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General Details
Location:
Advertised By:Private
Company Name:Duepoint
Job Type:Full-Time
Employment Equity:EE/AA
Description
CALLING UNEMPLOYED SOUTH AFRICANS!
START WORKING FROM HOME TODAY!
With Social Marketing you'll need no education or experience!
Ypu can start earning an income part-time or full-time!
Social Marketing is perfect for everyone!!!
Join one of the South Africa's best FSP of 2024 for a safe and secure way to make money.
- 24 Training available
-Fast Start Training
-R5000+ monlthy income
-HIGH commission payouts
-Private Legal Assistance
-Biasic Medical Service
If you are keen and serious, you can be a successful entrepreneur!!!
Contact 0773642665 ......... on WhatsApp to apply!"
Id Subtitle 1277808618
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Michael Lakey
Selling for 1 year
Total Ads13
Active Ads7
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Work from home!!
looking to hire direct marketers to help promote our insurance packages we looking for driven individuals with a passion to be independent
responsibilities:
learn, embrace & master our system!
requirements:
laptop, personal computer or smart phone
facebook account
reliable internet connection
whatsapp account
no experience needed
what's in it for you?
option between full time or part time
mentor available 24 7
fast start training
r5000+ monlthy income
monthly promotions and increases
private legal assistance
basic medical service
road assistance(for all reps with vehicle)
how to apply?
whatsapp 0845616528(for immediate response)
or
email earnwithjareed@gmail com
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Join the Spur Corporation as a Marketing Data Analyst and make a
significant impact on our marketing strategies, customer engagement, and
business growth!
KEY
RESPONSIBILITIES & DUTIES:
Collaborate closely with
both the IT department and the broader Marketing team to provide data-driven
insights.
Conduct complex customer
loyalty data analysis to uncover segment opportunities and deepen understanding
of customer shopping behaviours, facilitating informed decision-making for
optimized business performance.
Apply statistical
analysis and predictive modelling to unearth growth prospects and predict
customer behaviours.
Take charge of marketing
data analysis initiatives, gathering data from internal and external sources,
performing modelling, and generating reports and dashboards to inform marketing
strategies, budget allocation, and acquisition efforts.
Present comprehensive
reports on market performance, customer segments, satisfaction levels, shopping
behaviours, omnichannel trends, campaign effectiveness, competitor analysis,
and marketing mix elements to track monthly business performance.
Disseminate research
reports to key stakeholders across the business, fostering a customer-centric
approach and maintaining the current central repository of insights.
Manage partnerships with
research agencies to leverage their expertise and resources effectively.
Enhance the capabilities
of the Innovation Centre in consumer insights and research.
Stay updated on emerging
trends and best practices in marketing analytics.
REQUIREMENTS:
Bachelor's degree in Statistics,
Mathematics, Data Science, Data Analysis, Computer Science, or a related field.
An advanced degree is a plus.
Minimum 2 years of
experience with SQL querying (non-negotiable).
Minimum 2 years of
experience in marketing data analytics, preferably in the food industry or a
marketing/insights-driven environment.
Proficiency in a variety
of data visualisation and analysis tools, including but not limited to: Google
Analytics, Power BI, Tableau, SAS, SPSS, DBeaver, BigQuery, Snowflake
(familiarity with multiple tools is a plus).
Competence in programming
languages like Python and R.
Strong analytical skills
with the ability to translate complex data sets into actionable insights.
Experience with
statistical analysis, predictive modelling, and segmentation techniques.
Familiarity with
marketing measurement approaches, such as customer lifetime value and customer
engagement metrics.
Excellent communication
and collaboration skills.
Strong attention to
detail and commitment to data quality.
Bonus:
Experience working in the
food industry
Working knowledge of
Machine Learning applications (e.g., clustering, dimensionality reduction,
regression, classification, time-series modelling, neural networks)
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