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TerminixSIS India

Senior Data Analyst, Marketing

TerminixSIS India

Sr Data Analyst analyzing marketing performance data to drive MQLs for Rentokil. Collaborating with marketing and technology teams to implement data-driven strategies and insights.

Posted 7/2/2026full-timeRemote • Tennessee • 🇺🇸 United StatesSenior💰 $94,100 - $122,300 per yearWebsite

Tech Stack

Tools & technologies
ETLPythonSQLTableau

About the role

Key responsibilities & impact
  • Analyze marketing performance data to identify trends, opportunities, and areas for improvement in driving MQLs
  • Support development and implementation of data-driven marketing strategies to achieve business objectives
  • Support A/B tests and other experiments to optimize marketing campaigns and website performance
  • Develop Learning plans that allow for systemic improvement in website performance
  • Create and maintain dashboards to monitor key metrics and provide real-time insights to stakeholders
  • Develop comprehensive reports on marketing performance and ROI
  • Ability to tell a story through the analysis of data
  • Collaborate with marketing teams to align on data requirements and insights
  • Partner with technology and product teams to ensure data accuracy and accessibility
  • Communicate complex data insights to both technical and non-technical audiences
  • Conduct weekly/monthly meetings focused on reviewing weekly/monthly performance of marketing campaigns

Requirements

What you’ll need
  • 5+ years of analytics experience
  • 2+ years of digital analytics
  • Proficiency in data analysis tools (e.g., SQL, Python, R)
  • Experience with data visualization tools (e.g., Power BI, Tableau)
  • Strong understanding of digital marketing channels (e.g., SEO, SEM, social media, email)
  • Experience with web analytics tools (e.g., Google Analytics)
  • Strong problem-solving and critical thinking skills
  • Excellent communication and presentation skills
  • Ability to work independently and collaboratively
  • Experience with statistical modeling techniques (preferred)
  • Knowledge of data warehousing and ETL processes (preferred)
  • Experience with machine learning and AI (preferred)
  • Formal Education, Qualifications or Training: Bachelor's degree in Marketing Analytics, Data Analysis or a quantitative discipline, or similar experience
  • Background in data science helpful but not required
  • Certification in SQL/Python and/or R a plus.

Benefits

Comp & perks
  • Start Day 1 for Full-Time Colleagues - No Waiting Period!
  • Professional and Personal Growth
  • Multiple avenues to grow your career
  • Training and development programs available
  • Tuition Reimbursement benefits (for FT Colleagues)
  • Health benefits including Medical, Dental, Vision, Disability, and Life Insurance plus much more
  • 401(k) retirement plan with company-matching contributions
  • Vacation days & sick days
  • Company-paid holidays & floating holidays
  • A company mindset that prioritizes health, safety, and flexibility

ATS Keywords

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Hard Skills & Tools
Data AnalysisDigital AnalyticsStatistical ModelingMachine LearningETL Processes
Soft Skills
Problem-SolvingCritical ThinkingCommunicationCollaborationPresentation
Certifications
SQL CertificationPython CertificationR Certification