>live</i></b><b> | tastyfx | tastycrypto</b><br>
1330 W Fulton Market, Chicago, IL 60607</p>
<ul><li>Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they have every single qualification. Our team is dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly, we encourage you to apply anyway. You may be just the right candidate for this or other roles!</li></ul></div>

Data Engineer

U.S. Bank

<p></p><div><p>At U.S. Bank, we&rsquo;re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at&mdash;all from Day One.</p><p></p><h2 class="jobSectionHeader"><b>
Job Description</b></h2><p>
U.S. Bank is seeking a highly skilled and data-savvy Marketing Analyst to join the Marketing Analytics and Technology team. The ideal candidate will have a strong technical background in data analysis and the ability to draw actionable insights from data to optimize marketing efficiency. This role will focus on upper funnel metrics, including brand awareness and consideration, as well as utilize Marketing Mix Models (MMM) to measure and optimize the impact of our brand marketing efforts on driving ROI.</p><p></p><div><div><div><div><p><b>
Primary Responsibilities</b></p><ul><li><p>
Analyze and interpret data to provide insights and recommendations for brand marketing strategies.</p></li><li><p>
Perform various segmentation and marketing campaign analyses to continually make recommendations for optimizing marketing campaigns.</p></li><li><p>
Use statistical methodologies to help design marketing campaign experimentation and test and learn discipline to measure incrementality from marketing</p></li><li><p>
Synthesize cross channel marketing performance in a cohesive story, inclusive of Owned, Paid Media and Mass media channels.</p></li><li><p>
Collaborate with cross-functional teams to align marketing strategies with business objectives.</p></li><li><p>
Leverage multiple analytic tools (research/survey analytics, MMM models etc.) with a focus on storytelling with data.</p></li><li><p>
Present findings and recommendations to marketing and line of business partners.</p></li></ul><p></p><p><b>
Basic Qualifications</b></p><ul><li><p>
Bachelor's degree in a related field, or equivalent work experience</p></li><li><p>
Five to seven years of statistical and/or data analytics experience</p></li></ul><p></p><p><i>
This position is not eligible for visa sponsorship</i></p><p><b>
Preferred Qualifications</b></p><ul><li><p>
5 years of relevant experience in analytics, dashboarding, and driving insights, storytelling.</p></li><li><p>
3+ years of hands-on experience and knowledge leveraging SQL, SAS, python</p></li><li><p>
Expert user of analytics data visualization tools such as Tableau or Power BI</p></li><li><p>
Hands-on experience with datasets produced from various marketing tactics including direct mail, e-mail, programmatic/direct buy display, social media, affiliate marketing, SEO/SEM, as well as owned channel advertising on digital properties</p></li><li><p>
Understanding of various marketing measurement methodologies including AdTech platform reporting, last touch attribution and Marketing Mix Modeling</p></li><li><p>
Experience in financial services with knowledge of products, customers, transaction and interaction data, including source systems</p></li><li><p>
Impeccable attention to detail, while being comfortable with data ambiguity</p></li><li><p>
Ability to work and thrive in collaborative work environment as well as independently to drive results</p></li></ul><p>
Tag: INDMO</p><p></p><ul><li><b>Th</b><b>is</b><b> role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.
</b></li></ul></div></div></div></div><p></p><p>If there&rsquo;s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
</p><p></p><p><b>Benefits:</b></p><p>
Our approach to benefits and total rewards considers our team members&rsquo; whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):</p><ul><li><p>
Healthcare (medical, dental, vision)</p></li><li><p>
Basic term and optional term life insurance</p></li><li><p>
Short-term and long-term disability</p></li><li><p>
Pregnancy disability and parental leave</p></li><li><p>
401(k) and employer-funded retirement plan</p></li><li><p>
Paid vacation (from two to five weeks depending on salary grade and tenure)</p></li><li><p>
Up to 11 paid holiday opportunities</p></li><li><p>
Adoption assistance</p></li><li><p>
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law</p></li></ul><p></p><p>
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.</p><p></p><p><b>
E-Verify</b></p><p>
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.</p><p></p>
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00<p></p><p>
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.</p><p></p><p>
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.</p><p></p><p><b>
Posting may be closed earlier due to high volume of applicants.</b></p></div>

