Job Responsibilities:
- Collaborate with marketing and data teams to understand business needs and objectives.
- Elicit, analyze, and document business requirements for data and analytics products.
- Translate business requirements into clear and concise technical specifications.
- Design and develop data models, data pipelines, and data visualization dashboards.
- Work with developers and engineers to implement and test data and analytics products.
- Conduct user acceptance testing and ensure that products meet user needs.
- Maintain strong controls across the data processes and reporting.
- Provide ongoing support and training to users of data and analytics products.
- Monitor and analyze data to identify trends and insights.
- Develop and maintain documentation for data and analytics products.
- Stay up-to-date on emerging data and analytics technologies.
Required qualifications, capabilities and skills:
- Bachelor’s Degree required. 2+ years of experience as data analyst
- Experience in data analytics utilizing advanced SQL using large-scale enterprise database platforms such as Teradata and Oracle required
- Experience with data analytics tools and techniques (Alteryx, Tableau, Snowflake, Python)
- Proficiency with Microsoft Office applications including Access and Excel skills for data analysis
- Excellent communication, presentation, and interpersonal skills
- Ability to work independently and as part of a team
- Experience with marketing platforms (e.g., Optima, Salesforce, Adobe Experience Manager, Axciom)
- Experience with cloud-based data platforms (e.g., AWS, Azure, GCP)
Preferred qualifications, capabilities and skills:
- Possess strong relationship skills and ability to collaborate across organizational levels
- Frequently resolve complex assignments independently and ensure projects are completed according to established timelines
- Maintain consistent communication, both written and verbal, with team and business process owners with regards to the progress of development efforts
- Eagerly work in a fast-paced, results-driven, highly dynamic environment with a strong desire and aptitude to learn and adapt to new technologies
- Demonstrate proficiency with sourcing and compiling data from a tool with Extract / Transform / Load (ETL) capabilities such as Alteryx, Trifacta, Ab Initio or R as well as creating and deploying reports with a Business Intelligence (BI) tool such as Tableau
- Familiarity with agile methodologies