Consulting Cloud Architect, OpenShift
Red Hat
Design and deliver Red Hat OpenShift, Kubernetes, and hybrid cloud solutions for enterprise customers. Lead customer engagements focused on infrastructure, automation, and application delivery.
Open
Walmart is a global retail and eCommerce company serving consumers through hypermarkets, discount department stores, grocery locations, and an online marketplace. Its broad product offering is supported by a large physical-store network, direct-to-consumer operations, and the logistics and supply-chain systems needed to keep products moving across the business.
Senior Product Data Analyst in Bangalore
Lead product analytics for Walmart Global Tech in Bangalore by defining metrics, evaluating experiments, and turning complex data into actionable insights for retail decisions.
Description
- Establish product metrics, measurement frameworks, and analytical roadmaps.
- Examine large, complex datasets to reveal patterns, determine root causes, and recommend actions.
- Apply quantitative analysis to assess customer behavior, product performance, and business outcomes.
- Collaborate with product leaders, designers, and engineering managers to assess opportunities and prioritize initiatives.
- Perform analytical deep dives to clarify business problems, opportunities, and next steps.
- Gather, process, and analyze data from multiple sources with SQL, Python, R, and other analytical and statistical tools.
- Design and evaluate A/B tests while strengthening analytical rigor and experimentation practices.
- Create analytical methods and scalable solutions for complex product and business questions.
- Present findings through business reviews, presentations, and executive discussions.
- Represent Product Analytics in stakeholder meetings and business reviews.
- Use AI and generative AI tools to automate workflows and improve analytical productivity.
- Apply analytics to deliver measurable business impact.
- Partner with product, engineering, and business leaders to convert product and business data into actionable insights.
Requirements
- At least 6 years of experience in a high-growth analytics, product analytics, or related data-focused environment.
- Bachelor’s degree in Statistics, Computer Science, Business Administration, or a related field.
- Advanced SQL and Python skills, including independently querying, transforming, and analyzing complex datasets.
- Working knowledge of statistical analysis, experimentation, and common data-interpretation pitfalls.
- Experience with product analytics and product development teams is preferred.
- Strong analytical and problem-solving capabilities.
- Ability to turn ambiguous business questions into structured analytical approaches.
- Excellent written and verbal communication skills.
- Ability to explain complex findings to technical, business, and executive audiences.
- Ability to collaborate across functions and influence decisions through data-driven insights.
- Qualification alternatives include a bachelor’s degree plus 2 years of relevant experience, a master’s degree, or 4 years of relevant experience.
Benefits
- Performance-based incentive awards.
- Maternity and parental leave.
- Paid time off.
- Health benefits.
- Compensation package.
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