Job Description:
The Senior Manager, Analytics is expected to own a portion of a client (line of business or channel) from end-to-end and to serve as the analytics partner for client teams. He/she/they delivers data driven, strategic marketing insights with the support of associates; only needing assistance from senior team members for high-level meetings. This individual is also expected to manage their engagements and to clearly define project deliverables and timelines. The ideal candidate will have a natural curiosity, proactively digging through data to support recommendations and hypotheses.
Responsibilities
The Senior Manager, Marketing Effectiveness owns client analytics delivery and the data foundations behind it. Partner with Analytics, Media, Product, and Engineering teams to turn fragmented data into reliable reporting and actionable marketing insights. Combine client-facing analysis with scalable pipelines, automation, and governed semantic models that support AI applications.
- Client analytics: Manage analytics engagements, define deliverables and timelines, and translate business questions into analysis and recommendations.
- Data engineering: Build and maintain reusable pipelines and data models using SQL, Python, Adverity, and Databricks. Integrate and normalize data from multiple sources.
- Quality and governance: Resolve data discrepancies and implement validation, lineage, access controls, and monitoring to strengthen trust in reporting and AI outputs.
- Insights and measurement: Develop dashboards and presentations, investigate performance drivers, and support measurement strategies and learning agendas.
- Automation and AI: Streamline recurring workflows and build governed semantic layers that support natural-language querying and reliable AI-assisted analysis.
- Collaboration and leadership: Coordinate across teams, communicate findings to clients and stakeholders, and mentor junior analysts and engineers.
Qualifications
- Bachelor’s degree in a quantitative discipline (Statistics, Economics, Data Science, Computer Science, Engineering, Information Systems) or a related field.
- Experience spanning marketing or media analytics and scalable data engineering, including ownership of project delivery.
- Strong SQL and Python skills, with experience in dbt, Databricks, and ETL/ELT workflows. Familiarity with Adverity and Azure Data Factory.
- Experience with data visualization tools (Power BI or Tableau), advanced Excel, and clear presentation of analytical findings.
- Strong problem-solving, communication, and project management skills, with attention to detail and a collaborative approach.
- Experience in Measurement (BLS/SLS/MarTech/Search/Lift/Closed-Loop/Incrementality/Foot Traffic)
- Advanced Analytics (RBA/Modeled Attribution/MMM/clean rooms/designed tests)
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 $94,000-$125,000. 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.
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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Location:
USA-Remote-MissouriBrand:
Dentsu XTime Type:
Full timeContract Type:
PermanentDentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to [email protected] by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.
Skills Required
- Bachelor's degree in Statistics, Economics, Data Science, Computer Science, Engineering, Information Systems, or a related quantitative discipline
- Experience in marketing or media analytics and scalable data engineering
- Experience owning project delivery and managing analytics engagements
- Strong SQL and Python skills
- Experience with dbt, Databricks, and ETL/ELT workflows
- Familiarity with Adverity and Azure Data Factory
- Experience with Power BI or Tableau
- Advanced Microsoft Excel skills
- Ability to clearly present analytical findings
- Strong problem-solving, communication, and project management skills
- Experience with marketing measurement, including BLS, SLS, MarTech, Search, Lift, Closed-Loop, Incrementality, or Foot Traffic
- Advanced analytics experience, including RBA, Modeled Attribution, MMM, clean rooms, or designed tests
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
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Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
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Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
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Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
dentsu Insights
What We Do
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next
