Role & Responsibilities
- Data Strategy Development: Develop and implement a comprehensive data strategy for Social Marketing, encompassing data collection, integration, governance, and utilization to support informed decision-making and drive Social Marketing effectiveness.
- Analytics Infrastructure: Build and maintain robust analytics infrastructure, including data pipelines, dashboards, and reporting systems, to enable real-time monitoring, analysis, and optimization of Social Marketing performance metrics.
- Data Analysis and Insights Generation: Conduct in-depth analysis of Social Marketing data to uncover actionable insights, trends, and opportunities, translating findings into strategic recommendations to optimize Social Marketing campaigns, customer segmentation, and targeting strategies.
- Predictive Modeling and Forecasting: Develop and deploy advanced predictive modeling and forecasting techniques to anticipate market trends, customer behaviors, and campaign outcomes, enabling proactive decision-making and resource allocation.
- Performance Measurement: Establish key performance indicators (KPIs) and performance measurement frameworks to track and evaluate the effectiveness of Social Marketing initiatives, campaigns, and channels, providing regular performance reports and insights to stakeholders.
- Experimentation and Testing: Design and execute A/B tests, multivariate tests, and experimentation plans to optimize Social Marketing strategies, messaging, and tactics, leveraging data-driven experimentation methodologies to drive continuous improvement and innovation.
- Cross-Functional Collaboration: Collaborate closely with cross-functional teams, including Social Marketing, sales, product development, and IT, to align analytics initiatives with business goals, share insights, and drive data-driven decision-making across the organization.
- Capability Building and Training: Establish a Center of Excellence (COE) for Social Marketing analytics, providing training, guidance, and support to Social Marketing teams to enhance their analytical skills, capabilities, and adoption of analytics tools and methodologies.
- Compliance and Data Privacy: Ensure compliance with data privacy regulations, industry standards, and ethical guidelines in all Social Marketing analytics activities, protecting customer data and maintaining trust and transparency in data practices.
Ideal Candidate
- Masters or bachelor's degree in Marketing analytics, data science, statistics, or a related field.
- 8-11 years of experience as Business Analyst
- Strong programming/analytics skills are required.
- Rigorous analytics, econometrics, and strong logical reasoning to effectively solve complex business problems
- Ability to build strong relationship in a cross-functional environment.
- Proficiency in SQL for data extraction and manipulation, as well as programming languages such as Python or R for statistical analysis and data visualization.
- Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- Experience with data visualization tools such as Power BI, Tableau, or Looker, including proficiency in developing interactive dashboards and reports.
- Familiarity with social media APIs, particularly Facebook Graph API, for accessing and analyzing user data and engagement metrics.
- Experience in developing scripts and applications for data automation and integration, preferably using Python or similar languages.
- Knowledge of automation tools and techniques within Power BI for report generation and distribution.
- Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
- Detail-oriented mindset with a passion for data-driven decision-making and continuous improvement.
- Ability to work independently as well as collaboratively in a fast-paced, agile environment.
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