Senior Data Analyst

Brandlight

. Analyze marketing performance on behalf of clients and own attribution and marketing effectiveness analyses .

Posted 9/15/2026full-timeTel Aviv • IsraelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics with a focus on marketing performance, product measurement, and client decision-making. Proficient in SQL, Python or R, and statistical methods to deliver actionable insights and influence business strategies.

Highest-signal resume keywords

Advanced SQL SkillsStrong Python SkillsHands-On Product Analytics ExperienceStatistical FoundationsStrong Visualization Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsStatistical AnalysisRegressionHypothesis TestingExperimental DesignModel ValidationEvent-Based AnalyticsAttribution AnalysisMarketing MeasurementBehavioral Segmentation

Soft Skills

Proactive OwnershipCuriosityAttention to DetailStakeholder Communication

Tools & Technologies

Analytical WarehousesVersion-Controlled Analytics WorkflowsAI Chat Analysis

Industry Keywords

Advertising TechnologyConsumer IntelligenceMarket ResearchEnterprise SaaSLongitudinal Behavioral Data

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Analyze marketing performance on behalf of clients and own attribution and marketing effectiveness analyses
Turn marketing measurement into client decisions
Understand how customers use the Brandlight product
Guide product decisions through evidence and build a reliable foundation for product measurement
Analyze how people use AI chats using intent taxonomies, behavioral segments, and related models
Produce robust, representative insights from panel and conversational data
Own analytical projects end to end, from defining the question and preparing data to developing analytical models, validating findings, and influencing decisions
Own analytical quality and communication

Requirements

What you’ll need

4+ years of experience in data analytics, with a track record of independently delivering analyses that influenced marketing, product, or business decisions
Advanced SQL skills
Strong Python or R skills
Hands-on product analytics experience with event-based platforms
Strong statistical foundations, including regression, hypothesis testing, confidence intervals, experimental design, and model validation
Strong visualization and stakeholder communication skills
Proactive ownership, curiosity, and attention to detail
Advantage: Experience analyzing panel or longitudinal behavioral data
Advantage: Hands-on marketing analytics experience (MTA, MMM, and incrementality measurement, etc.)
Advantage: Experience in advertising technology, consumer intelligence, market research, or enterprise SaaS, with familiarity with analytical warehouses and version-controlled analytics workflows

Benefits

Comp & perks

No specific benefits or compensation extras stated