Data Analyst (Mid / Snr or Lead)

Data Analyst (Mid / Snr or Lead)

Permanent

Cape Town

A digital media & technology company has been established within a large enterprise to accelerate the use of data in improving customer experience and business operations. It has been set up to work in an agile way, with centres of excellence as well as product focused teams. We have a few roles for Data Scientist and Data Analysts within each product team as well as within the centres of excellence.

In this role you will be involved in creating opportunities that delight our customers by leveraging company’s vast operational data. Using this data with predictive modelling you will have a direct impact on strategic initiatives to be truly customer centric.

Highly entrepreneurial, you will be expected to deal with a high level of ambiguity and building to ensure that we are able to achieve our vision. We are focused on becoming a high-performance organisation that attracts the finest talent to make a difference to our customers.

Job Purpose

The Data Analyst interprets data and turns it into information that can offer ways to improve a business. Working with business stakeholders to identify the business requirements and opportunities. Models and frames business scenarios to solve analytical problems, and performs experimental design approaches to validate findings or test hypotheses. Presents and depicts the rationale of their findings in easy-to-understand terms for business. Provides business metrics to show improvements as well as ongoing tracking and monitoring of performance.

We are looking for an experienced analyst with knowledge of marketing concepts and campaigns, as well as the ability to articulate ideas and deliver in a way that is clearly understood and achieves outcomes. 

Key Responsibilities:

• Team Integration: Interface between business specialists and development teams. Drive continuous improvement within team and workshop solutions to existing processes and challenges.
• Solution Development: Data administration and analysis to ensure the quality and thoroughness of data. Write business requirements/modifications to transform data into common formats. Write business requirements/modifications to create common reports and graphical formats. Prepare, publish, and provide commentary for standing reports and dashboards on time against daily, weekly, monthly, and annual deadlines. Evaluate/investigate the quality/integrity/trend of data based on historical trends and industry norms. Communicate/Conceptualize and interpret the data status and issues to internal teams. Working with business counterparts on operational readiness activities to ensure that necessary training and procedure updates have occurred. Adhere to internal documentation, processes, protocols, and standards. Support solutions by responding to complex user query escalated from support teams, investigating issues, and managing the internal resolution thereof. Ensure stability of the existing systems environment by implementing solutions that do not compromise operational stability. Participate in post-implementation reviews of development.
• Talent Development: Provide system input to design of user training material. Play a key role in coaching and mentoring colleagues.
• Service Delivery: Support solutions by responding to complex user queries escalated from support teams, investigating issues, and managing the internal resolution thereof. Ensure stability of the existing systems environment by implementing solutions that do not compromise operational stability. Participate in post-implementation reviews of development.

REQUIREMENTS

Bachelors / Honours / Masters or PhD Degree in Data Science, Computer Science, Information Technology, economics, Information Systems, Statistics or Mathematics or related field

Skills / Technologies we are after:

• Report creation, modelling and trend forecasting
• Large volumes of different types of customer data being sourced from several source systems e.g., but not limited to – Transactional POS (Point of Sale) data, payment/tender type data, customer profile data, customer segmentation data, store data, stock data, promotions data, interactions data, channel data
• AWS cloud computing-based Python / Pyspark solution (beneficial)
• Retail experience (beneficial)
• Zeppelin notebooks (beneficial)
• Tableau (beneficial)
• Alteryx (beneficial)
• SQL

Experience for level

• Jnr Analyst: 1-2 years
• Snr Analyst: 3-5 years
• Lead Analyst: 6-8 years
• Business Analysis or Data Analysis or Business Intelligence
• Project Management
• Retail Experience (as an additional - beneficial)

Types of Experience that will help you in our environment:

Assortment optimisation; Customer-driven marketing; Forecasting; Supply chain analytics; Clustering; Marketing mix modelling; Price optimisation; Product recommendation; Fraud detection; Workforce analytics