Business Data Analyst
Appen
PythonSQLTableau
Job Level
Senior
Tech Stack
PythonSQLTableauVBA
About the role
- Feedback Strategy Support: Assist in the design and implementation of multi-channel strategies for gathering user feedback (e.g., in-product surveys, external tools, pop-up questions).
- Survey Development & Deployment: Support the creation, testing, and deployment of surveys to gather quantitative ratings and qualitative commentary, under supervision.
- Data Analysis & Synthesis: Perform initial analysis of structured survey data and unstructured text feedback to identify basic trends and themes; learn and apply statistical concepts under guidance.
- Reporting & Data Visualization: Assist in developing and distributing feedback summary reports and creating dashboards for data reporting, focusing on clear and accurate representation.
- Contribute to maintaining a comprehensive calendar and repository of all survey instruments.
- Assist in producing regular feedback insight reports.
- Support the categorization and organization of qualitative feedback.
- Help provide qualitative and quantitative user feedback data to the Digital Pulse for storage and to Value Measurement and Customer Insights for deeper analysis.
- Assist in consuming platform access from product teams to embed surveys; data storage and processing from Digital Pulse.
- Collaborate effectively with colleagues in the Survey Operations & Analytics team, including survey programmers, third-party vendors, and partners, for efficient survey execution and data collection.
- Work with virtual, multicultural global teams.
Requirements
- Bachelors or Masters degree with demonstrated high academic achievement in analytics, data science, or mathematics.
- Relevant work experience in market/consumer research data analytics (projects/coursework/internships).
- Preferred: Statistics/Applied Statistics, Operational Research, Economics, or Mathematics.
- Strong experience in the field of market research and data analytics.
- Strong analytical capabilities: foundational understanding of data management, processing, and analysis.
- Strong hands-on experience with Advanced Excel and PowerPoint.
- Knowledge of additional tools such as SPSS, R, Python, Alteryx, Tableau, SAS, Market Sight, VBA, SQL will be an added advantage.
- Understanding of Machine Learning concepts and hands-on experience in Python for data analysis is a plus.
- Ability to work with multiple, geographically distributed teams in a fast-paced environment, multi-task, and operate effectively in a matrix organization.
- Strong interpersonal skills and credibility – collaborative, team player with strong work ethic and service excellence orientation.
- Effective written & verbal communication (English).
- Business-oriented: Eagerness to understand business objectives and context of associated market research.
- Fast learner: Able to grasp and apply market research knowledge to interpret and discuss elements of survey design (sampling, quotas, methodology, questionnaire structure etc.).
- Team player: Able to collaborate with survey programmers, third-party vendors, and partners for implementation of online surveys and data collection.
- Eye for detail: Ability to engage on quality review of online surveys before launch, and foundational data handling and management capabilities to validate and clean data prior to further processing.
- Sound knowledge of statistics and application of statistical theoretical concepts (univariate, bivariate and multivariate methods).
- Strong data interpretation capabilities: Eager to learn and use Alteryx and advanced Excel for survey data transformation and processing.
- Knack for graphical representation of analytical outputs and eager to learn visualization tools including PowerPoint, Tableau, and Market Sight.
- Comfortable working in a fast-paced and dynamic environment, dealing with ambiguity and unstructured situations.
- Multi-tasking.
