Accolite
SAC Analyst
Job Description
🎯 Role Purpose
VOIS is seeking a highly skilled Senior Data Analyst with strong expertise in Google Cloud Platform (GCP) and advanced SQL capabilities. This role involves collaborating with stakeholders to gather requirements, analyze data, perform fit-gap analysis, and develop efficient data models. The ideal candidate should have experience in BigQuery, Airflow/Cloud Composer, and familiarity with modern data processing tools.
🛠️Key Responsibilities
- 🤝 Collaborate with business stakeholders to understand project objectives, KPIs, and data needs. Translate business requirements into detailed technical specifications.
- 🔍 Explore, analyze, and validate large datasets using SQL and GCP tools.
- 📊 Identify trends, anomalies, and actionable insights to support decision-making.
- ⚖️ Compare current state data processes with future requirements to identify gaps.
- 💡 Recommend solutions to bridge identified gaps efficiently.
- 🧱 Design conceptual, logical, and physical data models for analytical and reporting needs.
- 🎯 Ensure data structures align with business goals and performance requirements.
- 🗺️ Create detailed mapping documents defining transformation rules from source systems to target databases. Write clear pseudo code for ETL/ELT processes to support engineering implementation.
- 📚 Contribute to knowledge-sharing sessions and mentor junior engineers on best practices and new technologies.
- 🏗️ Apply Data Warehouse concepts such as dimensional modeling, star/snowflake schemas, and data marts to support scalable analytics solutions.
🧠 Required Skills & Experience
✅ Mandatory
- 🧠 Google Cloud Platform (GCP): Strong hands-on experience
- 🧠 SQL: Advanced proficiency in writing complex queries and optimizing performance
- 🧠 BigQuery: Expertise in building queries, optimizing datasets, and cost-efficient querying
- 🧠 Cloud Composer (Airflow): Experience in orchestrating data workflows
🌟 Optional / Nice to Have
- 🔔 Pub/Sub: For event-driven data integration
- 🔄 Dataflow: For large-scale data processing pipelines
- 🔥 Dataproc: For Hadoop/Spark-based data processing
🎓 Qualifications
- 🎓 Bachelor’s or master’s degree in computer science, Information Technology, Data Science, or related field
- 📈 5+ years of experience in data analysis, modeling, and ETL/ELT processes
- 🧠 Strong analytical thinking and problem-solving skills
- 🗣️ Excellent communication skills for translating technical findings into business insights
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