Data & BI Specialist

As a Data & BI Specialist at Leadtech, your main responsibilities include designing and managing all BI needs, implementing reporting processes, assisting in business decision-making, diagnosing and debugging issues in production environments, and providing ongoing reports with logical conclusions based on data analyses. You will also collaborate with cross-functional teams to fully understand business requirements.

To qualify for the Data & BI Specialist position at Leadtech, you should have at least 3 years of experience in ETL processes and 2 years of experience using QlikView or Qlik Sense. Extensive knowledge of SQL databases like SQL Server, MySQL, and PostgreSQL is essential. You should also possess strong analytical skills and excellent communication abilities to convey technical concepts effectively.

Leadtech is dedicated to your career development as a Data & BI Specialist by offering a flexible career path, personalized internal training, and an annual budget for external learning opportunities. We encourage your personal and professional growth, giving you the resources to enhance your skills in the data and analytics field.

At Leadtech, a Data & BI Specialist can expect a dynamic and engaging work environment where innovation is not just welcomed but celebrated. Enjoy the flexibility to work fully remotely or from our office in Barcelona, which is equipped with perks like free coffee, fresh fruits, and a game room, ensuring a fun and productive atmosphere.

Leadtech offers numerous benefits for Data & BI Specialists, including a competitive salary, full-time permanent contracts, comprehensive private health insurance (including dental and psychological services), 25 vacation days plus your birthday off, and a flexible work schedule. You will also have access to unique perks like restaurant tickets and nursery vouchers.

When designing a BI solution, it's essential to first gather business requirements from stakeholders, ensuring you understand their needs. After that, analyze existing data sources and define the ETL processes necessary to transform and load data into your BI tool, such as Qlik. It’s also crucial to sketch out the reporting processes and the overall architecture before implementation.

The ETL process consists of three main components: Extraction, where data is retrieved from various sources; Transformation, where the data is cleaned and formatted for analysis; and Loading, where the transformed data is stored in a database or data warehouse. Understanding each step is critical for a Data & BI Specialist to ensure data integrity and usability.

In one instance, I encountered a situation where the data being reported was consistently inaccurate due to inconsistencies in the data sources. I first conducted a thorough data audit to identify discrepancies, then implemented consistent data validation rules at the ETL stage, ensuring cleaner data entry for future reports. This collaborative approach not only solved the problem but strengthened team communication around data integrity.

I have primarily worked with QlikView and Qlik Sense, and I believe their strength lies in their ease of use for data visualization and their ability to handle large datasets efficiently. Additionally, their drag-and-drop interface makes it accessible for non-technical users to interact with data insights.

Ensuring data security in BI projects involves implementing user access controls, encrypting sensitive data, and regularly auditing data access logs. Additionally, adhering to compliance regulations, such as GDPR, is vital to protect user data and maintain trust.

I usually validate data analysis results by cross-referencing them with source data and using statistical methods to check for anomalies. Additionally, collaborating with key stakeholders for their feedback on results is critical to confirm the analysis aligns with their needs.

When communicating complex data findings, I focus on using clear visualizations and avoiding jargon. I’d present high-level insights first, followed by supporting data so that everyone can grasp the broader implications before diving into specifics.

I stay current with industry trends and technologies in BI by actively participating in online forums and webinars, attending conferences, and subscribing to industry-related publications and newsletters. Continuous learning through external courses also helps me remain proficient in emerging tools and methodologies.

Collaboration plays a crucial role in my work as a Data & BI Specialist. Working closely with cross-functional teams allows me to understand varied perspectives and requirements, ensuring that my BI solutions effectively meet the needs of the organization as a whole.

Certainly! In a previous role, I identified a trend in customer purchase behavior through my analysis, which revealed an opportunity to introduce a new product line. By presenting these insights to management, we were able to make data-driven decisions that significantly increased revenue and customer satisfaction.