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Job Requirements of Senior Data Analyst:
- Ensure data accuracy and data integrity
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Extracting data from the database
- Perform data modeling based on multiple data sources
- Ensure data accuracy and troubleshoot data to improve performance of data applications
- Perform data analysis and monitoring to ensure data quality
- Develop data templates/software tools for data submission
- Perform data analysis and ad hoc reporting using SQL
- Track data quality and data flow dynamics
- Conduct details analysis of data
- Understanding of data requirements to ensure data source
- Develop reports to access data directly in the database or in the data warehouse
- Analyzing data from various systems
- Provide statistical analysis of data
- Ensure data accuracy within system
- Analyze business data from various sources
- Develop data flows and interpret data models
- Monitor data quality scorecards and data integrity efforts to works with data owners/stewards to resolve data quality issues
- Perform data conversion validations using reports
- Acquiring data from primary or secondary data sources and maintaining databases
Do you meet the requirements for this job?
Senior Data Analyst
Title: Senior Data Analyst
Location: Hybrid (Houston, TX or New Orleans, LA)
Duration: Full Time
We are looking for Sr. Data Analyst. The ideal candidate should be detail-oriented and have strong experience with Data Extraction, Data Manipulation, and Data Visualization. Must have strong experience with SQL, Power BI and advanced Excel formulas and dashboards. Nice to have experience with Informatica, Python, and Tableau.
Responsibilities:
- Explore, learn, and understand large data models to catalog assets, create documentation and build reports.
- Understand business processes and commercial implications to effectively analyze large datasets and derive meaningful insights complex segmentation.
- Create SQL queries to segment, manipulate, and format data.
- Translate business requirement to technical criteria for data analysis.
- Visualize data and present findings using PowerBI
- Database maintenance, segmentation, maintain data integrity.
- Identify, organize, and catalog data assets.
- Use Power BI and Microsoft Excel to build reports, visualizations, and dashboards to present insights from the data
- Create schema modeling diagrams and analyze datasets to find marketing insight.
- Develop and present reports based on marketing and segmentation strategy.
- Build automations to ingest, transfer, move, upload, and manipulate data.
Requirements:
- 5+ years of experience working as a Functional Business Analyst
- Advanced SQL query development proficiency
- 5+ years of experience working as a Data Analyst
- Power BI or any other reporting tools experience
- 3+ years of MS Excel, creating Excel formulas and pivot tables
- Report object development skills
- Experience with Python, Informatica, and/or Tableau is a plus
- Strong written, verbal communication and presentation skills
- Strong organizational skills and attention to detail
- Demonstrated analytical and quantitative skills
- Electric Utility business experience is a plus
What you know (Must have)
- Advanced SQL
- Intermediate Microsoft Excel
- PowerBI
- Experience with massive enterprise cloud data warehouse
- Building reports and dashboards
Job Requirements:
- Ensure data accuracy and data integrity
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Extracting data from the database
- Perform data modeling based on multiple data sources
- Ensure data accuracy and troubleshoot data to improve performance of data applications
- Perform data analysis and monitoring to ensure data quality
- Develop data templates/software tools for data submission
- Perform data analysis and ad hoc reporting using SQL
- Track data quality and data flow dynamics
- Conduct details analysis of data
- Understanding of data requirements to ensure data source
- Develop reports to access data directly in the database or in the data warehouse
- Analyzing data from various systems
- Provide statistical analysis of data
- Ensure data accuracy within system
- Analyze business data from various sources
- Develop data flows and interpret data models
- Monitor data quality scorecards and data integrity efforts to works with data owners/stewards to resolve data quality issues
- Perform data conversion validations using reports
- Acquiring data from primary or secondary data sources and maintaining databases