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Data Analyst - Los Angeles, CA

Los Angeles, CA, US, 90058

CR Laurence

 


Job ID:  161448


C.R. Laurence Co., Inc. (CRL) is the leading supplier to the glazing, architectural, railing, construction, industrial, and automotive industries. Offering more than 60,000 products, we serve the industry from locations throughout North America, Europe, and Australia.

 

Position Summary


Reporting to the Director of Operational Excellence, we are seeking an entry level Data Analyst responsible for reviewing and/or summarizing data with the goal of extracting meaningful information or developing data-based conclusions for CRL Leadership. The Data Analyst will analyze or provide historical, current, and predictive views of data stored in sales, production or financial databases.  The successful candidate will turn data into information, information into insight and insight into business decisions.

 

Responsibilities

 

  • Interpreting data, analyzing results using statistical techniques
  • Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
  • Partner with the Analytics Architect to develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquiring data from primary or secondary data sources
  • Identifying, analyzing, and interpreting trends or patterns in complex data sets
  • Filtering and “cleaning” data
  • Partnering with leadership to prioritize business and information needs
  • Locating and defining new process improvement opportunities

 

Experience and Qualifications

 

  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics
  • Proven working experience as a data analyst or business data analyst
  • Technical experience regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages, databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (R, Python)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • Superior communication skills and strong attention to detail
  • Collaborative work style, strong professional presence with the ability to work with all levels in the organization
  • Demonstrated ability to work independently in a fast-paced, entrepreneurial environment with a strong desire to roll up your sleeves

 

What CRH Americas Offers You

 

  • Highly competitive base pay
  • Comprehensive medical, dental and disability benefits programs
  • Group retirement savings program
  • Health and wellness programs
  • A culture that values opportunity for growth, development, and internal promotion

 

About CRH Americas

 

CRH Americas has a long and proud heritage as one of North America’s largest corporations. We are a proud reflection of the hundreds of family businesses, local and regional companies and mid to large sized enterprises that together form the CRH Americas family. CRH Americas operates with a decentralized, diversified structure, letting you work in a small company environment while having the career opportunities of a large enterprise.

 

C.R. Laurence Co., a CRH company, is a great place to grow! If you’re up for a rewarding challenge, we invite you to take the first step and apply today! Please complete your online application and profile which will be sent directly to the appropriate Hiring Manager. Thank you for your interest in the CRH family!

 

CRH Americas is an Affirmative Action and Equal Opportunity Employer.

 

 EOE/Vet/Disability--If you want to know more, please click on this link

Nov 6, 2019


Nearest Major Market: Los Angeles

Job Segment: Database, Data Analyst, Developer, SQL, XML, Technology, Data