Blue Label Distribution

Campaign Data Analyst

Job description

Company
Blue Label Distribution

Reference #
B124

Published
11/10/2021

Contract Type
Permanent

Salary
Market Related

Location
Cape Town, Western Cape, South Africa


Introduction
At Blue Label Distribution, our brand philosophy is that we can create and distribute anything that is able to be digitized. Our Blu-approved brand is the face of our service offering and is underpinned by a world-class technology platform for both online and offline commerce. With a point of sale network of approximately 150 000 devices, we provide a distribution footprint across all income groups. 85% of our income comes from merchants in the informal sector



Job Functions
Information Technology


Industries
Telecommunications


Specification
The role requires a passionate certified Data & Campaign Analyst. The required end result is for the successful candidate to turn data into information, information into insight and insight into business decisions.



Requirements
RESPONSIBILITIES

Data Analyst and campaign responsibilities
Interpreting data, analyzing results using statistical techniques.
Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality.
Acquiring data from primary or secondary data sources and maintaining databases.
Managing campaigns and suppliers to achieve agreed targets.
Analyzing response rates, lead flows and profit & loss on a campaign by campaign basis.

Data Analyst life-cycle
Data analyst responsibilities include conducting full life-cycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. The Campaign manager role will involve liaising with clients and ensuring targets are met.

Data interpretation and development
Interpret data, analyse results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases/ data systems
Identify, analyse, and interpret trends or patterns in complex data sets
Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems

Relationship building,processes and opportunities
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities.
Liaise with Clients and manage budgets & volumes.
Good communication skills.

Self-Management
Follow through to ensure that personal quality and productivity standards are consistently and accurately maintained
Demonstrate consistent application of internal procedures
Plan and prioritize, demonstrating abilities to manage competing demands
Demonstrate abilities to anticipate and manage change
Demonstrate flexibility in balancing achievement of own objectives with abilities to understand and respond to organizational needs

BEHAVIORAL COMPETENCIES

Manages Complexity
Decision Quality
Communicates Effectively
Ensures Accountability
Collaborates
Business Insight
Courage
Plans and Aligns
Action Oriented
Financial Acumen
Resourcefulness
Cultivates Innovation
Customer Focus

Leadership Behaviors 1
Judgment

Leadership Behaviors 2
Strategy

Leadership Behaviors 3
Execution and Results

Leadership Behaviors 4
Customer centered

Leadership Behaviors 5
Talent

Leadership Behaviors 6
Planning and Improvement

Leadership Behaviors 7
Influence and Communicate

Leadership Behaviors 8
Ethics and Compliance

Leadership Behaviors 9
Adaptability

EDUCATION

General Education
Minimum Matric
BCOM, BSC or equivalent diploma.

EXPERIENCE

Proven working experience as a Data Analyst, Business Data Analyst and/or Campaign Manager.
Experience in a direct marketing environment.
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (Linux, Apache, MySQL, PHP) - LAMP
Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc)
Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy

Job Closing Date
25/10/2021

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