Specialist - Customer Data Analytics & Insights at Astron Energy (Pty) Ltd.

The Customer Data Analytics and Insights Specialist is a critical role that supports the business through data gathering, interpretation, analyses and the use of insights and results together with statistical techniques to better understand customers.
The Specialist will conduct research and collect data regarding sales/marketing trends and consumer satisfaction.

To analyze the data the specialist must develop and implement data analysis, data collection systems and other strategies that optimize statistical efficiency and quality data for Astron Energy.

Establish and deliver Retail elements of the Astron Energy Data Analytics and insights change programme, seeking innovative opportunities to accelerate value and increase the bottom-line profit, by enabling and providing answers to complex business questions.

At steady state and as part of a vibrant data and analytics community across the Retail business, the Specialist will harness a modern data and analytics capability at the heart of decision making in the Retail leadership Team.

Key focus areas will include:

•  Collate data from Convenience Retail, Automation, Loyalty, Digital etc. for analysis and insight generation.
•  Conduct Research to identify customer preferences, needs and attitudes about Astron Energy products and services
•  Monitor industry trends to identify future opportunities
•  Identify target customer segments and create marketing strategies to reach those segments
•  Implement an effective data and analytics solutions.

 Review and analyze data to identify patterns in customer behavior or preferences that can help improve customer performance metrics such as:

•  Customer engagement
•  Customer retention
•  Customer attraction
•  Define metrics to improve
•  customer solutions and experience
•  ROMI
•  business processes etc.•

Financial Perspective

• Drive the Astron Energy plan to innovate with customer data and analytics to deliver actionable insights for superior business performance.
• Embed data and analytics to accelerate business growth and create value for Astron Energy, customers, employees and shareholders.
• Ensure marketing spend delivers and contributes to the Retail and Marketing business performance / bottom line (ROMI).
• Data ownership: Encapsulation of all the Bata points across the business to tell a story and narrative on the business performance.
• Use of intelligent data to corroborate data points to guide the business decisions and back up any hypothesis with data.
• Drives the critical and commercial thinking around where analytics can have the most value in the business, concentrating on maximizing return on investment.

Customer Perspective

• Review historical data to identify trends in customer behaviour or preferences over time Evangelist and flag-carrier for Data and Analytics, leads data and analytics transformation across the retail business, especially monetization of data. Able to challenge the business constructively and supports the GM and Retail leadership team with strategic choices through a mix of business acumen and quantitative analysis. Guardian of Astron Energy retail wide data and analytics methods & tools, works with the Central finance Data and Analytics function to drive implementation of the customer data analytics and insights initiative. Identifies and recommends new ways to drive efficiency by streamlining business processes. Advises the retail leadership team for the design and delivery of reports and insights that analyse businesses, functions, operations and performance metrics. Ensures accuracy of data and analytics deliverables in compliance with data policies and processes developed centrally Lead for data governance within the retail business, to support compliance with quality standards and regulatory requirements.

Business Excellence

• Compile reports based on findings from research and data analysis to provide recommendations for decision making Develops and tracks business KPls to measure performance and success of customer and business initiatives within retail & marketing. Communicates and champions results and business impacts of insights initiatives to stakeholders. Drive one version of the truth across the value chain issuing data and analytics and guide business narrative to drive performance in the right areas. Champion innovation in payment systems, real time processing of data across the customer value chain. Customer behaviour analytics that are digitally led with a meaningful dashboard Acquire data from primary or secondary data sources and maintaining data base

People Management

• Leads the Retail Customer Data Analytics and insights team; recruits, trains, develops and manages data analyst(s) when required Provides guidance to the team in the development, testing and presentation of hypotheses-driven analysis. Provides data analytics support to the Retail and Marketing team Manage the different stakeholders within Retail and Marketing as well as cross functional stakeholders

Professional Qualification and Certifications:

• Bachelor's Degree in fields such as business administration, marketing, statistics, analytics, mathematics etc. Postgraduate qualification is an advantage, but not compulsory.

Work Experience:

• 7-8 years' professional experience, including I-year minimum in a position of monitoring, managing, manipulating, and drawing insights from data At least 3 years' experience leading a team at management level. Demonstrable experience in formulating and solving business problems using mathematical/statistical constructs to derive insights. Experience in a customer insights analyst and research role will be an advantage

Knowledge and skills:

• Data analysis skills Data quality, data governance, data protection, data architecture, data mapping, data engineering, data science, data exploitation and data visualization. Working knowledge of analytics disciplines: descriptive, diagnostic, predictive and prescriptive analytics. Familiarity with analytics techniques, e.g., Regression Analysis, Timeseries, Monte Carlo modelling, Clustering etc. Working knowledge of SAP S4/Hana Working knowledge of data visualization tools: e.g., Tableau, Alteryx Fuel Industry knowledge Critical thinking and problem-solving skills Strong customer focus and business skills, self-starter and results driven with the drive and persistency to perform, even at times of great change Very good communication and presentation skills.
• Good team player with excellent influencing skills