Data Operations Analyst (m/f/d) - Data Science

About the Role

Are you excited about data quality and looking to support and improve Data Science applications in production? As Data Operations 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 accurate, fits the conventions, and can be used in the analytics models. You will also monitor data quality and consistency across our databases.

Responsibilities

• Ensure data quality, consistency and traceability across systems in daily data science operations
• Monitor and address production data issues. Conduct root cause analysis, resolve and report data issues in collaboration with key stakeholders across teams
• Collaborate with the central data quality hub and ensure data integrity and consistency by implementing data quality checks
• Support the data engineering team in onboarding data. This includes data discovery, mappings, implementations, and maintenance of download and import processes
• Understand data concepts. Suggest and implement data model changes if necessary
• Support the commodity market analyst team in performing data analysis tasks
• Perform accurate and thorough testing of data science models with relevant documentation

Qualifications:

• Minimum of 3 years of experience around data operations, data quality management, or data modelling
• Strong experience working with relational databases and SQL
• Proficient in Python, preferably experience with sqlalchemy, ORM and data quality tools (e.g. Soda)
• Fluent in English
• Constructive and collaborative problem-solving communication
• Quick comprehension of new problem domain fields with an analytical approach
• Adept at both big-picture and detail-oriented thinking

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

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

About ICIS

ICIS is part of Risk Solutions Group (RSG) a division of RELX Group, a FTSE 20 company with revenues of $12 billion in 2024 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.

Related fields: Data Modelling, Data Operations Management, Workflow Optimisation, DevOps, Operations , Data Science, Business Analytics, Process Analysis, Technical Support.

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