Lead Analyst

Lead Analyst _Full-time_Remote

Job Title: Lead Analyst
Experience: 10+ YearsLocation: RemoteShift Timing: 4:00 PM 1:00 AMEmployment Type: Full-time

Job Description:
We need a data-driven professional with strong analytical skills and experience handling digital marketing data. Someone whocan navigate various platforms (web analytics, ad platforms and other allied data) and turn that into meaningful insights forbusiness stakeholders.

Its more of a hybrid Digital/Marketing Analytics role rather than a purely web analyst or strictly data analyst position. Heres why:

1. Focus on Multiple Digital Platforms
Theyre looking for someone who can work across GA4 (or equivalent), plus other MarTech/AdTech data sources (CRM, ads,surveys, etc.).A pure web analyst role typically focuses on website data (e.g., GA, site funnels, user behavior). Here, the scopeextends to broader marketing campaigns and channels.

2. Wider Data Landscape
They highlight SQL and BigQuery, indicating a focus on large-scale data processing and integrating data from multiple sources.Unlike a general data analyst, who may not specialize in marketing performance metrics or digital marketing platforms, this rolelikely involves analyzing campaign effectiveness, customer behavior, and cross-channel attribution using advanced data queries.

3. Marketing & Performance Insights
The role involves translating data into actionable insights to optimize campaigns and improve ROI, indicating a marketing analyticstilt.This goes beyond just tracking website metrics or crunching numbers; it requires an understanding of marketing funnels conversions, and campaign KPIs

Skill Set
1. Digital Marketing AnalyticsExperience with web analytics tools (GA4, Adobe Analytics, etc.)Familiarity with common marketing channels (paid ads, SEO, email) and how their data is tracked2. SQL & Data QueryingProficiency in extracting and manipulating data using SQL (BigQuery or similar databases).Ability to optimize queries and handle mid-to-large datasets.3. Multi-Source Data WranglingComfortable cleaning, merging, and normalizing data from different platforms (CRM, ad platforms, surveys). Able to addressoutliers and inconsistencies in datasets4. Data Visualization & ReportingSkilled in creating dashboards and reports with Looker Studio, Tableau, Power BI, or equivalent tools. Ability to present complexdata in a clear, actionable format5. Basic Statistical MethodsUnderstanding of fundamental statistics (e.g., hypothesis testing, regression basics).Capable of running A/B tests and validatingdata findings6. Marketing Performance MetricsKnowledge of KPIs such as CTR, CPA, ROI, LTV, etc.Ability to connect these metrics back to broader business objectives7. Communication & Stakeholder ManagementExcellent at translating data insights into non-technical language.Experience working cross-functionally with product, marketing, ordata engineering teams8. Critical Thinking & Problem-SolvingStrong analytical mindset to spot trends and derive strategic recommendations.Creative in finding data-driven solutions tomarketing challenges9. Adaptability & Continuous LearningWillingness to explore new analytical tools and stay updated with MarTech/AdTech trend.Eager to learn and leverage evolving datamethodologies to drive better results. -----------------------If you are interested, please share your updated resume along with the following details for the next steps:

# Your full name ( First : Middle : Last ) ( All expanded ):
# Present Employer Name & Work Location:# Permanent / Contract Employee:# Current Location:# Highest Qualification (University Name and Passing year):# Total experience:# Current CTC and take home:# Expected CTC and take home:# Official Notice Period:# Are you serving notice period if yes then mention LWD (Last Working Day):# Any offer you are holding (if yes please share the offer amount):# Must have experience with web analytics tools(GA4 and UA ):# Must have skilled in creating dashboards and reports with Looker Studio, Tableau, Power BI, or equivalent tools:# Must have proficiency in extracting and manipulating data using SQL/ Big Query:# Must have communication & Stakeholder Management: