I am an experienced Data QA specializing in Paid Social and Digital Media Platforms. With a passion for ensuring data accuracy and integrity, I conduct comprehensive assessments on diverse datasets, including those from prominent paid social media accounts such as Facebook, Twitter, Snapchat, LinkedIn, Reddit, TikTok, and Pinterest. Additionally, I work with data from digital platforms like Amazon, Xandr, Nextdoor, GroundTruth and TradeDesk.
My expertise lies in using Excel and Google Sheets to meticulously scrutinize data on a daily, weekly, monthly, quarterly, and annual basis. In my role, collaboration is key, and I actively engage with cross-functional teams through platforms like Slack and Microsoft Teams to address inconsistencies and errors promptly.
I leverage advanced tools such as Tableau and Power BI to extract valuable insights from performance metrics obtained through APIs. This allows me to contribute to data trend analysis and make data-driven recommendations that support strategic decision-making.
One of my primary responsibilities is to create strong validation processes, which are like checks to catch mistakes in the data. This helps maintain data accuracy and ensures the data is reliable. I also take the time to document these processes well so that everyone knows how to handle data correctly. This way, organizations can make smart decisions based on trustworthy data.
In a nutshell, my job as a Data QA for Paid Social and Digital Media Platforms involves carefully looking at data, working together with others, analyzing data, and improving processes to help with decision-making in the ever-changing world of digital marketing.
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