Statistics Job Postings

Customer Success Evangelist - Neighbor

Organization:

Neighbor

Position Title:

Customer Success Evangelist

Post date:

Fri, 06/29/2018 - 14:18

Neighbor, "a Lehi tech startup that connects people with extra space to others in need of storage", is looking to hire someone with an analytic background to fill the position of customer success evangelist.

Organization website:

Description and Application

Health Data Analyst - PEHP

Organization:

PEHP

Position Title:

Health Data Analyst

Post date:

Wed, 06/13/2018 - 13:14

HEALTH DATA ANALYST I

POSITION SUMMARY

Performs data analysis on healthcare data using database queries, spreadsheets, and data visualization software. Responsible for highlighting insights, key takeaways and summarizing results from large datasets in a manner that is easy to understand.  Plays an important role in supporting the reporting function for recurring external group reports.

ESSENTIAL JOB FUNCTIONS AND DUTIES

  1. Writes SQL queries to pull data (medical, pharmacy and dental claims; eligibility; premium; lab results & biometrics; predictive model outputs like risk scores and risk of hospitalization measures). Optimizes queries for speed and ensures the accuracy of the data.
  2. Defines the scope of the data analytic requests by clarifying and documenting what questions the end-user is trying to answer and how the results of the analysis will be used after it is delivered. After completion of analysis, performs necessary follow-up to ensure analysis meets expectations and that end-user understands how to interpret it.
  3. Builds visually intuitive Tableau dashboards that are easy to use to answer likely questions from the end-user. Optimizes visualization speed with common filter interactions. Sets up automatic data refreshes, trains end-user in any functionality of dashboard, and schedules regular follow-ups with end-users to see if there are questions or feedback.
  4. Uses Excel to perform advanced ad hoc analytical projects that involve text parsing, lookups, pivot tables, and graphs in a timely manner.
  5. Assists in updating recurring reports. Investigates and takes action to correct any discrepancy in the data to ensure the integrity of the reports.  
  6. Presents data and conclusions to department and manager for peer review.
  7. Finds meaningful insights from large data sets and assigned analytical assignments and succinctly summarizes and presents conclusions and key takeaways to others.
  8. Finds ways to automate and streamline projects and reports that are commonly recurring.
  9. Maintains strict confidentiality.
  10. Performs other related duties as required.

Organization website:

Description and Application

Research Professional - Chicago Booth

Organization:

University of Chicago Booth School of Business

Position Title:

Research Professional

Post date:

Tue, 06/12/2018 - 11:33

Anya Kleymenova and Rimmy E. Tomy at the University of Chicago Booth School of Business are looking to hire a full-time research assistant to start around August 1, 2018.  This full-time RA will be working on projects in finance and accounting.  They are looking for exceptional graduating seniors or recent graduates who would be interested in working with Professors Kleymenova and Tomy for a year or two before applying to graduate school. This position has been an excellent preparation for Economics PhD programs, with previous participants going on to institutions like Harvard, Berkeley, Stanford, and UChicago.

A job description with information on how to apply is attached.  

Organization website:

Description and application

Text Analytics Developer - InMoment

Organization:

InMoment

Position Title:

Text Analytics Developer

Post date:

Wed, 05/02/2018 - 13:47

Text Analytics Developer/Analyst

InMoment has an immediate opening for a Text Analytics Developer. InMoment provides enterprise-wide insights to help companies understand, monitor, and improve the customer experience. InMoment, consistently voted among Utah’s Best Places to Work, is growing rapidly and provides a fun, dynamic, action-oriented tech environment for energetic, passionate, and motivated self-starters.

This individual will be responsible for designing and implementing proven solutions with InMoment’s industry-leading Text Analytics for major clients across a variety of industries and organizations.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Work with clients to design text analytics solutions for enterprise feedback.
  • Manage deliverables and priorities to ensure timely delivery of product to clients.
  • Construct dictionary databases and linguistic rules which combine to provide highly actionable business insights from text.
  • Use cutting-edge analytics technology to identify and categorize key business insights referenced in large amounts of unstructured customer data.
  • Perform extensive quality assurance on text analytics models to ensure highest possible levels of accuracy.

QUALIFICATIONS:

  • Analytical Skills - Candidate must have strong background and/or skills in analytics, data modeling and manipulation, and reporting. Previous analytical experience is preferred.
  • Technical Abilities - Position requires use of linguistic rule-building software.  Applicant must be adept at learning and mastering new software-based systems and processes.
  • Attention to Detail – Complexity of models and processes requires that candidate be meticulous and detail-oriented. Significant time is required in quality assurance testing, etc.
  • Collaboration - Candidate must have excellent interpersonal skills to collaborate on projects with other team members.
  • Time Management – Candidate must prioritize work to meet timelines with efficiency.
  • Maturity and Ownership - Job involves interaction with executives in key positions of large organizations. Applicant must be able to communicate clearly and effectively and respond well in challenging situations. Applicant must be a self-starter and require minimal management oversight.
  • Computer Skills –  Previous experience with natural language processing tools and/or business intelligence tools such as Tableau and RapidMiner is a plus. Experience with machine learning or word embeddings such as word2vec is a plus.

