FAQs
What is the primary focus of the Data Analyst position?
The primary focus of the Data Analyst position is to support the business by retrieving and cleansing customer and third-party master data, developing and implementing dashboards, reports, and tools, and aiding in cost reduction initiatives based on accurate data.
What qualifications are required for this role?
The required qualifications for this role include a Bachelor/Master degree in engineering, data science, IT, or a related field. Candidates with other backgrounds can be evaluated if they demonstrate wide technical skills.
What software expertise is essential for applicants?
Applicants must have profound working knowledge of Microsoft Power BI, coding skills in Python and SQL, and strong analytical abilities. Excellent MS Office skills, especially in MS Excel (VBA), are also essential.
Is previous experience with BI tools necessary?
While not required, having professional experience with additional data handling and BI tools such as Tableau, QlikView, or Alteryx is desirable.
What specific tasks will the Data Analyst be responsible for?
The Data Analyst will be responsible for implementing Business Intelligence solutions, creating KPI dashboards, developing ad-hoc reports, automating data management tasks, and supporting ongoing IT projects and process redesigns.
Is proficiency in English required for this role?
Yes, proficiency in spoken and written English is required for this role.
What are the desirable attributes for a candidate applying for this position?
Desirable attributes include experience in computational statistics, knowledge of artificial intelligence, experience with APIs for data integration, and strong communication skills.
Will there be opportunities for internal development?
Yes, Deutsche Post DHL Group prioritizes employee development and offers diverse job opportunities across the Group.
What is the work environment like at the DSC Valencia Center?
The work environment at the DSC Valencia Center is described as fast-paced, collaborative, and aligned with a Business Intelligence agenda focused on logistics.
How does the company prioritize data quality?
The company ensures that all Business Master Data is accurate, congruent, and reliable by implementing data cleansing processes, automation of master data routines, and data quality checks.