Data Analyst

Data Analyst

ShopriteX | cape town, WC, ZA

Posted 18 days ago

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Description

Value Proposition

ShopriteX has been established within Shoprite Group to accelerate the use of data in improving customer experience and business operations. ShopriteX has been set up to work in an agile way, with centres of excellence as well as product-focused teams. We have a role available for a Mid/Senior Data Analyst within the Digital Commerce team.

In this role you will be involved in leveraging Shoprite's vast operational data to provide and create unique insights and analytics within the Digital Commerce space. You will have a direct impact on strategic initiatives to be truly customer-centric as well as to create visibility on performance across the business.

ShopriteX is highly entrepreneurial, you will be expected to deal with a high level of ambiguity 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.


Teams

The Digital Commerce team is determined to leverage data to create a strategic advantage and leverage the growth priorities of Shoprite Group's new retail capabilities as well as enable world-class shopping across digital channels.


Job Purpose

Through the interpretation and analysis of data, the Data Analyst transforms that data into information that can offer ways to improve the 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 within the BI / Analytics / Reporting space who has the ability to articulate ideas and deliver in a way that is clearly understood and achieves outcomes. 

Key Responsibilities:

1. Team Integration: Interface between business specialists and development teams. Drive continuous improvement within the team and workshop solutions to existing processes and challenges.

2. 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.

3. Talent Development: Provide system input to design of user training material. Play a key role in coaching and mentoring colleagues.

4. 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.


Qualifications:

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

Experience:

3-5 years

Data Analysis, Business Intelligence or Financial Analysis

Project Management

Retail Experience (beneficial)

Experience in the following:

Forecasting

Data Analytics

Automated Reporting

Skills / Technologies:

Report creation, modelling and trend forecasting

Working with big data, large volumes of different types of data

Tableau

SQL

Alteryx (beneficial)

AWS cloud computing-based Python / Pyspark solution (beneficial)

Competencies:

Highly Analytical

Presenting and communicating information

Delivering results and meeting customer expectations

Focuses on customer needs and satisfaction

Coping with pressure and setbacks

Achieving personal work goals and objectives

Accepts and tackles demanding goals with enthusiasm

Applying expertise and technology

Entrepreneurial and commercial thinking

Adapting and responding to change