Sr Analyst, Consumer Analytics

Sr. Analyst, Consumer Analytics

Are you ready to build your career by joining a global hospitality company? If so, our client is hiring a Sr. Analyst, Consumer Analytics. Position Type: Contract, Hybrid - 3 days a week in office.

Required:

• Strong ability to translate marketing and customer data into actionable business insights is essential.
• Bachelor's degree in Marketing, Analytics, Statistics, Economics, Mathematics, Computer Science, or related field.
• 4+ years of experience in marketing analytics, digital analytics, growth analytics, or related fields.
• Strong understanding of digital marketing channels and performance measurement.
• Experience analyzing campaign performance and delivering actionable business insights.
• Knowledge of attribution concepts, marketing measurement, and A/B testing methodologies.
• Experience with customer segmentation, funnel analysis, or audience analytics.
• Strong analytical and problem-solving skills.
• Advanced SQL skills and experience working with large datasets.
• Experience applying forecasting or predictive analytics to support marketing investment or customer growth decisions.
• Familiarity with incrementally testing or advanced attribution concepts.
• Experience working with customer lifecycle, retention, or loyalty-focused businesses.
• Understanding of digital analytics implementation and tracking concepts.
• Familiarity with APIs, marketing technology platforms, or basic HTML. Nice to have.
• Exposure to AI tools or automation workflows that improve analytics efficiency.
• Experience with experimentation frameworks and marketing optimization strategies. Experience with:
• Google Analytics
• Looker Studio
• Power BI
• BigQuery
• Statistical software suites (R, Python, Databricks) – Nice to have
• Strong communication skills with the ability to present insights clearly and effectively.

Responsibilities:

• Improve marketing effectiveness, support growth initiatives, and deliver actionable customer and campaign insights across integrated digital and offline marketing channels.
• Partner closely with Marketing, Analytics, and cross-functional teams to measure performance within a mature multi-touch attribution framework, identify optimization opportunities, and support data-driven decision making.
• Combines strong analytical skills with hands-on experience in marketing analytics across integrated channels, customer behavior analysis, experimentation, and performance reporting.
• Comfortable translating complex data into clear business insights that help improve acquisition efficiency, audience targeting, conversion performance, and overall marketing impact.
• Help refine measurement strategy, enhance marketing intelligence capabilities, and influence how insights from a mature data and attribution ecosystem are used to guide growth decisions across the organization.

Marketing Performance & Growth Insights:

• Analyze marketing performance across paid and owned channels to identify trends, opportunities, and areas for optimization.
• Provide actionable insights related to channel performance, audience targeting, campaign effectiveness, and creative performance.
• Support marketing teams in improving acquisition efficiency, conversion rates, and customer engagement.
• Help monitor and evaluate marketing spend efficiency and return on investment.

Customer & Audience Analytics:

• Analyze customer behavior, funnel performance, audience segmentation, and engagement trends.
• Support development of insights related to customer acquisition, retention, and lifecycle performance.
• Assist in identifying high-value customer segments and opportunities to improve marketing effectiveness.

Attribution & Measurement:

• Leverage and refine existing attribution and measurement frameworks to evaluate channel contribution and campaign effectiveness.
• Support ongoing incrementally testing and lift measurement through structured experiments and holdout analysis.
• Partner with stakeholders to improve measurement methodologies and reporting consistency.

Testing & Experimentation:

• Assist in designing and analyzing A/B tests and other marketing experiments.
• Help ensure testing methodologies use representative audiences and statistically sound approaches.
• Provide recommendations based on test results and campaign learnings.

Reporting & Visualization:

• Develop and enhance scalable reporting and visualization tools that support decision-making across marketing and leadership teams.
• Communicate findings and recommendations clearly to both technical and non-technical audiences.
• Improve reporting automation and efficiency where possible.

Data & Technical Collaboration:

• Query and analyze large datasets using SQL and cloud-based data platforms.
• Work with internal teams to validate tracking, campaign data, and reporting accuracy.
• Collaborate with data and marketing teams to ensure accuracy, consistency, and usability of marketing data across systems.
• Conduct ad hoc analyses to support strategic marketing decisions and growth initiatives.

Travel Requirements:

• Does not include travel. May attend meetings, training and/or events occasionally.

Get in Touch: If you think you'd be a good match, submit your resume and reach out to Ankit at View phone number on click.appcast.io to learn more.