Data Analyst

Background:

Exon is a global leader in intent marketing. We operate Dozens of websites that drive high-value customer acquisition. We connect millions of high-intent consumers with knowledge, key insights, and necessary tools to empower them with the confidence to make informed decisions about products and services.

Exon has grown ten times year over year in the past four years and now has become one of the leading aggregators in the retail industry.

Our team at Exon Media is made up of 40 industry experts with a passion for e-commerce and a dedicated work ethic.

We operate sites in over 20 countries in the EU, US, CA, and around the world.

About the role:

· Gather and analyze data from various sources to identify trends, patterns, and key performance indicators (KPIs).

· Utilize statistical methods to interpret and analyze complex data sets, providing valuable insights.

· Conduct market research to understand industry trends, consumer behavior, and competitive landscapes.

· Translate market insights into actionable recommendations to optimize marketing campaigns and improve overall effectiveness.

· Develop and maintain dashboards and reports to monitor performance.

· Implement predictive modeling techniques to forecast marketing outcomes and trends.

· Plan and analyze effective A/B tests in order to improve business KPIs.

· Provide data-driven recommendations for optimizing marketing budgets and resource allocation.

· Create compelling data visualizations and presentations to communicate insights effectively to stakeholders.

· Work closely with cross-functional teams to ensure data-driven decision-making is integrated into strategies.

Job responsibilities:

· Minimum 3 years of experience as a Data Analyst.

· Solid understanding of marketing principles, strategies, and the ability to align data analytics with marketing objectives.

· Proficient in SQL.

· Experience with data visualization tools such as Tableau.

· Excellent communication skills with the ability to convey technical findings to non-technical stakeholders.

· Strong presentation skills.

· Ability to work collaboratively in a cross-functional team environment.

· Problem-Solving Skills: Demonstrated ability to identify challenges and develop innovative solutions using data-driven approaches.

· Experience with programming languages such as Python - advantage.

· Bachelor's or higher degree in Statistics, Data Science, Engineering, Economics or a related field.