Senior Data Analyst

ShopriteX; Wes-Kaap; On-site; ZAR 480,000 - 720,000; Full time

Job summary

A leading retail organization in South Africa is seeking a Data Analyst II to enhance data analytics capabilities. You will analyze complex datasets to provide actionable insights, collaborate with cross-functional teams, and lead data projects. The ideal candidate has a Bachelor's degree and over 4 years of experience, with strong skills in SQL and Python. Join us to foster a data-driven culture and inform strategic decisions.

Qualifications

• 4+ years’ experience in a data analysis role.
• Proficiency in SQL, Python, and data analysis toolkits.
• Ability to lead and manage analysis projects independently.

Responsibilities

• Conduct advanced data analysis to identify trends and patterns.
• Utilize statistical methods and machine learning algorithms.
• Collaborate with stakeholders to define data strategy.

Skills

SQL

Python

Data analysis techniques

Data visualization tools

Communication skills

Education

Bachelor’s Degree in Data Science or related field

Tools

Tableau

Power BI

Job description

Role Purpose

The purpose of the Data Analyst II is to contribute to the organization's data analytics capabilities by leveraging data assets to derive actionable insights that inform strategic decision-making. The role collaborates cross-functionally to conduct thorough analyses, identify trends, and provide valuable recommendations to support business objectives. The role plays a key part in translating data insights into meaningful outcomes and fostering a data-driven culture within the organization.

Key Responsibilities

• Conduct advanced data analysis to identify trends, patterns, and correlations within datasets.
• Utilize statistical methods, machine learning algorithms, and predictive modelling to derive actionable insights.
• Collaborate with stakeholders and the leadership team to define the long-term data strategy and roadmap, ensuring alignment with organizational goals.
• Collaborate with cross-functional teams to understand business requirements and provide analytical support for key projects
• Work closely with business stakeholders to understand analysis requirements, hypotheses, and questions, proposing scalable data-led solutions.
• Manage data collection and application of analytical techniques, ensuring alignment with business needs and objectives.
• Define and write intricate business requirements to transform data into actionable insights and graphical representations.Develop and implement data models and algorithms to support business objectives and initiatives.
• Design, code, test, document, and support applications consistent with business requirements, overseeing post-implementation reviews.
• Develop comprehensive dashboards and reports, presenting analytical findings using data visualization techniques to facilitate decision-making tied to enterprise goals.
• Support business managers in integrating and embedding data to unlock strategic insights.
• Identify and mitigate data challenges, deploying appropriate solutions to ensure data quality and integrity.
• Define data quality standards and monitor performance of data structures and models.
• Plan and prioritize data projects across various analytics domains, considering business and technical trade-offs.
• Provide support for complex problems or enhancements of dashboards, presentations, or reports, leveraging expertise and creativity.
• Act as a knowledgeable resource, sharing updated knowledge and best practices with teams and cross-functional partners for continual optimization of analytical processes and designs.
• Lead smaller-scale analysis projects independently, from data collection to presentation of insights.
• Mentor junior analysts and provide guidance on analytical methodologies and best practices.
• Continuously explore and adopt new data analysis tools and techniques to enhance analytical capabilities.
• Stay abreast of industry trends and emerging technologies in data analytics

Qualifications and Experience

• Bachelor’s Degree in Data Science, Computer Science, Mathematics, Statistics, Information Technology, Information Systems, or related field (essential).
• +4 years’ experience in a data analysis role or related field, demonstrating proficiency in advanced data analysis techniques (essential).
• Strong proficiency in SQL, Python, and data analysis toolkits (essential).
• Experience with data visualisation tools (e.g., Tableau, Power BI) (preferred).
• Ability to lead and manage analysis projects independently.
• Excellent communication and presentation skills.

Proven ability to work collaboratively in cross-functional teams.

Our Group and all its operating companies is committed to creating, embracing, and preserving a diverse workplace that values the unique talents, perspectives, backgrounds, and abilities that enrich our organisation. A place where everyone matters and feels included.

We are committed to Employment Equity when recruiting internally and externally.

Please take note that by responding to this application and providing your personal information, you confirm your express and informed consent for Shoprite Checkers (Pty) Ltd and all its subsidiaries and affiliates companies to process your personal information for the Company to consider your application for this position. All Personal Information which you provide to the Company will be used and/or retained only for the purposes for which it is collected, whereafter it will be permanently destroyed. Your information is only retained if it is required by law or where you have given consent to us to retain such information for an extended period.

If you don’t hear from us within 14 days, please consider your application unsuccessful. Any personal information collected as part of your application will be destroyed, securely, in accordance with South African legislation.