Tasks:
- * Analyze large multi-source datasets
- * Apply descriptive diagnostic predictive and prescriptive analytics
- * Design and optimize ETL/ELT processes
- * Design dashboards, KPIs, and analytical models
- * Establish analytics standards and best practices
- * Integrate Databricks with reporting and visualization tools
- * Lead exploratory and advanced data analysis
- * Manage data quality and metadata
- * Mentor data analysts
- * Optimize analytical performance
- * Partner with data engineering and governance teams
- * Present data analysis findings to stakeholders
- * Support strategic decision-making
- * Transform and automate data
- * Translate business problems into analytical approaches
Perks/Benefits:
Skills/Tech stack required:
[Cloud Data] [Cloud Data Platforms] [Dashboard Design] [Data Analysis] [Data analytics] [Databricks] [Databricks Notebooks] [Databricks Workflows] [Data Governance] [Data Modeling] [Data orchestration] [Data Pipelines] [Data platforms] [Data Quality] [Data Quality Management] [Data Storytelling] [Data Transformation] [Delta Lake] [Descriptive Analytics] [Diagnostic Analytics] [ETL/ELT] [Exploratory Data Analysis] [KPI design] [Lakehouse Architecture] [Large-scale] [Large Scale Data] [Large-scale Data Analytics] [Medallion Architecture] [Metadata Management] [Power BI] [Predictive Analytics] [Prescriptive Analytics] [Python] [Quality management] [SQL] [Structured data] [Tableau] [Unity Catalog] [Unstructured Data]
Educational requirements:
N/A
Role(s):
[Analyst] [Analytics Consultant] [Business Intelligence] [Business Intelligence Analyst] [Consultant] [Data Analyst] [Data Analytics] [Data & Analytics Consultant] [Intelligence Analyst]