Statistics Job Postings

Analyst, Business Insights - InMoment

Organization:

InMoment

Position Title:

Analyst, Business Insights

Post date:

Tue, 05/22/2018 - 14:21

InMoment is looking for graduating students with an interest in applying for a position involving mining, analyzing, and synthesizing insights from customer surveys. The position requires strong analytical, technical, and logical thinking. 

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. For more information you can visit their website at: www.inmoment.com

You can apply through this link or email our contact, Lindsey Glauser (email career.placement@stat.byu.edu for her contact information), with your resume/cover letter.

Organization website:

Description and Application

Data Analyst - Medic.Life

Organization:

Medic.Life

Position Title:

Data Analyst

Post date:

Fri, 05/11/2018 - 08:44

Medic.Life is looking for a full-time candidate to start immediately.

Full description attached. 

Contact Dan Hendricks (get contact info from career.placement@stat.byu.edu) with any questions or to send resume. 

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

Analyst, Business Insight - Swire Coca-Cola

Organization:

Swire Coca-Cola

Position Title:

Analyst, Business Insight

Post date:

Tue, 04/10/2018 - 10:17

Swire Coca-Cola in Draper, UT is looking to hire an Analyst. This position is full time and will process routine financial business reporting and ad hoc financial analysis for the total business in support of the overall profitability of the company. This position is responsible for ensuring quality, reliable and relevant information is delivered on a timely basis for use in evaluation and decision making.

 

A full description is attached. They are specifically looking to hire a statistics student!

 

Those interested should forward resumes or applications to Brent Anderson (get email from career.placement@stat.byu.edu). 

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 Analyst - Blue Raven Solar

Organization:

Blue Raven Solar

Position Title:

Data Analyst

Post date:

Thu, 03/22/2018 - 15:35

Jacob Moody (a recent graduate) is looking for a part-time analytics intern. The job description is attached. If you are interested please send him your resume directly (email career.placement@stat.byu.edu for Jacob's email).

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

Data Analyst/SQL Analyst - AdvisX

Organization:

AdvisX

Position Title:

Data Analyst/SQL Analyst

Post date:

Thu, 02/08/2018 - 08:52

We are seeking a career-focused individual who is proficient in one or more programming languages (preferably SQL and R) and is looking to actively progress toward becoming a subject matter expert on two key banking risk areas: Bank Secrecy Act and Fair Lending Compliance. Flexible hours. Travel opportunities. Innovative ideas are welcomed and encouraged.

This person would interact directly with clients to get from them data in a variety of formats into a format that can be analyzed. For Bank Secrecy Act work, this person analyzes the submitted data using SQL (preferred) or other programming language to identify patterns of activity that may arouse suspicions of money-laundering activity that may warrant closer investigation by our team of analysts. For Fair Lending work, this person analyzes the submitted data through regression analysis techniques to identify patterns of activity that may suggest discrimination or the absence thereof. 

Basic writing skills are important, as this person also prepares portions of written reports that present the findings in a way that can be understood by individuals who may be experienced in banking, but may not be technically proficient in data analytics.

**Please email your resume and a cover letter (hailey.jensen@advisx.com) to be considered for the position. 

Qualifications

Job Requirements:
• Four-year degree.
• Proficient in one or more programming languages (preferably SQL).
• Ability to communicate complex ideas simply.
• Ability to parse data in varying formats. 
• Ability to interact well with clients.

Location

Provo, Utah

Skills

Communication, Communication/Writing, Communication/Editing, Computer, Computer/Data analysis, Computer/Microsoft Office, Computer/Database systems, Computer/Database systems/SQL, Computer/Database systems/MySQL, Business, Business/Finance, Statistics, Mathematics/Mathematical Analysis, Mathematics/Reasoning

Organization website:

Search job title here

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