S&P Global Hiring for Sr Specialist, Quantitative Analysis at Gurgaon, India Full Time

S&P Global Commodity Insights

The Role: Sr Specialist, Quantitative Analysis

Grade/Level ( relevant for internal applicants only ): 9

The Location: Gurgaon

The Team: The Commercial Intelligence team sits within the Commercial Strategy group and is responsible for building complex and insightful business intelligence tools. We go beyond reporting and visualization. We create data driven analytics that enables S&P Global Commodity Insights to inform and develop insightful strategies to deliver growth and customer engagement.

The Impact: The Sr Specialist, Quantitative Analysis is a critical role that sits in the center of the team and is responsible for defining and executing our data management and modelling processes. You will work across a fast array of commercial datasets, typically work on numerous projects at any one-time, and iterate with many stakeholders (within the team and more broadly). The role leverages technology and best practice to build and continually optimize our data management strategy. Robust data management sits at the forefront of what we do, and this role ultimately ensures that the BI tools we build are both efficient and effective in supporting the commercial strategy for Commodity Insights.

What’s in it for you:

• Highly technical role leveraging multiple applications

• Direct exposure to senior commercial leaders

• Global role working with teams from different regions and Commodity Insights

Responsibilities:

• Act as an expert and key resource for ETL to support ongoing development and advancements to our BI reports, including complicated joins, and conditional columns, and improving the overall operational efficiency of the team using cloud capabilities wherever possible.

• Define data requirements with stakeholders and develop data models using cloud capabilities and data virtualization

• Project manage the implementation of the core data management, processing, and modeling

• Develop and maintain ongoing data strategy for the team, based on new technologies and best practice methods

• Define and implement a new predictive analytics strategy to improve the value of data, deriving predictions for key commercial workflows such as pipeline management and predicting cancellations, defined by end-user workflows and needs.

What We’re Looking For:

• A degree in statistics, computer science, mathematics, economics, or a similarly quantitative discipline. Additional education is preferred

• 5 or more years of work experience, with a minimum of 3 years of relevant data modeling and business intelligence (BI) experience

• Superior data management skills and application experience, including experience/knowledge of natural language processing (Python is preferable), data virtualization and ETL tool (Denodo is preferable), and database applications (Snowflake/AWS is preferable)

• Expert knowledge of Denodo (advanced with experience in writing advanced queries including joins, modeling, VCS control, query optimization, scheduler)

• Strong experience in developing reports and dashboards using Power Pivot, Power Query, and DAX

• Understanding of core commercial systems (e.g., SAP, Salesforce) and B2B subscription-based business model is preferable

• Demonstrated creative problem-solving, proactive nature, and critical reasoning abilities

• Excellent interpersonal and communication skills (both written and verbal in English)

• Enjoys working in an agile team environment, juggling multiple projects and interfacing with different colleagues/teams, whilst creating innovative solutions

• Excellent organizational skills with the ability to work under pressure to achieve set deadlines and with high attention to detail

• Availability for occasional work outside normal business hours

Flexible Working (optional)

We pride ourselves on our agility and diversity, and we welcome requests to work flexibly. For most roles, flexible hours and/or an element of remote working are usually possible. Please talk to us at interview about the type of arrangement that is best for you. We will always try to be adaptable wherever we can.

Return to Work

Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative (link to career site page when available), we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.

About Company Statement:

S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.

S&P Global Commodity Insights enables organizations to create long-term, sustainable value with data and insights for a complete view on the global energy and commodities markets.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to:  EEO.Compliance@spglobal.com  and your request will be forwarded to the appropriate person. 

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf  describes discrimination protections under federal law.

20 – Professional (EEO-2 Job Categories-United States of America), ANLYTC202.1 – Middle Professional Tier I (EEO Job Group)

Job ID: 287055

Posted On: 2023-05-22

Location: Gurgaon, Haryana, India