Marketing Analytics Analyst

Bank of America

<div><p><b>Job Description:</b></p><p></p><p>
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.<br>
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Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates&rsquo; physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.<br>
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Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.<br>
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At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!</p><p><b><br>
Job Description:</b><br>
This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.</p><p></p><p><b>
Responsibilities:</b></p><p></p><ul><li>
Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers</li><li>
Supports the planning related to setting quantitative work priorities in line with the bank&rsquo;s overall strategy and prioritization</li><li>
Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation</li><li>
Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite</li><li>
Supports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk</li><li>
Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes</li><li>
Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches</li></ul><p></p><p>
Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA and EIT drive innovation, process improvement and automation.<br>
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As a part of Global Risk Analytics, Global Financial Crimes Modeling and Analytics is responsible for enterprise-wide financial crime model development and implementation, ongoing performance monitoring and optimization, data usage, and research and development utilizing advanced analytical tools and systems. The Global Financial Crimes Modeling and Analytics team is made up of nine sub-teams:</p><ul><li>
Modeling and Analytics Team are responsible for model inventory management, model development and enhancement, model tuning and optimization, model risk management, and model analysis and incident management:</li><li>
US AML Modeling and Analytics is responsible for development and maintenance of all US AML Feeder models as per acceptable model risk practices and defined performance parameters to meet firm&rsquo;s AML Risk Coverage, while maintaining operational viability.</li><li>
Non-US AML Modeling &amp; Analytics is responsible for development and maintenance of Non-US AML Feeder models to address the regional regulatory guidelines while meeting the bank&rsquo;s AML Risk Coverage. Automates suspicious activity monitoring while optimizing the effectiveness and the efficiencies of our models for the detection of potential threats.</li><li>
Case Generation Modeling &amp; Analytics is responsible for the EP model which consolidates and risk ranks alerts generated from US and Non-US AML detection models and promotes suspicious activity as cases for investigation.</li><li>
Economic Sanction and Screening Modeling &amp; Analytics is responsible for models that detect and prohibit transactions made by individuals or entities that are listed on sanctions watch lists.</li><li>
Ongoing Monitoring Review, Management Information, Analysis and Below-the-Line/Threshold (BTL/BTT) Testing is responsible for periodically substantiating the ongoing fitness of financial crime models in accordance with a model&rsquo;s approved Ongoing Monitoring Plan (&ldquo;OMP&rdquo;). Ongoing Model Monitoring Reports (&ldquo;OMRs&rdquo;) assess environmental changes, model limitations, assumptions, process verification and outcomes analysis for each model. OMRs summarize trends in key metrics and provide critical analysis of model performance with respect to metric thresholds; identify threshold breaches and document remediation plans. In addition, the ongoing monitoring process includes the inline monitoring activities performed between reporting cycles, the results of those activities, and any escalations during the period. The team is also responsible for management information design and implementation, investigations forecasting, and BTL/BTT framework design and oversight.</li><li>
Engineering, Data &amp; Analytics is responsible for model development and testing platforms, model production and delivery, model data framework, key business elements, and specialized and complex analytics.</li><li><ul><li>Research and Development is responsible for future thinking concepts, innovation coordination, tools and technique assessment, artificial intelligence oversight, and vendor assessment oversight.</li></ul></li><li>
Program Management &amp; Regulatory is responsible for overseeing cross-functional initiatives and providing project management support to deliver timely execution of GFCMA's book of work, strategic initiatives, and critical activities in support of regulatory and audit deliverables.</li><li>
Business Management &amp; Control is responsible for Strategy, Governance Oversight and Control, Resource Management, Process Excellence, Issue Management and COO function.</li></ul><p><br>
As a Quantitative Finance Analyst on the Global Financial Crimes Modeling and Analytics team, your main responsibilities will involve performing more complex analysis and supporting development of Non-US AML model development.</p><p><b>
Required Qualifications:</b></p><ul><li>
Effectively creates a compelling story using data; Able to make recommendations and articulate conclusions supported by data</li><li>
Strong Programming skills e.g. R, Python, SAS, SQL, R or other languages</li></ul><p></p><p>
Desired Qualifications:</p><ul><li>
Experience with complex data architecture, including modeling and data science tools and libraries, data warehouses, and machine learning</li><li>
Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques</li><li>
Ability to extract, analyze, and merge data from disparate systems, and perform deep analysis</li><li>
Experience designing, developing, and applying scalable Machine Learning and Artificial Intelligence solutions</li><li>
Experience with data analytics tools (e.g., Alteryx, Tableau)</li><li>
Demonstrated ability to drive action and sustain momentum to achieve results</li><li>
Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow</li><li>
Sees the broader picture and can identify new methods for doing things</li><li>
Experience with LaTeX</li></ul><p></p><p><b>
Skills:</b></p><ul><li>
Critical Thinking</li><li>
Quantitative Development</li><li>
Risk Analytics</li><li>
Risk Modeling</li><li>
Technical Documentation</li><li>
Adaptability</li><li>
Collaboration</li><li>
Problem Solving</li><li>
Risk Management</li><li>
Test Engineering</li><li>
Data Modeling</li><li>
Data and Trend Analysis</li><li>
Process Performance Measurement</li><li>
Research</li><li>
Written Communications</li></ul><p></p><p><b>
Minimum Education Requirement: </b>Master&rsquo;s degree in related field or 2+ years equivalent work experience</p><p></p><p><b>
Shift:</b></p>
1st shift (United States of America)<p></p><p><b>
Hours Per Week:</b></p>
40</div><p></p>

Quantitative Finance Analyst

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