Principal Statistician

Job Description

Why we are looking for you

Principal Data Analyst is accountable for accurate, on-time delivery of multiple and concurrent statistical deliverables, builds and presents statistically sound models and profiles using current, standard programs and statistically sound techniques, translates clients’ needs into project plans and develops strong working relationships with key people in other departments.

What you will enjoy in this role

Handle all aspects of data modeling processing – includes, but is not limited to the following:

What you will do

Accuracy

Accountable for accurate, on-time delivery of all statistical deliverables Ability to conduct small, medium scale projects and research through all stages: concept formulation, definition of metrics, determination of appropriate statistical methodology, research evaluation, and final research report Independently build and present internally statistically sound models using current, standard programs Apply industry techniques/ideas/trends to current systems Consult/explain complex statistical ideas to internal clients Translate clients’ needs into project plans Able to answer questions about data sets and analyses Able to become familiar and comply with the group’s policies and procedures for programming, project documentation, and system management Able to master the desktop and UNIX tool set (SAS, Python, SAS ODS, Excel, PowerPoint, Word) to create content for evaluating statistical analyses such as tables, reports, graphs, etc. Able to become proficient with the different types of quantitative modeling offerings provided by the Analytical group Work with internal departments to troubleshoot a variety of problems. Effectively explain results of troubleshooting Lead statistical training on standard models to other departments. Employ sound statistical techniques Able to manage to project deadlines Lead Medium - to High-level complex projects Consult with other departments on ways to improve systems Develop strong working relationships with key people in other departments May provide statistical training to stats department Ability to write new SAS code, Python code improve current code, and understand all code being used

On Time Delivery

Keep Onshore updated on the status of all Models in progress Monitor and document progress of job through Jira system Responsible for managing own workload to ensure on time delivery; may require securing help from others at times Work with Account Specialist and Sales to troubleshoot stalled jobs due to incorrect or missing information in a timely manner Deals with ambiguity while maintaining composure and problems solving under tight deadlines Ensure successful completion and publishing of all Model requests

Effective Teams

Builds rapport within team and across department Provides timely information to internal customers providing necessary information to make accurate and quality decisions Before leaving on PTO, arrangements are to be made within team for backup to complete all outstanding jobs; and communication made to AS regarding handoff Assist teammates as needed to ensure the department meets its obligation to internal and external customers

Interfaces / Metrics (if applicable):  

Interfaces include but are not limited to: SAS EG UNIX Python Model Performance Stats Client Services Data Acquisition & Data Performance T&D Meet or exceed expectations in support of department objectives including: Accuracy – Model results On Time Delivery Service Level Agreements are met, and workload is balanced across team Interpersonal Core Competencies - Effective Teams Accountability, Communication and Teamwork Protects Business Integrity Adheres to business best practices, demonstrates integrity, and looks for new opportunities for improving quality Training – Knowledge and Skill Development

Qualifications

Master’s or bachelor’s degree in quantitative discipline (Statistics, Economics, Agriculture science (if studied Economics or statistics as one of subjects) ). 10+ years of total relevant experience as Data Analyst. 5+ years of advanced experience in SAS (Base, Macros, ODS, Access), SQL, or Python/ Pyspark Fundamental knowledge of marketing channels (Email, Direct Mail, Display Ads, social media)  Foundational understanding of marketing analytics using machine learning techniques (Segmentation, A/B Testing, Predictive Modeling) Good experience in visual representation of data, presentation, and storytelling skills. Excellent communication skills and able to build good working relationship with clients Flexibility to work in a virtual environment with stakeholders in US time zones Exhibit technical acumen and possess good learning mindset. Highly motivated and collaborative team player with good interpersonal skills

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