Market Intelligence Data Scientist

5 months ago

Cape Town, South Africa Engen Full time

**Location**:
Cape Town

**Salary Band**:
EM

**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
- 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 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

**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

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