9D Technologies & Imagination AI

Information Technology and Services

SeniorAnalyticsEngineer

$4500–7500k ~AI est. Rawalpindi, Punjab, Pakistan FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Analytics Engineer at 9D Technologies & Imagination AI. Skills: App analytics, GA4, BigQuery, SQL. Own end-to-end analytics. Partner to define KPIs”

Industry & Context.

Information Technology and Services
Problems you'll solve

Problem-solving skills

What They're Looking For.

Must Have

Hands-on understanding of Google Analytics 4, Solid SQL skills, Experience working with BigQuery, Ability to analyze raw event-level app data, Understanding of app analytics metrics, Ability to calculate and explain LTV, Clear understanding of attribution models, Ability to validate tracking implementations, Analytical thinking, Problem-solving skills, Attention to detail, Excellent communication skills, Stakeholder management skills, Data storytelling skills

Nice to Have

PhD preferred

What You'll Do.

Own end-to-end analytics

Partner to define KPIs

Create event tracking plans

Ensure GA4 implementation

Build and analyze funnels

Analyze app performance

Understand and analyze attribution

Ensure attribution data captured

Evaluate campaign quality

Use SQL to analyze data

Identify data quality issues

Build recurring reports

Build self-serve reporting views

Translate app behavior

Identify product drop-offs

Identify growth opportunities

Identify retention risks

Identify user behavior patterns

Identify performance gaps

How You'll Work.

Team & Collaboration

Partner with Product; Partner with Growth; Partner with Marketing; Partner with Engineering; Partner with leadership

Communication Scope

Data storytelling

Full Job Description

We are looking for a strong Senior Analytical Engineer who can independently lead app analytics end to end. This person will own measurement, tracking validation, funnel analysis, LTV analysis, attribution reporting, and performance insights for mobile/web applications. The ideal candidate should be comfortable acting as the main analytics owner for apps, partnering with Product, Marketing, Growth, Engineering, and leadership teams to drive data-backed decisions. * Own end-to-end analytics for mobile/web applications, from tracking design to business insights. * Partner with Product, Growth, Marketing, Engineering, and leadership teams to define KPIs and measurement frameworks. * Create, review, and maintain event tracking plans for GA4 and other analytics tools. * Ensure accurate GA4 implementation for events, parameters, user properties, conversions, audiences, and campaign tracking. * Build and analyze funnels, cohorts, retention views, user journeys, conversion flows, and engagement patterns. * Analyze app performance using GA4 and raw event-level data stored in BigQuery. * Perform LTV, retention, churn, engagement, conversion, revenue, CAC, ROAS, and cohort analyses. * Understand and analyze attribution across paid, organic, referral, direct, and campaign sources. * Ensure source, medium, campaign, UTM, and attribution data are correctly captured and usable inside GA4. * Work with Marketing/Growth teams to evaluate campaign quality, conversion performance, acquisition sources, and user value. * Use SQL to extract, clean, transform, and analyze raw app event-level data in BigQuery. * Identify data quality issues in tracking, attribution, funnels, dashboards, or reporting logic and coordinate fixes. * Build dashboards, recurring reports, and self-serve reporting views for stakeholders. * Translate complex app behavior into clear, actionable recommendations for leadership and non-technical teams. * Proactively identify product drop-offs, growth opportunities, rete

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