Junior Marketing Analyst

Roles and responsibilities

• Utilise advanced data analytics to grow Canonical's product adoption and market penetration
• Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
• Design and conduct experiments with data, visualisation and insights into Canonical's target audiences
• Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc) to improve the data and tool ecosystem
• Put in place and maintain systems to ensure teams across the company have self-service access to data dashboards
  

What we are looking for in you?

• Background in data science, mathematics, actuarial science, or engineering
• Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
• Strength in data analytics and visualisation (Looker Studio, Tableau, Apache Superset, etc)
• Ability to translate business questions to key research objectives
• Ability to identify the best methodology to execute research, synthesise and analyse findings
• Excellent writing and communication skills
• Willingness to examine the status quo and resilient in the face of challenges

• 1. Data Collection and Analysis

• Data Gathering: Collect marketing data from various sources, such as social media platforms, email campaigns, website traffic, customer surveys, and sales reports.
• Data Cleaning: Prepare and clean data to ensure it is accurate and ready for analysis, removing inconsistencies or errors that may skew results.
• Reporting: Assist in creating reports and dashboards that track marketing performance, including key metrics like website traffic, lead generation, conversion rates, and customer engagement.

• 2. Campaign Performance Tracking

• Performance Metrics: Monitor the performance of marketing campaigns, including digital ads, content marketing, and email campaigns. Track metrics such as click-through rates (CTR), return on investment (ROI), conversion rates, and customer acquisition costs (CAC).
• A/B Testing: Assist in conducting A/B tests for marketing campaigns to evaluate which strategies and creative elements perform best.
• Trend Analysis: Identify trends and patterns in the data that could inform future marketing strategies and highlight areas for improvement.

• 3. Market Research and Competitive Analysis

• Competitor Analysis: Monitor and analyze competitors' marketing strategies, campaigns, and activities to help identify opportunities or gaps in the market.
• Customer Insights: Assist in conducting market research and customer surveys to gather insights into customer preferences, behaviors, and demographics.
• Industry Trends: Stay up to date on marketing trends, new technologies, and best practices that could be applied to the company's marketing strategies.

• 4. Support in Strategy Development

• Assist in Strategy Formation: Support senior marketing team members in developing and refining marketing strategies based on data-driven insights.
• Campaign Optimization: Provide recommendations to improve ongoing campaigns by analyzing results and suggesting optimizations, such as refining target audience segments or improving messaging.

• 5. Marketing Technology and Tools

• Marketing Platforms: Use various marketing tools and platforms, such as Google Analytics, HubSpot, Mailchimp, or SEMrush, to track campaign performance, analyze data, and generate reports.
• CRM Systems: Work with Customer Relationship Management (CRM) tools to gather insights on customer behaviors, sales, and interactions with marketing efforts.
• Automation Tools: Gain experience with marketing automation tools to help streamline and optimize campaigns and workflows.

Desired candidate profile

1. Analytical and Technical Skills

• Data Analysis: Ability to analyze marketing data and identify trends, patterns, and actionable insights.
• Excel/Spreadsheet Proficiency: Strong skills in Excel or Google Sheets for data analysis, pivot tables, and creating charts or graphs.
• Analytics Tools: Familiarity with tools like Google Analytics, Google Data Studio, and other reporting tools to track and analyze web traffic, social media performance, and other marketing metrics.
• Basic Statistical Knowledge: A foundational understanding of statistics to interpret data and derive meaningful conclusions, particularly for tasks like A/B testing or ROI analysis.

2. Marketing Knowledge

• Understanding of Marketing Channels: Basic knowledge of digital marketing channels such as SEO, SEM, email marketing, content marketing, social media marketing, and paid advertising.
• Customer Journey: Understanding how different marketing tactics work together to move customers through the sales funnel and achieve conversion goals.
• Marketing Metrics: Familiarity with common marketing metrics (e.g., CTR, CAC, LTV) and how they are used to evaluate campaign success.

3. Communication Skills

• Report Writing: Ability to write clear, concise, and actionable reports that summarize findings and recommendations.
• Presentation Skills: Ability to present data insights to internal stakeholders in a digestible and engaging way.
• Team Collaboration: Strong interpersonal and communication skills to work effectively with team members and cross-functional departments.

4. Attention to Detail

• Accuracy: Ability to handle large datasets, ensuring accuracy in data analysis and reporting.
• Organizational Skills: Strong organizational skills to manage multiple tasks and deadlines, ensuring that reports and analyses are delivered on time.

5. Adaptability and Learning Mindset

• Willingness to Learn: Eagerness to learn new tools, technologies, and techniques related to marketing analytics.
• Curiosity: A natural curiosity to explore data, uncover insights, and understand the "why" behind marketing performance metrics.