Product Manager 3

Please note that this is a contract role providing services to Samsung through external staffing partners of Allegis Global Solutions (AGS). If you are selected for this role, you will be employed by AGS and will not be an employee of Samsung

Summary:

Top Required Skills

• SQL
• Tableau (Power BI/MicroStrategy also preferred)
• Business Analysis
• A/B Testing & Experimentation
• Product Analytics
• Stakeholder Management

Position Summary

We are seeking a data-driven Product Analyst / Digital Product Analytics Manager to support product strategy, personalization initiatives, and digital product optimization through advanced analytics and business insights. This role will partner closely with Product Managers, Engineering, Marketing, and Business stakeholders to measure product performance, identify growth opportunities, drive experimentation, and support product lifecycle decisions.

The ideal candidate combines strong SQL expertise, business analysis skills, and experience leveraging analytics tools to influence product strategy and improve customer experiences.

Key Responsibilities

Product Analytics & Performance Management

• Track, analyze, and identify underlying drivers of product KPIs and business metrics.
• Synthesize findings into actionable recommendations and communicate insights to stakeholders.
• Monitor digital product performance and identify opportunities for optimization and growth.
• Evaluate the impact of product changes, feature releases, and business initiatives.
• Support strategic decision-making through data-driven analysis.

Experimentation & A/B Testing

• Manage and execute A/B testing strategies across digital products.
• Monitor experiment performance and analyze test results.
• Partner with Product Managers to translate findings into product decisions and roadmap priorities.
• Recommend enhancements based on customer behavior, experimentation outcomes, and business objectives.

Business Analysis & Strategic Insights

• Conduct ad hoc analysis and research to support personalization initiatives, product launches, and strategic business priorities.
• Develop business cases and identify opportunities for revenue growth, customer engagement, and operational improvements.
• Analyze customer behavior, digital engagement, and transaction data to uncover trends and opportunities.
• Present findings to stakeholders at operational, management, and executive levels.

Product Development Support

• Collaborate with Product Managers to define requirements and support roadmap execution.
• Assist in developing user stories, acceptance criteria, and testing activities.
• Support product lifecycle management from product discovery through launch and optimization.
• Ensure product decisions align with business goals and customer needs.

Data Management & Infrastructure

• Develop, manage, and maintain product data pipelines and reporting infrastructure.
• Ensure accuracy, reliability, and accessibility of product data.
• Work with structured and unstructured data from web, mobile, and transaction systems.
• Support data governance initiatives and metadata management practices.
• Assist in identifying and resolving data quality issues across multiple data sources.

Cross-Functional Collaboration

• Partner with Product, Engineering, Marketing, Analytics, and Business teams to develop data-driven solutions.
• Build strong relationships across departments to support successful product outcomes.
• Collaborate on API-related initiatives and integration projects.
• Support go-to-market activities through analytics, measurement, and reporting.

Reporting & Visualization

• Build and maintain dashboards and reporting solutions using Tableau, Power BI, MicroStrategy, or similar visualization platforms.
• Develop executive-level reporting that communicates key trends, performance metrics, and business opportunities.
• Create scalable analytical frameworks for ongoing product monitoring and decision-making.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Analytics, Business, or a related field.
• 3-6 years of experience in Product Analytics, Business Analysis, Data Analytics, or Digital Product environments.
• Advanced SQL skills with strong database design and querying knowledge.
• Hands-on experience with Tableau, Power BI, MicroStrategy, or similar data visualization tools.
• Experience with web analytics and measurement platforms such as Google Analytics, Adobe Analytics, or comparable analytics solutions.
• Strong business analysis skills with the ability to translate data into actionable recommendations.
• Experience supporting A/B testing, experimentation, and product optimization initiatives.
• Strong communication and presentation skills with the ability to influence stakeholders at all organizational levels.
• Experience working with cross-functional teams in product-driven environments.
• Strong problem-solving, critical-thinking, and analytical capabilities.
• Ability to manage multiple priorities and work independently with minimal supervision.
• Strong project management and organizational skills.

Preferred Qualifications

• Experience working with digital products, eCommerce platforms, or customer-facing applications.
• Experience analyzing web, mobile application, and transaction-level data.
• Familiarity with product management methodologies and agile development processes.
• Exposure to API integrations and technical product development concepts.
• Knowledge of metadata management, data governance, and data quality frameworks.
• MBA or advanced degree preferred.

Success Factors

• Strong SQL and analytical problem-solving capabilities.
• Ability to uncover actionable business insights from complex datasets.
• Expertise in building dashboards and visualizations that drive decision-making.
• Strong business acumen and stakeholder management skills.
• Ability to bridge technical data analysis with product strategy and business goals.
• Proven success supporting product teams through experimentation, measurement, and continuous optimization.

Additional Details:

• Location: 645 Clyde Avenue, Mountain View, CA, USA
• Duration: 12 Months 
• Pay Range*: $67 - $70/hr 
• Weekly Schedule: 40 hours
• Job Status: Non-Exempt
• Application Deadline:

This role is eligible for the following benefits:

• Medical, dental & vision
• Hospital plans
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available (USA)
• Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
• Company paid short and long-term disability
• Health & Dependent Care Spending Accounts (HSA & DCFSA)
• Employee Assistance Program
• Time Off/Leave(PTO, Allegis Group Paid Family Leave, Parental Leave

Benefits are subject to change and may be subject to specific elections, plan, or program terms.

Existing Vacancy: This posting is for an available position

AGS is an Equal Opportunity Employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you require a reasonable accommodation related to the application or interview process due to a disability, please email accommodation@allegisglobalsolutions.com. This inbox is monitored solely for accommodation requests. For questions about open roles or to apply, please submit your application through the job posting, as this inbox is not monitored by recruiters and applications sent here will not be reviewed.

In accordance with the Immigration Reform and Control Act of 1986, employment is contingent upon verification of identity and authorization to work in the United States. All persons hired will be required to complete Form I-9 and provide acceptable documentation as required by law.

Please note that we may use artificial intelligence (AI) tools to screen, assess, or select applicants for this position. These tools may analyze application materials and assist our team in identifying candidates whose qualifications best match the requirements of the role. If you have questions about our use of AI in the hiring process, or would like more information, please contact us.

*We reserve the right to pay above or below the posted wage based on factors unrelated to protected classifications.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

San Francisco Candidates only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

City of Los Angeles Candidates only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring.