Hack the port

Did the hackathon of last weekend taste like more? Then we have good news for you because there’s “Hack the port” in Antwerp 9/12 – 11/12.                                Info&registration: http://logisticsofthefuture.be/

port

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Job @ Medialaan: Data Quality expert

Are you passionate about Data Crunching and keen on having business impact?

We are looking for a talented Data Quality Expert!

You will be part of our dynamic Research & Marketing team and report to the CRM manager of our central unit.

The Central CRM unit is a department in the organization that gives strategic and operational advice in how to build a trustworthy 2-way relationship with our customers. Our unit is charged with supporting a wide range of internal users and we help them to take important business decisions and to steer the strategy of the company.

Your Challenge:

Set up a Data Governance program together with all stakeholders (IT, Marketing, Sales…) that describes the establishment and deployment of roles, responsibilities, policies, and procedures concerning the acquisition, maintenance, dissemination and disposition of our data.

You main tasks are:

  • Identify, assess, fix, document, and communicate potential quality issues in the way data are collected, stored, processed, or used.
  • Understanding the data, looking for discrepancies, inconsistencies, data redundancy and taking steps to solve data deficiencies.
  • Be responsible for the enrichment of our data to create added value.
  • Continuous Monitoring output data quality through KPI dashboards and reports and make recommendations based on the outcome.
  • You are the person that leads all data quality related projects, which includes writing business requirements, managing the scope, budget and risks etc.
  • You have a crucial role in helping the organization to understand the value and impact of good data quality.

 

Additionally you will:

  • Setup business and validation rules together with stakeholders that govern our data.
  • Be responsible for business processes that create or change data.
  • Automation of solutions for data quality issues associated with all sorts of data (customer data, mobile data, online data, financial data etc.).
  • Design, implementation and testing of (automated) DQ processes; for example data cleansing operations or deduplication.
  • You contribute to the continuous improvement of our Data Governance methodology to keep it tuned with technology evolution (unstructured data, cloud, data privacy, …)
  • You act in a cross-functional team and work closely with our IT department.

 

Your profile: 

  • You have a passion for information management and you are challenged by the data struggle many companies are facing at the moment. You have good analytical skills and you are able to communicate both in business as well as in technical language.
  • You have at least 3 to 5 years’ experience as an analyst in a Data Quality and/or Business Intelligence environment.
  • You possess a basic understanding of data models and architecture, data governance/data management concepts, approaches, methodologies and tools.
  • You are good in translating analytical results into business concepts.
  • You have strong programming skills, preferably in SQL.
  • Knowledge of Tableau is also a plus.
  • You have strong communication skills and like to take initiative.
  • You like to work independently, to take ownership and you are accountable.
  • You have a solid understanding of the business and the importance of Data Quality.
  • You have excellent communication skills.
  • You are an objective and diplomatic person that likes to work in a team.
  • You are solution-minded.

 

Intrigued? Please send your motivation letter and resume to Sharon.degens@medialaan.be Maybe you can join our new CRM unit and build a great data story at MEDIALAAN.

Why di-Academy is organizing a data science bootcamp

bootcampOn the Data Innovation summit in Brussels, I announced that di-Academy is organizing a data science bootcamp. Afterwards many people asked me why it is called “bootcamp”, so let me explain this here.

A bootcamp is a type of group physical training program conducted by gyms, personal trainers, and military personnel in order to get fit and ready to tackle physical challenges.

The data science bootcamp will prepare young graduates to be able to solve all kinds of data related challenges.

Members of fitness boot camps are usually tested for fitness on the first day and then retested at the end of the camp, which usually runs for between 4 and 6 weeks.

Before students can enroll in the data science bootcamp, they will be selected based on their motivation and skills. As classes are scheduled only on Mondays and Tuesdays, the datascience bootcamp will span 12 weeks. At the end of the 12 weeks, students will have to present a business case they have worked on.

runningBootcamp training often commences with dynamic stretching and running, as these are the basics for a good physical condition.

The data science bootcamp will kick off with different programming languages and an introduction to statistitics, as this is the backbone for datascience. A datascientist who doesn’t know how to code, seems like a soldier without arms to me.

weightParticipants to a fitness bootcamp do bodyweight exercises like sit ups, push ups and squats, but they also use objects to lift, and pull rubber TRX straps. They have a very varied program so they don’t get bored and persevere until the end.

In the data science bootcamp there is also a very diverse schedule with lots of different business cases. In order to solve these business cases, different technological platforms and tools will be available for the students.

yogaNext to all the heavy physical activities in bootcamps, there is also room for stretching, nutrition advice, yoga and meditation.

Likewise, the data science bootcamp is not only about acquiring technical skills, but also about developing soft skills like teamwork, communication, presentation and storytelling.

coachYou may wonder why people are so crazy to voluntarily take part in a bootcamp. It’s because bootcamps provide social support. This (and also the drill instructor of course) can push people a little bit further than they would normally push themselves in the gym alone.

networkI’m convinced that it is impossible for one to obtain all data science skills and techniques that are scheduled on the bootcamp by himself. The qualified trainer will bring a lot of added value to the students by sharing his experiences and best practices with them. Furthermore, students will have the opportunity to work on their own business case while a coach is available to answer their questions and help them if they are lost in all the bits and bytes.

Do you want to know more about our data science bootcamp? Have a look at di-academy.com/bootcamp/ or drop an e-mail to training@di-academy.com