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Weekday AI (YC W21)
Weekday AI (YC W21)

Hybrid Digital/Marketing Analytics

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Marketing strategies
Data
Testing
+25

Permanent role
8 days ago
Apply now

This role is for one of the Weekday's clients

Min Experience: 5 years

Location: Remote (India)

JobType: full-time

We're looking for a data-driven professional with strong analytical skills and a proven track record of working with digital marketing data across multiple platforms. This is a hybrid role that blends digital analytics with marketing performance analysis—ideal for someone who thrives at the intersection of data, marketing, and business strategy.

Requirements

Key Responsibilities:

  • Cross-Platform Analytics
  • Analyze data across web analytics platforms (e.g., GA4, Adobe Analytics) as well as MarTech/AdTech sources such as CRM systems, ad platforms, surveys, and email campaigns.
  • Consolidate data from multiple digital channels to provide a unified view of marketing performance.
  • Advanced Data Querying & Processing
  • Write and optimize SQL queries to extract and manipulate large datasets from tools like BigQuery or other cloud databases.
  • Clean, normalize, and merge datasets from disparate sources to support robust analysis.
  • Performance Measurement & Insights
  • Evaluate marketing campaigns, customer journeys, and conversion funnels.
  • Translate complex data into clear business insights to inform strategy, improve ROI, and optimize campaign effectiveness.
  • Dashboarding & Visualization
  • Create and maintain dashboards and reports using tools like Looker Studio, Tableau, or Power BI.
  • Present insights in a clear, visual, and actionable format tailored to different stakeholders.
  • Marketing Metrics Expertise
  • Analyze and report on KPIs such as CTR, CPA, ROI, LTV, and more.
  • Align performance metrics with overall business and marketing objectives.
  • Testing & Statistical Analysis
  • Apply basic statistical methods including A/B testing and hypothesis validation.
  • Interpret results to guide data-backed decision-making.
  • Stakeholder Communication
  • Collaborate with cross-functional teams across marketing, product, and data engineering.
  • Communicate findings effectively to both technical and non-technical audiences.
  • Problem-Solving & Strategic Thinking
  • Use critical thinking to identify trends and anomalies, offering proactive recommendations.
  • Drive innovation through creative, data-driven solutions.
  • Continuous Learning & Adaptability
  • Stay updated on emerging MarTech/AdTech tools and trends.
  • Embrace new analytical methods to enhance data capabilities and business outcomes.

Key Skills:

Google Analytics (GA4) | Adobe Analytics | SQL | BigQuery | Looker Studio | Tableau | Marketing KPIs | Data Visualization | A/B Testing | CRM Data | Ad Platform Analytics

About Weekday AI (YC W21)

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