Data Analytics Analyst

We are seeking a highly skilled Data Analyst / Business Intelligence Analyst with 3–5 years of professional experience working with cloud-based data environments, enterprise reporting, and analytical datasets. The ideal candidate is a strong problem-solver who can work independently, collaborate with data engineers and SMEs, and support enterprise analytics through high-quality data modeling, validation, and visualization.

• Work with large, complex datasets to support enterprise reporting, dashboards, and analytics products.
• Build, optimize, and maintain advanced SQL queries including complex joins, CTEs, window functions, and performance tuning.
• Support data pipeline troubleshooting by identifying data quality, ingestion, or transformation issues and driving root-cause analysis.
• Prepare data optimized for dashboards and self-service analytics tools.
• Validate data accuracy by comparing cloud datasets to operational source systems.
• Collaborate with cross-functional teams to resolve data issues and ensure reliable data flows.
• Assist with dashboard/report development in platforms such as Power BI or Tableau.
• Translate business questions into efficient analytical datasets and actionable insights.
• Manage and prioritize multiple data requests and investigations simultaneously.

• 3–5 years in data analytics, business intelligence, or a related field.
• Hands-on experience working with large datasets in a cloud-based environment.
• Experience supporting enterprise dashboards and analytics products.
• Demonstrated ability to identify and troubleshoot data quality, ingestion, or pipeline issues.

• Complex joins, CTEs, window functions
• Performance optimization
• Writing reusable, well-documented queries

• Databricks
• Snowflake
• Big Query
• Understanding of data ingestion into cloud storage and analytics layers

• Designing data structures for analytics
• Preparing datasets for dashboards and visualizations

• Identifying discrepancies between source and cloud datasets
• Facilitating root-cause analysis
• Experience with Power BI, Tableau, or similar BI platforms
• Strong understanding of how data structure impacts visualization performance and usability

• Strong analytical and problem-solving skills
• Ability to work independently and collaboratively
• Clear written and verbal communication, especially when explaining data issues
• Strong organizational skills with the ability to prioritize multiple tasks

• Hands-on experience with Power BI
• Experience with the Microsoft Azure data ecosystem (Azure Data Factory, Azure SQL, ADLS)
• Experience with PySpark or Python for data analysis or transformations
• Familiarity with ETL/ELT pipelines and orchestration
• Experience with Git or similar version control tools
• Basic understanding of data governance, lineage, and metadata management

• Experience in utilities, energy, infrastructure, or other regulated industries
• Familiarity with operational, asset, or time-series data
• Experience working with imperfect, legacy, or operational source systems

• Experience mentoring junior analysts or providing technical guidance
• Ability to effectively translate business needs into analytical requirements
• Strong attention to detail and commitment to data accuracy