Job Openings
Data Analyst
About the job Data Analyst
JOB PURPOSE
· Acts as Data Steward to manage and maintain the Salesforce Marketing Cloud platform.
· To extract and transform data from repositories for analyses.
· To infer opportunities for improvement or growth of the business and visualize insights.
· Analyse business objective and responsible to interpret data, analyse results using
statistical techniques and provide ad-hoc, ongoing reports and deliver solutions for
better decision making.
JOB CONTENT
1. Salesforce marketing cloud
a. Assist in coordinating Salesforce, 3rd party system integrators and IT to implement
marketing cloud modules from a data steward perspective.
b. Be a champion for the platform, i.e. manage the data structure, data integrity,
datasets, segments, connections to other modules.
c. Learn and be one of the experts in using Salesforce marketing cloud including setting
up goals, segments, triggers, follow-up actions, reporting, and optimization.
d. Train organizational unit (OU) teams to become power users of the platform to
elucidate more segments and towards personalized messaging and cognitive
marketing.
e. Transfer knowledge across OUs or countries, where applicable.
2. Data analyses and management
a. Extract, transform, analyse and visualize insights or opportunities from various
sources of data.
b. Build and maintain data cubes in Tableau or Qlik for further analyses by other units
or departments.
c. Use advanced analytical techniques to uncover new opportunities or customer
segments.
d. Assist in developing models to improve and grow business across OUs.
e. Design and build reports/dashboard via data visualizations tools for business
performance matters using Tableau or other software/platforms.
f. Data stewardship over Customer Data Platform (CDP) and new Salesforce modules.
g. Innovate and create out of the box solutions by leveraging large and diverse data set
and state of the art technologies.
KNOWLEDGE & SKILL
Education / Professional Qualification
Bachelor in Computer Science, Advanced Statistical Analyses, Machine Learning, Database
Administration, and Information Technology.
Professional Experience
At least 3-5 years of work experience in data/business analyses and database
administration.
Experience in analytics and implementing of statistical modules
COMPETENCIES
Technical
Database, data warehousing, statistical analyses, business analyses, ETL.
Statistical programming language (Python / R / SQL / Dig Query)
Leadership
Able to work under stress and fast pace environment.
Strong interpersonal skills with the ability to interact with people from diverse backgrounds.
Good team player.