Data Analyst - R/SQL/Python

Description

Key Responsibilities

• Manage and process large datasets using Quantum.
• Create and validate data tables, cross-tabulations, and outputs based on project requirements.
• Ensure data accuracy, completeness, and consistency across all stages of data processing.
• Clean, validate, and transform data to ensure readiness for analysis.
• Use SPSS to perform statistical analyses including frequencies, correlations, regressions, and significance testing.
• Develop automated scripts and syntax for efficient data analysis and reporting.
• Interpret and summarize analytical findings for internal teams and clients.
• Work closely with research teams to understand project objectives and analytical needs.
• Support questionnaire design by advising on data coding, logic, and flow.
• Collaborate with field teams to ensure high-quality data collection and timely inputs.
• Participate in client meetings when needed to explain data structures and analysis outputs.
• Conduct thorough QA checks on data tables, logic, and final deliverables.
• Troubleshoot data issues and provide quick solutions to ensure timely delivery.
• Maintain documentation of processes, data dictionaries, and metadata for transparency.
  

Required Skills & Qualifications

• 12 years of hands-on experience in data processing and analysis within market research.
• Strong working knowledge of Quantum (QPS) and SPSS.
• Solid understanding of market research data structures, coding frames, and tabulation standards.
• Strong analytical mindset with the ability to interpret data and spot inconsistencies.
• Intermediate to advanced proficiency in Excel (VLOOKUP, Pivot Tables, formulas).
• Basic understanding of statistics and research methodologies.
• Ability to work under tight deadlines with accuracy and attention to detail.
• Good communication skills for coordinating with cross-functional teams.
• Experience with coding open-ended responses.
• Familiarity with tools like R or Python for additional analysis (optional).
• Experience working on tracker studies or consumer research projects.
• Knowledge of dashboard tools (Power BI, Tableau) is a plus