Xneeti - Product Analyst

Description : About XNeetione OS :

XNeetione OS is building the operating system that powers Amazon businesses bringing together AI, automation, and analytics to create a connected ecosystem for brand owners and account managers.

Our platform synchronizes every aspect of an Amazon business from product listings, ads, inventory, and reviews to payouts and profitability enabling decision-making thats faster, smarter, and truly data-driven.

Were looking for a Product Analyst who thrives at the intersection of data, business, and product, and has a strong eye for data sanity, detail, and quality assurance.

Role Overview :

The Product Analyst will partner with Product, Engineering, and Business teams to translate raw data into actionable insights that enhance product performance, guide roadmap priorities, and ensure the accuracy and integrity of the data that fuels XNeetione OS.

This role combines data analysis, business acumen, and QA mindset ensuring that every metric, dashboard, and insight stands up to the highest standard of accuracy and reliability.

Key Responsibilities :

• Partner with Product Managers and Business Leaders to define KPIs and success metrics across the OS.
• Write complex SQL queries to extract, analyze, and validate data from multiple systems and databases.
• Develop intuitive dashboards and reports (Metabase, Power BI, Looker, or Tableau) to visualize trends and product performance.
• Conduct deep-dives to identify growth opportunities, adoption patterns, and behavioral insights across users and product features.
• Ensure data accuracy and integrity across pipelines proactively validate data through QA checks, reconciliation, and anomaly detection.
• Perform data sanity tests before dashboard releases or product launches to confirm consistency between sources.
• Collaborate with Engineering to improve data models, schema design, and ETL logic for more reliable analytics.
• Work with non-SQL and semi-structured data sources for comprehensive insight generation.
• Support A / B testing, feature impact analysis, and post-launch performance tracking.
• Identify and document data bugs or inconsistencies, raising tickets and following through to resolution.
• Translate analytical findings into clear, business-focused recommendations that drive product and operational decisions.
• Present findings, QA results, and product performance summaries to leadership and cross-functional teams.

Requirements :

Bonus :

What We Value :

(ref : hirist.tech)