Digital Marketing Data Analyst  

Who you are:

You have a passion for what you do and would like your work to make a difference. You feel energized by the prospect of ‘building things’ using data to solve real world problems and to tell an inspiring and impactful story. You are seeking a role that allows you to be the leading authority on driving an organization’s thinking on creating a data-driven culture, and bringing out insights from client data. You love the power of metrics and tracking user behaviors, and relish the opportunity to test personal intuitions. You enjoy teaching others how real empirical results improve a product and strategize for the future.

You’d also like to join a team where the culture is extremely entrepreneurial and innovative. If you thrive in a dynamic, fast-paced and team-oriented environment, you’ll feel right at home at BughawDigital.

The Role: In a Nutshell

We are looking for a Digital Analyst with a background in statistics or web/mobile analytics to be a part of the analytics team who supports a myriad of our client’s customer intelligence programs which may include marketing, customer service, and ecommerce. Our work is used to create insight and enable the development of hypotheses and theories on what behaviors, social connections, and price sensitivities drive demand to ultimately predict what customers will do. We are currently leading the way by using big data techniques to deepen the digital analytics capability. Ideal candidates will have strong analytical skills and a passion for educating people on the meaning of data.

What You Will Do:

• Analyze and advance the framework of our clients’ measurement strategies to efficiently measure their business, improve outcomes and enable close customer relationships
• Go beneath the surface of data reporting to find the questions at it heart and distill them into a very clear set of hypotheses that can be tested.
• Assist the technology teams with implementation, collection and prioritization of data. Deeply understands the data taxonomies.
• Design experiments to drive A/B and multivariate testing models that use statistics to predict the outcome of future product changes
• Create digital reporting capabilities that visualize measurement strategies elegantly and succinctly
• Assist the business users with interpreting results and understanding business implications
• Aggregate data and prepare clear, concise recommendations to shape customer behavior/transaction influence
• Conduct project based research or modeling to dive for deeper understanding of customer cohorts
• Support all facets of analytics to influence customer behavior (social media, web/mobile analytics, customer loyalty data, dynamic pricing, risk assessment, credit worthiness, etc.)

• Bachelor’s degree in computer science, math, economics or related degree OR 1+ year experience with strong data and computational focus in the fields of web analytics, customer loyalty, product/merchandise management, social media, behavioral sciences.
• Intellectual curiosity with willingness and desire to learn a new environment and tools to advance your own knowledge and our analytics practice
• Exhibit a high level of expertise working with multiple data sources/reports to analyze performance and make recommendations
• Data savvy with some experience in a mix of the following:
  • Document Databases: NoSQL, Mongo DB with strong SQL experience
  • Statistical Tools: SPSS, SAS, Matlab
  • Data Visualization Tools: Tableau, Qlikview, Domo, Excel
  • Social Media Listening Tools: CrimsonHexagon, Senti, Isentia
  • Web/Mobile Analytics Tools: Google Analytics, Adobe, Tag Manager, Firebase
• Some knowledge of statistical methods, regressions, predictive modeling methods

• Soft Skills Needed for Success:

• Strong communication in English and Tagalog, (verbal/written/presentation), and listening skills who can present complex information in a clear and compelling manner.
• Exhibit effective time management and organizational skills. Billable time experience a plus.
• Comfortable in very fast-paced environment with strong bias towards action to achieve results
• High growth companies and/or start-up experience a plus