[Vision Care] Manager, Data Analyst, Performance Marketing
About this opportunity
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com .
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Data Analytics & Computational Sciences
Job Sub Function:
Business Intelligence
Job Category:
Professional
All Job Posting Locations:
Chiyoda, Tokyo, Japan
Job Description:
General Summary
The Manager, Online Data Analytics, will lead areas below under Sr. manager of performance marketing
Support the development of online strategies through data integration and insight extraction.
Lead and execute action processes that incorporate data-driven decision-making for the EC team, based on advanced analytics.
Promote the development of data infrastructure, digital transformation, and digitalization initiatives.
Set appropriate KGI and KPI, and implement PDCA cycles through tracking and continuous improvement
Duties & Responsibilities
Partners with stakeholders to identify, scope, and execute analytics and digitalization initiatives that address key online business needs, resolve digital issues, and generate business value.
Develops comprehensive data strategies that leverage both existing data (such as market data, platform data, media plan results, etc.) and new data acquisition efforts.
Leads the planning and analysis of the online market landscape, collaborating with internal teams, external partners, and vendors to support the implementation of online strategies.
Defines innovative trending and modeling techniques to analyze data, generate insights, and drive process improvements.
Oversees and manages data quality assessment, data cleaning, and data processing practices.
Partners with sales and platform teams by utilizing abundant data and insights to inform decision-making.
Manages team performance and supports the development of team members.
Key Requirements (skills, competencies, experiences, certifications) /
Mandatory requirements
Master's or Ph.D. degree in a highly quantitative field such as Machine Learning, AI, Computer Science, Statistics, Mathematics, or equivalent professional experience demonstrating advanced data science skills and knowledge.
5+ years of professional experience in data science, analytics, or business intelligence.
Extensive knowledge of e-commerce and connected commerce, including data management and utilization, digital analytics tools, digital marketing, and technology architecture implementation.
Preferred requirements
Ability to clearly understand business requirements and translate them into data-driven processes.
Strong sense of responsibility and accountability to lead projects and deliver expected results by aligning with the company's vision, goals, and objectives while engaging team members and cross-functional stakeholders.
Solid understanding of Big Data fundamentals, modern data ecosystems, and related technologies.
Experience applying advanced analytical and statistical methodologies to solve complex business problems.
Adaptable and flexible, with a willingness to learn and adopt new methods and ways of working.
Ability to manage multiple tasks, budgets, and resources effectively in a fast-paced environment with competing priorities.
Fluency in English, including excellent written, verbal communication, and presentation skills
Required Skills:
Preferred Skills:
Advanced Analytics, Business Intelligence (BI), Cross-Functional Collaboration, Data Analysis, Data Governance, Data Privacy Standards, Data Quality, Performance Measurement, Process Improvements, Tactical Planning, Team Management, Technical Credibility, Workflow Analysis
Job details
How this role compares
Computed from every other active Marketing role in our database, not just this employer's listings.
We currently track 417 comparable Manager Marketing roles across 83 biopharma companies.
Salary context
121 of 417 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 417 comparable roles
+ 48 more countries
Seniority mix
417 of 417 peers have a known seniority level
Therapeutic area mix
114 of 417 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Notify me about similar jobs
Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.