Senior Data Analyst IRC292050 $$$$

Description

Our client is a luxury skincare and beauty brand. The brand is based in San Francisco and sells luxury skincare products worldwide.

Client’s main IT “product” is its e-commerce website, which functions as a digital platform to sell products, educate customers, and personalize experiences.

• Runs on Salesforce Commerce Cloud (formerly Demandware) — an enterprise e-commerce platform that supports online shopping, order processing, customer accounts, and product catalogs.
• Hosted on cloud infrastructure (e.g., AWS, Cloudflare) for reliable performance and security
  Uses HTTPS/SSL encryption to secure data transfers.
• Integrated marketing and analytics technologies such as Klaviyo (email & SMS automation), Google Tag Manager, and personalization tools to track behavior, optimize campaigns, and increase conversions

It’s both a shopping platform and a digital touchpoint for customers worldwide.

Requirements

We are seeking a Data Analyst with strong experience in analyzing complex datasets, building insightful dashboards, and translating data into actionable business recommendations.

In this role, you will collaborate closely with product teams and other analysts to create compelling visualizations and uncover patterns that drive data-informed decision-making. You will play a critical role in defining metrics and providing the insights needed to optimize our products and services.

Job responsibilities

Dashboarding & Visualization: Design and build dashboards to support data visualization and reporting requirements.
• KPI Definition: Collaborate with product teams to define key metrics and KPIs that drive business decisions.
• Deep-Dive Analysis: Perform in-depth data analysis to identify trends, patterns, and opportunities for optimization.
• Data Storytelling: Provide actionable insights and recommendations to stakeholders through clear and compelling data storytelling.
• Data Modeling: Contribute to building data modeling based on various data sources.
• Documentation: Create and maintain comprehensive documentation for data models, workflows, and analysis methodologies.

Skillset To succeed in this role, the following qualifications are required:
• Experience & Education:
◦ Minimum of 4 years of experience in data analytics.
◦ Demonstrated experience with SQL and aggregating unstructured data collected from multiple sources.

Technical Tools (Must Have):
◦ Hands-on experience with data visualization tools such as PowerBI, Tableau, ADX, or similar.

Technical Tools (Nice to Have / Plus):
◦ Experience with Git.
◦ Experience with ETL processes and DBT (or equivalent tools).
◦ Experience with Product Analytics tools (e.g., Google Analytics, Amplitude).
◦ Experience with R or Python.
◦ Experience designing and analyzing A/B and multivariate tests.

Soft Skills:
◦ Excellent problem-solving skills.
◦ Strong communication skills to effectively convey insights to stakeholders