Data Analyst

Job Title: Data Analyst 

Location: Europe (Remote)

Type: Full-Time

Who We Are

Oraion is an institutionally-backed startup currently in beta mode that is redefining business intelligence and automation with agentic AI. Our mission is to deliver non-obvious insights tailored specifically to each business and to automate complex processes beyond the capabilities of traditional RPA tools. By consolidating all data into a single source of truth and making it accessible in real-time via natural language conversations, we empower enterprises to make quick, confident decisions without delays in data processing or preparation. 

Objective:

We are seeking a detail-oriented Data Analyst with a minimum of 5 years of experience who will serve as a key point of contact for new clients, helping them to navigate and understand their data. The ideal candidate possesses a strong analytical mindset and is adept at interpreting complex data sets to derive meaningful insights.

Key Responsibilities:

• Serve as the first point of contact for new clients, understanding their data needs and challenges.
• Translate client data into actionable insights by developing Python and SQL transformations for our datamarts using dbt.
• Be a key contributor to the design and evolution of our data stack and product roadmap.
• Build and maintain ERD’s and mapping documentation and be able to translate source system schemas into business focussed reporting models.
• Analyze and interpret data from various sources, uncovering connections and trends across sources and domains.
• Perform Exploratory Data Analysis to identify patterns, anomalies, and insights that support strategic decision-making.
• Create detailed descriptions for master data files, ensuring clarity and ease of understanding for stakeholders.

Skills and experience

• Bachelor’s degree in Data Analytics or similar. A master’s degree is a plus.
• Minimum of 5 years of experience in data analysis with a solid understanding of data management practices in a professional setting.
• Strong experience with dbt (data build tool), bonus for experience with DLT (data load tool) and dagster.
• Proficiency in Python and SQL.
• Experience developing and querying data warehouses, strong knowledge of Kimball data warehouse design is essential.
• Excellent problem-solving skills and the ability to work with complex data sets.
• Strong communication skills, with the ability to present data insights clearly and effectively.
• Ownership: Track record of driving and delivering complete, high quality solutions to problems independently.
• Experience mentoring junior team members.
• Experience in building predictive models in python is preferred.