Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
A/B Testing @ 3
AWS @ 3
Algorithms @ 3
Azure @ 3
BI @ 3
Compliance @ 3
Data Analysis @ 3
Data Science @ 3
GCP @ 3
Machine Learning @ 3
Marketing @ 3
Power BI @ 3
Python @ 3
R @ 3
Reporting @ 3
SQL @ 3
Security @ 3
Tableau @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Produce financial and market intelligence by querying data repositories and generating periodic reports. Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decision making, policy formulation, or other managerial functions. Analyze the company’s position in the industry and develop relevant strategies to drive revenue. Pull and analyze data to determine the company’s position within the industry while conducting ad hoc client analyses. Drive clients’ key performance metrics and return on their ad investment through optimization of ad campaigns. Participate in weekly Data Science Center of Action meetings for consulting on ongoing projects within other teams and knowledge sharing among MI and A analysts. Provide customized measurement products to key clients and research products commissioned to external vendors. Represent the company at internal and external events while maintaining significant business relationships with key clients and partners.
Telecommuting within the United States is permitted pursuant to company policy. Reference: 00101169.
Requirements
- Master’s degree or foreign equivalent in Business, Data Analysis, Administration, or a related field.
- At least 1 year of experience in the job offered, Data Analyst, or a related role.
- Experience applying Python and R for statistical modeling and predictive analytics in business scenarios.
- Experience building interactive dashboards using Tableau and Power BI for real-time insights.
- Experience leveraging AWS, GCP, and Azure for large-scale data processing.
- Experience designing and executing A/B testing frameworks to evaluate campaign performance.
- Experience implementing machine learning algorithms for trend forecasting and segmentation.
- Experience utilizing econometric techniques to analyze market dynamics and pricing strategies.
- Experience developing automated reporting systems using SQL and business intelligence tools.
- Experience optimizing advertising campaigns through programmatic platforms and demand-side platforms (DSPs).
- Experience conducting competitive benchmarking and scenario analysis for strategic planning.
- Experience creating KPI frameworks and attribution models for multi-channel marketing campaigns.
- Experience integrating third-party data sources, including Nielsen and Comscore, into analytics workflows.
- Experience ensuring compliance with data governance and security standards for client information.