Data Analyst

We are looking for a Data Analyst to drive the development of the bank's information layer and deliver direct value to the business and management. Your mission will be to transform data - both structured and unstructured - into useful insights that enable a better understanding of the business, the market, and our customers, as well as identifying opportunities for improvement and growth.

The selected candidate will join a cross-functional team and play a key role as an end-to-end analyst, combining ad-hoc analysis, process automation, KPI definition, dashboard building, and active involvement in migrating our processes and projects to the cloud.

This role is ideal for someone with initiative, strong analytical skills, curiosity, and a drive to take on a broad and impactful position within the team.

o Managing client relationships (management and business areas)
o Regular liaison with management and business areas to understand needs and translate them into data-driven solutions.
o Prioritizing and planning recurring projects and requests.
o Managing expectations, monitoring, and communicating results.

o Executing projects covering the full data analysis cycle
o Gathering business information requirements
o Exploring data in Datapool and/or external sources. From data search to processing to generating the necessary information
o Proposing and generating KPIs
o Building reports / analyses to present information
o Communicating results to clients
o Designing, developing, maintaining, and automating processes for recurring follow-ups or one-off requests.

To perform these functions, the following will be required:
● Technical knowledge to carry out the reports requested by the business
● Analytical skills to understand the business logic and propose new ideas or strategies that help drive it forward
● Strong communication and interpersonal skills, as well as creativity and attention to detail in visualizing and communicating information.

● Degree in science or engineering (STEM).
● Strong data analysis and management skills, using analysis tools and database exploitation: advanced SQL, proficiency in Data Discovery and Statistical Analysis, Python, GIT, Airflow. Training in programming languages.
● Building dashboards with visualization tools such as QlikSense, Looker, etc.
● Advanced proficiency in office tools (Excel, PowerPoint, etc.).
● Knowledge of AI.

VALUED:
● Experience working on or analyzing customer experience (NPS, touchpoints, etc.)
● Prior experience with Google Cloud or other cloud platforms (AWS, etc.).
● Prior experience in banking within analytics/BI departments.

KEY SKILLS:
● Managing large volumes of data
● Managing information projects (relationships with clients and suppliers)
● Ability to translate business requirements into technical specifications
● Results-oriented, enthusiastic, committed, and collaborative
● Flexible profile, adaptable to change
● Strong communication and interpersonal skills
● Business and customer experience focus
● Defining and tracking commercial KPIs