Internship Overview This position assists the team in quantitative and qualitative analysis identifying key market statistics and interpreting findings across all areas of the organization. This role will be part of a team that is responsible for ad-hoc analysis as well as ongoing reports and dashboards. This role will require the ability to synthesize and leverage large datasets. The ideal candidate is a motivated team player, high performer with keen analytical and data skills, and is detail oriented.
This is an immediate need for our team and looking for you to start quickly. Responsibilities Gathers information, analyzes data trends, and identifies root causes using SAS or SQL Helps to build dashboards in Tableau that will be used across the organization Strong knowledge of relational databases- ability to pull data from multiple sources to satisfy requests, and also integrate data across sources Create modeling datasets by merging information from various internal and external data sources. Create attributes from raw data that will be used as inputs into the modeling process. Qualifications Bachelor’s degree in marketing, finance, management information systems, mathematics or statistics 1-3 years of relevant experience in data analytics, performance measurement, optimization, and data modeling Working knowledge of data analysis tools including skills to develop analysis queries and procedures in SQL, SAS, or other business intelligence analysis software applications for data segmentation, aggregation, and statistics. Tableau Knowledge is a plus Advanced knowledge in Microsoft Office and PowerPoint Creative presentation skills for visualizing information and analytics in a simple, easy, understood and actionable way Attention to detail/quality and comfortable working with large data sets Creative, technically strong, excellent verbal and written communication skills in order to accurately reflect results. Works well in a team environment but should be able to work individually with minimal supervision Able to effectively balance multiple tasks while meeting tight deadlines in a fast-paced environment Strong desire to proactively identify gaps and improve the status quo
Internship Overview Competitive Intelligence, Primary and Secondary Research, Report Development (i.e. Powerpoint, Word, etc.) Responsibilities Responsibilities include but are not limited to:
Develop knowledge base relevant to assigned project(s) through primary and secondary research Succinctly communicate knowledge base for internal and external audiences Develop implications from research Present work to internal BCBS leaders and staff Foundational understanding of health insurance market, key trends, and product lines Understand how to conduct primary and secondary research within business environment Experience developing business communications Exposure to implication development Experience given presentations to senior audiences Qualifications Required Basic Qualifications: Strong Analytics, Problem Solving, and Communications (written and oral) Skills
Preferred Basic Qualifications: Junior or Senior Classification
Part-time, Internship Duration: One-year, part-time internship. Approximately 20 hours/week during school and 30 hours/week during summer.
Overview: The Operations intern will help FMO Operations with Administrative tasks and developing reporting metrics.
Duties and Responsibilities: Assist in updating FMO Operations facts, FMO mailing lists and phone directory. Assist in submitting SAP requisitions and contracts. Assist in developing Inventory and Equipment Metrics on Power BI, Excel or Tableau
Projects the intern will work on: Inventory metrics dashboard Prototype maintenance cost dashboard Standardize FMO SharePoint documentation.
Internship Goals: Work on data visualization project Learn about the Field Maintenance Operations Learn basic SAP transactions Enhance presentation skills
Qualifications: Major(s): Any Year in school: Bachelor’s Degree Specific course work: Business Analytics, Operations, Information Systems
The above job description is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements.
Location: Chicago, IL Education Experience: High School Diploma/ GED Required Employment Experience: Intern Employment Status: Intern FLSA Status: Nonexempt Direct Reports: No COMPANY OVERVIEW: TTX Company is a leading provider of railcars and related freight car management services to the North American rail industry. TTX’s pool of railcars is ideal for supporting shippers in the intermodal, automotive, paper & forest, metals, machinery, wind energy and other markets where flatcars, boxcars and gondolas are required. TTX Company is an Equal Employment Opportunity Employer.
Internship What’s the role? DAR is seeking a Data Scientist Intern to develop novel map assessment processes and design and build Quality Index models to be published to the HD Live Map. These data accuracy and reliability processes may employ highly scalable Big Data infrastructure and machine learning applied to global-scale digital map-making. The Data Scientist Intern will construct, test, and deploy analytic and predictive models using techniques such as data mining, machine learning, statistics, computer vision, sensor data analysis, robotics, and predictive analysis and modeling. In addition, the Data Scientist Intern will develop assessment and Quality Index strategies while coordinating execution across the DAR group and other HAD teams. Who are you? You should be someone who takes pride in your work, honors your commitments, and enjoys working with teammates to find creative solutions to difficult problems. Required qualifications include working towards an advanced degree (Masters or Ph.D. or equivalent) in a discipline such as Physics, Statistics, Applied Mathematics, Robotics, or Computer Science; experience using scientific modeling and analytic methods (such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc.) to solve science and engineering problems; proficiency with a scientific computing or statistical analysis packages and associated scripting languages such as Python, R, Matlab, SAS, etc.; demonstrated capability to present research findings; and demonstrated proficiency with understanding, specifying and explaining analytic and predictive modeling solutions. Desired qualifications include experience with analysis of geospatial data.
HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.
#LI-KK1 Who are we? Ever checked in somewhere on social media? Ever tracked your online orders? You might be using HERE Technologies every single day without even realizing it. You can find us everywhere: in vehicles, smartphones, drones or third-party apps. We believe that with the right people, we will continue to be a game-changer in the technology industry and improve the daily lives of people around the world. Find out more by clicking the video below or going HERE.
The HAD group enables autonomous mobility solutions by designing and building the HD Live Map. This map for autonomous vehicles has been developed using advanced hardware and software for capturing, processing, and extracting rich datasets from numerous sources such as imagery and 3D Lidar from mobile mapping systems, satellite imagery, and dense GPS probe data from smartphones and vehicles. Within HAD, the Data Accuracy and Reliability (DAR) team owns the assessments of HD Live Map quality and the Quality Index, a predictive confidence level that features in the map reflect and ever-changing reality and enabling the use of the map as a sensor for autonomous driving.
BenU Undergrad Business 