Intermediate (2-5 years of experience)
Summary of the Role
The Marketing Analytics Analyst is responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports. The role involves developing and implementing databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality. The analyst will work closely with marketing teams to turn data into critical information and knowledge that can be used to make sound business decisions.
Required Skills
Proficiency in statistics and statistical packages used for data analysis.
Ability to translate complex data into actionable insights.
Strong problem-solving and critical thinking skills.
Excellent written and verbal communication abilities.
Expertise in data models, database design development, data mining, and segmentation techniques.
Knowledge of SEO/SEM, marketing database, email, social media, and display advertising campaigns.
Ability to work in a fast-paced environment and manage multiple projects simultaneously.
Qualifications
Bachelor's or Master's degree in Marketing, Analytics, Statistics, Computer Science, or related field.
2-5 years of experience in marketing analytics, business intelligence, or a related field.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Adept at queries, report writing, and presenting findings.
Experience with data visualization tools (e.g., Tableau, QlikView, Power BI) and web analytics tools (e.g., Google Analytics, NetInsight, Omniture, WebTrends).
Experience with statistical software (e.g., SAS, SPSS, Stata) and database languages (e.g., SQL).
Responsibilities
Develop comprehensive marketing analytics strategies.
Collect and analyze customer, marketing, and web behavioral data.
Test campaigns, analyze key metrics, and identify opportunities to increase campaign performance.
Design and create reports and dashboards to present findings to management.
Collaborate with sales and marketing teams to understand objectives and drive data-centric approaches to problem-solving.
Utilize strong analytical skills to create insightful and actionable data interpretations.
Ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics team members to follow.
Use data to predict trends in the customer lifecycle and advise on product changes.