Collecting data from internal and external sources, ensuring accuracy, and removing duplicates or errors.
Applying statistical and analytical techniques to identify trends, correlations, and anomalies.
Creating dashboards, charts, and reports using tools like Excel, SQL, Python, and Tableau to communicate findings to stakeholders.
Translating complex datasets into actionable recommendations for business strategy, marketing, or operations.
Working with cross-functional teams, including project managers, business analysts, and marketing, to understand data needs and develop solutions.
Ensuring compliance with data management policies, maintaining data integrity, and supporting data architecture and modeling efforts.
Skills and Qualifications
Proficiency in SQL, Excel, Python, R, and data visualization tools like Tableau or Power BI.
Ability to interpret complex data, identify patterns, and provide actionable insights.
Translating technical findings into clear, business-friendly language for stakeholders.
Understanding of business processes, KPIs, and regulatory requirements, especially in marketing.
Willingness to adopt new tools, programming languages, and Big Data techniques.
Knowledge of marketing data sets like Google Analytics, Social Media Platforms, Salesforce, Marketing Cloud and Customer Data Platforms.
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