Commercial Data & Analytics Analyst

About the Role

Key Responsibilities

• Build and maintain ETL/ELT data ingestion pipelines from multiple source systems into the Enterprise Data Lake for Digital Marketing, Sales, Service, eCommerce, and Advanced Pricing.
• Implement and maintain data collection and governance processes using Google Tag Manager and web analytics tools, including authoring tagging plans, designing data layer schema, configuring and validating GA4 & GTM, and ensuring consent-mode compliant tracking.
• Ensure data quality through rigorous cleansing, validation, and standardization procedures.
• Write and optimize SQL queries for data extraction and transformation.
• Perform complex data analysis using SQL in Data Lake environments such as Google BigQuery and Databricks.
• Develop analytical data models and schemas to identify customer behavior patterns, trends, and opportunities.
• Generate actionable insights to support digital marketing campaigns, eCommerce optimization, and pricing strategies.
• Create and maintain interactive dashboards and reports using tools like Looker Studio, Power BI, or Tableau.
• Develop automated reporting solutions to track KPIs across digital channels, including funnel conversion, campaign performance, lead-to-revenue flow, customer segmentation, service case trends, pricing leakage, and profitability drivers.
• Present data findings and recommendations to stakeholders at various organizational levels.
• Support integration efforts between marketing, sales, service, eCommerce, advanced pricing platforms, and the Enterprise Data Lake.
• Curate and maintain machine learning-ready datasets and semantic layers for advanced analytics and predictive modeling.
• Participate in data governance initiatives, including metadata management, data lineage tracking, and compliance with data privacy regulations.
• Partner with cross-functional teams to understand business requirements and contribute to the Customer 360 data strategy and roadmap.
• Identify opportunities for process automation and efficiency improvements.
• Stay current with industry trends and recommend new tools and methodologies.

Requirements

• 2+ years of hands-on experience in data analysis and analytics.
• Proficiency in SQL with experience in complex query writing and optimization.
• Experience with data visualization tools, preferably Looker Studio, Power BI, Tableau or similar platforms.
• Working knowledge of data warehousing concepts and ETL/ELT processes.
• Experience with cloud-based data lake platforms such as BigQuery, Databricks, or similar.
• Strong understanding of web analytics metrics and digital marketing KPIs.
• Demonstrated ability to translate business questions into analytical approaches.
• Experience in statistical analysis and data modeling.
• Strong problem-solving skills with attention to detail.
• Ability to identify data quality issues and implement corrective measures.
• Excellent written and verbal communication skills for presenting complex data to non-technical audiences.
• Experience working in cross-functional team environments.
• Strong project management skills with the ability to manage multiple priorities.
• Customer-focused mindset with understanding of customer journey analytics.

Nice to Have

• Hands-on experience with Google Analytics 4 (GA4) and Google Tag Manager.
• Programming experience in Python or R for data analysis.
• Experience with API integrations and data pipeline development.
• Knowledge of machine learning concepts and predictive analytics.
• Familiarity with version control systems (Git).
• Experience with data orchestration tools (Qlik or similar).
• Understanding of digital marketing concepts (SEO, SEM, email marketing, personalization).
• Knowledge of customer segmentation and lifetime value analysis.
• Familiarity with pricing analytics and revenue optimization.
• Experience with privacy regulations (GDPR, CCPA) and their impact on data collection.
• Self-starter with ability to work independently and take initiative.
• Agile mindset with adaptability to changing priorities.
• Passion for continuous learning and industry trend awareness.
• Strong collaboration skills and relationship-building across teams.
• Creative thinking for innovative solutions.
• Relevant certifications (Google Analytics, Google Cloud, Databricks, etc.) are a plus.

Qualifications

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, Data Analytics, or Marketing with a strong analytical focus.

Benefits & Perks

• Range for this position is $72,880.00 - $100,210.00 depending on experience and location.
• Comprehensive health and wellness benefits including medical, dental, vision, paid parental leave, family building support, fitness programs, and company-paid life insurance and disability benefits.
• Retirement plans including a 100% company-paid pension benefit and a 401(k) plan with company matching contributions.
• Paid time off (PTO) and long-term incentives aligned with company performance.
• Peer-to-peer recognition program to celebrate contributions.
• Support for work-life balance and employee well-being.