Data Integration and AI Analyst
About the company
Join HDI Seguros and transform data into solutions that drive the business!
Be part of HDI Seguros and contribute to the development of innovative digital solutions that connect data, technology, and artificial intelligence to transform the commercial experience!
Your tasks
You will be responsible for connecting platforms, optimizing commercial processes, and developing technological solutions that facilitate decision-making, improve operational efficiency, and drive the digital transformation of the business.
Platform and data integration: connect, manage, and maintain integrations between Salesforce Financial Services Cloud (FSC), Marketing Cloud, and internal and external data sources.
Management of data connections and services: coordinate with the responsible teams the configuration, testing, monitoring, releases, availability, and incident resolution of connections and integrations.
Analysis of commercial needs: identify and translate the requirements of commercial areas into actionable data solutions that facilitate information visualization and decision-making.
Functional and technical support: provide assistance to other areas regarding the use of Salesforce Marketing Cloud, journey management, automations, and messaging channels, considering commercial needs and objectives.
Automation and artificial intelligence: identify commercial and operational processes susceptible to automation, and develop solutions through artificial intelligence agents, such as Agentforce, or integrations with large language models (LLM), reducing the operational load and manual intervention.
Analytics and digital tracking: enable the consumption of data from the commercial ecosystem in agent channel applications and develop or enable Power BI dashboards that integrate sources such as Google Analytics 4 (GA4), to facilitate digital performance tracking and results attribution.
Design of digital solutions: gather functional and technical requirements with commercial areas, create wireframes and mockups, and propose database structures aligned with business needs.
Communication of results: prepare executive presentations that translate analytical findings and technical progress into clear, structured, and actionable information to facilitate decision-making.
Project monitoring: coordinate activities with data, development, architecture, and security teams; follow up on deliverables, validate progress, and ensure that solutions comply with technical standards and established commercial objectives.
Requirements
At HDI Seguros, we look for talent with analytical thinking, technological knowledge, and a commercial orientation to strengthen our digital ecosystem. If you are passionate about data integration, process automation, Salesforce, and artificial intelligence, this opportunity is for you.
Computer Systems Engineering, Data Analysis, Information Technology, Software Development, Digital Environments, or a related degree.
1 to 2 years of experience in digital transformation, Salesforce platform administration, data integration, or process automation.
Knowledge of Salesforce, particularly in Financial Services Cloud (FSC), Marketing Cloud, and Agentforce.
Knowledge of SQL, JavaScript, AMPScript, Server-Side JavaScript (SSJS), Apex, and REST APIs consumption.
Experience or knowledge in systems integration, data analysis, and process automation.
Advanced English.
Desirable: Salesforce certifications, such as Administrator, Marketing Cloud, or Financial Services Cloud, as well as diplomas or specialized courses in data analytics.
Desirable: experience in the insurance or financial sector.
Skills Proactivity and self-management: ability to work autonomously, prioritize activities, propose improvements, and focus on efficiency and results.
Technical knowledge and analytical thinking: ability to use development and integration tools, automate processes, and connect systems and data sources.
Commercial orientation and executive communication: ability to translate complex technical concepts into clear language for non-technical audiences, linking data findings with business needs and decisions.
Problem solving: ability to identify root causes, evaluate alternatives, and execute viable solutions with available resources.
Interdisciplinary collaboration:
- ability to work with data teams
- development
- architecture
- security
- commercial areas
Results orientation: focus on data quality, operational efficiency, and generating value for the business.
Other
Equal opportunity conditions are offered regardless of your ethnic origin, race, religion, gender (sex), sexual orientation, age, special physical conditions, and ideology.-Requirements- Minimum education: Higher education - Bachelor's degree 1 year of experience Keywords: analyst, data