Analyze marketing and customer data to measure campaign impact, uncover customer insights, and improve marketing ROI. Build Tableau dashboards, write and optimize SQL queries, conduct segmentation and lifecycle analysis, validate data quality, and provide actionable recommendations. Partner with marketing, product, and analytics stakeholders to translate business needs into analytical solutions and support strategy across channels, including spend allocation, targeting, attribution, and campaign effectiveness.
We are seeking a highly skilled Senior Consultant to join our Marketing Measurement & Analytics team for a global fintech client. The ideal candidate brings strong expertise in SQL, Tableau, and analytical problem-solving, along with experience working with cross-functional stakeholders. This role is perfect for someone who enjoys quantifying marketing impact, uncovering customer insights, and shaping data backed marketing strategies across marketing channels.
Work Location: Remote, US
Salary Range: $100K/Yr - $125K/Yr Base + Annual Bonus
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process
For more information on benefits and what we offer please visit us at US Careers and Benefit
Responsibilities- Analyze marketing and customer data to quantify the impact of marketing initiatives on revenue and business outcomes.
- Work closely with stakeholders to understand business requirements and provide strategic insights to solve critical business problems.
- Develop and maintain dashboards, visualizations, and performance reports using Tableau.
- Write, optimize, and validate SQL queries to extract, transform, and analyze large datasets.
- Deliver insights that help optimize marketing strategies across channels, including spend allocation, targeting, and campaign effectiveness.
- Conduct customer segmentation, behavioral analysis, and lifecycle performance assessments.
- Partner with marketing, product, and analytics stakeholders to understand business needs and translate them into analytical solutions.
- Provide clear, actionable recommendations to improve marketing ROI and drive strategic decision-making.
- Ensure data accuracy and consistency through regular validation and quality checks.
- Stay current with industry trends in marketing analytics, attribution, and measurement methodologies.
Required Qualifications
- Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Marketing Analytics, Business Analytics).
- 4-5 years of experience in marketing analytics, data analytics, or related fields.
- Strong proficiency in SQL for data extraction and manipulation.
- Hands‑on experience with Tableau for visualization and reporting.
- Solid understanding of marketing measurement concepts, attribution, and performance analytics. Preferably in B2B marketing space.
- Excellent communication skills with the ability to translate data into compelling narratives.
- Demonstrated experience collaborating with stakeholders and influencing decisions.
- Strong analytical thinking, problem-solving abilities, and attention to detail.
- Ability to work independently, take initiative, and manage multiple priorities.
Preferred Qualifications
- Experience working with fintech, financial services, or digital first consumer businesses.
- Familiarity with marketing attribution models, MMM, or experimentation frameworks.
- Experience leading a team
- Exposure to additional BI or data visualization tools.
- Experience with GA4 and BigQuery.
- Understanding of predictive modeling or statistical analysis techniques.
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