Senior Technical Product Manager
MarginEdge
SQL
Customer Business Analyst
Personetics
full-time
Posted on:
Origin: • 🇺🇸 United States • New York
Visit company websiteSalary
💰 $90,000 - $115,000 per year
Job Level
Mid-LevelSenior
Tech Stack
SQL
About the role
- Serve as the primary contact for a portfolio of financial institutions throughout the entire implementation lifecycle.
- Lead client onboarding and provide strategic guidance, including on-site workshops, ensuring a comprehensive understanding and effective use of Personetics’ solutions.
- Conduct detailed data analysis, including data mapping and integration processes, validating insights, and driving data remediation processes.
- Perform performance monitoring and statistical analysis to optimize and enhance product usage, client satisfaction, and overall effectiveness of deployed solutions.
- Respond to Business and Functional requirement requests.
- Design and write functional specs for customer requirements.
- Support the implementation team during user acceptance test.
- Work closely with business and technology units.
- Research, analyze and organize big data from both technical and business perspective.
- Analyze, specify, and validate new business requirements and participate in new product designs.
Requirements
- 3-6 years of experience as a Business Analyst / Functional Architect or a similar customer-facing role, preferably within Fintech or Banking technology sectors.
- Bachelor of Science Degree (BS) in Industrial Engineering, Information systems or similar.
- Customer facing experience (proven ability to lead sessions).
- Hands on experience in SQL.
- Experience with Data Mining/designing analytical models.
- Statistics/data modeling/analytical background.
- Experience writing detailed specifications.
- Team oriented and yet able to work independently.
- Strong written and verbal communication skills are essential.
- Able to thrive in a fast paced environment and learn quickly.
- Ability to work in a hybrid setup from our New York office.
- Nice to have: Financial services experience (banking, Credit Cards or insurance).
- Nice to have: Familiarity with modern AI tools and platforms.
