Data Scientist, Marketing Analytics

Jobtailor; California (MO); On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor is seeking an analytics/data science professional to analyze marketing and business performance, build models for marketing impact, and deliver data-driven insights to executives. The role involves creating reporting infrastructure, budgeting guidance, and cross-team collaboration on marketing measurement.

The candidate should have strong SQL and Python skills, expertise in Bayesian methods and causal inference, and the ability to communicate complex findings clearly.

Qualifications

• 3+ years of analytics or data science experience.
• Experience building Bayesian regressions or marketing measurement techniques.
• Experience designing, executing and measuring geo experiments and causal inference.
• Proficiency with SQL.
• Scripting in Python.
• Strong knowledge of statistics and experimental design/analysis.
• Proficiency in Excel and PowerPoint or equivalents.
• Familiarity with marketing KPIs, metrics and growth experiments.
• Ability to interpret quantitative and qualitative data.
• Ability to execute complex analytics projects and present actionable conclusions.
• Ability to build relationships with diverse business partners.

Responsibilities

• Analyze marketing and business performance
• Build models to understand the impact of marketing investments and strategy
• Identify and communicate insights and opportunities to executives and internal teams
• Perform ad-hoc analyses evaluating marketing spend efficiency
• Build reporting infrastructure and make budgeting recommendations to optimize growth
• Integrate event data with surveys, ad publishers, app store data, and other customer data sources
• Support reporting and business intelligence needs of the Marketing team
• Partner with Marketing teams across business units on marketing measurement and data-driven insights

Skills

SQL Proficiency

Python Scripting

Bayesian Regression

Geo Experiments

Causal Inference

Experiment Design

Statistics Knowledge

Ad-Hoc Analysis

Tools

Excel

PowerPoint

BI Tools

Job description

• Analyze marketing and business performance
• Build models to understand the impact of marketing investments and strategy
• Identify and communicate insights and opportunities to executives and internal teams
• Perform ad-hoc analyses evaluating marketing spend efficiency
• Build reporting infrastructure and make budgeting recommendations to optimize growth
• Integrate event data with surveys, ad publishers, app store data, and other customer data sources
• Support reporting and business intelligence needs of the Marketing team
• Partner with Marketing teams across business units on marketing measurement, A/B test design and analysis, and data-driven insights

Requirements

• 3+ years of relevant experience in analytics or data science
• Experience building Bayesian regressions and/or other marketing measurement techniques
• Experience designing, executing, and measuring geo experiments and causal inference techniques
• Proficiency with SQL
• Scripting skills, preferably in Python
• Knowledge of statistics, specifically experimental design and analysis
• Proficiency in Microsoft Excel and Microsoft PowerPoint or equivalents
• Familiarity with common marketing KPIs, metrics, and growth experiments
• Ability to interpret meaningful themes from quantitative and qualitative data
• Ability to execute complex analytics projects and present action-oriented conclusions
• Ability to build effective relationships with diverse business partners

Core Competencies

Demonstrates expertise in analytics and data science, with a strong focus on building Bayesian regressions, executing geo experiments, and utilizing SQL and Python for data analysis. Capable of delivering actionable insights and optimizing marketing strategies through effective communication and collaboration with diverse teams.

Highest-signal resume keywords

• Bayesian Regression
• SQL Proficiency
• Python Scripting
• Marketing Measurement Techniques
• Experimental Design

Hard Skills

• Data Analysis
• Causal Inference Techniques
• Ad-Hoc Analysis
• Budgeting Recommendations
• Reporting Infrastructure

Soft Skills

• Relationship Building
• Communication Skills
• Insight Interpretation
• Project Execution

Industry Keywords

• Marketing KPIs
• Growth Experiments
• Data-Driven Insights
• A/B Test Design

Tools & Technologies

• Microsoft Excel
• Microsoft PowerPoint
• Business Intelligence Tools