- Develop data records management processes and policies    

- Identify areas to increase efficiency and automation of processes

- Set up and maintain automated data processes

- Identify, evaluate and implement external services and tools to support data validation and cleansing

- Produce and track key performance indicators of all digital channels (paid, owned, earned media)

- Creating dashboards, data visualizations, and campaign and website performance reports.

- Monitor and audit data quality

- Liaise with internal clients to fully understand the data content

- Gather, understand and document detailed business requirements using appropriate tools and techniques

- Design and carry out surveys and analyze survey data

- Manipulate, analyze and interpret complex data sets relating to the business

- Prepare reports for internal and external audiences using business analytics reporting tools

- Create data dashboards, graphs, and visualizations

- Provide sector and competitor benchmarking

- Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool.

- Provide competitor research and insights to internal clients

- 5+ years of practical experience in digital marketing data analysis (Google Analytics, Search Console, Google Ad Analytics, Social Media Analytics, Keyword Search Analytics)

- Google Analytics, SEO, keyword analysis, and web analytics aptitude

Minimum Bachelor's degree or equivalent experience in the following disciplines:

- Business information systems

- Computer science

- Economics

- Information management

- Mathematics

- Statistics

Other requirements:

- Excellent numerical and analytical skills

- Knowledge of data analysis tools - you don't need to know all of them at entry-level, but you should show 

- Advanced skills in Excel and the use of at least one relational databases

- Familiarity with other relational databases and tools (e.g. MS Access, Google Data Studio, PowerBI, or Tableau)

- Knowledge of data modeling, data cleansing, and data enrichment techniques

- Ability to restructure data with Python or R language

- Hadoop open-source data analytics

- The capacity to develop and document procedures and workflows

- The ability to carry out data quality control, validation, and linkage-

- An understanding of data protection issues

- Experience in statistical methodologies and data analysis techniques

- The ability to produce clear graphical representations and data visualizations.

- Direct communication, open-minded, creative, willing to make a change and take challenges at all times with great teamwork

- English speakers are welcome to join!

1st interview - online

2nd interview - on site

3rd interview - on site