EDUCATION AND/OR EXPERIENCE:

  • Bachelor's degree from four-year college or university in a related field (Statistics, Math, Economics, or similar); or two or more years related experience.

Organization website:

Description and Application

Sales Operation Analyst - Qualtrics

Organization:

Qualtrics

Position Title:

Sales Operation Analyst

Post date:

Fri, 04/13/2018 - 08:26

Qualtrics in Provo, UT is looking for a Sales Operations Analyst and wanting to hire a graduating statistics major. They are not concerned with a certain emphasis, just with the applicants having a stats major.

At the job you will:

  • Consult with sales leadership analyzing data from multiple systems and helping to improve overall sales processes
  • Manage large cross-functional efforts to shape corporate/sales strategy
  • Transform complex data sets into an easy to use metrics in a data visualization platform (Tableau, Excel)
  • Infuse more science into understanding our sales and become the expert for all data questions regarding sales and sales operations
  • Assemble evidence to support a point of view and draw definitive conclusions and present findings in written and verbal formats to be reviewed by executives
  • Make practical recommendations that drive increased sales
  • Produce and automate reports to track key performance indicators
  • Coordinate with data engineering and provide them with requirements to ensure internal systems capture necessary data and enable the Global Operations team
  • Bachelors degree required

Organization website:

Description and application

Analytics Engineer (Senior) - Health Catalyst

Organization:

Health Catalyst

Position Title:

Analytics Engineer (Senior)

Post date:

Tue, 04/10/2018 - 10:12

Job Summary

The AE role combines deep, analytics skills and a sound understanding of the processes and data that support the business of healthcare to inform a fundamental transformation of healthcare delivery as we know it today.   The primary accountability of the AE is to ensure there is always a queue of measurable opportunities for our clients to act upon that will drive down cost, improve quality, and improve patient experience. 

 

Additional accountabilities include:

  • Training up client resources to own analytics work in the future
  • Helping assess what applications from the HC library would be valuable to deploy at the client site
  • Providing analytic continuity at the client through all phases of deployment.
  • Implementing and promoting Catalyst methodologies, while acting in the long-term best interest of the client. 
  • Managing client expectations and timelines for analytic deliverables.
  • Navigating difficult client conversations with professionalism.
  • Supporting the Analytic Director (AD) in key areas, including deployment, communication on the status of progress to clients, knowledge transfer and training on HC platform and technologies. 
  • Presenting analytic insights to clinical/operational/financial client stakeholders.
  • Interfacing with a variety of Health Catalyst (HC) roles (such as senior directors, product line managers, clinical staff, etc.) on an as needed basis.

 

Duties & Responsibilities

  • Leverage HC software and technologies to perform varied analyses to support client outcomes improvement initiatives across clinical, operational and financial domains.
  • Design data models and visualizations that meet project requirements and comply with HC design standards and principles.
  • Manage technical client projects by providing technical oversight; ensure assigned projects are executed efficiently and according to project requirements and timelines.
  • Conduct data validation tests to ensure quality of measurement.
  • Work with client data architects to train and mentor on HC tools and methodologies
  • All other duties as assigned

 

Required Skills

  • Expert level in Structured Query Language (SQL)
  • Strong experience with Extract, Transform, and Load (ETL) processes and principles. Familiarity with multiple ETL applications is a bonus. 
  • Deep experience designing, implementing and loading custom data models that reflect real-world problems
  • Strong experience delivering analytics to technical, non-technical and leadership teams that influence and support business strategy
  • Strong experience developing visualizations that consume data models for non-technical users
  • Effective written and verbal communication and presentation skills
  • Strong ability to interact with and communicate with all levels of employees and clients
  • Self-motivated; comfortable working at times with limited direction

Organization website:

Description and application

Analytics Engineer (Intermediate) - Health Catalyst

Organization:

Health Catalyst

Position Title:

Analytics Engineer (Intermediate)

Post date:

Tue, 04/10/2018 - 10:11

Job Summary

The AE role combines deep, analytics skills and a sound understanding of the processes and data that support the business of healthcare to inform a fundamental transformation of healthcare delivery as we know it today.   The primary accountability of the AE is to ensure there is always a queue of measurable opportunities for our clients to act upon that will drive down cost, improve quality, and improve patient experience. 

 

Additional accountabilities include:

  • Training up client resources to own analytics work in the future
  • Helping assess what applications from the HC library would be valuable to deploy at the client site
  • Providing analytic continuity at the client through all phases of deployment.
  • Implementing and promoting Catalyst methodologies, while acting in the long-term best interest of the client. 
  • Managing client expectations and timelines for analytic deliverables.
  • Navigating difficult client conversations with professionalism.
  • Supporting the Analytic Director (AD) in key areas, including deployment, communication on the status of progress to clients, knowledge transfer and training on HC platform and technologies. 
  • Presenting analytic insights to clinical/operational/financial client stakeholders.
  • Interfacing with a variety of Health Catalyst (HC) roles (such as senior directors, product line managers, clinical staff, etc.) on an as needed basis.

 

Duties & Responsibilities

  • Leverage HC software and technologies to perform varied analyses to support client outcomes improvement initiatives across clinical, operational and financial domains.
  • Design data models and visualizations that meet project requirements and comply with HC design standards and principles.
  • Manage technical client projects by providing technical oversight; ensure assigned projects are executed efficiently and according to project requirements and timelines.
  • Conduct data validation tests to ensure quality of measurement.
  • Work with client data architects to train and mentor on HC tools and methodologies
  • All other duties as assigned

 

Required Skills

  • Expert level in Structured Query Language (SQL)
  • Strong experience with Extract, Transform, and Load (ETL) processes and principles. Familiarity with multiple ETL applications is a bonus. 
  • Deep experience designing, implementing and loading custom data models that reflect real-world problems
  • Strong experience delivering analytics to technical, non-technical and leadership teams that influence and support business strategy
  • Strong experience developing visualizations that consume data models for non-technical users
  • Effective written and verbal communication and presentation skills
  • Strong ability to interact with and communicate with all levels of employees and clients
  • Self-motivated; comfortable working at times with limited direction

 

Organization website:

Description and application

Data Scientist - CIA

Organization:

CIA

Position Title:

Data Scientist

Post date:

Mon, 04/02/2018 - 08:06

Minimum Qualifications:

  • Bachelor's degree.
  • Experience in a science, technology, engineering or mathematics (STEM) related field
  • GPA of at least 3.0 on a 4.0 scale.
  • Experience with real world data through thesis research, internships, or work experience.
  • Creativity.
  • Initiative.
  • Integrity.
  • Leadership abilities.
  • Problem solving skills.
  • Ability to work in a diverse team environment.

Desired Qualifications:

  • Advanced degree in a data science equivalent field or sub-field.
  • Experience working with data rich problems through research or programs.
  • Experience with computer programming or user experience/user interface.
  • Ability to successfully complete projects with large or incomplete data and provide solutions.
  • Strong written and verbal communication skills.

Organization website:

Description and application

Data Scientist - Navitaire

Organization:

Navitaire

Position Title:

Data Scientist

Post date:

Wed, 02/21/2018 - 08:13

Navitaire, wholly owned Amadeus Company, (Salt Lake City, UT) is looking to hire a Data Scientist.

Main responsibilities

  • Develop and implement predictive models to achieve objectives such as increasing revenue and conversion rates.
  • Assist and mentor other analysts at Navitaire and help train Navitaire customers on the development and use of statistical modeling.
  • Use a combination of data visualization techniques to assist understanding and use of customer’s data.
  • Become a domain expert on the analytical opportunities to be explored within Navitaire and customer data.
  • Guide airlines to create effective experiments that enhance the ability to create more effective predictive models.

Qualifications

  • Hands on experience building predictive models with tools such as R, Python, SAS or other related programs
  • Bachelor's degree in Statistics, Math, Economics, Business, or another related discipline.
  • Advanced skills in SQL
  • Experience in predictive modeling and data mining techniques such as multivariate analysis, Bayesian methods, decision trees and random forest, gradient boosting, linear regression, logistic regression, SVM, neural networks
  • Demonstrated experience in applying machine learning to real-world problems 

Organization website:

Description and application

Associate Data & Analytics Data Scientist - KPMG

Organization:

KPMG

Position Title:

Associate Data & Analytics Data Scientist

Post date:

Fri, 01/26/2018 - 08:52

Responsibilities: 
•Retrieve, prepare, and process a rich data variety of data sources such as social media, news, internal/external documents, emails, financial data, and operational data 
•Analyze and model structured data and implement algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics, and operations research 
•Perform Statistical Natural Language Processing to mine unstructured data, using methods such as document clustering, topic analysis, named entity recognition, document classification, and sentiment analysis 
•Utilize a diverse array of technologies and tools as needed, to deliver insights, such as R, SAS, Python, Spark, Hadoop, Qlikview, and Tableau 
•Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains such as risk management, product development, marketing research, supply chain, and public policy; communicate results and educate others through insightful visualizations, reports and presentations 
•Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships 

Qualifications: 
•PhD or Master's degree from an accredited college/university in Computer Science, Statistics, Mathematics, Operations Research, Engineering, Econometrics, or related fields preferred 
•Knowledge or experience in statistics, data mining, machine learning, and/or natural language processing, preferred 
•Strong problem-solving ability through the use and/or development of algorithms, models, testing, etc. 
•Experience in extracting, cleaning, preparing and modeling data, preferred 
•Experience with command-line scripting, data structures, and algorithms; ability to work in a Linux environment, preferred 
•Proficiency in analysis packages (e.g. R, SAS) and programming languages (e.g. Python, Ruby, Java, Scala), preferred 
•Ability to apply data & analytics concepts to business problems and an understanding of how applying these concepts can provide business value and address client needs 
•Demonstrated ability to work and collaborate effectively in a team 
•Excellent problem-solving skills, verbal/written communication, and the ability to effectively explain both technical and non-technical concepts 
•Targeted graduation dates from December 2017 through Summer 2018

Organization website:

Description and application