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Stallion Oil Field Services

Technical Data Analyst

Stallion Oil Field Services, Houston, Texas, United States, 77246


Role Summary:We are looking for a proficient Technical Data Analyst who will be instrumental in enhancing our data-driven decision-making processes. This role involves extensive data modeling, analysis, and governance, along with management of data quality across various platforms. The ideal candidate will have strong technical skills in Power BI, SQL, Python, Salesforce, and Oracle ERP.

Role Priorities/Other Responsibilities:

Data Modeling and Analysis:Develop and refine data models to accurately represent business processes and support advanced analytics.Perform rigorous data analysis to uncover insights that will inform strategic business decisions.Utilize statistical and predictive modeling techniques to support various business initiatives.Implement and oversee data quality checks to ensure the accuracy and consistency of data across all systems.Develop methodologies for data cleaning, deduplication, and correction to maintain high data integrity.Collaborate with IT and business stakeholders to develop and enforce data governance standards and practices.Ensure compliance with internal data policies and external regulations affecting data security and privacy.Manage and optimize databases to ensure efficient data storage, access, and retrieval.Implement best practices for database design, development, and maintenance.Design and create visual reports and dashboards using Power BI to provide actionable insights to business users.Facilitate data-driven decision-making by providing timely, accurate, and relevant data visualizations.Essential Skills and Experience:

Technical Expertise:Develop and refine data models to accurately represent business processes and support advanced analytics.Perform rigorous data analysis to uncover insights that will inform strategic business decisions.Utilize statistical and predictive modeling techniques to support various business initiatives.Implement and oversee data quality checks to ensure the accuracy and consistency of data across all systems.Develop methodologies for data cleaning, deduplication, and correction to maintain high data integrity.Collaborate with IT and business stakeholders to develop and enforce data governance standards and practices.Ensure compliance with internal data policies and external regulations affecting data security and privacy.Manage and optimize databases to ensure efficient data storage, access, and retrieval.Implement best practices for database design, development, and maintenance.Design and create visual reports and dashboards using Power BI to provide actionable insights to business users.Facilitate data-driven decision-making by providing timely, accurate, and relevant data visualizations.Communication and Collaboration:Effective communication skills, capable of conveying complex data insights to non-technical stakeholders.Ability to work collaboratively in a team environment and engage with multiple departments to gather data requirements and deliver solutions.Preferred Qualifications:Certifications in Power BI, SQL, or Python to demonstrate deep technical proficiency.Experience with data protection regulations like GDPR or HIPAA, ensuring compliance in data handling.Background in handling complex data in finance, healthcare, or telecommunications, showing the ability to manage sensitive information.Skills in leading and managing data-focused projects from planning to execution.Experience in integrating data systems such as Salesforce and Oracle ERP, ensuring cohesive data operations.Knowledge of advanced data modeling techniques for creating predictive models and strategic insights.Ability to develop and implement business intelligence solutions that turn data into actionable insights.Proven ability to work effectively in cross-functional teams to leverage data for decision-making.Strong communication skills to clearly present complex data insights to diverse audiences.Education:Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field.At least 5 years of experience in a data analysis role, preferably in a technical capacity.

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