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Senior Manager, Consumer Product Analytics REC New York City rec

Company:
ESR Healthcare
Location:
New York, NY
Posted:
April 06, 2021

Posted By Premium Recruiter

Description:

Senior Manager, Consumer Product Analytics REC New York City rec

Fees

21% of Salary

My fee % [?]

50.0%

Positions

1

Type

Full Time

Salary

$1 - $150,000/year

My new applicants

0

My candidates

submitted

0

Total invited candidates

0

Total active candidates

0

Recruiters engaged

N/A

Industry

Food / Beverages

Category

Product Development

Education

Bachelor's Degree

Experience

10-14 years

Travel

Never

Relocation assistance

No - Will consider candidates that relocate on their own

Work eligibility

Green Card,US Citizen

Job description

Role Overview

We’re a data-driven team that deeply values our customers. As a Senior Manager, Product Analytics, you will partner directly with the Consumer App team to drive the entire consumer product data set and reporting activities, bringing rich insights and analysis about our customers and their behavior on the app to the forefront. This role will report into the Director of Customer Insights & Analytics.

What will you do?

Manage the consumer app data plan, ensuring all event needs are captured, logged, and implemented with completeness and accuracy; QA the implementation of all new product analytics events.

Partner with key stakeholders to develop a deep understanding of the business strategy, business goals, our products, and critical business questions to answer.

Help define a best-in-class data architecture that powers a single view of our customer, including documentation, structure, organization, and processes to ensure that complex data points across our activities come together to power a unified customer view.

Conduct ongoing and ad-hoc analysis of customer behavior across touchpoints, both at a high level as well as at a granular level, turning them into actionable insights that inform growth of our business. Analyses may include app/product analytics, app optimization, and testing, and trend analysis.

Lead the consumer app A/B testing platform tool selection process and drive implementation of the tool.

Create and maintain domain-specific analytics dashboards while enabling teams to access data and conduct self-service analysis on a daily basis; This includes owning the measures and dimensions exposed to dashboard users, requesting code reviews from the central data team for these dashboards, and setting up training sessions for business users.

Serve as day-to-day consumer product analytics partner to senior management and the customer teams, using excellent communication and strong presentation skills to gather business requirements and share back analysis in a way that is clear and actionable for employees at all levels.

What are you like?

Experience working with an engineering team to implement scalable data architecture and individual events including defining requirements and QAing implemented events.

Highly proficient in SQL, working with structured and unstructured data sets, with the ability to write complex queries against new or unfamiliar data sets.

Highly proficient working with data visualization tools and manipulating data sets in Looker and/or Amplitude and other platforms to report on custom metrics.

Experience building, implementing, and maintaining data processes and a product analytics roadmap.

Operational experience with a modern tech stack, including customer data platforms (such as mParticle or Segment), communication platforms (such as Braze or Iterable), deeplinking / attribution tools (such as Branch or AppsFlyer), and data visualization tools (such as Amplitude or Google Analytics).

Experience in implementing A/B testing software and leveraging the same to measure the impact of new features.

Experience using Python or R for data analysis a plus.

Experience working with consumer technology, preferably with eCommerce.

Experience working with a mobile app a strong plus.

Comfortable working with cross-functional teams in a fast-paced environment.

Comfortable with being scrappy and in an agile environment.

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