Data Operations Analyst – Remote

We’re seeking a detail-oriented Data Operations Analyst with advanced Excel and Google Sheets expertise to transform large, unstructured datasets into clear, actionable insights.In this role, you’ll clean and standardize data from multiple sources, build structured reporting libraries, and generate performance reports highlighting key marketing and media KPIs.The ideal candidate is highly organized, thrives in data-heavy environments, and excels at turning complex raw inputs into reliable, easy-to-use reporting systems.Compensation & PerksSalary Range: ₱90,000 – ₱100,000/month (Final offer based on skills and experience matched to role requirements)Work Setup: 100% permanent work-from-homeBonuses:$25 monthly perfect attendance bonus Performance bonusAnniversary bonus (₱5,000 at 1 year; ₱10,000 at 2 years)$300 referral bonus per successful hirePaid Parental LeavePaid Time Off:7 holiday PTO days/year6 regular PTO days/yearHealth Coverage: Comprehensive HMO planWhat You’ll DoClean, organize, and standardize incoming raw datasets from multiple sources (Amazon DSP, ROS, etc.) into usable formats.Build and maintain a library of naming conventions, delimiters, and structured datasets for consistent reporting.Create and automate pivot tables and calculated fields for KPIs (e.g., SAC, CTR, conversion rates, post-click vs. post-view performance).Generate daily and weekly Excel-based reports segmented by placements, channels, and shows — enabling quick week-over-week trend comparisons.Build custom PowerPoint/Google Slides decks to summarize performance data with visualizations and client-provided context.Document SOPs for recurring reporting processes and data handling procedures.Support ad hoc data pulls and assist in preparing reports for premieres, campaigns, and high-priority launches.What We’re Looking ForAdvanced Excel/Google Sheets expertise (pivot tables, complex formulas, custom calculations, data cleaning).Experience analyzing large, unstructured datasets from multiple sources (e.g., Amazon Advertising, retail app data, DSP/ROS feeds).Strong ability to standardize naming conventions and build structured data libraries.Proficiency in building calculated fields and performance metrics (CPM, CTR, CVR, SAC, Gross Adds).Ability to generate regular performance reports and organize data for easy trend analysis.Excellent organizational skills and attention to detail; able to manage repetitive data tasks with consistency.Familiarity with communication tools like Slack and Gmail.Nice-to-HavesExperience with SQL (joins, grouping, data transformations).Exposure to BI tools (Looker, Tableau, Google Data Studio).Basic scripting skills in VBA or Python for automation.Familiarity with performance marketing KPIs or OTT streaming data.Why You’ll Love Working HereAt GrowthAssistant, you’ll collaborate with a diverse, talented team, sharpen your skills with global clients, and make an impact in your career. We value your growth and recognize your contributions every step of the way.Apply today and take the next step in your career with GrowthAssistant!