Position title: Data Analyst
Reports to: SEO and Data Analyst
This position analyzes content demand and customer behavior to guide Marketing and Production teams. Transform data into valuable information to the company. Design and build detailed SEO/PPC/SEM strategy reports to assist the company in making informed business decisions.
Interpret data, analyze results using statistical techniques and provide ongoing reports to Content Demand and Product Management.
Design and definition of databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
Identify, analyze, and interpret trends or patterns in complex data sets.
Segment, model and understand customer behavior.
Design data structures used for statistical modeling.
Establish scalable, efficient, automated processes for model development, validation and implementation.
Development and implementation of Tableau, Google Data Studio, Google Cloud, SQL Database creation/Modification solutions.
Provide insights around SEO, site search and filtering best practices.
Translate Business requirements into detailed specifications for products.
Create, manage, and optimize PPC campaigns aligned to our business' objectives.
Apply risk analysis methods to evaluate business decisions.
Support other Teams:
Work with Marketing, Content Demand and Product Management teams on multiple deliverables under a tight deadline and report out in a timely manner.
Collaborate efficiently with Content Management, Product Management, Operations and Developers for ongoing product improvements.
Work with other teams to solve complex problems that require statistical analysis.
Work with management to prioritize business and information needs.
Seek for improvement opportunities:
Research opportunities for data acquisition and new uses for existing data.
Identify opportunities where statistical techniques can be applied to improve products or processes.
Identifies and remediates issues through to root cause analysis.
Locate and define new process improvement opportunities.
Requirements and Qualifications
3+ years of experience with statistical analysis, applying predictive modeling.
3+ years of experience with data querying languages (e.g. SQL), and statistical/mathematical software (e.g. R, SAS, Matlab).
Experience with statistical modeling.
Deep understanding and use of Google Analytics and Google Tag Manager.
Understanding of various digital marketing channels and corresponding KPI’s (SEO, SEM).
In-depth knowledge of keyword research and competitor analysis.
Expert in with Relational Databases Systems, Excel, and SQL.
Excellent written and spoken English.
Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
Great teamwork skills.
Strong attention to detail.
Strong analytical skills, with a high degree of proficiency in data retrieval/manipulation.
Ability to work with ambiguity and to synthesize complex data and draw business insights.
Not required but preferred:
Programing language knowledge (Python, R, and SAS).