Senior Data Analyst

Job Description – Senior Business Data Analyst (Retail & Ecommerce)Role OverviewWe are seeking a highly analytical and business-oriented Senior Business Data Analyst to partner directly with business stakeholders and enable data-driven decision making across our retail and ecommerce organization. This role is ideal for someone who thrives at the intersection of business and analytics—someone who enjoys solving ambiguous business problems, proactively identifying opportunities, and translating data into actionable insights.The successful candidate will work closely with business functions such as Merchandising, Growth, Marketing, Category Management, and Operations, leveraging SQL, Python, Snowflake, and modern BI tools to deliver meaningful insights, build intuitive dashboards, and empower business users through self-service analytics.This is a business-facing analytics role and requires exceptional communication, stakeholder management, and consultative problem-solving skills.
Key ResponsibilitiesPartner directly with business leaders to understand strategic and operational challenges and translate them into analytical solutions.Analyze large datasets to answer complex business questions and provide actionable recommendations that influence planning and in-season decisions.Build, enhance, and maintain executive dashboards and self-service reports using Sigma (or equivalent BI platforms).Perform ad-hoc analysis to identify trends, business opportunities, risks, and performance drivers.Develop reusable analytical assets and automate repetitive analyses using Python.Coach and enable business users to leverage self-service analytics capabilities effectively.Present analytical findings to non-technical audiences through clear storytelling and data visualization.Proactively identify business opportunities and recommend analytical approaches without waiting for formal requirements.Collaborate with Data Engineering and Technology teams to ensure reliable access to high-quality data while remaining focused on business analytics.Contribute to establishing analytics best practices and improving data-driven decision-making across the organization.
Required QualificationsBachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Business Analytics, or a related discipline.3+ years of experience in a business-facing analytics role supporting business stakeholders.Strong expertise in SQL with hands-on experience querying large datasets (Snowflake preferred).Strong Python skills for data analysis, automation, and AI-assisted analytical workflows (Pandas, NumPy, notebooks, scripting).Experience with modern BI and visualization platforms (Sigma preferred; Tableau, Power BI, or Looker acceptable).Demonstrated experience working directly with non-technical business partners and executive stakeholders.Excellent analytical and problem-solving skills with the ability to work through ambiguous business problems.Strong communication and presentation skills with the ability to explain technical findings in business language.Proven ability to independently translate business challenges into analytical requirements and recommend appropriate analytical approaches.
Preferred QualificationsExperience in Retail and Ecommerce analytics.Hands-on experience with Snowflake as a cloud data platform.Experience enabling Self-Service Analytics for business users.Exposure to conversational AI or AI-powered analytics tools.Experience supporting multi-brand or multi-geography businesses.Familiarity with experimentation, merchandising analytics, customer behavior analysis, pricing, inventory, or digital commerce metrics.
Technical SkillsSQL (Advanced)SnowflakePython (Pandas, Jupyter, data analysis, automation)Sigma Analytics (preferred)Tableau / Power BI / Looker (acceptable alternatives)Excel (Advanced)Data visualization and storytellingBusiness analytics and KPI development
Success ProfileThe ideal candidate is:A proactive business partner rather than an order-taker.Comfortable navigating ambiguity and defining analytical approaches independently.Equally confident in business meetings and technical discussions.Passionate about helping business teams make better decisions through data.Curious, collaborative, and driven by business outcomes rather than simply producing reports.
What This Role Is NotThis role is intentionally focused on business analytics and stakeholder partnership. It is not:A Data Engineering role (no ETL pipelines, dbt, Airflow, Airbyte, or infrastructure ownership).A Data Science role (no machine learning model development or predictive modeling responsibilities).A report development role that works in isolation from the business.A dashboard-only role where requirements are handed over—the successful candidate is expected to proactively uncover business needs, ask the right questions, and shape the analytical approach.
About VRIZE INC
VRIZE is a Global Digital & Data Engineering company, committed to delivering end-to-end Digital solutions and services to its customers worldwide. We offer business-friendly solutions across industry verticals that include Banking, Financial Services, Healthcare & Insurance, Manufacturing, and Retail. The company has strategic business alliances with industry leaders such as Adobe, IBM Sterling Commerce, IBM, Microsoft, Docker, Sisense, Competera, Snowflake, and Tablea
VRIZE is headquartered out of Tampa (Florida) with a team size of 410 employees globally, currently, 100% of the clients undertaken are in the United States. Delivery centers are distributed in the US, Canada, Serbia, and India. Having stellar growth and future projections of 100% YOY for the last 3 years, the company has been successfully addressing its clients' digital disruption needs. Our continued success depends to a large extent on our ability to remain at the forefront of disruptive developments in the field of information technology and leaders/team members joining the force are expected to replicate the same.VRIZE is an equal-opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, marital status, age, national origin, ancestry, disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Individuals with disabilities are provided reasonable accommodation.