Sr Data Analyst

• Developing Python scripts to automate validations for data quality and quantity
• Creating and maintaining automation scripts using Python and Linux Shell Scripting for platform maintenance activities and health checks
• Extracting data from Salesforce Cloud and ensuring adherence to PRD specifications
• Reconciling data between source and target tables, ensuring data consistency, accuracy, and integrity
• Analyzing client data files and Developing procedures for preparing, transforming, and cleansing data prior to analysis
• Generating and documenting reports using Python, SQL, Excel and Extracting data from disparate sources using technologies like Snowflake and Redshift
• Creating scripts in Databricks to migrate the data from various sources to Data Warehouse
• Performing data cleaning, transformation, enrichment and Utilizing data mining techniques on data for analysis
• Design metrics and build dashboards in Tableau to track customer behavior, KPIs, and marketing effectiveness
• create PL/SQL reports and should be moving them to AWS Redshift
• work with Senior Analysts and drive actionable insights

• Bachelor’s degree or foreign equivalent in Computer Science, Data Science, Data Analytics, Business Analytics, or a related field and six (6) years of experience in Data Analytics
• Alternatively, a Master’s degree or foreign equivalent in Computer Science, Data Science, Data Analytics, Business Analytics, or a related field and three (3) years of experience in Data Analytics
• Required skills include experience in SQL, Tableau, Python, data analysis, Unix scripting, AWS, Jira, Software Development Life Cycle (SDLC), Agile, and PL/SQL
• Expertise in Machine Learning and Data Science, along with strong problem-solving capabilities and collaboration skills, is essential

Relevant certifications in cloud technologies (Azure, AWS, or GCP)