Marketing Data Analyst
Marketing Data Analyst
Location: Remote but MUST be local to Culver City, CA, Cupertino, CA, or Austin, TX
Duration: 12 months
Pay: Up to $65.95/hr, DOE
Planet Interactive is looking for a Marketing Data Analyst to join our well-known Fortune 500 client on a 12-month contract. The ideal candidate will be joining the Growth Marketing team that focuses on supporting list pull campaigns for services within the business.
Marketing Data Analyst Responsibilities:
? Optimize, support, and create the production audience lists for email and push notifications campaigns.
? Work with the CLM Strategy, Operations, and Email Producers to understand the goal of the campaigns
? Translate aforementioned business requirements into complex SQL queries to build target audience lists, dashboards, and optimizing attributes for use in automation.
? Convert queries in automated scripts using SQL
? Write queries off of business requirements (example query concepts: want to look at the most popular artist per user ? how would you create this query)
? Simplify large data sets to optimize performance
? Create the server-side Tableau dashboards and set up requisite data sources
Marketing Data Analyst Qualifications:
? At least 2-4 years of experience in a data analyst role (marketing domain preferred but not required)
? Strong SQL skills (must be able to demonstrate the following expertise in an interview)
? Python or Tableau experience a plus
? Strong analytical background
? Experience working with large data sets
? High proficiency with databases and data retrieval, ANSI SQL (Trino/Snowflake)
? Working knowledge of stored procedures, triggers, functions, and packages
? Experience working with/creating/updating procedures for use in automation
? Knowledge of statistical principles and the underlying data assumptions on which they rely
? Hands-on experience with at least 2 of the following statistical models/techniques: recommendation systems, neural networks, deep learning, optimization and simulation, churn models, logistic regression, linear regression, forecasting, A/B testing, clustering and segmentation, or others
? Extremely strong with documentation
Apply Now
Location: Remote but MUST be local to Culver City, CA, Cupertino, CA, or Austin, TX
Duration: 12 months
Pay: Up to $65.95/hr, DOE
Planet Interactive is looking for a Marketing Data Analyst to join our well-known Fortune 500 client on a 12-month contract. The ideal candidate will be joining the Growth Marketing team that focuses on supporting list pull campaigns for services within the business.
Marketing Data Analyst Responsibilities:
? Optimize, support, and create the production audience lists for email and push notifications campaigns.
? Work with the CLM Strategy, Operations, and Email Producers to understand the goal of the campaigns
? Translate aforementioned business requirements into complex SQL queries to build target audience lists, dashboards, and optimizing attributes for use in automation.
? Convert queries in automated scripts using SQL
? Write queries off of business requirements (example query concepts: want to look at the most popular artist per user ? how would you create this query)
? Simplify large data sets to optimize performance
? Create the server-side Tableau dashboards and set up requisite data sources
Marketing Data Analyst Qualifications:
? At least 2-4 years of experience in a data analyst role (marketing domain preferred but not required)
? Strong SQL skills (must be able to demonstrate the following expertise in an interview)
? Python or Tableau experience a plus
? Strong analytical background
? Experience working with large data sets
? High proficiency with databases and data retrieval, ANSI SQL (Trino/Snowflake)
? Working knowledge of stored procedures, triggers, functions, and packages
? Experience working with/creating/updating procedures for use in automation
? Knowledge of statistical principles and the underlying data assumptions on which they rely
? Hands-on experience with at least 2 of the following statistical models/techniques: recommendation systems, neural networks, deep learning, optimization and simulation, churn models, logistic regression, linear regression, forecasting, A/B testing, clustering and segmentation, or others
? Extremely strong with documentation
Apply Now