Tech Stack
Amazon RedshiftAWSAzureCloudETLGoogle Cloud PlatformMySQLPythonSQLTableau
About the role
- Handle and process market research data using SPSS, Python, and SQL; ensure data integrity, cleaning, and transformation for visualization and analysis.
- Collaborate with data teams to integrate survey and transactional data sources.
- Design and develop dashboards and reports using Dapresy, Tableau, Power BI; work with designers to create intuitive dashboard design.
- Apply best practices in visual storytelling to communicate insights effectively.
- Understand client requirements and translate them into actionable data visualization solutions; support UI designing and data mapping for visualization readiness.
- Work closely with researchers to interpret data and derive meaningful insights; customize visual outputs based on client branding and reporting standards.
- Lead and mentor a team of visualization specialists and data analysts; allocate resources, manage workloads, and ensure timely delivery of projects.
- Manage end-to-end project lifecycle from requirement gathering to delivery; coordinate with cross-functional teams and clients and track milestones, risks, and quality metrics.
Requirements
- 7+ years of experience in data visualization and market research.
- 4-5 years of experience on data processing using SPSS/Python in MR domain.
- 7+ years of BI/Analytics experience with at least 2+ years in a lead role.
- Proficiency in SPSS, Python, SQL, and visualization tools (Dapresy, Tableau, Power BI).
- Strong SQL and database skills (e.g., SQL Server, Redshift, MySQL).
- Proven expertise in Market Research domain – understanding survey data, research methodologies, and MR-specific KPIs.
- Experience in data modeling, ETL, and automation.
- Proven client-facing and stakeholder management experience.
- Prior experience in leading a BI/Analytics team, mentoring, and managing deliverables.
- Exposure to R for advanced analytics or automation (good to have).
- Familiarity with GenAI/AI-driven analytics in Market Research (good to have).
- Cloud data platforms experience (AWS, Azure, GCP) (good to have).
- Excellent communication, stakeholder management, and presentation skills.
- Strong problem-solving and analytical mindset; ability to manage multiple priorities and stakeholders.
- Team leadership, mentoring, collaboration, proactive and solution-oriented approach.