Associate 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 underutilized data sets. 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 with The Nerve.
The Role: In a Nutshell
We are looking for an Associate Data Analyst with an interest in statistics or web/mobile/social analytics to be a part of the analytics team who supports a myriad of analytics intelligence programs which may include marketing, customer intelligence and user experience research. Our work is used to create insight and enable the development of hypotheses and theories on what content behaviors, social connections, and advertising sensitivities drive demand to ultimately predict what customers will do. Ideal candidates will have strong analytical skills and a passion for unlocking the meaning in the data.
What You Will Do
Analyze KPIs to efficiently measure business, improve outcomes and enable close customer relationships
Collect and analyze user behavior through server logs, online experiments (A/B testing), benchmark studies, lab studies, and surveys.
Work with designers, product managers, engineers, and writers to prioritize research opportunities in a fast-paced, rapidly changing environment.
Learn how to incorporate complex technical and business requirements into research.
Learn about data taxonomies and assist the technology teams with implementation, collection and prioritization of data.
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
Aggregate and clean data to prepare for analysis
Learn to use the most popular analytics tools in the market
Support all facets of analytics to influence customer behavior (social media, web/mobile analytics, customer loyalty data, dynamic pricing, risk assessment, credit worthiness, etc.)
What You Will Need
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
Some experience in a mix of the following is a big plus
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)
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