Description - External
Develop comprehensive digital analytics solutions utilizing Adobe Analytics for web tracking, measurement, and insight generation.
Design, manage, and optimize interactive dashboards and reports using Power BI to support business decision-making.
Lead the design, development, and maintenance of robust ETL/ELT pipelines integrating diverse data sources.
Architect scalable data solutions leveraging Python for automation, scripting, and engineering tasks.
Oversee workflow orchestration using Apache Airflow to ensure timely and reliable data processing.
Provide leadership and develop robust forecasting models to support sales and marketing strategies.
Develop advanced SQL queries for data extraction, manipulation, analysis, and database management.
Implement best practices in data modeling and transformation using Snowflake and DBT; exposure to Cosmos DB is a plus.
Ensure code quality through version control best practices using GitHub.
Collaborate with cross-functional teams to understand business requirements and translate them into actionable analytics solutions.
Stay updated with the latest trends in digital analytics; familiarity or hands-on experience with Adobe Experience Platform (AEP) / Customer Journey Analytics (CJO) is highly desirable.
Qualifications - External
- Undergraduate degree or equivalent experience.
Masters or Bachelors degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, Business Analytics, or a related field.
810+ years of progressive experience in digital analytics, data analytics or business intelligence roles.
Advanced proficiency in web and digital analytics platforms (Adobe Analytics).
Experience with data modeling and transformation using tools such as DBT and Snowflake; familiarity with Cosmos DB is a plus.
Proficiency in ETL/ELT pipeline development and workflow orchestration (Apache Airflow).
Skilled in creating interactive dashboards and reports using Power BI or similar BI tools.
Deep understanding of digital marketing metrics, KPIs, attribution models, and customer journey analysis.
Experience developing forecasting models and conducting predictive analytics to drive business strategy.
Industry certifications relevant to digital analytics or cloud data platforms.
Ability to deliver clear digital reporting and actionable insights to stakeholders at all organizational levels.
Keyskills: Azure Databricks Adobe Analytics SQL Python Azure Data Factory Power Bi Data Visualization Tableau Data Analytics ETL