Data Analyst
BUSINESS ENTERPRISES INC
Sacramento, United States of America
yesterday
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Sacramento, United States of America
Tech stack
Amazon Web Services (AWS)
ArcGIS (Software)
Big Data
Crystal Reports (Reporting Software)
Data Governance
ETL
Relational Databases
IBM InfoSphere DataStage
Meta-Data Management
Performance Tuning
Systems Development Life Cycle
Power BI
SAS (Software)
Systems Architecture
Teradata
Enterprise Data Management
Esri GIS (Software)
Freeform SQL
Spark
Sap Business Objects
Collibra
Databricks
Job description
We are seeking an experienced Senior Data Analyst with a strong background in enterprise data platforms, business intelligence tools, and advanced analytics. This role supports large-scale data initiatives, reporting modernization, and cross-functional decisionmaking across the organization.
Requirements
Perform advanced quantitative analysis with 5-10 years of experience as a Data Analyst, Data Engineer, or BI Analyst with the responsibilities listed below:
- Design, build, and optimize ETL workflows using tools such as DataStage or Informatica.
- Develop complex SQL queries and conduct performance tuning within Teradata SQL Studio.
- Build and maintain enterprise reporting solutions using SAP Business Objects (BOBJ) and Crystal Reports.
- Create interactive dashboards and data models using Power BI and AWS Power BI, including DAX, data modeling, and cloud-based BI deployment.
- Utilize Databricks for large-scale data processing, Spark transformations, and collaborative analytics.
- Support data governance and metadata management initiatives using Collibra.
- Experience in statistical and geospatial analysis using SAS, ESRI, and ArcGIS is a plus.
- Provide database administration support with 5-10 years of DBA experience, including at least 3+ years in a lead capacity.
- Apply strong knowledge of IT fundamentals, system architecture, relational databases, and SDLC methodologies.
- Communicate effectively with technical and non-technical stakeholders through presentations, documentation, and analytical reports.