As an Analyst, youโll be the frontline hero for marketers, resolving critical data problems that drive their strategic decisions. Your work ensures our platform delivers accurate, actionable insightsโdirectly impacting client success and our productโs evolution. Solve issues, engage customers, drive product excellence, and become a platform expert.
In this role, leverage expertise in Adobe Analytics to extract actionable insights and drive strategic decision-making for our clients. Key responsibilities include configuring and maintaining tracking setups, generating reports, analyzing data to identify trends, collaborating with teams, crafting compelling data stories, and monitoring data quality.
As a Mid-level Data QA, you will play a crucial role in ensuring the integrity and quality of data within our emerging projects. Your expertise will enhance our data pipelines, enabling us to drive innovation and transformation through data excellence. Collaborating with diverse teams, you will validate and normalize structured data to meet high quality standards, thus supporting our commitment to delivering cutting-edge solutions powered by AI.
Improvado is seeking a skilled Data Visualization Developer for our Professional Services team to transform complex marketing data into clear, actionable insights using industry-leading visualization platforms. The ideal candidate will have expertise in Looker Studio, Tableau, and Power BI to create compelling visualizations that drive marketing strategy and campaign optimization.
Weโre looking for an experienced Data Analyst with deep expertise in Power BI and SQL to join our multi-disciplinary team. Youโll work directly with clients to turn raw data into clear insights, intuitive dashboards, and high-quality reports that drive decision-making. Candidate should be detail-oriented, communicates clearly, and thrives in a fast-paced consulting environment.
At Infinite Lambda, analytics engineers turn vast amounts of data into insightful, easy-to-use, automated business intelligence reports, working closely with both the internal team of engineers and our partnersโ projects teams to deliver reports that empower business owners to make better and more informed decisions. This role is an opportunistic hire for late Q3.2025.
Shape the future of how Wikimediaโs vast data ecosystem serves both internal teams and the global community. Drive the Data Platform Engineering teamโs effort to unify data systems across the Wikimedia Foundation to deliver scalable solutions that support internal and external platform users and the open knowledge movement.