Marketing Data Analyst

Floowi

1d•Remote

About The Position

The Data Analyst will be responsible for collecting, analyzing, and interpreting large datasets to evaluate historical marketing performance and support future business strategies. This role focuses on building and maintaining reporting dashboards, transforming data from multiple sources, creating actionable insights, and supporting decision-making across agency and client accounts. The position collaborates closely with cross-functional teams to develop reports, improve data processes, and ensure data quality and accuracy. Success in this role requires strong analytical skills, advanced SQL expertise, and experience working with data visualization and cloud-based analytics platforms.

Requirements

Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or equivalent professional experience.
Expert-level proficiency in SQL and Excel.
Experience building business intelligence dashboards and performance reporting solutions using Tableau, Google Data Studio, or similar visualization tools.
Experience working with cloud platforms, data warehouses, data lakes, and large-scale analytics environments, including Snowflake and BigQuery.
Ability to connect and integrate data sources through APIs and manage data flows across reporting and analytics platforms.
Experience with digital marketing, advertising platforms, marketing metrics, and campaign performance reporting.

Nice To Haves

Experience with Python, R, machine learning, relational databases, or NoSQL databases is a plus.

Responsibilities

Collect, analyze, and interpret data from media platforms, web analytics tools, CRM systems, accounting platforms, and other business data sources.
Build, maintain, and optimize reporting dashboards and data visualization solutions using platforms such as Tableau and Google Data Studio.
Transform, blend, and visualize data using statistical methods and analytical tools to identify trends, outliers, and business opportunities.
Write queries and code to connect, extract, and manage data across multiple platforms, databases, and data warehouses.
Collaborate with cross-functional teams to translate business questions into actionable reports, dashboards, and recommendations.
Monitor and improve data quality, collection processes, and reporting accuracy while supporting ad-hoc analytics projects and business requests.
Communicate analytical findings and educate stakeholders on data relevance, performance metrics, and statistical significance.