Strong SQL skills with experience querying BigQuery or similar cloud databases. Ability to write optimized queries and handlemid-to-large datasets. Demonstrated experience cleaning, merging, and normalizing data from multiple sources (CRM, ad platforms, surveys, and web analytics).

Experience building dashboards and visual reports in Looker Studio, Tableau, Power BI, or equivalent tools. Solid understanding of digital marketing performance metrics: CTR, CPA, CPC, ROI, LTV, ROAS, conversion rate, and their connection to business objectives.

Understanding of fundamental statistical concepts: hypothesis testing, confidence intervals, regression basics, and A/B testdesign and validation. Ability to present complex data insights clearly and concisely to cross-functional, non-technical stakeholders.

Solid critical-thinking and problem-solving skills, with the ability to identify trends, flag anomalies, and derive strategicrecommendations.Good to Have Experience with cross-channel attribution modeling and multi-touch attribution frameworks.

Familiarity with Python or R for data analysis, automation, or advanced statistical modeling. Hands-on experience with tag management systems such as Google Tag Manager or Tealium and event tracking implementation.

Exposure to data pipeline or ETL workflows and understanding of how marketing data flows from source to warehouse. Experience working in an agency or client-side environment managing analytics for multiple brands or campaigns simultaneously.

Familiarity with CDPs, DMPs, or marketing automation platforms. Experience with SEO analytics tools such as SEMrush, Ahrefs,



and Google Search Console in conjunction with broader marketing performance analysis.

Red Flags

Pure web analyst profile with no experience outside website data. This role requires working across multiple marketing datasources, not just site analytics. No SQL experience or only surface-level familiarity. The role requires writing and optimizing queries on BigQuery-scale datasets, not just running pre-built reports.

Candidate who can build dashboards but cannot explain the business story behind the data. Visualization without insight isnot enough. General data analyst with no exposure to digital marketing platforms, campaign data, or marketing KPIs.

Purely technical profile with no stakeholder communication experience. The role requires translating data into businesslanguage for non-technical teams. Candidate with a task-execution mindset who waits for instructions rather than proactively identifying trends, anomalies, and optimization opportunities.

No familiarity with A/B testing or basic statistical validation. The role requires someone who can design tests and validatefindings, not just pull numbers.Key Focus: A senior digital and marketing analytics professional who combines GA4, SQL/BigQuery, multi-source marketingdata, dashboarding, experimentation, attribution, and strong business communication.

Experience Required

8 - 15 years

Compensation

INR 2,000,000 - 2,800,000 (Yearly)

Pay: ₹1,510,074.13 - ₹2,515,008.53 per year

Experience

- Digital marketing: 6 years (Required)
- GA4 , SQL/ BigQuery: 6 years (Required)

Work Location: In person

📌 Lead Analyst - Digital & Marketing Analytics (Gurugram)
🏢 SnapFind
📍 Gurugram