Senior Marketing Data Analyst, Paid Social - job 1 of 2

As a Senior Marketing Data Analyst at Welltech, your main responsibilities will include leading complex analyses of our paid social channels, generating actionable insights to improve campaign performance across platforms like Meta and TikTok, and collaborating with our marketing teams to enhance audience targeting and bidding strategies. You'll also create dashboards for monitoring key metrics, conduct market analysis, and design A/B tests to optimize user engagement and conversion.

To qualify for the Senior Marketing Data Analyst position at Welltech, you'll need a minimum of five years of experience in a similar role. A strong knowledge of Meta or TikTok infrastructure, familiarity with SQL for data manipulation, and desirable experience with visualization tools like Looker or Tableau are essential. Additionally, strong analytical skills, effective communication in English, and a proactive spirit are highly valued.

At Welltech, you can expect numerous growth opportunities as a Senior Marketing Data Analyst, including access to individual budgets for professional training, learning foreign languages, and an online corporate library. Additionally, you'll work alongside a team of skilled professionals who are eager to share knowledge and support each other's growth, helping you expand your skill set.

Welltech prides itself on a positive work culture that emphasizes sociability, proactivity, and responsibility. As a Senior Marketing Data Analyst, you’ll be encouraged to communicate openly and clearly, take ownership of your tasks, and align your goals with the company's vision. We believe in creating comfortable working conditions that respect your rhythm of life, promoting an environment where everyone can thrive.

The Senior Marketing Data Analyst role at Welltech does not specify a location, indicating potential flexibility in work arrangements. This may include remote work, allowing you to contribute effectively while maintaining a healthy work-life balance.

When answering this question, focus on specific platforms you've worked with, such as Meta or TikTok. Detail the tools and methodologies you used to analyze campaign performance. Share metrics like CTR, CPC, CPA, or ROAS that you have improved based on your analyses, and provide examples of how those insights shaped strategy.

To answer this, emphasize your process of data validation and integrity checks. Discuss your experience with tools and techniques you use to clean and verify data, and highlight how you ensure that your analysis is based on reliable information, which ultimately feeds into better decision-making for marketing campaigns.

Your response should illustrate a comprehensive understanding of various optimization strategies. Discuss elements such as improving ad targeting, creative performance, and budget allocation backed by data analysis. Mention A/B testing and monitoring key performance indicators, and how you would tailor strategies to meet specific campaign goals.

In your answer, describe a specific project where you played a crucial role in data analytics. Mention your responsibilities, the challenges you faced, and the outcomes of the project. Highlight the tools and data you worked with, and the impact your analyses had on decision-making and performance.

Share your methods for task prioritization, like using project management tools or frameworks. Discuss how you align your tasks with business goals and deadlines, and mention any techniques you use to ensure that the most crucial campaigns or analyses receive your attention first.

Highlight your preferred data visualization tools and explain why you find them effective. Talk about your experience using tools such as Tableau, Looker, or Google Data Studio, and provide examples of how they helped communicate insights visually to stakeholders in a clearer way.

Discuss your methodology for analyzing audience data to identify segments effectively. Talk about the data points you consider, such as demographics, interests, and behaviors, and how those insights would guide marketing strategies, content creation, and ad targeting decisions.

Your answer should include key metrics like CTR, CPC, CPA, and ROAS but should also address qualitative metrics such as user engagement and satisfaction. Explain how you balance these different metrics to provide a holistic view of a campaign's performance.

Here, mention specific sources you follow, such as industry blogs, forums, webcasts, or conferences. Talk about your proactive approach to learning—taking courses, participating in workshops, or engaging with peer networks—to ensure you stay at the forefront of industry changes.

In your response, provide a specific example of an A/B test you ran, detailing the hypothesis, the variants you created, and the metrics you tracked. Describe the outcomes, what you learned, and how you applied those insights to improve future campaigns.