Senior Analyst at Aarki, Inc.

Manila, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

0.0

Posted On

07 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, R, Analytical Thinking, Campaign Execution, Optimization, Testing Strategies, Data Query Tools, Attention To Detail, Monitoring Cadence, Anomaly Detection, Root-Cause Analysis, Performance Improvement, Client Outcomes, Structured Communication

Industry

Advertising Services

Description

About Aarki Aarki is a leading AI-driven mobile DSP that turns ad budgets into predictable, scalable growth. We power programmatic campaigns with supervised-AI bidding, real-time creative optimization, and full-funnel performance—serving 5 million bid requests per second across 10 billion devices. Our marketing team is lean, scrappy, and growth-obsessed. We’re looking for a content marketing powerhouse who can plan, create, and optimize content that ranks, engages, and converts. Role Overview This role operates with a high degree of independence and end-to-end ownership across all campaign functions, using strong analytical thinking to translate trends into clear insights and actions. The person in this position proactively drives performance improvements by initiating optimizations and developing testing strategies that enhance both campaign results and client outcomes, while communicating consistently with structure and clarity. They maintain a disciplined daily monitoring cadence- reviewing campaign health, identifying anomalies early, and escalating concerns promptly. The role also requires reliability during on-call rotations, responding to alerts quickly and taking immediate investigative action. Throughout, they keep managers and Customer Success proactively informed on account performance, test progress, emerging issues, and risks before being prompted. Key Responsibilities Own campaign execution end to end for assigned accounts, including setup, QA, launch, optimization, and ongoing pacing management, with full accountability for outcomes. Serve as a core executor of campaign setup, optimization, and pacing; proactively monitor daily campaign health (pacing, fraud rates, KPI shifts, creative performance, delivery health) and flag anomalies early. Proactively identify, investigate, and resolve performance issues without being prompted, bringing context, root-cause hypotheses, and recommended solutions. Execute advanced optimizations and testing strategies (with support from leads/managers as needed), interpret results, and translate learnings into next actions that improve performance and client outcomes. Identify risks early and communicate to managers and Customer Success with clear, structured updates on performance, test status, issues, and pacing changes-- before being asked. Respond quickly to system alerts, pacing issues, and Customer Success inquiries within defined SLAs; participate reliably in on-call rotations and maintain thorough logs of issues, actions, and handoffs. Document all tests and experiments (setup, methodology, results) in organized, reusable formats; contribute to internal playbooks, test summaries, and tooling feedback to scale team effectiveness. Collaborate directly with Customer Success and Product partners on account needs as required to unblock execution and improve outcomes. Mentor and support junior and peer analysts informally by reviewing work, troubleshooting issues, sharing best practices, and providing coverage when needed. Required Skills / Experience At least 3 years of hands-on analytics experience (required) Graduate of Mathematics, Statistics, Engineering, Computer Science, or any other analytical field. Comfortable in a fast-paced startup environment. Foundational knowledge and experience using SQL, Python, R, and related data query tools. High attention to detail and pride in execution quality

Responsibilities

The analyst will own end-to-end campaign execution, including setup, QA, launch, optimization, and pacing management, while proactively monitoring daily campaign health and flagging anomalies early. They must execute advanced optimizations and testing strategies, interpret results, and communicate performance updates, risks, and test statuses clearly to management and Customer Success.