Data Analyst - World Refinery Database
With S&P Global in Hyderabad - INMore jobs from S&P Global
Posted on July 27, 2020
About this job
Job type: Full-time
Role: Data Scientist, System Administrator
postgresql, sysadmin, python
S&P Global Platts
The Role : Oil Data Analyst, World Refinery Database
The Hyderabad team is an important part of Analytics Operations, which owns the data, methodologies, and models that feed our Analytics reports and provides actionable insights for our clients who require transparency into trade flows to support making decisions.
Data is in demand, and our clients value our data driven approach to commodity market research and analysis. You will primarily be focused on supporting the maintenance and improvements to the World Refinery Database.
What’s in it for you:
Exposure to global commodity markets and opportunity to learn deep details about the dynamics of various energy markets
Work with a globally diverse team of analysts
Participate in advancing Platts Analytics to the next phase of delivering an end to end global commodity data set
Assist in the maintenance and expansion of Platts Analytics World Refinery Database, monitoring new capacity developments and cross-checking information on specific refineries.
Work on refinery CDU and downstream unit outages.
Support the monthly Global Refining Outlook Report and weekly outage summary.
Work on development and implementation of enhances to the product, including gas-to-liquids, oil sands, and heavy oil upgrading projects.
Conduct detailed research on specific refineries or refining companies. Track ownership changes and investment cost trends.
Analyze trends in refinery operations and compare to capacity.
Support assessment of changes in refined product quality worldwide and refineries ability to meet standards.
Examine changes in the worldwide olefins industry with particular regard to new capacity, feedstock flexibility, and demand growth.
Prepare graphics and tables for ongoing reports, meetings, and seminars.
Handle routine client ad-hoc requests and questions.
What We’re Looking For:
A high level of mathematical ability
Basic understanding of refinery operations
5+ years of strong interest in energy markets and working with data
Strong knowledge of Microsoft SQL Server and PostgreSQL experience
Proven experience working with Data and Data pipelines with good knowledge of Analytics skills
Strong Experience working on data using scripting languages like Python or MATLAB
Skilled at identifying improvements and efficiencies
Moderate to advanced Excel skills
Accuracy and attention to detail
Strong communication skills, both written and verbal
Excellent time management skills, consistently adheres to deadlines
Knowledge about Machine Learning
Understanding of the software development cycle and version control
Experience working in a corporate environment
Experience with European or North American Natural Gas pipeline nominations data and Refinery
About S&P Global Platts
At S&P Global Platts, we provide the insights; you make better informed trading and business decisions with confidence. We’re the leading independent provider of information and benchmark prices for the commodities and energy markets. Customers in over 150 countries look to our expertise in news, pricing and analytics to deliver greater transparency and efficiency to markets. S&P Global Platts coverage includes oil and gas, power, petrochemicals, metals, agriculture and shipping.
S&P Global Platts is a division of S&P Global (NYSE: SPGI), which provides essential intelligence for individuals, companies and governments to make decisions with confidence. For more information, visit http://www.platts.com.
S&P Global is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or any other basis prohibited by federal, state or local law. Only electronic job submissions will be considered for employment.
20 - Professional (EEO-2 Job Categories-United States of America), ANLYTC202.1 - Middle Professional Tier I (EEO Job Group)