As a Data Consultant, you will be the essential link between the business teams and the data analytics team, leveraging data to drive effective decision-making. You will play a critical role in translating business requirements into actionable data insights, creating custom audience segments, and delivering data-driven recommendations. In addition, you will apply your technical skills to write and maintain scripts, queries, and code snippets that support audience creation and data analysis. Job Description: Key responsibilities: Audience Creation & Segmentation: Collaborate with stakeholders to define target audiences based on business objectives. Use analytics tools to design, build, and segment customer audiences that support marketing and business strategies. Regularly refine and optimize audience segments to enhance campaign effectiveness. Business & Data Translation: Act as a bridge between business teams and data specialists, translating business needs into technical requirements and data insights. Work closely with marketing, product, and other departments to ensure data solutions are aligned with business goals. Conduct workshops and brainstorming sessions to identify data opportunities and communicate findings to non-technical stakeholders. Technical Coding & Data Manipulation: Write, maintain, and troubleshoot code (Python, SQL, R, or similar) for audience segmentation, data extraction, and transformation tasks. Develop and manage custom data solutions to support advanced segmentation, predictive modeling, and campaign performance analysis. Ensure data integrity and accuracy by implementing data quality checks and validation procedures. Insights Generation: Leverage data analytics to produce actionable insights, such as customer behavior patterns, trends, and campaign performance analysis. Present insights to business leaders in an easily understandable manner, offering strategic recommendations for improvement. Track and report on key metrics, providing timely and accurate insights that support data-driven decision-making. Collaboration & Communication: Collaborate with data engineers, data scientists, and IT teams to ensure smooth data pipeline operations and data availability. Partner with business stakeholders to understand and prioritize their data needs and maintain a continuous feedback loop for improvement. Advocate for data-driven solutions within the business, promoting the value of data analytics in achieving business objectives. Key Skills & Qualifications Educational Background: Bachelor's degree in Data Science, Computer Science, Business Analytics, or a related field. Experience: Minimum 3 years in a data-focused role within a financial institution, consulting firm, or tech environment. Technical Skills: Proficiency in SQL and Python (or similar scripting languages); experience with data visualization tools like Tableau or Power BI is a plus. Audience Segmentation: Hands-on experience in creating and managing audience segments, ideally within a banking or financial services context. Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data sets and translate them into actionable insights. Communication: Excellent verbal and written communication skills, with the ability to effectively engage both technical and non-technical audiences. Team Collaboration: Demonstrated experience working in cross-functional teams, with the ability to lead data projects from concept to completion. Preferred Qualifications Experience in banking or financial services, with familiarity with customer segmentation and campaign analytics. Knowledge of data governance, data privacy regulations, and compliance in a financial institution. Advanced experience with audience creation, predictive analytics, and data-driven marketing strategies. Location: Cape Town Brand: Dentsu Time Type: Full time Contract Type: Permanent
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