Data Analytics Advisor

Role & responsibilities

What role you will play in our team

We are seeking to look for Analytics Advisor to provide support for high-quality, accurate, and timely data delivery services. The ideal candidate will utilize internal and external datasets to provision dashboards and standard reports. This role involves implementing transformation through continuous improvement to streamline, automating business processes.

The role will be based in Bengaluru, Whitefield and is a full-time office-based position.

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.