As a Marketing Data Analyst at Paralucent, you’ll play a critical role in analyzing and interpreting data to drive marketing strategies.
Your insights will shape our campaigns and enhance our decision-making process.
Responsibilities : 1. Data Analysis :
1. Data Analysis :
a. Develop, execute, and optimize complex SQL and big data queries.
b. Retrieve and analyze data using SAS and SQL.
c. Synthesize insights from qualitative and quantitative sources.
2. Data Management :
a. Export and import marketing data from disparate systems.
b. Perform data cleansing and merging functions.
c. Ensure data accessibility for stakeholders.
3. Web Analytics :
a. Analyze website traffic sources, patterns, and conversion funnels.
b. Implement tagging and web analytics code for tracking online properties.
4. Campaign Tracking :
a. Define governance for campaign tracking across online channels.
b. Collaborate with marketing teams on A / B and multivariate testing strategies.
Location : GTA (Hybrid)
Duration : Full time permanent
Education :
Bachelor’s or Master’s Degree in Marketing, Statistics, Business, Mathematics, Economics, Computer Science, Engineering, or related fields.
Certifications (Preferred) :
SAS, CWA, AWS, IQ, BI.
Skills :
- Proficiency in SQL, Excel, and statistical analysis.
- Familiarity with Python, Tableau, and big data technologies.
- Strong analytical mindset and ability to derive actionable insights.
Experience :
- Exposure to online attitudinal and behavioral measurement tools.
- Bachelor’s degree in a quantitative discipline (Math, Physics, Statistics, etc.).
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As a Marketing Data Analyst at Paralucent, you’ll play a critical role in analyzing and interpreting data to drive marketing strategies. Export and import marketing data from disparate systems. Develop, execute, and optimize complex SQL and big data queries. Retrieve and analyze data using SAS and S...
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As a Marketing Data Analyst at Paralucent, you’ll play a critical role in analyzing and interpreting data to drive marketing strategies. Export and import marketing data from disparate systems. Develop, execute, and optimize complex SQL and big data queries. Retrieve and analyze data using SAS and S...
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