Apt · 15 hours ago
Data Analytics Analyst 2
Apt is seeking a highly skilled Data Analyst / Business Intelligence Analyst with 3–5 years of professional experience. The role involves working with complex datasets to support enterprise reporting and analytics, collaborating with cross-functional teams, and ensuring data quality and accuracy.
Responsibilities
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
Develop analytics-ready datasets using solid data modeling principles (fact/dimension structures, wide vs. narrow table design, etc.)
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
Qualification
Required
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
SQL (Advanced — Required)
Complex joins, CTEs, window functions
Performance optimization
Writing reusable, well-documented queries
Experience with one or more cloud data platforms: Databricks, Azure Synapse, Snowflake, BigQuery
Understanding of data ingestion into cloud storage and analytics layers
Fact/dimension modeling
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
Preferred
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