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Funding50M+ USD
IndustryDatabase, E-commerce, Enterprise, Financial Services, Identity Management
View full company profile
Other Openings

Business Intelligence Data Analyst

at Dun & Bradstreet Credibility Corp. in Malibu, CA   —   Jun 29, 2014   |  
Dun & Bradstreet Credibility Corp. is the leading provider of credit building and credibility solutions for businesses. The Company’s core services enable businesses to establish, monitor and build their business credit and credibility. The Company acquired the assets, previously managed as the Self Awareness Solutions (SAS) business unit, from D&B (NYSE: DNB), the world’s leading and most trusted source of commercial information and insight on business.

• Independent, privately-owned and Founded in August 2010.
• Funded by a top tier private equity firm, Great Hill Partners (; secured $200M in growth-capital.
• Experienced senior executive team ( with a proven track record.
• Rapidly growing company with approximately 500 employees across six offices nationally.
Work with business units (partners) to identify, prioritize, clearly define and document analytical needs, while maintaining perspective on the ultimate KPIs of the company.
Provide reporting, analysis and insightful recommendations to business leaders on key performance metrics pertaining to Sales, Marketing, Business Development and Finance.
Design, develop, validate and maintain SAS BI cubes, information maps (metadata), queries, dashboards and standardized reports.
Assist with administration, oversight and training on SAS platform applications. • Identify and assess impact of proposed product/process/methodology changes to systems from a
reporting & analysis perspective.
2-3+ years of experience in a reporting & analytics role.
Applicable workplace experience with SQL required (SQL Server preferred, but Oracle and MySQL also OK).
Advanced Excel skills.
Familiarity working with extremely large data sets.
Experience with an industry-leading BI tool (SAS, Cognos, Business Objects, MicroStrategy) and web analytics software such as Omniture and/or Google Analytics.
Advanced knowledge of statistical models and forecasting techniques (experience with SASpreferred).
Solid understanding of data modeling, data warehousing and ETL.
Highly analytical and detail oriented with strong written and verbal communication.
Able to work cross-functionally across multiple departments in a fast paced, entrepreneurialenvironment.
Ability to multitask and prioritize assignments effectively, work autonomously.
Takes initiative, knows what needs to be done and executes with a sense of urgency, disciplineand focus.
Capable of identifying issues related to statistical analysis, recommending options and implementing solutions.
BA/BS in Business, Information Systems, Statistics or relevant discipline.
VERY competitive + Bonus + FULL benefits.
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