Senior Data Analyst - Operations

Location: Bali in office 
About us:

TyrAds is a leading tech-driven loyalty and rewards platform that partners with businesses to create meaningful and rewarding experiences for their customers. With millions of users across our platforms, we specialize in innovative AdTech solutions powered by big data, machine learning, and deep learning technologies.
Our systems process over 10,000 events per second, delivering real-time insights at scale. We build seamless user experiences across web, Android, and iOS, while leveraging ML/AI to power personalization and advertising effectiveness.
 
We are a team of 90+ employees worldwide and growing, guided by values of transparency, ownership, learning from mistakes, and respect for diverse cultures. Our product development follows Agile methodologies with weekly releases and collaboration tools such as GitHub, Jira, and Slack.

TyrAds is looking for a Senior Data Analyst to lead analytics for our Operations, Finance and Customer Support teams. You'll also own the company-wide business metrics and data dictionary, so every team measures the business the same way.

Responsibilities

What you'll do

• Act as the senior analytics partner to the Operations, Finance and Customer Support leads, and turn their questions into analyses and recommendations.
• Support Finance with revenue reporting, partner reconciliation and month-end close.
• Build and own Tableau dashboards for key operational and financial KPIs.
• Define and govern company-wide business metrics, and get agreement on definitions across teams.
• Build and maintain the company's data dictionary.
• Work with data engineering to build certified metrics into the data platform.
• Monitor data quality on critical datasets and mentor junior analysts.

Requirements

What we're looking for

• 5+ years in data or business analytics, supporting operations or finance teams.
• A track record of defining company-wide KPIs or building a data dictionary.
• Expert SQL and advanced Tableau.
• Strong finance fundamentals (revenue, margin, reconciliation).
• The ability to influence senior stakeholders and explain data clearly to non-technical  audiences.

Nice to have

• Databricks, dbt, ClickHouse or Airflow.
• Data catalogue or governance tools (e.g. OpenMetadata).
• Python.
• An AdTech, gaming or rewards background.