Redolent is Hiring a Senior Analyst (BI & Analytics) Near San Bruno, CA
We are urgently looking for Senior Analyst (BI & Analytics) for our Direct client requirement TITLE: Senior Analyst (BI & Analytics) LOCATION: San Bruno, CA DURATION: 6 months Rate: DOE Job Description: What We're Looking For
Leads Strategy, Reporting, Management of Inventory, Pricing, & Yield working in collaboration with cross-functional teams in Sales and Operations. Great communication skills and ability to work with cross-functional teams, including both business and technical stakeholders.
Drive analyses to improve technical and quantitative understanding of advertising & merchandising across Walmart digital properties. Excellent analytical skills; excellent at handling large and complex data sets
Aggregate Web, Ads, & eCommerce Analytics retrieved through automation via raw data logs and communicate summary to leadership in near real-time environment.
A/B Test: Test variations on messaging or features. Measure effectiveness of recommendations and perform analytical deep-dives to resolve problems or identify opportunities.
Work cross-functionally with sales, product, product marketing, and engineering on optimization opportunities and insights
Provide insights with the goal of increasing growth, driving advertiser & user engagement to see beyond the numbers to drive the advertising business.
Make recommendations and help guide product and business decisions based on marketplace analyses and an understanding of network dynamics and long-term strategy.
Minimum Requirements
5 years of quantitative or statistical analysis experience
Bachelor's degree in an analytical field (such as Computer Science, Engineering, Mathematics, Statistics, or Economics, or Finance)
Demonstrated problem solving with experience providing business insights from large data sets
Experience with data manipulation utilizing Hive and/or SQL data visualization like Tableau), and statistical analysis, either R or Python.
Interpret data, analyze results using statistical techniques and provide ongoing reports
Must be able to work effectively both on teams as well as be Self-motivated, task oriented and organized.
Ability to learn and adapt quickly in a dynamic environment.
Ability to work with deadlines and in a fast paced environment.
Preferred Qualifications
Prefer a background in Marketing, Advertising, Merchandizing, and/or Retail
Experience managing multiple concurrent projects and driving initiatives in a cross-functional environment
Exceptional collaboration & leadership skills. Comfort working with and managing sizable teams in fast paced environment.
Ability to learn and adapt quickly in a dynamic environment
Programming/scripting experience a must (SQL, R, Python)
Experience in data engineering and building large scale data infrastructure using Hadoop, Teradata, Scala, a big plus along with data visualization (e.g. Domo, Looker, Thoughtspot, Tableau)
Deep expertise in advertising platforms and/or the ad tech industry preferred, such as DFP and front-end sales systems such as Salesforce. Experience with publisher digital yield tools is a plus.
Web and marketing analytics skills (e.g, Adobe Analytics, Google Analytics) are preferred