Senior Marketing Analytics & Data Science Manager

Vika Talent Solutions; Atlanta (GA); On-site; USD 120,000 - 170,000; Full time

Job summary

Vika Talent Solutions seeks a Marketing Analytics & Data Science Manager with 6–10+ years of experience to lead advanced analytics, predictive modeling, and digital marketing optimization. You will build dashboards in Tableau or Power BI and drive campaign ROI across major channels.

The role requires strong SQL, GA4 proficiency, and hands-on work with cloud data warehouses such as Snowflake, BigQuery, and Databricks. Collaboration with Data Engineering and cross‑functional teams is essential.

Qualifications

• 6–10+ years in Marketing Analytics or Data Science.
• Tableau and/or Power BI.
• Python or R for predictive modeling.
• Advanced SQL and GA4.
• Google Ads, Meta/Facebook, LinkedIn analytics.
• Experience with cloud data warehouses (Snowflake, BigQuery, Databricks).
• CRM experience (Salesforce, HubSpot) preferred.

Responsibilities

• Build dashboards and reports using Tableau or Power BI.
• Develop predictive models such as lead scoring, propensity, segmentation, and CLV using Python or R.
• Analyze and optimize campaigns across Google Ads, Meta/Facebook, and LinkedIn.
• Work with GA4, SQL, CRM data (Salesforce/HubSpot), and cloud data platforms (Snowflake, BigQuery, Databricks).
• Partner with Data Engineering to support data pipelines, model deployment, and reporting.
• Present actionable insights to marketing and business teams.

Skills

Marketing Analytics

Data Science

Tableau

Power BI

Python

R

SQL

GA4

Google Ads Analytics

LinkedIn Analytics

Cloud Data Warehouses

CRM analytics

Tools

Snowflake

BigQuery

Databricks

Salesforce

HubSpot

Tableau

Power BI

Python

R

GA4

Job description

Vika Talent Solutions seeks a Marketing Analytics & Data Science Manager with 6–10+ years of experience to lead advanced analytics, predictive modeling, and digital marketing optimization. You will build dashboards in Tableau or Power BI and drive campaign ROI across major channels.

The role requires strong SQL, GA4 proficiency, and hands-on work with cloud data warehouses such as Snowflake, BigQuery, and Databricks. Collaboration with Data Engineering and cross‑functional teams is essential.