About
You guide clients through the complex and ever-evolving digital data landscape. Prepare yourself for challenging and complex environments, where you will play a key role in optimising the user experience for millions of visitors.
Analyse all relevant and available data, and come up with concrete action points, while taking into account the needs of the business.
Stitch data sources together You help to bridge the gap between the on- and offline data sources available in an organisation.
Segment users based on common characteristics and activate those audiences in advertising channels and email marketing tools.
Increase data literacy Help improve the data literacy of our clients by on-the-job knowledge sharing or organising formal training sessions.
You understand that clear and to-the-point data visualisations facilitate the communication of insights throughout an organisation.
Initiate growth and optimise Your role does not stop at number crunching. You contribute actively in applying and testing your optimisation recommendations.
*depends from project to project
Your profile As a Data Analyst, you
help the organisations
of our clients
make data informed decisions . It is your task to translate complex and often scattered information into clear recommendations.
You are a real
problem-solver
and will take ownership over your projects. You can work independently but master the right
communication skills
to
work effectively
across multiple
teams .
You are
intrigued
by
how people behave online
and
curious
for the
“why”
behind your observations. Next to that, you
keep up
with the
latest developments
in the digital marketing sphere and love to get your hands dirty and experiment with
new technologies or tools .
You have
at least 3 years of experience
as a Data Analyst with a
strong knowledge
of
SQL
and
Power BI , as these will be essential tools in your day-to-day work.
We do expect that you have a
strong
affinity
with
marketing
and
digital
and that you are familiar with the practice of
web analytics .
At Stitchd, you will get the chance to work on
complex projects
for well-known brands and with a high reach. And at the same time, you will
join a
small ,
but highly experienced team
of measure professionals.
We find it important to
share knowledge
with
each other . This allows you to develop at lightning speed. But we also expect an
active contribution from you !
Every member of the team will
contribute
in his or her own way
to elevate
the
knowledge
level of the entire
team : by giving trainings, coaching junior colleagues, creating documentation, developing internal projects, etc.
For this role, we are looking for
candidates based
in
Flanders .
"Working as a data analyst for personalised user experiences across Europe is incredibly rewarding. My analyses and recommendations truly make a difference."
Data analyst
Experience with digital analytics tools (Google Analytics, Adobe Analytics, Snowplow, Piwik, …).
Experience with tag management solutions (GTM, Launch, Tealium, …).
Experience with Python,…
Experience with different reporting tools besides Power BI (Tableau, Looker Studio,…).
Experience with data platforms (Databricks, Google BigQuery, Snowflake, Azure Data Factory, …).
Experience with customer data platforms (Tealium Audience Stream, Segment, AEP, Hightouch, Census, …).
Experience with email or customer engagement platforms (MailChimp, Hubspot, Salesforce Marketing Cloud, Klaviyo, Voyado, Bloomreach, …).
Experience in public speaking and/or blogging.
What we offer
An attractive salary based on your experience and contributions to the team.
Some interesting benefits such as a company car with fuel card, MacBook Pro, hospitalisation insurance, pension plan, etc.
Flexible working hours: arrange your day as it suits you best.
A personal development trajectory with both in-house training and a budget for conferences and external training or workshops.
Opportunities to initiate new and creative initiatives.
Challenging projects for interesting Belgian based companies.
Contract of indefinite duration.
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Languages
- English
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