Offer summary

Qualifications:

Undergraduate degree or A-Level in Computer Science or a related field, or equivalent work experience., Strong understanding of financial services business concepts and key metrics., Knowledge of mathematical and statistical concepts and their applications., Strong analytical skills with the ability to provide insights and problem-solving solutions..

Key responsabilities:

Work with stakeholders to understand business problems and current data landscapes.

Analyze large, unstructured datasets and build advanced SQL scripts for data connection and validation.

Identify data anomalies and quality issues, ensuring proper handling or flagging.

Develop reports summarizing analytical findings and interact with various organizational levels.

We are a global digital transformation company that puts organizations at the forefront of innovation, by bringing together talent, knowledge and technology. With our digital solutions, we lead people and organizations around the world on their transition towards the future. Our 4,900 experts in 26 countries across Europe, America and Asia work alongside our clients, partners and key industry players to deliver best-in-class digital innovation that shapes the landscape of banking, retail, insurance, public administration, utilities, telecommunications and media sectors. Our approach is based on mindful technology, through which we create positive environments and meaningful opportunities. Transformative. Creative. Honest. Vibrant. We are VASS.

Job description

Job Responsibilities / Role

The difference you'll make:

Work with stakeholders to understand the business problem and the current landscape.

Collaborate with others and analyze large, unstructured datasets to identify relevant data.

Build advanced SQL scripts to connect data from across the data lake for analysis and validation.

Identify data anomalies and quality issues, ensuring proper handling or flagging.

Choose and apply appropriate analytical and statistical techniques to detect trends and forecast performance.

Work with architecture and technical (engineering) teams to develop automated solutions for data and insights.

Operate in an agile manner, aligning outputs with stakeholder expectations and delivering on time.

Develop reports that clearly summarize analytical findings for stakeholders.

Interact with various levels within the organization, from entry-level employees to senior management.

Mandatory Skills:

Experience translating business problems into data solutions, using appropriate tools and techniques.

Strong understanding of financial services business concepts and key metrics.

Knowledge of mathematical and statistical concepts and their applications.

Ability to research and report on beneficial data usage opportunities across different environments.

Strong analytical skills, including:

Providing observations and insights.
Problem-solving and identifying reporting solutions proactively.
Using data to create compelling narratives for stakeholders.
Understanding the change management process.

Nice-to-Have Skills:

Innovative management information tools and systems.
Governance and compliance policies (e.g., data security and records management).
Experience leading the development of advanced analytical scripts (SQL, Python, Impala/Hive/Snowflake).
Undergraduate degree or A-Level in Computer Science or a related field, or equivalent work experience supported by professional certifications/licenses (including STEM fields).

Required profile