Analytics Advisor

What you will do

• Key Responsibilities:
• Evaluating Business Processes: Identifying opportunities for automation to improve efficiency and effectiveness.
• Designing Automation Solutions: Developing detailed process documentation and diagrams to support understanding and implementation.
• Implementing Automation Systems: Designing, testing, and deploying automation scripts and systems.
• Collaborating with Departments: Working with various teams to understand their needs and provide tailored automation solutions.
• Training and Support: Providing training and ongoing support to staff on the use of automation tools and systems.
• Staying Updated: Keeping abreast of the latest trends and technologies in automation.
• Reviewing and Updating Processes: Regularly reviewing and updating automation processes to ensure they remain efficient and effective.
• Addressing Technical Issues: Troubleshooting and resolving any technical issues related to automation systems.
• Continuous Improvement: Implement transformation to streamline, automate, and centralize business and reporting processes
• Troubleshooting and breakfix: Troubleshoot issues with applications, to provide break fix solutions and ensure smooth operations.
• Intermediate to Advance skills: 4+ years’ experience in SQL, Python, Snowflake,
• Experience in building end user apps, establish data connections to various platforms including cloud services
• About You
• Required Skills and Qualifications:
• Minimum bachelor’s degree in Engineering.
• Industry Experience: Candidate with working experience in the oil and gas industry with a clear understanding of user requirements for standard reporting and related services will be preferred.
• Relationship Management: Ability to effectively control scope/demand for report delivery services.
• Process Management: Applies continuous improvement processes to drive report delivery streamlining via the use of CI tools and leveraging analytics technologies.
• Technical experience: Minimum 4 yrs of experience Python, Snowflake, SQL, or any programming language
• Preferred Skills & Qualifications:
• Hands-on Python or R experience
• Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn
• Build & train supervised machine learning models for prediction & binary classification tasks, including linear regression & logistic regression
• Python, scikit-learn (Classical ML), PyTorch, TensorFlow (Deep Neural networks) (Libraries inside the python), Databricks, Spark and Azure ML
• Has personally developed a predictive model/advance analytics model evaluation metrics like, regression, timeseries, forecasting etc
• Strong SQL experience, Power BI or equivalent visualization experience
• Has developed AI/ML solutions.

Your benefits

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