Data Analyst

Coforge; Utrecht; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Coforge in Utrecht is seeking a Data Translator / Data Engineer to join a multidisciplinary team that works on customer and campaign data. You translate marketing needs into technical logic and build data points for marketing systems using SQL, Databricks and DBT.

You will act as a bridge between marketing and data professionals, defining which customer attributes are required and translating them into queries, data models and data pipelines.

Competenze

• Higher professional education level of thinking and working.
• At least 3 years of relevant experience with SQL or a comparable programming language.
• Knowledge of data modelling and data engineering.
• Experience with Databricks and DBT.
• An understanding of marketing and the work of a marketer.
• The ability to translate functional questions into technical logic.
• Strong analytical and logical thinking skills.
• Good command of English.
• An open and collaborative attitude.

Mansioni

• Translate marketing questions into customer attributes, data points and technical logic.
• Build queries and data models using SQL, Databricks and DBT.
• Ensure marketing teams have the right data to create relevant offers.

Conoscenze

SQL

Databricks

DBT

Data modelling and data engineering

Data quality and data management

Marketing technology

PySpark and Python as additional

Formazione

Higher professional education level of thinking and working

Strumenti

Databricks

DBT

PySpark

Descrizione del lavoro

Type : Permanent

Language Requirement: Dutch and English (Both Fluent)

• Data Translator / Data Engineer | Data and Marketing Technology | Utrecht
• Would you like to translate marketing needs into smart data points that help Client communicate with customers in a more relevant and personalised way?

Summary

• As a Data Translator / Data Engineer at Client, you work in a multidisciplinary team responsible for customer and campaign data. You translate functional marketing needs into technical logic and build data points for Client’s marketing systems. You use tools and technologies including SQL, Databricks and DBT.

At a glance

• Translate marketing questions into customer attributes, data points and technical logic;
• Build queries and data models using SQL, Databricks and DBT;
• Ensure that marketing teams have the right data to create relevant and personalised customer offers.

What will you do as a Data Translator / Data Engineer?

• As a Data Translator / Data Engineer, you know the secrets of translating marketing needs into usable data and technical solutions.
• You act as the bridge between marketing and technical data specialists. You uncover the underlying need, determine which customer attributes are required and translate these into logic that can be implemented in the systems.
• Translate functional marketing needs into concrete data points and technical specifications;
• Analyse which customer attributes and relationships are needed to define a marketing target group;
• Build logic and queries that deliver data correctly to technical teams and marketing systems;
• Coordinate needs and solutions with marketers, data professionals and business professionals;
• Help the team improve data quality and data management.
• For example, marketing may want to promote a specific product to a particular customer group. You determine which customer attributes are required, how they relate to each other and how the corresponding logic should be built into the systems.

Skills, tools and areas of expertise

• SQL;
• Databricks;
• DBT;
• Data modelling and data engineering;
• Data quality and data management;
• Marketing technology;
• PySpark and Python as additional technical skills.

Must-haves

• Higher professional education level of thinking and working;
• At least 3 years of relevant experience with SQL or a comparable programming language;
• Knowledge of data modelling and data engineering;
• Experience with Databricks and DBT;
• An understanding of marketing and the work of a marketer;
• The ability to translate functional questions into technical logic;
• Strong analytical and logical thinking skills;

Good command of English;

An open and collaborative attitude.

Nice-to-haves

• Experience with marketing technology;
• Knowledge of data quality and data management;
• Experience with PySpark and Python;
• Command of Dutch;
• Knowledge of banking products and financial customer data;
• An eagerness to learn and openness to feedback.

What will I do each day as a Data Translator / Data Engineer?

• You discuss requirements with marketing stakeholders, explore the underlying need and determine which customer attributes and data are required. You then translate this information into technical logic, queries and data points for the marketing systems.

Which skills, tools and technologies will I use?

• You will work with SQL, Databricks and DBT. PySpark and Python are also used within the team and are considered additional skills.