Job Description
Job Description:
Act as project owner to prepare, process, and validate data for business needs Collaborate with stakeholders on building data pipeline and gather into internal tables using SQL, Inhouse-tools and Python Develop reports, dashboards, and automation solutions using SPARK, SQL, Python, Excel, and in-house tools as business requirements Ensure data integrity by sanitizing, validating, and aligning numbers with accurate logic Proactively seek data insights and make data-driven recommendations to the business team. Requirements:
Master's or bachelor's degree in quantitative or relevant fields 2-5 years of experience in Data Analytics, Business Intelligence, or Data Engineering or similar roles in fast-growing industries Experience in project & stakeholder management Strong SQL skills for data querying and Excel proficiency (Python is a plus) Strong English communication skills, both verbal and written Detail-oriented with a passion for building from the ground up
Act as project owner to prepare, process, and validate data for business needs Collaborate with stakeholders on building data pipeline and gather into internal tables using SQL, Inhouse-tools and Python Develop reports, dashboards, and automation solutions using SPARK, SQL, Python, Excel, and in-house tools as business requirements Ensure data integrity by sanitizing, validating, and aligning numbers with accurate logic Proactively seek data insights and make data-driven recommendations to the business team. Requirements:
Master's or bachelor's degree in quantitative or relevant fields 2-5 years of experience in Data Analytics, Business Intelligence, or Data Engineering or similar roles in fast-growing industries Experience in project & stakeholder management Strong SQL skills for data querying and Excel proficiency (Python is a plus) Strong English communication skills, both verbal and written Detail-oriented with a passion for building from the ground up