|Location:||Santa Clara, CA|
|Salary Range:||Up to $68/hr|
|Employment Type:||Full Time|
The Consultant Analyst/Programmer of the Marketing Science Lab will be a part of a larger Big Data analytic community but report directly into the Director of Marketing Sciences. This position will partner with the marketing leadership team, the Global Campaign Teams, Field Marketing, Sales, CMO and Digital Marketing/Ops to understand business opportunities, problems, and trend variance to identify analytic assignments to deliver actionable insight. In an analytic capacity, this position will leverage data from a variety of Big Data, social and traditional platforms to deliver actionable insight for business decision making and monitoring. The primary focus for this analyst will be to leverage advanced data manipulation and business analytics skills to integrate and mine disparate datasets from within our Greenplum Big Data environment to support theater field marketing strategic marketing and demand generation programs, in partnership with the Principal Data Scientist.
|Duties:||Technical/Functional Qualifications: |
The candidate must be passionate about learning new platforms to access data, be exceptionally inquisitive to explore trends and have the technical ability to combine data for ad hoc analysis. Although not required, interest in learning about more advanced statistical methodologies is a plus.
|Qualifications:|| Bachelor or MS in economics, statistics, marketing or a related field with a strong interest in the application of business statistics for marketing, media and demand generation optimization. |
3-5 years experience working in BtB CRM environments (client and service side) across marketing and sales. Keen understanding of how business processes curate data and to navigate through data using a variety of tools, including PostreSQL, SAS, Tableau and/or Python/PERL.
Experience and/or awareness web analytics and user behavior trends.
Excellent ability to use data manipulation to transform and mine large datasets using Big Data environments with distributed file systems and massively parallel processing capabilities.
Ability to synthesize findings with executive ready presentations of findings and recommended outcomes
Discplined approach to identify key performance indicators that may not currently exist in the business, especially around community and social, and report out on a regular cadence ability to construct KPI dashboards using Tableau or Business Objects.
Brings a highly creative approach to quantitative analysis and problem solving and is able to comfortably think outside the traditional methodologies to analyze data and render findings
Comfortable with the integration of external third party data sources (e.g., market research, demographic, macro-economic data) with internal transactional data to model and understanding consumer behavior and their response to marketing exposure.
Proven ability to communicate, both written and oral, effectively with individuals from various aspects of business, from Senior Executives to line level employees and external business partners.
The candidate should be able to clearly synthesize and communicate technical analytical results to increase our business partners understanding of the findings and their confidence in our capabilities.
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