Senior Consultant - Data Engineering-Data Analysis
Summary
The Senior Consultant will design and maintain data dashboards, write complex SQL queries, and develop Python automation scripts to streamline data processing and reporting. The role involves collaborating with stakeholders to provide data-driven insights using tools like AWS Redshift, Tableau, and Power BI.
SQL Advanced querying, joins, window functions, stored procedures Python + GIT Pandas, NumPy, automation scripting, data wrangling AWS Redshift Data warehousing, cluster management, query optimization Automation Scripted pipelines, scheduled jobs, ETL automation Tableau / Power BI/Dashboarding. Dashboard design, KPI tracking, report publishing Confluence Documentation
Design, develop, and maintain interactive dashboards and reports using Tableau (or any other Dashboarding Tool) to support business stakeholders.
• Write complex SQL queries to extract, transform, and validate data from relational databases and data warehouses.
• Develop Python-based automation scripts to streamline repetitive reporting, data processing, and reconciliation tasks.
• Track and manage analytics tasks, sprints, and documentation using JIRA and Confluence.
• Identify trends, patterns, and anomalies in large datasets and present findings to both technical and non-technical audiences.
Problem Solving: Ability to break down complex business problems and design data-driven solutions with minimal supervision.
• Stakeholder Management: Proven ability to communicate insights clearly to diverse audiences including senior leadership, product teams, and operations.
• Strong written and verbal communication skills with a proactive, ownership-driven mindset.
• Comfortable working in fast-paced, agile environments, managing multiple priorities simultaneously.