Senior Data Analyst (m/f/d)

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Sector: Audit, Data Science
Role: Senior Executive
Contract Type: Permanent
Hours: Full Time

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 makes 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 capitalize on new opportunities.

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, optimization, and agent-based models on internally and externally sourced expert-reviewed data.

About the Role
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 with their requirements. Starting with data discovery and onboarding, you will ensure 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.
• 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 visualization.
• 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.
• Obsessed with continuous learning and getting better at what we do.

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.
• 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.