Mesa Natural Gas Solutions LLC is looking to solve business problems by gathering, analyzing, and interpreting data to inform strategic business decisions and drive performance improvements.
Requirements
- 2 years in data processing using SQL, Python, and other relevant technologies.
- 2 years extensive experience with Microsoft Azure and other cloud platforms like Google and Cloud Platform.
- Proficient in data visualization tools, particularly Microsoft Power BI.
- Strong understanding of ERP systems, preferably Microsoft Dynamics NAV 2017.
- Experience with Microsoft 365, Azure, Microsoft Dynamics Nav/Dynamics 365 BC, Microsoft 365 Stack, Microsoft Fabric, Microsoft SQL Server, Postgre SQL, Python, Power BI, Microsoft Power Apps, Microsoft Azure Data Lake.
- Ability to work with various data sources, including relational databases, data warehouses, and external APIs.
- Experience with data modeling, data warehousing, and data governance.
Responsibilities
- Utilize advanced SQL querying techniques to extract and manipulate data from various sources, including relational databases, data warehouses, and external APIs.
- Design and develop robust data models and analytical solutions to support business reporting and decision-making processes.
- Develop and maintain interactive dashboards, reports, ML Models, and visualizations using tools within the Fabric platform such as Power BI, Data Factory, and Data Science via Synapse.
- Conduct in-depth data analysis to identify trends, patterns, and correlations that can provide valuable insights into business performance and Mesa engine behavior.
- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions and actionable recommendations.
- Implement data quality assurance measures to ensure accuracy, completeness, and consistency of data used for analysis and reporting.
- Stay abreast of emerging trends and advancements in business intelligence, data analytics, and visualization techniques, and recommend innovative solutions to enhance analytical capabilities.
Other
- 4 Year / Bachelors Degree in business intelligence, data science, finance, or a related field from an accredited university.
- Ability to communicate ideas effectively and maintain deadlines.
- Strong prioritization, organization, and project management skills.
- Excellent communication skills with a strong attention to detail both verbally and written.
- Must be able to fluently speak, write, and read in English.