Lead Analyst, Financial Services Analytics

Merkle Schweiz; Northern (KY); Hybrid; USD 78,000 - 112,000; Full time

Benefits offered by this job

Medical vision and dental insurance

Life insurance

Disability insurance

401k

Flexible paid time off

15 paid holidays per year

Paid sick and safe leave

Paid parental leave

Job summary

dentsu seeks an experienced Lead Analyst, Analytics to translate business problems into scalable analytical solutions and collaborate with cross-functional and client teams across campaigns and channels.

You will develop predictive models, perform ROI, attribution and A/B testing, build dashboards, and mentor junior analysts while ensuring data quality and regulatory compliance in financial services contexts.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field.
• 4–6 years of experience in advanced analytics, data science, ML, or related field.
• Effective verbal and written communication with client-facing experience.
• Proficiency in SQL (BigQuery preferred) and Python.
• Experience with data visualization tools such as Tableau.
• Familiarity with Financial Services industry data.

Responsibilities

• Perform ROI modeling, attribution analysis to measure campaign effectiveness.
• Develop customer segmentation models for targeted mail campaigns.
• Conduct A/B testing and multivariate analysis to optimize campaigns.
• Design, build, and maintain predictive models for DM response, conversion and CLV.
• Develop, implement, and maintain statistical and ML models using Python and SQL (BigQuery).
• Build simulation and forecasting applications to model campaign scenarios.
• Create dashboards and automated reporting to track KPIs and model health.
• Write efficient SQL queries and data transformation pipelines.
• Ensure data quality, harmonization, and compliance across analytics projects.
• Design data models for real-time and historical campaign analysis.

Skills

SQL

Python

BigQuery

Machine learning

A/B testing

Data visualization

Stakeholder engagement

Communication

Education

Bachelor's or Master's in data science, CS, math, stats, or related field

Tools

Tableau

BigQuery

Job description

We are seeking an experienced Lead Analyst, Analytics professional to join our dynamic team.

The ideal candidate willpossessa strong quantitative background, and the ability to translate business problems into scalable analytical solutions. This individual will work closely with cross-functionaland clientteams.

Key Responsibilities

• Perform response analysis, ROI modeling, and attribution to measure campaign effectiveness and contribution to marketing mix
• Develop customer segmentation models to identify optimal audience segments for targeted mail campaigns

Conduct A/B testing and multivariate analysis to optimize creative, messaging, offers, and targeting strategies

Design, build, and maintain predictive models for direct mail campaign response rates, conversion, and customer lifetime value

Develop, implement, and maintain statistical and machine learning models using Python and SQL (Google BigQuery preferred)

• Build simulation and forecasting applications to model campaign performance scenarios and optimize mailing lists

Create dashboards and automated reporting to track campaign metrics, KPIs, and monitor model health

• Write efficient SQL queries and build data transformation pipelines to prepare customer and campaign data for analysis

Ensure data quality, harmonization, and compliance across analytical projects per financial services regulations

• Design and maintain data models that support real-time and historical campaign analysis
• Stay current on industry trends in marketing analytics, machine learning, and AI

Mentor junior analysts and contribute to knowledge sharing initiatives

Qualifications

Bachelor’s orMaster’s degree in Data Science,Computer Science,Mathematics, Statistics,Business Analytics,or a related field.

4–6 years of experience in advanced analytics, data science, machine learning, or a related field.

Effective verbal and written communication skillswithclient-facing experience.

Proficiencyin SQL (GoogleBigQuerypreferred) and Python.

Experience with data visualization tools such as Tableau.

Familiarity with Financial Services industry and experience working with product, transaction, and customer-level data.

Strong data structuring,andanalyticalproblem-solving skills with an inquisitive mindset.

Self-driven, collaborative, and adaptable in a fast-paced environment.

At dentsu, we believe great work happens when we’re connected. Our hybrid way of working combines remote flexibility with regular in-person collaboration to spark ideas and strengthen our teams. Many of our employees who live within commuting distance (90 minutes) from one of our Headquarter or Hub Offices (New York, Chicago, Detroit, Los Angeles) are required to work in the office 2-3 days per week including one Team Day. The minimum number of days may vary by office and role. Dentsu may designate other HQ or Hub offices at any time. Those who do not live near an office may be designated as a remote employee, depending on the role and business needs. Regardless of your work location, we expect you to be flexible to meet the needs of our Company and clients, which may include attendance in an office from time to time.

The annual salary range for this position is $78,000-$112,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.

Benefits available with this position include:

• Medical, vision, and dental insurance,
• Life insurance,
• Short-term and long-term disability insurance,
• 401k,
• Flexible paid time off,
• At least 15 paid holidays per year,
• Paid sick and safe leave, and
• Paid parental leave.