Title : Product Data Analyst

Location : 100% Remote

Duration : 12 months contract (high possibility of extension)

W2 Contract Only

Job Description :

This Product Data Analyst role is embedded within the notification team and drives impact end-to-end through the product development life cycle. The role requires using a mix of skills including analysis, creative product ideation, and cross-functional collaboration. Success in the role is tied directly to product goals and the team rewards results-based performance.

Product team is at the forefront of the industry, lean and highly regarded team with a strong and close-knit culture and emphasis on regular sharing of successful strategies, tactics and insights across products. Our team values are to own the outcome, focus on driving sustainable impact, and put team success first. There is a great opportunity to be a leader and influence the direction of high-visibility and high-impact initiatives, and to see your work come to life in one of the most widely used app in the world.

Responsibilities:

Drive long-term growth of client's products through a combination of data analysis, product ideation, and experimentation to optimize product experiences

Use data to understand trends in user behavior and product usage to influence strategy

Identify opportunities to drive growth and prioritize them to maximize long term growth

Execute on projects by working closely with engineering, product management, data science and other members of product teams to land impact on product goals. Lead experimentation from designing tests to analyzing results in order to make launch decisions

Skills:

Expert level skills with data querying languages (e.g. SQL) (Must)

3+ years experience working in an analytical or product role

Proven to effectively collaborate across variety of technical and non-technical functions to drive towards common product goals

Experience working with and influencing multi disciplinary product teams consisting but not limited to software engineers, designers, product managers and data scientists

Proficiency in quantitative analysis geared towards drawing actionable insights from complex datasets

Experience performing exploratory analysis with minimal direction to answer ambiguous open ended questions