About ICIS
ICIS is part of Risk Solutions a division of RELX Group, a FTSE 20 company with revenues of $11 billion in 2023 and an employee base of over 30,000 people across 40 countries. ICIS make some of the world’s most important markets more trusted and predictable by providing data services, thought leadership and decision tools. We exist to help businesses in the energy, petrochemical and fertilizer industries make strategic decisions, mitigate risk, improve productivity, and capitalise on new opportunities. Thousands of decisions are taken across supply chains every day using our intelligence and we make this possible through a global presence that delivers the targeted, local insights customers need to achieve growth in this new world of meaningful data. Shaping the world by connecting markets to optimise the world`s valuable resources. With a global team of more than 700, ICIS has employees based in London, New York, Houston, Karlsruhe, Frankfurt, Milan, Mumbai, Singapore, Guangzhou, Beijing, Shanghai, Dubai, Sao Paulo, Seoul, Tokyo and Perth.
About the Team
Our Data Science team in our Analytics office in Karlsruhe provides forecast models, interactive analytical tools and predictive scenarios to market professionals. We apply a wide range of advanced analytics techniques from economics, statistical to machine learning & AI, optimisation and agent-based models on internally and externally sourced expert reviewed data. We predict future developments of prices, supply, demand and trade flows for the commodity markets we cover. By integrating our market experts with our models as “humans-in-the-loop” we bring together the best of two worlds and achieve best results.
About the Role
Are you an experienced Analyst and looking to support and improve Data Science applications in production? As Senior Data Analyst for Data Science at ICIS, you will join our experienced Data Science team of 25 and enrich our operational capability to maintain scaled human-centric Data Science models and model interfaces. The purpose of your role is to support our Data Science team by providing high-quality data that is compliant to their requirements. Starting with data discovery and onboarding, you will make sure that the data is error-free, fits the conventions, and can be used in the analytics models. You will also monitor data quality and consistency across our databases.

Key Accountabilities/Responsibilities:

• Contribute to and manage daily data science operations through a data lens. Monitor, identify, investigate, resolve, and report operational data issues to both internal and external data platform users
• Enable the commodity market analyst team to find and use relevant data for analysis tasks
• Collaborate with stakeholders across teams to resolve production problems
• Analyze data quality and provide appropriate solutions to quality impediments
• Extract data from multiple sources with accuracy and consistency across internal systems
• Guide the data operations team in onboarding new data with feedback and support. This includes data discovery, mappings, implementations, and maintenance of download and import processes
• Suggest and implement data model changes for key data concepts if necessary
• Proactively identify and pursue opportunities to improve processes
• Document testing of data science models

Key Skills/Experience Required:
-

Minimum of 3-5 years of experience with data analysis, operational analysis and release management

• Experience working with relational databases and SQL
• Basic coding knowledge, preferably in Python and desire to deepen own Python knowledge
• Fluent in English
• Constructive and collaborative problem-solving communication
• Quick comprehension of new problem domain fields with an analytical approach
• Affinity to data and data visualisation
• Adept at both big-picture thinking and detail-oriented thinking

Behaviours:
-

Reliable operator

• Team oriented, collaborative, supportive
• Agile, value-oriented mindset
• Curious about everything, willing to ask questions and challenge the status quo to provide better customer, employee, and business outcomes
• Obsessed with continuous learning and getting better at what we do with the ability to embed this within your team

We offer:

• A highly stable job environment as part of a company with 30,000 employees
• A vibrant working environment in a dynamic, inclusive, ambitious and committed team which drives Data Science forward and keeps a start-up like atmosphere
• Flexibility, loyalty, empowerment, and trust as part of our corporate culture
• Benefits, e.g. fitness studio, 20 days work from anywhere and 2 days additional leave for social engagement

At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form:
https://forms.office.com/r/eVgFxjLmAK
, or please contact 1-855-833-5120.
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• Contribute to and manage daily data science operations through a data lens. Monitor, identify, investigate, resolve, and report operational data issues to both internal and external data platform users
• Enable the commodity market analyst team to find and use relevant data for analysis tasks
• Collaborate with stakeholders across teams to resolve production problems
• Analyze data quality and provide appropriate solutions to quality impediments
• Extract data from multiple sources with accuracy and consistency across internal systems
• Guide the data operations team in onboarding new data with feedback and support. This includes data discovery, mappings, implementations, and maintenance of download and import processes
• Suggest and implement data model changes for key data concepts if necessary
• Proactively identify and pursue opportunities to improve processes
• Document testing of data science model