se in data analytics, business intelligence, data engineering, and visualization technologies to deliver actionable business insights across enterprise functions.
The candidate will be responsible for analyzing complex datasets, designing and developing interactive dashboards, building scalable ETL pipelines, and implementing data models that support business intelligence and analytics initiatives. The role includes transforming raw data into meaningful insights, optimizing reporting solutions, ensuring data quality, and enabling data-driven decision-making across the organization.
Professionals should have hands-on experience with Python, SQL, Power BI, Tableau, ETL tools, data modeling, data warehousing, and modern cloud-based analytics platforms. Strong knowledge of Snowflake, Amazon Redshift, Google BigQuery, Azure Data Factory, Informatica, Talend, and enterprise reporting solutions is highly preferred.
The role also involves collaborating with business stakeholders, data engineers, data scientists, and cross-functional teams to gather requirements, develop analytics solutions, improve data governance, optimize database performance, and support predictive analytics and machine learning initiatives. Candidates should possess strong analytical thinking, communication, stakeholder management, and problem-solving skills.
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