Senior Manager, Customer Analytics

Merkle Schweiz; Massachusetts; On-site; USD 113,000 - 183,000; Full time

Job summary

A leading company seeks a Senior Manager, Analytics to lead customer analysis and strategy in Boston. This pivotal role involves defining product KPIs, conducting deep-dive analyses, and building dashboards using tools like SQL and Power BI. Ideal candidates should possess strong analytics, product, and user experience skills and excel at data storytelling and communication.

Benefits

Medical, vision, and dental insurance

Flexible paid time off

At least 15 paid holidays per year

Paid sick and safe leave

Qualifications

• 5+ years in data, product, or business analytics with measurable impact.
• Proficiency in SQL and Python for querying, analysis, and automation.
• Excellent communication and data storytelling skills.

Responsibilities

• Define and maintain core product KPIs informing feature adoption and business value.
• Conduct deep-dive analyses on product performance and user behavior.
• Build and maintain self-serve dashboards in Power BI or Tableau.

Skills

SQL

Python

Data Analysis

Communication

Data Storytelling

Dashboard Creation

Tools

Power BI

Tableau

Excel

PowerPoint

Job description

The purpose of this role is to lead andmanage customer analysis deep dives, execute the strategies outlined by senior leadership, and manage the day-to-daycommunication withclients.

THIS POSITION IS BASED IN BOSTON, MA SO PLEASE ONLY APPLY IF YOU ARE WITHIN A COMMUTABLE DISTANCE TO BOSTON AND ELIGIBLE TO WORK IN THE US.

We are hiring a Senior Manager, Analytics to drive actionable insights, shape product decisions, and elevate our data-driven culture. As a core member of the Product team, this role will partner with UX, Engineering, and Business stakeholders to define metrics, build intuitive dashboards, and uncover opportunities that accelerate product innovation. This is a high-impact, individual contributor role ideal for someone who thrives at the intersection of analytics, product, and user experience—and enjoys owning insights from data sourcing to storytelling. You will report to VP, Analytics.

Key Responsibilities

Define, influence, and maintain core product KPIs that inform feature adoption, user engagement, retention, and business value

Conduct deep-dive analyses on product performance, user behavior, funnel conversion, and feature usage

Deliver product opportunity and prioritization recommendations through data synthesis and scenario modeling

Analyze results from A/B and multivariate tests to evaluate product experiments and performance impact

Build and maintain self-serve dashboards in Power BI or Tableau to support product team transparency and decision-making

Communicate complex findings via visual storytelling, presentations, and concise executive summaries

Support data definition, documentation, and alignment across product and engineering partners

Collaborate with engineers to validate data pipelines, understand model outputs, and improve data integrity

Partner with UX and PMs to triangulate quant + qual data for experience and journey optimization

Contribute to a growing data culture and support implementation of best practices in analytics methodology and governance

Required Qualifications

5+ years in data, product, or business analytics roles with measurable impact on digital product performance

Proficiency in SQL and Python for querying, analysis, and automation

Strong skills in Power BI, Tableau, or similar tools for dashboard creation and reporting

Deep experience conducting behavioral, product, and retention analysis using large-scale data

Excellent communication and data storytelling skills, with experience presenting to product and executive stakeholders

Experience defining metrics, synthesizing data sources, and delivering insight in agile, cross-functional teams

Preferred Qualifications

Experience in enterprise SaaS, B2B, digital commerce, or life sciences environments

Familiarity with experimentation platforms (e.g., Adobe Target, Optimizely, Google Optimize)

Knowledge of statistical methods, A/B testing, or causal inference

Exposure to data governance, metadata management, and compliance frameworks (e.g., GDPR, 21 CFR Part 11)

Top Outcomes (6–12 Months)

Deliver a complete set of KPI dashboards across key product areas

Develop and operationalize product opportunity and prioritization models

Build a scalable analytics framework that supports experimentation, decision-making, and roadmap validation

Tools & Technologies

SQL, Python

Power BI, Tableau

Excel, PowerPoint

Jupyter, Git, Confluence

Amplitude, Mixpanel, Adobe Analytics (nice to have)

The annual salary range for this position is $113,000-$182,850. 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,

• Short-term and long-term disability insurance,

• Flexible paid time off,

• At least 15 paid holidays per year,

• Paid sick and safe leave, and

Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com.

To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.

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