Bluecore, Inc.

Posted 3 days ago

🔍 Retail / ecommerce

2-3 years of experience in a data analysis or related role.
Experience with web analytics platforms (Adobe Analytics, GA4) for custom reports and data exporting.
Expertise in using spreadsheets (Excel, Google Sheets) for data manipulation with pivot tables and complex formulas.
Familiarity with business intelligence (BI) tools, especially Looker.
Understanding of basic data concepts and strong problem-solving skills.
Strong communication and interpersonal skills.
Fluency in English.
Availability to work on Sundays.

Create and maintain weekly, monthly, and quarterly client reports using BI tools and spreadsheets.
Analyze client performance and track key performance indicators (KPIs).
Create engaging data visualizations to communicate complex data concepts.
Conduct high-level data analysis to identify trends and key takeaways.
Extract and structure data from web analytics platforms to track ecommerce marketing performance.
Clean and prepare web analytics data for analysis.
Create visualizations to convey high-level findings.
Coordinate with Customer Success teams and clients to understand data nuances.

Posted 3 days ago

Posted 11 days ago

📍 United States

🧭 Full-Time

💸 200000.0 - 240000.0 USD per year

🔍 Retail ecommerce

3+ years as tech lead for a high-performing data team.
5+ years in data pipeline orchestration and data warehouse design, with 3+ years of experience using dbt.
Extensive experience architecting and developing cloud data warehouses for business use cases.
Advanced Python knowledge for analytics and automation.
Expert level SQL knowledge.
Experience scaling the modern data stack and implementing operational processes.
Knowledge of adjacent technologies such as Terraform, NoSQL, and Airflow.

Define and execute Bluecore’s long-term data strategy aligning with client impact and business goals.
Lead development of complex transform projects to create essential data assets.
Architect and develop data models and ETL/ELT processes.
Evaluate and integrate new technologies for scaling data pipelines.
Manage cost-saving initiatives and oversee data infrastructure expenses.
Mentor analytics engineers and enhance data quality and maturity.

PythonSQLETLGCPSnowflakeAirflowData modeling

Posted 11 days ago

🔧 Requirements