Business Intelligence Associate

Responsibilities:

• Monitor the health of the business via tools such as our anomaly detection software and other dashboards and keep cross-functional stakeholders aligned on the health of key input metrics.
• Review the release dashboards to assess if they are linked to any spend reduction across the platform, then communicate the next steps to the requester.
• Lead the monthly review process with stakeholders to track the key drivers of our spend on an ongoing basis. Be intimately involved in the quarterly and annual planning process and be aware of what assumptions went into the plan.
• Cross-functionally manage workstreams with account stakeholders to complete analyses and troubleshooting
• Executive Communication:
  • Share insights and learnings on long-term and short-term trends with a broader set of stakeholders to inform strategic planning, and GTM execution.
  • Provide regular updates in Steering Committees
• Process Improvement
  • Reduce blind spots by developing new monitoring frameworks and incorporate new data sources into existing monitoring processes
  • Collaborate with Product Management and external vendors to improve existing anomaly detection solutions, based on KPI performance
• Rollout and Recovery Tracking:
  • Work closely with the monetization product team to track and quantify the impact of product releases.

Qualifications:

• Education: Bachelors or masters degree in computer science, Statistics, Mathematics, Engineering, or a related field.
• Experience: Proven experience (2 -5 years) data analysis, or a similar role.
• Technical Skills:
  • Proficiency in Excel, MySQL, Looker
  • Strong knowledge of data manipulation and analysis.
  • Familiarity with anomaly detection techniques, including supervised and unsupervised learning methods, time-series analysis, and outlier detection algorithms.
  • Understanding of big data technologies and tools like Hadoop, Spark, or cloud platforms (AWS, Google Cloud, etc.) is a plus.
• Problem Solving: Strong analytical thinking, problem-solving skills, and the ability to work with ambiguous data.
• Communication Skills: Ability to present complex findings in a clear, concise, and actionable way to technical and non-technical stakeholders.
• Attention to Detail: High level of accuracy and attention to detail in all work.
• Night Shift: Willing to work in PST hours.

Preferred Qualifications:

• Understanding of big data technologies and tools like Hadoop, Spark, or cloud platforms (AWS, Google Cloud, etc.) is a plus.
• Good to have AdTech experience as well.
• Knowledge of Excel macro/VBA, python