Overview
Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs.
Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance.
Responsibilities
- Collaborate with Marketing to identify, prioritize and execute analytical work that enables a deep understanding of customer behavior.
- Develop customer insights through leveraging customer database and other information systems.
- Design and execute analyses to determine the customer impact of various business decisions and / or marketing campaigns.
- Collaborate with business teams on ad-hoc analyses that uncover root cause of recent business trends.
- Serve as the subject matter expert on customer data within Marketing.
- Create and deliver insightful presentations that summarize complex analyses and inform business decisions.
Qualifications
3+ years of progressive experience mining large complex data sets, using a variety of advanced quantitative / modelling techniques in a corporate marketing discipline.Experience in SQL and / or SAS with working knowledge of methodologies used for advanced analytics required.Experience with Cognos, Qlickview, Tableau or other similar business intelligence and visualization tools.Very strong Microsoft Excel (including pivot tables, graphics) and Powerpoint skills required.Ability to program in newer emerging languages such as R and Python; working knowledge of Hadoop and other big data technologies highly desired.Additional Information
To learn more about this position, please contact :
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