Data Analyst (m/f/d)

ITC Infotech; Stuttgart; Hybrid; EUR 65.000 - 95.000; Vollzeit

Zusammenfassung

ITC Infotech is seeking a Technical Data Analyst to translate business requirements into technical specifications and collaborate with data modelers, data engineers, and stakeholders. The role focuses on data analysis, modelling, data migration, and cloud data ecosystems, including Azure and Databricks.

Onsite for three days per week, with strong communication and stakeholder management skills. The ideal candidate has hands-on experience with enterprise data platforms and data migration

Qualifikationen

• 5–10 years of experience in Data Analysis or Techno-Functional Data roles.
• Experience collaborating with business stakeholders and technical teams.

Aufgaben

• Perform data analysis across enterprise datasets and Oracle databases.
• Develop SQL queries to extract, validate, and reconcile data.
• Create and maintain Source-to-Target Mapping documents for migrations.
• Translate business requirements into technical specs for data platforms.
• Collaborate with Data Modelers and Data Engineers to validate data solutions.
• Define and validate conceptual, logical, and physical data models.
• Support data migration, data quality, and reconciliation activities.
• Document data mappings, rules, transformation logic, and data lineage.
• Work with Azure-based data platforms and Databricks environments.
• Facilitate stakeholder discussions and explain technical concepts.

Kenntnisse

SQL

Data Analysis

Data Modelling

Stakeholder Management

Documentation

Oracle

Tools

Databricks

Azure Databricks

Jobbeschreibung

ITC Infotech is a leading global technology services and solutions provider, led by Business and Technology Consulting. ITC Infotech provides business-friendly solutions to help clients succeed and be future-ready, by seamlessly bringing together digital expertise, strong industry specific alliances and the unique ability to leverage deep domain expertise from ITC Group businesses. The company provides technology solutions and services to enterprises across industries such as Banking & Financial Services, Healthcare, Manufacturing, Consumer Goods, Travel and Hospitality, through a combination of traditional and newer business models, as a long-term sustainable partner.

What we are looking for?

We are looking for a Technical Data Analyst with strong SQL, data analysis, and data modelling capabilities who can translate business requirements into technical specifications and work closely with data modelers, data engineers, and business stakeholders. The role is technical-first, not coding-heavy, and requires strong communication and stakeholder management skills.

The ideal candidate should have hands-on experience working with enterprise data platforms, data migration initiatives, and modern cloud data ecosystems such as Microsoft Azure and Databricks.

Working Mode: Onsite for 3days/week

Key Responsibilities

• Perform data analysis across Oracle, Supply Chain, Manufacturing, and enterprise datasets.
• Develop SQL queries to extract, validate, reconcile, and analyze data.
• Create and maintain Source-to-Target Mapping (STTM) documents for development and migration projects.
• Translate business requirements into functional and technical specifications.
• Collaborate with Data Modelers and Data Engineering teams to validate solutions and data structures.
• Define, review, and validate conceptual, logical, and physical data models.
• Support data migration, data quality, and reconciliation activities.
• Document data mappings, business rules, transformation logic, data lineage, and data flows.
• Work with Azure-based data platforms and Databricks environments to support analytics and migration initiatives.
• Facilitate stakeholder discussions and explain technical concepts to business users.

Required Skills & Qualifications

• 5–10 years of experience in Data Analysis, SQL, Technical Business Analysis, or Techno-Functional Data roles.
• Experience working across business and technical teams in data-driven environments.

SQL & Data Analysis

• Strong SQL with hands-on querying experience.
• Experience in Oracle databases and complex data analysis.
• Ability to perform data validation, reconciliation, and root-cause analysis.
• Strong understanding of Data Modelling concepts.
• Hands-on experience with:
• Conceptual Data Models
• Logical Data Models
• Dimensional Modelling (Star/Snowflake Schemas)
• Data Warehouse Design Principles
• Experience validating and collaborating on enterprise data models.

Data Migration & Mapping

• Source-to-Target Mapping (STTM) experience.
• Experience in at least one end-to-end data migration project.
• Understanding of data lineage, transformation rules, and data quality validation.
• Experience working with Microsoft Azure data technologies such as:
• Experience with Databricks, including:
• Databricks SQL
• Data processing and validation
• Collaboration with Data Engineering teams

Business & Stakeholder Management

• Ability to translate business requirements into technical specifications.
• Experience collaborating with business stakeholders, data modelers, and engineering teams.
• Strong communication and documentation skills.

Preferred Domain Experience

• Supply Chain (Manufacturing) – Highly Preferred
• Inventory Management
• Procurement
• Warehouse Management
• Logistics
• Order Management
• Manufacturing Operations

Our X-Factor

• Work ethic: You are a consummate professional.
• Aptitude: You have an innate capacity to transition from project to project without skipping a beat.
• Communication: You have excellent written and verbal communication skills for coordination across projects and teams.
• Impact: You are a critical thinker with an emphasis on creativity and innovation.
• Passion: You have the drive to succeed paired with a continuous hunger to learn.
• Leadership: You are trusted, empathetic, accountable, and empower others around you.