Marketing Data Analyst

  1. Home
  2. Huneety
  3. Marketing
  4. Marketing Data Analyst

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

In the same department

Growth Hacker

Marketing Specialist

Digital Marketing Manager

Marketing Director

Marketing Manager

Text

Career Development

It is critical for any organization to retain millennials in the workforce. Managing their expectations is often challenging for organisations. Learn how Learning and development can help you retain millennials

Marketing Manager

Text

Text

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.

Competency
<>
 Type
<>
 Category Activity
 ðŸ“–  Business partnering  Social Learning. An activity where you learn from others. Like mentoring or coaching. Social Learning Feedback from top manager Collect top 5 business metrics that will be a priority for your management
 ðŸ“–  CRM  Stretch assignment. An activity that pushes you outside of your comfort zone to learn new skills in practice. Stretch assignments Group project (inter-department) Set up a cross department review to improve metrics measured in dashboard
 ðŸ“–  CRM  Stretch assignment. An activity that pushes you outside of your comfort zone to learn new skills in practice. Stretch assignments Group project (inter-company) Find new ways to segment customers in the system and launch campaigns >> Get started
 ðŸ“–  Data analytics & vizualization tools  Active Learning. An activity where you are deeply engaged in absorbing new knowledge. Like a classroom training, reading a manual or following an E-Learning class. Active Learning E-learning course Google Analytics Academy (courses beginners to power users) >> Learn more
 ðŸ“–  Data analytics & vizualization tools  Active Learning. An activity where you are deeply engaged in absorbing new knowledge. Like a classroom training, reading a manual or following an E-Learning class. Active Learning E-learning course Data vizualization for marketers using Excel (33 minutes) >> Learn more
 ðŸ“–  Data analytics & vizualization tools  Active Learning. An activity where you are deeply engaged in absorbing new knowledge. Like a classroom training, reading a manual or following an E-Learning class. Active Learning Book/article reading Storytelling with data: Guide for business professionals >> Learn more
 ðŸ“–  Data Science Programming Language  Social Learning. An activity where you learn from others. Like mentoring or coaching. Social Learning Communities / Practice group Commit one hour per week to study other data scientists notebooks >> Get started
 ðŸ“–  Data Science Programming Language  Social Learning. An activity where you learn from others. Like mentoring or coaching. Social Learning Feedback from peer Publish your first dataset and notebook and learn from your peers >> Get started
 ðŸ“–  Data Science Programming Language  Active Learning. An activity where you are deeply engaged in absorbing new knowledge. Like a classroom training, reading a manual or following an E-Learning class. Active Learning E-learning curriculum Data engineering with Python curriculum (75 hours, 19 courses) >> Learn more
 ðŸ“–  Data Science Programming Language  Active Learning. An activity where you are deeply engaged in absorbing new knowledge. Like a classroom training, reading a manual or following an E-Learning class. Active Learning E-learning curriculum Data science curriculum (SQL, Python, Pandas, 26 courses) >> Learn more
 ðŸ“–  Database management (Data storage)  Active Learning. An activity where you are deeply engaged in absorbing new knowledge. Like a classroom training, reading a manual or following an E-Learning class. Active Learning E-learning course Database management essential (42 hours, incl. certification) >> Learn more
 ðŸ“–  Database management (Data storage)  Active Learning. An activity where you are deeply engaged in absorbing new knowledge. Like a classroom training, reading a manual or following an E-Learning class. Active Learning E-learning curriculum Curriculum to manipulate and analyse data with SQL (6 weeks, incl. certificate) >> Learn more
 ðŸ“–  Database management (Data storage)  Active Learning. An activity where you are deeply engaged in absorbing new knowledge. Like a classroom training, reading a manual or following an E-Learning class. Active Learning E-learning course Career track for Data Analyst SQL (11 courses, 45 hours, compliant Microsoft certification) >> Learn more
 ðŸ“–  Database management (Data storage)  Social Learning. An activity where you learn from others. Like mentoring or coaching. Social Learning E-learning curriculum Study peers data analysis project notebooks using SQL >> Get started
 ðŸ“–  Database management (Data storage)  Social Learning. An activity where you learn from others. Like mentoring or coaching. Social Learning Feedback from peer Publish your first SQL project notebook and get it peer reviewed >> Get started
 ðŸ“–  Database management (Data storage)  Active Learning. An activity where you are deeply engaged in absorbing new knowledge. Like a classroom training, reading a manual or following an E-Learning class. Active Learning E-learning course Working With Data Using Sql >> Learn more
 ðŸ“–  Influential communication  Stretch assignment. An activity that pushes you outside of your comfort zone to learn new skills in practice. Stretch assignments Individual assignment Apply top 3 tactics to influence clients during your next customer meeting >> Get started
 ðŸ“–  Influential communication  Social Learning. An activity where you learn from others. Like mentoring or coaching. Social Learning Feedback from peer Organize a pitching workshop and gather comments on good practices

Request a personalized development plan for your company

We know all companies are different. Blended learning plans can differ greatly based on industry, business model, location and employees profiles. To craft a more customized development plan for the position of Marketing Data Analyst at your company with our experts, please schedule a 30-mn online conversation with our L&D experts.