Data Analyst
Platform ScienceSalary not specified
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
MarketingIndustries
Requirements
- Great English skills (B2+ level at least)
- 1–3 years experience producing deliverables with either Python or R, Pandas and exploratory data
- 1–3 years experience applying advanced statistical analysis to produce work deliverables
- 1–3 years experience explaining complex topics to a non-technical audience
- Knowledge in S3, Docker, AWS and SQL is desirable
- Demonstrated ability to learn quickly from a wide range of different subjects
- Operating effectively even when things are not certain, or the way forward is not clear
- Anticipating and adopting innovations in business-building digital and technological applications
- Making good and timely decisions that keep the organization moving forward
- Making sense of complex, high quantity and sometimes contradictory information to solve problems
Responsibilities
- Simplify complex business problems into manageable parts that can be quantified and analyzed
- Apply advanced analysis methods to predict outcomes
- Propose compelling, evidence-based theories that explain trends in metrics
- Work closely with the rest of the MKS and account teams to understand the business context of the account
- Stay up-to-date on latest industry news and analysis techniques
- Help design dashboards and automate reporting with scripts
- Assist in tagging and data infrastructure design
- Design A/B tests and other measurement frameworks
- Represent our discipline, data and insights to wider teams
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What salary can I expect for this Data Scientist role?
This information is not specified in the job description.
Is this Data Scientist position remote or office-based?
This information is not specified in the job description.
What skills and experience are required for this Data Scientist job?
Candidates need 1-3 years experience producing deliverables with Python or R, Pandas, and exploratory data analysis, plus 1-3 years applying advanced statistical analysis and explaining complex topics to non-technical audiences. Great English skills (B2+ level) are required, and knowledge of S3, Docker, AWS, and SQL is desirable.
What is the work environment like for this Data Scientist role at RAPP?
The role involves working closely with Marketing Science (MKS) and account teams in a dynamic environment where you'll prioritize tasks independently, simplify complex problems, and contribute to brainstorming without constant supervision.
What makes a strong candidate for this Data Scientist position?
Strong candidates demonstrate the ability to learn quickly, operate effectively in uncertain situations, make timely decisions, and make sense of complex information, along with the required technical experience.
RAPP
Precision marketing agency using data-driven strategies
About RAPP
RAPP Worldwide focuses on precision marketing by using detailed data and advanced technology to create personalized marketing experiences for consumers. They serve a variety of clients across sectors like healthcare and technology, delivering engaging campaigns that enhance customer experiences and build brand loyalty. RAPP generates revenue through marketing services such as data analytics and creative content production, as well as consulting to optimize marketing strategies. As part of the Omnicom Group, they leverage a broad network of resources to provide effective marketing solutions.
New York City, New YorkHeadquarters
1965Year Founded
$1.3MTotal Funding
SEEDCompany Stage
Data & Analytics, Consulting, Consumer GoodsIndustries
1,001-5,000Employees
Risks
Loss of key personnel may disrupt strategic initiatives.
New creative leadership could impact client satisfaction if misaligned.
Resource diversion to internal initiatives may affect client service delivery.
Differentiation
RAPP leverages data and technology for personalized marketing experiences.
RAPP is part of Omnicom Group, enhancing its global reach and resources.
RAPP combines creative strategies with data analytics for effective customer engagement.
Upsides
AI-driven personalization enhances RAPP's targeted customer experiences.
Privacy-centric data tools align with RAPP's data-driven marketing approach.
Programmatic advertising complements RAPP's precision marketing model.
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