• Application Deadline:
• Position: Data Analyst, Pulse Marketing


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience 4 years


• Location Lagos


• Job Field Data, Business Analysis and AI 
  

Job Requirements

Conduct Market Research:

• Competitor Analysis: Identify and evaluate competitors’ strategies, strengths, and weaknesses to inform competitive positioning.


• Industry Trends: Track industry trends and emerging technologies to keep the agency and its clients ahead of the curve.


• Customer Insights: Gather data on customer behaviors, preferences, and demographics to tailor marketing strategies.

Conduct Audience Research:

• Persona Development: Create detailed customer personas based on research to guide targeted marketing efforts.


• Audience Segmentation: Segment the audience into distinct groups for more personalized and effective communication.

SEO and Keyword Research:

• Keyword Analysis: Identify relevant keywords and phrases to optimize content for search engines.


• Competitive SEO Analysis: Evaluate competitors’ SEO strategies to identify opportunities and threats.

Content Strategy:

• Content Gap Analysis: Identify content gaps in the market or within a client’s existing content to create opportunities for new content strategies.


• Performance Metrics: Analyze content performance to inform future content creation and optimization strategies.

Campaign Analysis:

• Performance Tracking: Monitor and measure the performance of marketing campaigns across different channels.


• A/B Testing: Conduct experiments to compare different versions of marketing materials and determine which performs better.


• ROI Analysis: Calculate the return on investment for campaigns to assess their effectiveness and justify expenditures.

User Experience (UX) Research:

• User Testing: Conduct usability testing to gather feedback on user experiences and identify areas for improvement.


• Heatmaps and Session Recordings: Use tools to track user interactions on websites and understand user behavior.

Social Media Analysis:

• Engagement Metrics: Track metrics like likes, shares, comments, and follows to gauge the success of social media efforts.


• Sentiment Analysis: Analyze social media conversations to understand public sentiment and brand perception.

Conversion Rate Optimization (CRO):

• Behavioural Analysis: Study user behavior to identify barriers to conversion and opportunities for optimization.


• Experimentation: Test hypotheses through controlled experiments to improve conversion rates.

Client Reporting:

• Provide clients with regular reports on campaign performance, key metrics, and insights in collaboration with the Account Managers

Strategic Planning:

• Insight Generation: Translate data into actionable insights to inform strategic decisions.


• Forecasting: Predict future trends and outcomes based on historical data and market conditions.

Performance Benchmarking:

• Compare performance metrics against industry standards or competitors to gauge success and identify improvement areas.

Continuous Improvement:

• Use insights from analysis to refine and improve ongoing and future projects and strategies.

Qualifications and Skills

• Bachelor’s Degree in Data Analytics, Marketing, Statistics, or related field.


• 4+ years relevant work experience.


• Proven experience working as a data analyst with a focus on social media and digital marketing analytics.


• Proficiency with social media analytics tools (e.g., Facebook Insights, Instagram Insights, Twitter Analytics) and digital analytics platforms (Google Analytics, Google Data Studio).


• Experience with social listening tools (e.g., Sprout Social, Hootsuite, Brandwatch) and data visualization tools (e.g., Tableau, Power BI).


• Strong analytical and critical thinking skills with a passion for interpreting complex data sets and turning them into actionable insights.


• Excellent understanding of key digital marketing and social media metrics, including audience growth, engagement, CTR, CPC, and ROI.


• Strong communication skills, with the ability to translate complex data into clear, concise reports and presentations for non-technical audiences.


• High attention to detail and focus on data accuracy and integrity.


• Knowledge of A/B testing and experience optimizing campaigns based on data insights.