What are the responsibilities and job description for the Product Data Analyst position at S M Software Solutions Inc?
If you find this opportunity aligns with your career goals and interests, we kindly request that you send us your documents to ajandekar@thethinkbeyond.com by 28 Nov. 2025 at your earliest convenience
Job Title: AMPDA236-Product Data Analyst
Client Name: Intuit
Office location: US Remote (PST)
Duration: Full time
his role will collaborate with Product, Engineering, and Business teams to drive data-informed strategies, optimize performance, and improve product functionality. The ideal candidate has strong analytical thinking, proficiency in AI/ML techniques, and the ability to communicate complex data insights to both technical and non-technical stakeholders.
Key Responsibilities
UF6TIGCSpS
Job Title: AMPDA236-Product Data Analyst
Client Name: Intuit
Office location: US Remote (PST)
Duration: Full time
his role will collaborate with Product, Engineering, and Business teams to drive data-informed strategies, optimize performance, and improve product functionality. The ideal candidate has strong analytical thinking, proficiency in AI/ML techniques, and the ability to communicate complex data insights to both technical and non-technical stakeholders.
Key Responsibilities
- Conduct product analytics and user behavior analysis to drive data-backed decisions
- Develop and maintain dashboards, reports, and data visualizations using Qlik Sense, Tableau, or similar tools
- Apply AI/ML models to analyze trends, optimize product performance, and drive automation
- Define and track product success metrics, KPIs, and A/B testing experiments
- Leverage statistical analysis and predictive modeling to identify patterns and trends
- Provide business intelligence insights that impact product growth, customer engagement, and retention
- Collaborate with Product Managers, Data Scientists, and Business Leaders to deliver actionable insights
- Ensure data integrity, consistency, and governance across reporting and analysis efforts
- Stay up to date with emerging AI/ML trends and analytics best practices
- 5-8 years of experience in data analysis, product analytics, and AI/ML-driven insights
- Strong SQL skills for querying and analyzing large datasets (Presto SQL, BigQuery, etc.)
- Proficiency in BI tools such as Qlik Sense, Tableau, Amplitude, or Data Studio
- Python experience for statistical modeling and AI/ML-driven analysis
- Experience in A/B testing, experimental design, and data instrumentation
- Knowledge of predictive modeling, clustering, and classification techniques
- Ability to transform complex data into simple, compelling insights for business stakeholders
- Experience working with large-scale datasets and structuring unstructured data for analysis
- Strong communication skills to present data findings and drive decision-making
- Experience in a scripting language to automate and reuse code (optional but encouraged)
- Prior experience in fintech, e-commerce, SaaS, or AI-driven product analytics
- Familiarity with data-driven decision-making in a product-led organization
- Strong understanding of user segmentation, customer journey analysis, and engagement metrics
- Hands-on experience in prompt engineering to accelerate AI-driven development
UF6TIGCSpS
