Senior Analyst
Senior Analyst
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
As the worlds largest research organization NielsenIQ is powered by talented creative scientists. Our Data Scientist associates come from diverse disciplines such as statistics research methodology mathematics psychology business engineering physics and demography. These professionals drive innovation new product ideation develops complex analysis and delivery of data insights to measure what consumers buy.
What Youll Do
Support Data Science solutions for client request and provide initial recommendation for complex client raised issues.
Support Internal and External Clients with the understanding of Data Science design and methodology.
Accompany senior leaders to meet with clients to understand business needs and help offer innovative solutions.
Work on creating new solutions use cases proof of concept and prototypes by exploring diverse data sets using tools such as Python / R.
Understand NielsenIQ products and services to suggest to new solutions for client challenges.
Collaborate with other Data Science team units.
Automate and develop solutions for existing processes.
Support or participate in Innovation initiatives to create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.
Qualifications :
Professionals with degrees in Mathematics Data Science Statistics or related fields involving statistical analysis of large data sets.
12 year experience in market research or relevant field.
Soft skills.
Passionate about innovation and technology
ProblemSolving skills
Ability to effectively convey complex concepts to nonexperts
Intellectual curiosity and persistence to find answers to questions
Eager to continuously learn and adapt to changing technologies and tools.
Good command of written and spoken English.
Good collaborative and interpersonal skills to communicate at all levels. (Preferred)
Analytical and Technical skills:
Solid understanding of Statistics.
Strong aptitude for data analysis.
Critical / logical thinking.
Familiar with programming language such as Python/R.
Familiar with contemporary database systems.
Optional Qualification
Working knowledge with data visualization tools (e.g. Spotfire Tableau etc.) and mapping tools.
Working knowledge with collaboration tools such as Google Suite(Google site Google Data Studio) Atlassian Git Bitbucket and Confluence.
Familiar with Machine Learning
Familiar with marketing analytics including designing experiment and consumer behavior analysis.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
Company Industry
Key Skills
- Splunk
- IDS
- Microsoft Access
- SQL
- Cybersecurity
- Intelligence Experience
- Malware Analysis
- Tableau
- Analysis Skills
- SAS
- Data Analysis Skills
- Analytics
