You are viewing a preview of this job. Log in or register to view more details about this job.

Data Analyst

A fast-growing eCommerce company in Mountain View, CA is seeking a Data Analyst to leverage data-driven insights and help shape the companyโ€™s business strategy. Youโ€™ll work closely with senior leaders, product managers, engineers, and other stakeholders to uncover opportunities, drive innovation, and influence decisions that make a real impact. This role follows a hybrid work model with 3-4 days onsite and the rest remote.

Role:

๐Ÿ“Š Partner with senior leaders to align business objectives with data-driven strategies.

๐Ÿ” Lead analytical initiatives to uncover insights and provide actionable recommendations.

๐Ÿค Collaborate with cross-functional teams to build consensus and influence decision-making.

๐Ÿ“ˆ Develop data models, dashboards, experiments, and visualizations to support company-wide insights.

๐Ÿš€ Promote a data-driven culture by sharing best practices and mentoring teams.

๐Ÿง  Stay updated on the latest analytics tools and methodologies to drive innovation.

Requirements:

๐ŸŽ“ Bachelorโ€™s degree in Computer Science, Mathematics, Statistics, Operations Research, or related field (Masterโ€™s preferred).

๐Ÿ’ผ 1+ years of experience in data analytics, data science, or data engineering.

๐Ÿ—„๏ธ Strong SQL skills with proficiency in relational database modeling.

๐Ÿ Python experience is a plus.

๐Ÿ“Š Hands-on experience with visualization and reporting tools such as Looker.

๐Ÿ—ฃ๏ธ Excellent communication skills to present complex analyses to both technical and non-technical audiences.

๐Ÿค Proven success collaborating with teams across marketing, product, engineering, and finance.

Benefits:

๐Ÿ’ต Competitive salary: $75,000 โ€“ $95,000/year

๐Ÿก Hybrid work environment for better work-life balance.

๐Ÿฅ Comprehensive health, dental, and vision insurance.

๐Ÿ“ˆ Professional growth opportunities and mentorship programs.

๐ŸŽ‰ Inclusive and collaborative workplace culture.

Skills:
Data Analytics, Data Visualization, SQL, Looker, Python, Dashboards, Data Modeling, Reporting, Data Architecture, Experiments, Business Insights, Stakeholder Management, Data-Driven Strategy, BI Tools