Data Analyst (Middle/Senior)

• Drive business impact through actionable insights and identifying key opportunities for rapid growth
• Build dashboards that provide accurate and actionable insights
• Work with the data engineering team on the data enrichment needs of the product team
• Work with stakeholders across the business to prioritize projects based on impact and drive delivery
• Developing a process to identify, analyze, and interpret trends or patterns in complex data sets, empower informed decision making for stakeholders
• Ensuring governance and being a steward of good analytical practices throughout the process

MUST HAVE SKILLS:

• 5+ years of experience in data analytics, business intelligence, data engineer or related roles
• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or any other analytical field (relevant experience will be considered for other degrees)
• Hands-on experience with Python (e.g., pandas) for manipulating large datasets and extracting business insights
• Strong proficiency in SQL, including experience with SQL Server and cloud-based data warehouses (e.g., Amazon Redshift)
• Expertise in Power BI, particularly in developing and maintaining financial reports
• Demonstrated experience working with reporting platforms, ideally with familiarity in platforms similar to SSRS
• Practical experience in data pipeline/ETL tools such as Airflow, DBT, or similar frameworks
• Experience in setting up or migrating to a Data Lake or cloud warehouse, preferably migrating from SQL Server to Redshift
• Ability to collaborate cross-functionally to support reporting and analytics migration efforts
• Exposure to data visualization tools (e.g., Power BI)
• Experience with data monitoring and alerting systems is a plus

Skills Tags: Python Data Analyst, Business Intelligence Analyst, SQL, DB, PowerBI, AWS, Datawarehouse

ALLOW REMOTE WORKING