The Team: As a part of data enrichment team, you will perform data related activities such as data clean-up, data analysis, data mining and data wrangling. You will be responsible to deliver and maintain accurate, complete and timely data sets while taking into account the business units’ global interests and needs internally & externally.
The Impact: This role has a core impact to our business as you will be responsible for ensuring the integrity of our data. This role serves as the backbone of our data team catering to a number of different products and you will contribute to finding, investigating, resolving and reporting data issues as well as developing new data delivery processes and pipelines.
What’s in it for you: As a data expert, you will support the integrity and comprehensiveness of the data sets by utilizing internal & external public research sources such as government & regulatory documents, stock exchanges, industry journals, analyst reports as well as information databases and our internal research tools to collect, summarize, and synthesize relevant information. Hence, you will gain exposure to different reports of covered Industries, while having frequent interaction with global team to learn the industry dynamics and create a symbiotic work culture.
Responsibilities:
Undertake pre-processing of structured and unstructured data
Create and maintain data quality processes
Create ETL processes to move large amount of data (SQL, Informatica)
Maintain existing and create new data processing pipelines in Pyspark
Analyze large amounts of information to discover trends and patterns
Propose data solutions and strategies to business challenges
What we’re looking for:
Basic Qualifications:
5 to 8 Years of experience in data position
Data querying, data analysis, data wrangling as well as ability to query/explore/link datasets.
Has general familiarity with various DB technologies and philosophies (such as relational, columnar, NoSQL technologies)
Coding skills in Python
Strong communication, stakeholder management, and influencing skills
Comfortable working in a dynamic, fast-paced environment
Agile (scrum) experience
Bachelor's degree in IT/data/maths/statistics or equivalent experience is required
Working experience with Pyspak and/or Informatica is an advantage
What we offer:
Working with the newest technologies
Job position matched to your experience and expectations
Recharge - is S&P Global’s flexible time-off approach under which there is no prescribed maximum amount of time off you can take
Global Wellbeing Support - S&P Global will reimburse you each year, up to 800 GBP for wellbeing-related activities, for expenses that help you achieve your own healthy lifestyle – mind, body and spirit.
Five days off for charity/volunteering
5 additional Wellbeing days in year
Free day on birthday and work anniversary
Paid parental leave of 26 weeks for all parents
10 days of fully paid sick leaves
Options to work from home
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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.
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20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
Job ID: 292847
Posted On: 2023-10-17
Location: London, United Kingdom