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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.
Required Skills & Qualifications
- 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).
Preferred Qualifications
- 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.
What We Do
SMSS Inc. is the best solution company specialized in providing Information Technology and Management Consulting. We provide value for money to our clients by delivering the best quality technical services and solutions at reasonable rates. We also provide the best working environment for our staff and consultants. It is a growing IT services provider having wide array of solutions from Business Strategy Analysis to implementation and execution of Information Technology as well as management aspects of a business entity.
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