Senior Analyst, Performance Solutions
New
J
JobgetherAdvertising Technology
CanadaFull-TimeSenior
Salary$76,000–$104,500 CAD
Apply NowOpens the employer's application page
Job Details
- Experience
- 3–5 years
- Required Skills
- PythonSQLNumpySnowflakePandasA/B testingscikit-learn
Requirements
- 3–5 years of experience in a technical analytics role such as Systems Analysis, Data Science, Technical Product Management, Technology Consulting, or Data Analytics.
- Advanced proficiency in Python and core data science libraries such as NumPy, Pandas, and Scikit-Learn for data manipulation, modeling, analysis, and workflow automation.
- Strong SQL skills, including experience writing complex and optimized queries against modern cloud data warehouses such as Snowflake.
- Solid knowledge of statistical analysis, predictive modeling, regression analysis, and rigorous A/B testing methodologies.
- Demonstrated ability to independently manage strategically important and operationally complex projects within cross-functional environments.
- Strong business judgment and a structured approach to developing hypotheses, designing experiments, evaluating evidence, and solving complex problems.
- Excellent written and verbal communication skills, with the ability to present findings and recommendations to senior stakeholders and external audiences.
- Ability to collaborate effectively with technical and non-technical teams across Product, Engineering, Data Science, Sales, Analytics, Operations, Client Services, and Marketing.
- Strong analytical thinking and attention to detail, with the ability to translate complex datasets and technical challenges into practical recommendations.
Responsibilities
- Support the discovery, ideation, development, and design of next-generation measurement, attribution, and performance capabilities and related roadmaps.
- Analyze data to identify opportunities, develop strategic recommendations, and support growth and performance objectives.
- Assist in evaluating revenue opportunities, integrations, business opportunities, and potential new platform capabilities.
- Support Solutions Leads with end-to-end solution execution, including projects involving multiple teams and stakeholders.
- Collaborate with Data Science, Engineering, and other technical teams to architect solutions addressing specific business problems and use cases.
- Troubleshoot technical performance issues and discrepancies, conduct root-cause analyses, and recommend appropriate remediation approaches.
- Design and execute experiments to validate hypotheses and evaluate the effectiveness of proposed solutions.
- Work with Client Services and Marketing teams to scale successful solutions, methodologies, and best practices.
View Full Description & ApplyYou'll be redirected to the employer's site
