About the function of Marketing Data Analyst
What does the Marketing Data Analyst do?
Data analysts help to answer questions within an organization by collecting, cleaning, processing and presenting large amount of data, in reports or in real-time dashboards for example.
Data Analysts are seen as one of the fastest growing job position at the moment. As ERP systems, CRM, Ecommerce and the Internet of Things tremendously increased the volume of data available in all industries, most companies have needs to connect data sources and provide strategic guidance based on available data.
Data science is fast evolving field with a wide spectrum of technical sub-competencies. Data Analysts are required to have solid statistics understanding, in-depth knowledge about databases and data management, solid programming skills to manipulate large amount of data.
What does the future hold for Marketing Data Analysts?
Data disciplines will continue maturing in the coming years. Some companies will choose to develop and keep data roles internally in order to keep providing business insight. Outside of engineering departments, we will increasingly see Ecommerce or Business Data Analysts in Marketing for example, or even HR Data analyst specialising in workforce data and productivity.
On the other hand, companies for which data is not at the core of their strategy may chose to blend internal and external resources. In those companies, Data Analyst roles will remain rather generalist and focus more on managing project and coordinating vendors and data freelancers. This approach will be supported by third-party platforms which make it easy to find and hire specialists in data field (Natural Language Processing, Image Recognition, etc.) or even pool ideas from a community by the use of challenges.
Competencies of the Marketing Data Analyst
How to read the competency table and chart?
The percentage score (%) represents the expertise level required for this position, click on score for more details. Future skills, which are important to your organization's competitivity in the long run, are highlighted with a .
Competencies of the Marketing Data Analyst
Development plan for Marketing Data Analyst
Remember that all Learning & Development (L&D) activities and trainings should be balanced to achieve maximum results. For all Active Learning you perform, remember to balance with Social Learning and several Stretch assignments for the Marketing Data Analyst to put in practice newly learned skills.
|📖 Business partnering||Social Learning||Feedback from top manager||Collect top 5 business metrics that will be a priority for your management|
|📖 CRM||Stretch assignments||Group project (inter-department)||Set up a cross department review to improve metrics measured in dashboard|
|📖 CRM||Stretch assignments||Group project (inter-company)||Find new ways to segment customers in the system and launch campaigns||>> Get started|
|📖 Data analytics & vizualization tools||Active Learning||E-learning course||Google Analytics Academy (courses beginners to power users)||>> Learn more|
|📖 Data analytics & vizualization tools||Active Learning||E-learning course||Data vizualization for marketers using Excel (33 minutes)||>> Learn more|
|📖 Data analytics & vizualization tools||Active Learning||Book/article reading||Storytelling with data: Guide for business professionals||>> Learn more|
|📖 Data Science Programming Language||Social Learning||Communities / Practice group||Commit one hour per week to study other data scientists notebooks||>> Get started|
|📖 Data Science Programming Language||Social Learning||Feedback from peer||Publish your first dataset and notebook and learn from your peers||>> Get started|
|📖 Data Science Programming Language||Active Learning||E-learning curriculum||Data engineering with Python curriculum (75 hours, 19 courses)||>> Learn more|
|📖 Data Science Programming Language||Active Learning||E-learning curriculum||Data science curriculum (SQL, Python, Pandas, 26 courses)||>> Learn more|
|📖 Database management (Data storage)||Active Learning||E-learning course||Database management essential (42 hours, incl. certification)||>> Learn more|
|📖 Database management (Data storage)||Active Learning||E-learning curriculum||Curriculum to manipulate and analyse data with SQL (6 weeks, incl. certificate)||>> Learn more|
|📖 Database management (Data storage)||Active Learning||E-learning course||Career track for Data Analyst SQL (11 courses, 45 hours, compliant Microsoft certification)||>> Learn more|
|📖 Database management (Data storage)||Social Learning||E-learning curriculum||Study peers data analysis project notebooks using SQL||>> Get started|
|📖 Database management (Data storage)||Social Learning||Feedback from peer||Publish your first SQL project notebook and get it peer reviewed||>> Get started|
|📖 Database management (Data storage)||Active Learning||E-learning course||Working With Data Using Sql||>> Learn more|
|📖 Influential communication||Stretch assignments||Individual assignment||Apply top 3 tactics to influence clients during your next customer meeting||>> Get started|
|📖 Influential communication||Social Learning||Feedback from peer||Organize a pitching workshop and gather comments on good practices|