Data Analyst II - E2E Visibility

About the Role

Key Responsibilities

• Demonstrates knowledge of industry and environmental factors and business practices across domains (e.g., product, finance, marketing, sales, technology, HR).
• Translates ambiguous business needs into structured, actionable documentation and data-backed definitions.
• Supports the development of business cases and recommendations by evaluating the value chain and identifying high-impact automation opportunities.
• Quickly acquires domain knowledge to lead requirements capture, develop BRDs, inform prioritization, and evaluate deliverables.
• Understands business data requirements and selects appropriate tools - including advanced SQL, Python, Power BI, Tableau, and emerging platforms - for analysis and visualization.
• Identifies and integrates suitable data sources while maintaining strong data quality awareness.
• Ensures compliance with data governance policies and performs necessary data cleansing activities.
• Designs and delivers customer-focused visualizations that effectively communicate insights.
• Presents findings clearly to influence stakeholders and support data-driven decision-making.
• Applies analytics and automation techniques to address business problems with a clear understanding of use cases and desired outcomes.
• Conducts exploratory data analysis using statistical techniques to identify trends, outliers, and correlations.
• Supports conclusions with clear, data-driven insights that inform decision-making.
• Collaborates cross-functionally with product, engineering, and business teams to define KPIs, success metrics, and solution scope.
• Builds strong stakeholder relationships and supports business solutions aligned with strategic goals.
• Anticipates needs, identifies opportunities, and drives continuous improvement beyond assigned tasks.
• Demonstrates flexibility and a growth mindset by learning and applying emerging technologies.
• Provides expert advice and guidance to others.
• Drives project activities and supports process updates.
• Builds relationships with key stakeholders and supports business solutions.
• Models compliance with company policies and supports company mission and values.

Requirements

• Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field.
• Or 2 years' experience in data analysis, data science, statistics, or related field.

Nice to Have

• Data science, data analysis, statistics, or related field.
• Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, or Information Technology.
• Related industry experience (e.g., retail, merchandising, healthcare, eCommerce).
• Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (e.g., SQL, Python, Spark, Scala, R, Power BI, Tableau).

Qualifications

• Bachelor's degree in a related field or 2 years' experience in data analysis or related field.

Benefits & Perks

• Competitive pay with performance-based bonus awards.
• Health benefits including medical, vision, and dental coverage.
• Financial benefits such as 401(k), stock purchase, and company-paid life insurance.
• Paid time off including PTO, sick leave, parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits like short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
• Live Better U education benefit program covering tuition, books, and fees.