We are looking for a Data Analyst / Data & Analytics Support Engineer who can work across SQL-based querying, data modeling, and cloud-based analytics platforms to support data-driven decision-making. The ideal candidate combines strong technical querying/analysis skills with the ability to troubleshoot data issues, communicate insights clearly, and work across modern data warehousing and big data ecosystems.

Write and optimize complex SQL queries for data extraction, transformation, and reporting Design and maintain data models to support analytics and reporting needs Perform data transformation (ETL/ELT) to prepare raw data for analysis Work with data warehousing concepts and platforms to structure and manage large datasets Support and maintain cloud-based analytics services (GCP, AWS, or Azure — e.g., BigQuery, Redshift, Synapse) Work with big data and database technologies to manage structured and unstructured data at scale Build dashboards and visualizations to communicate insights to technical and non-technical stakeholders Troubleshoot data pipeline issues, query performance problems, and reporting discrepancies Provide data support to internal teams — resolving data access, quality, and reporting issues Document data processes, queries, and troubleshooting steps for knowledge sharing

SQL & Data Analysis Strong SQL skills — complex joins, window functions, query optimization Experience in data modeling (dimensional modeling, star/snowflake schema) Hands-on data transformation experience (ETL/ELT pipelines) Data Analytics & Warehousing Concepts Solid understanding of data warehousing principles (fact/dimension tables, schema design) Experience with analytics workflows — from raw data to reporting-ready datasets Cloud Platforms — Analytics Services Hands-on experience with at least one major cloud analytics service: GCP: BigQuery, Dataflow, Looker AWS: Redshift, Athena, Glue Azure: Synapse Analytics, Data Factory Big Data & Database Technologies Experience with big data tools (Spark, Hadoop, or similar) and/or NoSQL/relational databases Understanding of database performance tuning and management Data Visualization & Communication Experience with BI/visualization tools (Tableau, Power BI, Looker, or similar) Ability to translate data findings into clear, actionable insights for stakeholders Troubleshooting & Support Methodologies Strong troubleshooting skills for data quality, pipeline failures, and query performance issues Familiarity with support ticketing/incident management processes