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Senior Data Analyst/Statistician

  • Job Tracking ID: 512842-615329
  • Job Location: Salem, OR
  • Job Level: Any
  • Level of Education: Any
  • Job Type: Full-Time/Regular
  • Date Updated: April 06, 2018
  • Years of Experience: 5 - 7 Years
  • Starting Date: ASAP



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Job Description:

Summary

The Senior Data Analyst/Statistician (SDAS) works collaboratively within the Business Intelligence team and is a business partner to all other departments within the organization. The SDAS will create data reports, data visualizations, forecasts, and do analysis on all aspects of the business. To be successful, you must have strong hands-on skills around data analysis, statistical analysis, and reporting/visualization.


Duties and Responsibilities

  • Use statistical methods to analyze data and formulate insight into the business.
  • Translate business requirements and technical designs into well-developed solutions that meet business data and KPI goals.
  • Work in multi-disciplined team where you will turn ideas into data-driven strategy and decision making across the company.
  • Mentor team members and assist in cross-training.
  • Create and maintain database and process documentation.

Experience and Skills:

Knowledge, Skills and Abilities Required

  • At least 5 years’ professional experience in data-based analysis showing strong analytical, statistical, critical thinking, and problem-solving skills.
  • Strong experience around data analysis, data profiling, and data cleansing techniques.
  • Advanced experience with R, Python or similar statistical analysis software and applicable statistical packages.
  • Experience with relational and non-relational databases.
  • Proficiency with SQL Server.
  • Ability to overcome roadblocks, identify root causes, and recommend solutions.

Knowledge, Skills and Abilities Preferred

  • Bachelor’s Degree in Mathematics, Statistics, Data Analytics, Econometrics, or related field.
  • Experience with AWS and/or Azure based analytics products.
  • Experience in machine learning algorithms and tools to implement them.
  • Exposure to big data tools such as Hive, Pig, Spark and cloud based big data solutions.
  • Advanced level of SQL Skills
  • Extensive ETL experience.

Conditions of Employment

Successful applicant must submit to post-offer, pre-employment background check.

 

Working Conditions

  • Work is normally performed in a typical office environment.
  • No or very limited exposure to physical risk.