Digital Marketing Analytics Consultant

The Fountain Group; Chicago (IL); Remote; USD 150,000 - 200,000; Full time

Job summary

An innovative firm is seeking a data-driven professional to leverage advanced analytics for optimizing digital commerce strategies. This role involves analyzing complex datasets, developing predictive models, and providing strategic insights to enhance business outcomes. The ideal candidate will possess a strong background in data science, experience with digital marketing metrics, and proficiency in programming languages like Python or R. Join a dynamic team where your analytical skills will directly influence decision-making processes and drive success in a fast-paced environment.

Qualifications

• 3+ years of experience in data science and advanced analytics.
• Proficiency in programming languages such as Python or R.
• Experience with data visualization tools like Tableau or Power BI.

Responsibilities

• Analyze digital commerce and retail media data to optimize conversion rates.
• Develop predictive models to provide actionable insights.
• Collaborate with teams to integrate data-driven insights into decision-making.

Skills

Data Science

Advanced Analytics

Python

R

SQL

Machine Learning

Data Visualization

Digital Marketing Metrics

Education

Bachelor's degree in Data Science

Master's degree in Data Science

Tools

Tableau

Power BI

AWS

Azure

Job description

*W2 ONLY*

Pay: $71-107/Hour

Duration:12 Months

REMOTE

Overview:
This role will focus on leveraging advanced analytics to drive insights and optimize digital commerce and retail media strategies. The ideal candidate will have a proven track record of working with digital commerce related technologies and a strong background in data science, advanced analytics and data to drive business outcomes.

Experiences sought: Deep hands-on experience with advanced analytics on platforms on or similar to Amazon Ads, Amazon Marketing Cloud, Amazon DSP, Walmart Scintilla, Kroger Collaborative Cloud, Google Ads, Facebook Ads or similar clean room applications or worked in search engine optimization or search bidding optimization supported by CLV, RFM or similar propensity modeling using first party data assets.

Ideal candidates should possess a strong familiarity with marketing terminology, including but not limited to: Customer Acquisition Cost (CAC), Impressions, Click-Through Rate (CTR), Conversion Rate, Glance Views, Return on Ad Spend (ROAS), Search Engine Optimization (SEO), Customer Lifetime Value (CLV), Attribution Modeling.

Key Responsibilities:
Data Analysis and Modeling:

• Analyze digital commerce and retail media data to identify factors driving higher or lower conversion rates
• Develop and implement predictive models to determine overarching insights and recommendations in order to optimize bids on keywords based on volume and profit driven by incremental share of voice
• Utilize complex SQL logic to ETL disparate data tables and sources
• Apply machine learning algorithms and statistical techniques to uncover hidden relationships and correlations within large first party datasets

Strategic Insights and Recommendations:

• Provide actionable recommendations to improve search spending and conversion rates
• Present findings and insights to senior leadership and stakeholders using visualizations and interactive dashboards designed for non-technical audiences
• Drive the development of strategic recommendations on analytics projects associated with business unit strategy in close collaboration with key leaders across the organization

Project Management and Collaboration:

• Handle end to end framing, execution and communication of advanced analytics projects to distill insights for senior business leaders in support of strategic business plans
• Collaborate with cross-functional teams to integrate data-driven insights into strategic decision-making processes
• Manage the engagement of advanced analytics projects, including external suppliers, to ensure projects are executed accurately, timely, and cost-efficiently
• Proactively take on additional responsibilities and projects as needed to continuously improve performance

Data Management and QA:

• Act as an SME for first/zero party data sources, including evaluating data quality and completeness, identifying gaps, and determining ways to improve data utility
• Partner with data management and stewards to maintain and enhance data quality by applying data governance policies and procedures, performing data validation and quality checks, and resolving data quality issues

Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
• 3+ years of experience in data science and advanced analytics, preferably in digital commerce or retail media.
• Proficiency in programming languages such as Python or R.
• Experience with data visualization tools like Tableau or Power BI.
• Strong analytical skills with the ability to interpret complex data sets and provide actionable insights.
• Experience with machine learning algorithms and statistical modeling techniques.
• Familiarity with digital marketing metrics and KPIs as stated above.

Preferred Qualifications:

• Experience working with large datasets and cloud-based data platforms (e.g., AWS, Azure).
• Knowledge of digital advertising platforms and tools (e.g., Amazon Marketing Cloud, Google Ads, Facebook Ads).
• Client analytics background preferred.

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