Marketing, Ops Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Manage reporting and analytics deliverables independently.

• Develop and sustain reports, datasets, and metrics that link advertising expenditure to funnel performance, encompassing spend, CPL, CPA, leads, applications, and enrollments.

• Create and maintain Power BI dashboards and recurring reports, including data models and DAX calculations.

• Design intuitive dashboards and documentation, automating manual reporting wherever feasible.

• Write and enhance SQL queries.

• Contribute to data models and pipelines in Databricks, facilitating the preparation of clean, governed data for reporting and AI applications.

• Test and scale AI-driven analytics, such as automated summaries, natural-language data queries, and intelligent reporting workflows.

• Analyze performance metrics related to funnel, cohort, channel, and conversion, identifying potential drivers.

• Establish suitable analytical methodologies for specified business inquiries.

• Assist with LTV/ROAS, forecasting, experiments, and Marketing Mix Modeling efforts.

• Convert insights into clear, actionable recommendations.

• Clarify business inquiries from stakeholders, manage expectations, deliver results on schedule, and communicate findings effectively.

• Validate and reconcile data from ad platforms, CRM, and web analytics sources.

• Aid in tagging and event-data verification, promptly escalating data issues as necessary.

• Collaborate with COO stakeholders to ensure accurate and timely reporting.

• Promote dashboard and analytics adoption while minimizing manual and ad-hoc reporting requests.

⛳️ Requirements

• A Bachelor's degree in Economics, Mathematics, Statistics, Finance, Operations Research, Engineering, Marketing, Business, or a related discipline.

• Over 2 years of experience in marketing analytics, business analytics, or a similar analytical position.

• Proficient in SQL for data querying, joining, and transformation; familiarity with CTEs and window functions is advantageous.

• Practical experience in constructing reports and dashboards using Power BI or a comparable BI tool.

• Working knowledge of data modeling and DAX.

• Strong Excel capabilities.

• Experience in analyzing funnel, conversion, ROI, and marketing performance data.

• Ability to conduct exploratory analysis independently and derive actionable insights.

• Excellent communication and data storytelling skills.

• Capability to present findings clearly to business audiences.

• A service-oriented mindset with strong relationship-building skills; able to collaborate effectively across functions and manage multiple priorities with quick turnaround times.

• A curiosity and willingness to learn new tools and methodologies, including AI-enabled analytics.

• Comfortable navigating through ambiguity.

• Equal-opportunity employer committed to fostering a diverse and inclusive workforce.