Data Analyst

As a Data Analyst at Adlook, your main responsibilities include performing in-depth data analyses using SQL and Python with databases like Google Big Query, assisting teams by delivering actionable insights, and developing customized dashboards and reports using tools such as Tableau. You'll collaborate closely with Sales and Platform Managers to enhance our analytics services and conduct meta-analyses to extract insights on campaign performance.

To qualify for the Data Analyst role at Adlook, candidates should possess 1-3 years of relevant experience in data analytics. Proficiency in SQL is essential, along with experience in data visualization tools like Tableau. A Bachelor’s degree in a quantitative field is required, with advanced degrees or certifications in analytics being advantageous. Familiarity with GCP services like BigQuery and web analytics tools such as Google Analytics will be beneficial.

In the Data Analyst role at Adlook, you'll work with several tools and technologies, including SQL for database queries, Python for data manipulation, and data visualization platforms like Tableau and Looker Studio for reporting. Familiarity with Google Cloud Platform services, particularly BigQuery, will also play a significant role in your daily tasks.

The work environment for a Data Analyst at Adlook is dynamic and fast-paced, offering a hybrid working model with flexibility. You will be surrounded by a team of open-minded professionals passionate about internet technology and advertising solutions, all while being part of a rapidly growing international company.

Adlook offers numerous opportunities for professional growth for Data Analysts. You will have the chance to work on significant projects that not only enhance your skills but also provide exposure to cutting-edge technologies in the online advertising sector. The company's supportive culture encourages continuous learning to keep pace with industry advancements.

In your response, highlight specific tools you've worked with, such as Tableau or Looker Studio, and provide examples of how you've utilized these tools to create impactful visualizations that guided decision-making.

Discuss your methodology for managing and analyzing large datasets, including the SQL queries you typically utilize and any specific techniques you employ to ensure accuracy and relevance in your analysis.

Explain how you connect the data analysis process back to business objectives, mentioning your collaboration with cross-functional teams to identify key metrics and goals that your analyses should support.

Share your strategy for tackling ambiguity with data by employing investigative techniques and looking for patterns or trends that could provide clarity. Showcase your critical thinking and problem-solving skills.

Choose a project where your contributions made a significant impact. Discuss your role, the data you analyzed, the insights you provided, and the positive outcomes that resulted from your work.

Describe how you've applied A/B testing in your work, including how you designed experiments and analyzed the results to draw meaningful conclusions about user behavior or marketing strategies.

Detail the steps you take to verify data quality, such as conducting regular audits, using validation techniques, and cross-referencing data sources to ensure your final reports are reliable.

Illustrate your ability to simplify complex concepts by discussing a specific instance where you made your findings approachable and useful for stakeholders not familiar with data analysis.

Talk about the various ways you stay updated on industry trends, such as attending workshops, participating in webinars, or reading relevant literature, and how you apply this knowledge to your work.

Explain your motivation for applying, including what excites you about Adlook as a company and how you see your skills and experience contributing to the growth and success of the team.