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Posting Date: December 12, 2019 Position: Senior Health Data Analyst (SAS)
Location: Telligen - Greenwood Village, CO
We are currently hiring for a Senior Health Data Analyst to join our Telligen Team!
As a Senior Health Data Analyst at Telligen, you will lead the planning, designing and coordinating implementation of optimal analytical reporting methods for specified health care analysis activities and projects. You will be responsible for developing optimal methodologies for presenting the results of the analysis.
You will write or revise statistical software programs using SAS or other statistical software.
You will coordinate technical development, testing, and documentation of the data analysis solution of analytical reporting activities with technical team members and coordinators. May develop and update documents pertaining to system or software and implement relational database design.
You will lead the planning, designing, and coordinating of the analytical reporting methods for health care analysis activities and projects.
You will coordinate the design of analytical reporting methodologies with end users at all levels.
You will perform maintenance and backup functions for database.
You will research and develop optimal methods of presentation of results.
You will ensure information is presented in a professional and understandable manner.
You will stay abreast of statistical technology and reporting methods.
You will direct the evaluation of various software to determine the most appropriate to use in project analysis and makes recommendations to management for improvements.
Serves as a resource and technical expert to clients and less experienced staff.
What you need to make the cut:
Four year degree in mathematics or related field and/or equivalent training and/or experience; Masters degree preferred
3 - 5 years experience in data analysis or design of analytical reports
Demonstrated experience using SAS
Experience in health care analysis and technical writing preferred
Experience with claims data preferred
As a 100% employee-owned company, our employee-owners drive our business, our solutions and share in our success. Telligen attracts a highly qualified and diverse workforce who display deep dedication, unwavering integrity and willingness to support the communities in which we serve. We approach our vision to be one of the most sought-after companies to transform the health of populations by following through on our values of Ownership, Community, Ingenuity & Integrity
Competitive pay and benefits.We offer comprehensive benefits including medical, dental, vision, HSA; flex spending accounts, life insurance, disability, 401(k) and an ESOP (Employee Stock Ownership Plan).
100% Employee-Owned We have a culture where Ownership matters!
Life/Work Balance. Generous holiday, volunteer and paid time-off benefits.
Casual Dress. Come in a sweatshirt, jeans, whatever...like everyone else here.
Free Fruit Friday. You know what they say about an Apple a Day
Giving Garden.Have a green thumb? Over 3,000 pounds of produce donated annually.
Wellness Program. Healthy employee-owners are engaged employee-owners and we are committed to providing many opportunities to motivate you along your well-being journey through our RevUP! wellness program.
Education. Tuition and education assistance & career related CEU's, license and certifications.
Community. Our Telligen Community Initiative has awarded more than $4 million in grant awards since 2005.
Apply online at:
Posting Date: October 28, 2019
We are looking for an experienced Clinical SAS Programmer to join our team!
The Clinical SAS Programmer is a core member of the Biostatistics & Statistical Programming group. The position is responsible for performing all SAS programming tasks required to support the planning and execution of statistical analysis and reporting of projects and acts as the lead statistical programmer on multiple projects.
The position requires that you have a strong background in the reporting of clinical trial data, using SAS, for use in the pharmaceutical industry and are familiar with the development and conversion of datasets to meet CDISC standards including SDTM and ADaM.
In this position you will:
Here's what you will need to bring to the table:
Note: Viable applicants will be required to demonstrate their computer skills as well as pass a background and education verification check.
This flexible position requires the employee to spend at least 50% of time in the office. Part-time or full-time status is available to fit your needs.
Posting Date: October 21, 2019
We are a purpose-led company that seeks not only to succeed in business, but also to leverage our success and resources to make the world better. Through our brands and nearly 70,000 associates around the world, we power movements of sustainable and active lifestyles for the betterment of people and our planet. We are movement makers. It's who we are and have always been.Powerful brands that are fueled by insights and innovation put us at the heart of our consumers's lives. Many of our brands lead their respective categories, and some have risen to iconic status.
While our company and brands are diverse, we work together within a One VF culture to capitalize on our greatest opportunities for long-term performance. Across our company, a collaborative, global mindset differentiates our products and the unique experiences we provide to our consumers. It all adds up to a lasting competitive advantage built on harnessing the power of our differences to achieve great things together, all while positively impacting the lives of hundreds of millions of people and the world.
Become the Newest Member of the VF FamilyAs the Data Scientist, Retail Analytics at The North Face you and your efforts will provide exceptional leadership in the development and execution of retail analytics to support decision-making across various functions of demand chain- merchandise, assortments planning areas. You are an expert in complex modeling, analytical methodology and have a rich history in excelling in: longitudinal analyses, multi-level modeling, multivariate analyses of variance, hierarchical demand forecasting and more. You will partner with key executives to address information needs and will analyze and synthesize analytics and insights to influence decisions and action planning. This role and your efforts are a key resource needed for business success. Which means, you are a key partner to demand forecasting, assortment optimization, and various other areas to help drive our businesses. Your output and hard work will directly influence our bottom line and data driven decisions.
You have an inherent passion for data and data driven thinking, and can effortlessly extract patterns from volumes of data to drive strategy and operational efficiencies. You can also take that data and tell an easy to understand brand story with actionable items for others.
How You Will Make a Difference:
Support Development of Advanced Analytics practice to develop best in class demand chain- merchandise, assortments planning areas analytics practice for The North Face and drive analytic culture within the brand. Internal Consulting: Perform ongoing analytic projects in support of brand strategies and tactics. Topics will include, but not limited to long term demand forecast, short term replenishment, smart allocation to avoid excess inventory and lost sale opportunities, ROI analysis. Support BI Reporting: In collaboration with wholesale and DTC leadership, support the development of BI dashboarding to highlight KPI across locations and channels. Work will include multi-source data integration and development in BI tool (Cognos, Tableau). Support Process Improvement: Bring industry best practices to analytic processes to create time efficiencies, so team can broaden efforts to other focus areas. Data Infrastructure: In collaboration with infrastructure in IT teams, make recommendations for data architecture Strategy. Tool Assessment: Develop and deploy analytical tools and data science techniques to analyze complex data sets enabling useful forecast solution. Monitor trends in data science and alternative sources to ensure that The North Face is in tune with best in class tools and techniques.
Skills for Success:
Years of Related Professional Experience: 7+ years
Educational/ Position Requirements:
Special Physical and/or Mental Requirements: