Senior Data Analyst

We are looking for a  Senior Data Analyst  with analytical problem-solving across Leh Lah’s Affiliate & Influencer Marketing ecosystem. This role goes beyond reporting and dashboards — it requires  deep diagnostic thinking, metric ownership,  and the ability to  translate ambiguous business problems into data-driven decisions.

As a Senior Analyst, you will work closely with teams to evaluate creator performance, and efficiency, while also contributing to the analytics foundations of Leh Lah’s internal platform.

Key Responsibilities:

End-to-end analysis of influencer and affiliate performance across metrics, and diagnose why performance changes occur across creators, campaigns, and platforms.
Define, validate, and evolve creator-level and campaign-level performance metrics, ensuring alignment with revenue outcomes and avoiding reliance on vanity indicators.
Deep dives to identify inefficiencies in creator mix, content, strategy, and provide clear, actionable recommendations.
Design and maintain dashboards and automated reports used by business teams and leadership, ensuring metric consistency across Excel/Google Sheets, BI tools, and internal dashboards.
Work closely with Creator Management, Marketing, and Product teams to translate business problems into structured analytical frameworks and present insights with clarity and confidence.
Ensure data accuracy and reliability by performing data quality checks, reconciliation, and anomaly detection across multiple data sources, and work with the Tech team to resolve data gaps or inconsistencies.
Identify recurring analytical questions and convert them into repeatable analyses, frameworks, or dashboards to improve decision-making efficiency and consistency.
Maintain clear metric definitions, analytical logic, and documentation to ensure analyses are interpretable and reusable.
Take responsibility for defined analytics problem areas from analysis through insight generation

Must-Have

Skills:

Hands-on experience with SQL for data extraction and analysis.
Proficiency in MS Excel (Pivot Tables, Advanced Formulas, Data Cleaning).

Experience with BI tools like Tableau or Power BI.
Knowledge of performance analysis metrics in e-commerce or affiliate marketing.
Strong analytical mind set with the ability to translate data into business insights.
Good communication and presentation skills

Nice-to-Have

Skills:

Familiarity with affiliate marketing platforms, influencer analytics, or SaaS products.

Experience with basic understanding of database structures.
Exposure to  Python  for data analysis, automation, or exploratory modelling.
Experience working with large datasets and reconciling data across multiple sources.
Understanding of creator pricing, payouts, and ROI-driven performance models.

Education:

Bachelor’s degree in Business, Statistics, Computer Science, Data Analytics, or related field.