
Data Services Specialist
21 hours ago
The data services team supports clients in utilizing datasets post-purchase through various platforms. Their role involves integration, troubleshooting, outages, migrations, usage review, and client retention efforts.
We strive to deliver prompt, technical, and forward-thinking service, guided by our core values of excellence, growth, collaboration, and integrity.
About the Role:
The data services team provides frontline support and acts as an escalation point for unresolved queries, assisting clients and internal stakeholders globally.
- Collaborate with the data services manager to prioritize workflows and meet/exceed expectations.
- Develop best practices for post-sales support of datasets, working with Commercial, Product, and Technology teams.
- Work with management and regional teams to optimize work processes.
- Reduce outstanding service requests in volume and time.
- Deliver positive customer experiences, including handling calls during peak periods.
- Monitor dataset usage proactively through internal tools.
- Design and develop API integration scripts and guides for common programming languages.
- Support API and web portal design, and self-service tools.
- Manage customer issues proactively and serve as the first escalation point.
Required Skills:
- Bachelor's degree in Computer Science, IT, Engineering, or equivalent.
- Experience in application support.
- Excellent customer support skills, both written and oral.
- Technical analytical skills, troubleshooting, root cause analysis.
- Knowledge of RESTful APIs (HTTP, OData).
Preferred Skills:
- Understanding of commodity markets.
- Proficiency in Python, writing clean code, troubleshooting client code.
- Knowledge of SQL, Cloud Delivery Channels (Data Lake, Databricks, Snowflake, AWS).
- Familiarity with AI Large Language Models (LLMs), developing AI agents, working with structured datasets for AI.
What's In It For You?
Our purpose is to catalyze progress through information, imagination, people, and technology. We aim to transform data into essential intelligence, helping organizations navigate risks and seize opportunities.
Benefits:
- Health & Wellness: Healthcare coverage.
- Flexible Downtime: Generous time off.
- Continuous Learning: Resources for career growth.
- Invest in Your Future: Competitive pay, retirement plans, education support.
- Family Perks: Benefits for partners and children.
- Additional Perks: Retail discounts, referral rewards.
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