Growth Analyst

Responsibilities

Identify, analyze, and interpret trends or patterns in complex data sets to develop a thorough understanding of users, and acquisition channels.

Run exploratory analysis uncover new areas of opportunity, generate hypotheses, and quickly assess the potential upside of a given opportunity.

Help execute projects to drive insights that lead to growth.

Work closely with marketing, design, product, support, and engineering to anticipate analytics needs and to quantify the impact of existing features, future product changes, and marketing campaigns.

Work with data engineering to develop and implement new analytical tools and improve our underlying data infrastructure. Build tracking plans for new and existing products and work with engineering to ensure proper

Analyze, forecast, and build custom reports to make key performance indicators and insights available to the entire company.

Monitor, optimize, and report on marketing and growth metrics and split-test results. Make recommendations based on analytics and test findings.

Drive optimization and data minded culture inside the company.

Develop frameworks, models, tools, and processes to ensure that analytical insights can be incorporated into all key decision making.

Effectively present and communicate analysis to the company to drive business decisions.

Create a management dashboard including all important KPIs to be tracked on a company and department level

Establish end to end campaign ROI tracking mechanism to attribute sales to specific google and Facebook campaigns

Skills and Experience

Minimum 1-2 years of proven work experience in a data analyst role.

Excellent analytical skills and problem-solving ability; the ability to answer unstructured business questions and work independently to drive projects to conclusion.

Strong analytical skills with the capacity to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

Experience extracting insights using advanced SQL or similar tool to work efficiently at scale. Advanced expertise with commonly used analytics tools including Google Analytics, studio and Excel.

Strong knowledge of statistics, this includes experimental design for optimization, statistical significance, confidence intervals and predictive analytics techniques.

Must be self-directed, organized and detail oriented as well as have the ability to multitask and work effectively in a fast-paced environment.

Active team player, excellent communication skills, positive attitude and good work ethic.