The Digital Product Analytics Manager will demonstrate a mastery of the tools and understand the business needs for their focus domain area. This role will provide strategic and technical direction for area of expertise and whose tasks will include but not limited to: analyzing trends, defining KPIs and methodology, designing experiments, working to help answer key business questions to help make decisions. This will have a focus on the new products and designing the process from start to finish. The incumbent must be hands-on, results driven, and be able to articulate insights with the stakeholders that they partner with. They will ensure the business understands the effects of a new product/process. The role includes cooperation and coordination with various functions and leaders within the company and requires excellent communication skills. The incumbent may be required to guide other junior analysts.

Primary Responsibilities

Evolve and accelerate measurement practices, including novel test designs that ensure incremental learnings and modern sampling procedures to streamline results generation.
Use data to analyze and evaluate, transform data and insights into business recommendations, communicate learnings and recommendations to various audiences of all levels.
Lead by example to build a culture of accountability and rigor to substantiate proven business impact; provide guidance to other analysts on the team.
Support the build-out of performance reporting dashboards that scales with our global business.
Work through tracking and data integrity issues with cross functional stakeholders in Engineering and Product teams.
Bring clarity to KPIs, performance drivers, and competitive trends.

Qualifications

Education

Bachelor’s Degree in Engineering, Math, Computer Science, Operations Research, Statistics and other related degrees.

Experience

6+ years of experience or relevant work experience in analytics, finance, or consulting roles.
Experience using tools such as SQL to assess datasets and recommend solutions.

Essential Skills

Strong technical and quantitative background with outstanding analytical skills and the ability to synthesize situations for corresponding solutions, options and action plans to impact efficiency, and improvements to the business.
In-depth knowledge in using tools needed for their focus domain area (examples: SQL, Python, R, etc).
Ability to establish strong partnerships within different levels in the organization while adjusting communication as necessary to the specified audience.
Data analysis, interpretation and the presentation of credible, business-focused recommendations.
Ability to take initiative and manage deadlines and handle multiple priorities simultaneously with minimal supervision.
Ability to work with engineering teams and define tracking requirements.
Exposure to applied statistics.
Strong visualization skills.
Advanced Excel knowledge.
Excellent problem-solving skills.
Experience using BiqQuery, Google Cloud Platform a plus.

Anticipated Base Pay: $137,200 - $150,920 (Performance Bonus Target available for this role)

Day 1 Benefits to include:

Customizable health plan-PPO/High Deductible Plan with Employer HSA Contribution

20 Days of Accrued PTO

13 Paid Holidays

2 Community Service Days

401k with Employer Match

Parental Leave

Employee Assistance Program

Tuition Reimbursement

Money Transfer Reimbursement

Pet Insurance options

The salary/pay rate listed is a good faith determination that may be offered to a successful applicant for this position at the time of this job advertisement based on company hiring process and budget for this role and may be modified in the future. Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

#HTFUS

#LI-ME1

#REMOTE

Primary Location: United States of America-Texas-Dallas

Work Locations: VIRTUAL EMPLOYEES

Job: Data Operations

Organization: Data Strategy & Analytics

: Full-time

Travel: No

Job Posting: Feb 8, 2024, 11:58:23 AM

MoneyGram jobs

Digital Product Analytics Manager- 23010701