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:
#J-18808-Ljbffr