What you'll do
Accountabilities:
Lead end-to-end delivery of client analytics engagements, managing timelines, workstreams, deliverables, and stakeholder expectations across multiple projects.
Apply advanced marketing analytics techniques including segmentation, campaign performance analysis, propensity modeling, and predictive analytics to generate actionable insights.
Translate complex datasets into clear narratives, strategic frameworks, and recommendations that inform Go-to-Market and revenue growth strategies.
Serve as the primary client-facing analytics lead, building trusted relationships with senior stakeholders across marketing, sales, and strategy teams.
Oversee and contribute to analytical execution using tools such as SQL, Python, R, Excel, and statistical modeling approaches.
Mentor and develop junior team members through hands-on guidance, review, and structured coaching within project delivery environments.
Requirements: Candidates should bring strong experience in data-driven consulting or marketing analytics, with the ability to combine technical expertise, business understanding, and client leadership. The role requires both hands-on analytical capability and proven project ownership in client-facing environments.
4-5+ years of experience in data analytics, marketing analytics, market research, or consulting roles.
Prior experience in consulting or client-facing advisory environments strongly preferred.
Strong proficiency in analytical tools such as SQL, Python, R, SAS, and Excel.
Experience building data-driven narratives and presenting strategic recommendations to senior stakeholders.
Solid understanding of marketing performance measurement, customer segmentation, and predictive modeling techniques.
Proven project management and client relationship skills with the ability to manage multiple complex engagements.
Strong communication, storytelling, and organizational abilities with a proactive, detail-oriented mindset.
Benefits:
Competitive salary range with performance-based annual bonus (up to 20%)
Comprehensive medical, dental, and vision insurance coverage
401(k) retirement plan with employer contribution
Flexible PTO, summer Fridays, and extended holiday break period
Paid parental leave and family support benefits
Professional development budget and continuous learning opportunities
Wellness benefits including mindfulness and mental health support tools
Remote-first work environment with flexibility and autonomy
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
Ready when you are
Interested in this role?
Apply now and hear back within days, not weeks.
Get alerts for data analytics jobs
Weekly email. Unsubscribe in one click.
More like this
More roles like this
Marketing Analytics Lead
UpGuard • Sydney
Manager, Data science & Marketing Effectiveness
Ekimetrics • London
Manager in Marketing Analytics & Data Science - New York
Ekimetrics • New York
Junior Business Scientist, Data Science and Marketing Effectiveness
Ekimetrics • New York
Context
About Data & Analytics roles
Data & analytics professionals in marketing transform raw data into actionable insights. They build dashboards, run attribution analysis, design experiments, and help marketing teams make data-driven decisions.