Business Data Analyst(12382)

Location: Vancouver, BC, Canada
Date Posted: 25-09-2018
Our Client is looking for Data Analyst with the following requirements:

• Translate business requirements into data specifications
• Locate, interpret, and integrate new sources of standard and nonstandard data to support ad-hoc analysis
• Write SQL/SAS scripts/code/automation for data extraction and reporting
• Identify and analyze the root causes of performance breakdowns and/or inefficiencies and recommend solutions
• Visualize data using tools such as Tableau and DOMO
• Present analysis results and recommendations to cross functional teams, including both technical and Marketing teams
• Mentor and provide guidance to team members on technical issues and best practices

Qualifications
• Strong business acumen and problem solving skills
• 10+ years working experience in a market/business intelligence, database marketing and data warehousing environment
• Intermediate to advanced working knowledge of SAS, SQL, Tableau, DOMO and Excel
• Fundamental UNIX knowledge, automation, SFTP, and server administration
• Sound knowledge of customer analytics, data warehousing, predictive modeling, market segmentation and analysis
• Keen ability to bridge high level strategic marketing concepts into detailed data representation
• Superior communication skills for both technical and non-technical audiences
• Able to effectively engage stakeholders to establish cross functional alignment for projects
• Takes ownership, initiates improvements, and is self-directed
• Experienced at resolving ambiguity and adapting to rapid change
• Detail oriented; ability to regulate level of analysis precision to the business decisions at hand
• Excellent time management, project management and organizational skills

Great to have’s …
• Good understanding of our client FFH and Mobility billing systems (especially FIFA) and analytics databases desired
• Familiarity with the structure of our client FFH products and services
• Experience with running Marketing Campaigns
• Experience with Big Data including Splunk and Hadoop
• Sqoop, Oozie & Spark experience
• Java/Python knowledge
• Experience integrating with cloud-based systems and solutions
• Post-Secondary degree or diploma in computer science, information systems or equivalent experience


 
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