Reporting Analyst, Consumer Services

The ideal candidate will possess a strong understanding of data analysis, reporting, and visualization, as well as the ability to effectively communicate insights to clients. In this role, you will be responsible for creating and maintaining reports that directly impact client business performance, conducting deep dive analyses, and translating complex data into actionable insights. You will work directly with marketing tools and platforms to access campaign data, build compelling presentations, and identify optimization opportunities across multiple channels.

Responsibilities

Build and maintain automated reports for eComm, B2B, and B2C with performance metrics across all marketing channels based on client needs and our recommendations; Access and analyze data directly from marketing platforms (Meta Business Manager, Google Ads, Google Analytics, etc.) to identify meaningful performance insights; Create and update weekly, monthly, and quarterly performance decks with a focus on data storytelling and actionable recommendations; Conduct deep dive analyses to uncover optimization opportunities and answer specific business questions; Transform complex data into clear, concise visualizations that effectively communicate performance to clients and internal stakeholders; Utilize Google Sheets and other tools for sophisticated data manipulation and analysis; Simplify and present findings eloquently with a focus on connecting data to business outcomes; Employ AI technologies to enhance reporting capabilities and generate deeper insights; Utilize and leverage Power Digital's Nova ecosystem to enhance reporting capabilities

Requirements

Proficiency in spoken and written English at an advanced level; Bachelor's degree in Marketing, Business Administration, Analytics, or a related field; 2+ years of experience in marketing analytics or digital marketing; Strong understanding of digital marketing metrics, campaign structures, and customer journey; Familiarity with major digital marketing platforms (Meta, Google Ads, Google Analytics, etc.); Advanced Excel/Google Sheets skills for data manipulation and analysis (pivot tables, VLOOKUP, etc.); Experience with data visualization tools such as Looker, Tableau, PowerBI, or Google Data Studio; Understanding of statistical concepts like regression modeling, test/control analysis, etc.; Experience creating performance presentations and conveying data narratives; Ability to work independently and as part of a team; Strong attention to detail and analytical thinking; Self-motivated and able to work under pressure and meet deadlines