Company:
US Tech Solutions, Inc.
Location: Sunnyvale
Closing Date: 30/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Description:
This role supports the Growth Marketing / Self-Serve team. Looking for an enthusiastic problem solver with a track record of thought leadership in applying data driven analysis that has had a tangible impact on business operations.
Responsibilities
Advanced analytics and experimentation support to enable data-driven marketing by applying statistical techniques to solve business problems.
Bring consistency to online reporting. Create user-friendly and informative dashboards and recurring reports, adjusting to meet ever-changing business needs. Continually monitor and look for ways to improve and streamline reporting, including automation.
Provide high-level insight and detailed, segmented investigative analyses to inform site changes and opportunities to increase customer utilization of the web channel. Use existing data to help predict the impact and recommend the best course of action for future initiatives.
Work with other teams to integrate online data with other channels, to allow comprehensive business insight across multiple channels.
Leverage quasi-experimental designs or other causal inference methods as appropriate when a traditional experimental design approach is not feasible.
Mandatory:
5+ years of directly relevant experience working with large, complex datasets, experimental design and building statistical models, using SQL and one language for scripting or statistical programming (R, SAS, Python etc.).
At least 5 years’ experience working with Business Intelligence, Data Warehouses tools and techniques, analytics and reporting platforms (SQL, BigQuery, Python).
Expertise in methods, techniques and technologies in the areas of data modeling, data extraction/ETL, data validation, and data visualization (Plx, Data Studio, Tableau, Looker).
Demonstrated ability to influence outcomes and communicate complex analytical results to both technical and non-technical audiences, including executive level audiences.
Requires experience articulating product questions and identifying and normalizing datasets to develop insights.
Experience with Payments and Risk analytics would be a plus.
Experience with Cloud Platform, or with general cloud computing products would be a plus.
2+ years in a web or business analytics role, with experience with enterprise web analytics solutions, enterprise experimentation solutions (Adobe Test & Target, Optimizely, etc) would be a plus.
Data Analyst Certification is a plus.
Skills:
Marketing Growth
Business Intelligence
Data Analytics
Dashboarding
Statistical Programming
Education:
BA/BS degree or equivalent practical experience.
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit .
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
This role supports the Growth Marketing / Self-Serve team. Looking for an enthusiastic problem solver with a track record of thought leadership in applying data driven analysis that has had a tangible impact on business operations.
Responsibilities
Advanced analytics and experimentation support to enable data-driven marketing by applying statistical techniques to solve business problems.
Bring consistency to online reporting. Create user-friendly and informative dashboards and recurring reports, adjusting to meet ever-changing business needs. Continually monitor and look for ways to improve and streamline reporting, including automation.
Provide high-level insight and detailed, segmented investigative analyses to inform site changes and opportunities to increase customer utilization of the web channel. Use existing data to help predict the impact and recommend the best course of action for future initiatives.
Work with other teams to integrate online data with other channels, to allow comprehensive business insight across multiple channels.
Leverage quasi-experimental designs or other causal inference methods as appropriate when a traditional experimental design approach is not feasible.
Mandatory:
5+ years of directly relevant experience working with large, complex datasets, experimental design and building statistical models, using SQL and one language for scripting or statistical programming (R, SAS, Python etc.).
At least 5 years’ experience working with Business Intelligence, Data Warehouses tools and techniques, analytics and reporting platforms (SQL, BigQuery, Python).
Expertise in methods, techniques and technologies in the areas of data modeling, data extraction/ETL, data validation, and data visualization (Plx, Data Studio, Tableau, Looker).
Demonstrated ability to influence outcomes and communicate complex analytical results to both technical and non-technical audiences, including executive level audiences.
Requires experience articulating product questions and identifying and normalizing datasets to develop insights.
Experience with Payments and Risk analytics would be a plus.
Experience with Cloud Platform, or with general cloud computing products would be a plus.
2+ years in a web or business analytics role, with experience with enterprise web analytics solutions, enterprise experimentation solutions (Adobe Test & Target, Optimizely, etc) would be a plus.
Data Analyst Certification is a plus.
Skills:
Marketing Growth
Business Intelligence
Data Analytics
Dashboarding
Statistical Programming
Education:
BA/BS degree or equivalent practical experience.
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit .
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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