Data Analytics Advisor

ExxonMobil; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

ExxonMobil in Bengaluru is seeking an Analytics Advisor to deliver high-quality data services, build dashboards and standard reports using internal and external datasets, and drive automation across business processes.

The role emphasizes continuous improvement, collaboration with multiple departments, and hands-on development with SQL, Python, Snowflake, and BI tools to enable timely, accurate insights for decision makers.

Qualifications

• Bachelor's degree in Engineering required.
• 4+ years of experience with Python, Snowflake, SQL or related programming languages.
• Experience in oil and gas industry and delivering standard reporting services preferred.

Responsibilities

• Automate reporting processes to improve efficiency.
• Develop dashboards and standard reports using internal and external datasets.
• Design, test and deploy automation solutions.
• Collaborate with multiple departments to gather requirements.
• Provide training and ongoing support for automation tools.
• Stay updated with latest trends in automation technologies.
• Regularly review and update automation processes for efficiency.
• Troubleshoot issues in automation systems.
• Drive continuous improvement to centralize business and reporting processes.

Skills

SQL

Python

Snowflake

Power BI

Machine Learning

CI tools

Data automation

Education

Bachelor's degree in Engineering

Tools

NumPy

scikit-learn

PyTorch

TensorFlow

Databricks

Spark

Azure ML

Job description

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.