Market Intelligence Data Scientist at Engen

Who You Are;

• You are an experienced data scientist with proven experience in solving high impact business problems by providing actionable insights from large data sets and market intelligence
• Ability to effectively apply a combination of statistical knowledge, programming skills and business acumen to identify, prioritize and solve high impact business issues
• You have a reputation as a strong communicator
• You influence people from different levels of the organization
• You are innovative and curious
• Simplify complex situations; strong analytical & problem-solving skills
• Must be able to multi-task and project manage many tasks simultaneously
• Ability to work under continual deadlines
• Strong project and process management with proven ability for planning, scheduling & coordinating

What you’ll be doing;

• Work cross functionally to collect, identify and prioritize complex business problems
• Identify, cleanse, combine, analyse and visualise data from a variety of sources to obtain actionable business insights
• Effectively communicate findings to leadership and translate them into recommended actions and ongoing tracking mechanisms
• Conduct analysis of large and multiple data sets using statistical modelling and machine learning techniques
• Develop written material and presentations, including visualisation techniques to communicate results and recommend innovative solutions
• In-depth analysis on competitor and consumer trends to identify innovative growth opportunities and actionable insights to enhance customer, marketing, loyalty and communication strategies
• Ongoing development and improvement of customer segmentation modelling to inform convenience and sales strategies

What you'll have done before

Baseline:

• NQF Level 7 (Degree in Business Science/ Economics/ IS/ Computer Science/ Research/ Decision)
• 8 years’ experience in Data Science Analytics or Statistics
• Experienced with data visualization tools (e.g. PowerBI, Tableau, Qlikview etc)
• Proficiency in using query languages such as SQL, Hive, Pig or similar
• Experienced in the use of analytical tools (R, Python etc.) with machine learning and algorithms
• Excellent applied statistics such as modeling, testing, regression, time series forecasting and sampling

 Advantageous:

• Postgraduate qualification in marketing, customer experience or research analysis
• Experience in research analytics
• Exciting Challenges you might face in the role
• A highly motivated self-starter who is curious and passionate about creating insights for the business that were not previously known