Role Overview:
Our client, an enterprise digital marketing and analytics company is looking for a Senior Analyst – Paid Media to join their team. This role will focus on analyzing cross-channel marketing data, identifying optimization opportunities, and delivering actionable insights to improve business outcomes. The ideal candidate has strong analytical skills, experience with marketing platforms and data sources, and the ability to translate complex data into clear, compelling business narratives.
Key Responsibilities:
- Analyze data from various marketing platforms (Google Ads, Meta Ads, Programmatic, Email platforms, Adobe Analytics) to identify trends, performance gaps, and growth opportunities.
- Develop actionable insights to optimize marketing strategies across multiple channels.
- Track and interpret key marketing performance indicators (KPIs) such as CPA, ROAS, LTV, Conversion Rates, CAC, and align them with business goals.
- Utilize SQL (BigQuery, Snowflake, Redshift) to query and analyze marketing and performance data.
- Build compelling data visualizations and dashboards using Power BI, Tableau, Looker, and Google Data Studio to communicate insights effectively.
- Apply marketing measurement frameworks such as attribution modeling, incrementality analysis, media mix modeling (MMM), and A/B testing to assess marketing effectiveness.
- Leverage statistical techniques (e.g., confidence intervals, statistical significance, correlation vs. causation) to ensure accurate interpretation of results.
Required Qualifications & Skills:
- 4+ years of experience in marketing analytics, digital marketing, or a related field.
- Strong understanding of digital marketing platforms (Google Ads, Meta Ads, Programmatic, Email platforms, Adobe Analytics).
- Expertise in data analysis, performance measurement, and marketing insights generation.
- Hands-on experience with SQL and cloud-based databases like BigQuery, Snowflake, or Redshift.
- Proficiency in data visualization tools (Power BI, Tableau, Looker, Google Data Studio).
- Knowledge of marketing measurement frameworks (MMM, attribution, incrementality analysis, A/B testing).
- Solid understanding of marketing funnel metrics and business KPIs.
- Basic knowledge of statistical analysis for marketing analytics.
- Strong problem-solving skills with an analytical and data-driven mindset.