Summary
Allied Global Marketing is seeking a Data Analyst to join its Consumer Insights Analytics team. The role focuses on quantitative research, analyzing complex high-volume data, answering business questions with statistical techniques, and communicating actionable insights to internal and external stakeholders. The analyst will also develop dashboards, recommend data improvements, and establish best practices for scalable analysis.
Responsibilities
- Work closely in a cross-functional environment that includes internal stakeholders (Consumer Insights leadership, strategy, campaign management, project management, and account management functions) as well as external clients/stakeholders
- Answer business questions by using appropriate statistical techniques on available data
- Interpret results of analysis and communicate findings to internal and external stakeholders
- Recommend new data collection and refinement of existing data sources that will generate additional value for the client
- Develop "best practices" to answer frequently asked business questions and work with the team to produce or rationalize them for economies of scale
Skills
- Degree in a relevant quantitative field (e.g. statistics, mathematics, economics, operations research, or social sciences). We will also consider relevant coursework/experience demonstrating an aptitude for inferential data analysis
- Passion for answering difficult business questions with data-driven quantitative methods
- Appreciation for developing adequate proficiency manipulating and analyzing complex, high-volume, high-dimensional data from a variety of data sources, including relational and unstructured data warehouses
- Ability to communicate complex quantitative analyses in a clear, accurate, actionable and visually appealing manner
- Keen sense for finding the right balance between quantitative methodological accuracy and timely response to business questions
- Proficient in BI solutions (especially Tableau) and database query languages (especially SQL)
- Master's/Doctorate degree in Statistics, Mathematics, Economics, Operations Research or Social Sciences
- Previous work experience in database marketing, data mining and predictive modeling (Work experience or projects)
- Working knowledge of one or more analytical software platforms (e.g. SAS, SPSS, R, Alteryx or open source data mining tools such as Python)
- Working knowledge of database query, reporting and visualization tools (e.g. Tableau, Alteryx, SQL)
Qualifications
Must Haves
- Degree in a relevant quantitative field (e.g. statistics, mathematics, economics, operations research, or social sciences). We will also consider relevant coursework/experience demonstrating an aptitude for inferential data analysis
- Passion for answering difficult business questions with data-driven quantitative methods
- Appreciation for developing adequate proficiency manipulating and analyzing complex, high-volume, high-dimensional data from a variety of data sources, including relational and unstructured data warehouses
- Ability to communicate complex quantitative analyses in a clear, accurate, actionable and visually appealing manner
- Keen sense for finding the right balance between quantitative methodological accuracy and timely response to business questions
- Proficient in BI solutions (especially Tableau) and database query languages (especially SQL)
Nice to Haves
- Master's/Doctorate degree in Statistics, Mathematics, Economics, Operations Research or Social Sciences
- Previous work experience in database marketing, data mining and predictive modeling (Work experience or projects)
- Working knowledge of one or more analytical software platforms (e.g. SAS, SPSS, R, Alteryx or open source data mining tools such as Python)
- Working knowledge of database query, reporting and visualization tools (e.g. Tableau, Alteryx, SQL)
Benefits
- Remote work arrangement
- Recent graduates are encouraged to apply
- You will quickly be given the chance to own the projects and work
- Very senior CI/BI analysts to work with and grow your skills and knowledge