Analytics Support Specialist

hireframeRemote — Philippines

Remote Full-time

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Experience Level

Experience

Qualifications

Requirements:Bachelor’s degree in Data Science, Statistics, Marketing, Social Sciences, or a related field.2-4 years of experience in a data processing or similar role, ideally within a market research setting. Proficiency in Excel and at least one data processing/statistical tool (SPSS, R, Python, etc.). Familiarity with survey data and a strong understanding of market research methodologies. Exceptional attention to detail with the ability to manage multiple projects concurrently. Strong analytical skills and problem-solving capabilities.

About the job

Join our dynamic Research Operations team as a detail-oriented and technology-savvy Analytics Support Specialist. In this pivotal role, you will manage and transform raw survey and behavioral data into structured formats that are primed for analysis. Your responsibilities will include quality assurance, coding, weighting, merging datasets, and ensuring the accurate delivery of final data files to our research teams and clients. Your contributions will be essential in maintaining the integrity and reliability of our research outcomes.

Key Responsibilities:

Data Cleaning & Quality Control: Clean and prepare raw datasets from survey platforms (e.g., Qualtrics, Alchemer) for analysis using tools such as Excel, SPSS, or R. This involves identifying and correcting data errors, removing duplicates, handling missing values, and ensuring data consistency.
Data Transformation: Standardize and reformat raw data to align with research objectives and client specifications.
Tabulation & Aggregation: Create frequency tables, cross-tabulations, and summary statistics to support insights reporting and client presentations.
Weighting & Tabulations: Apply weights to datasets and generate necessary frequency tables and crosstabs.
Data Integration: Combine data from various sources (e.g., surveys, tracking studies, spreadsheets) into cohesive datasets suitable for analysis and reporting.
Export & Documentation: Prepare clean, well-labeled datasets for export in specified formats (e.g., Excel, CSV, SPSS) along with appropriate documentation.
Quality Control: Conduct systematic checks to ensure data accuracy and completeness prior to delivery.
Collaboration: Work closely with research analysts, project managers, and survey programmers to ensure timely and accurate data delivery.
Coding of Open-Ended Responses: Categorize qualitative text responses using coding frameworks to facilitate quantitative analysis.
Automation & Scripting: Utilize scripting languages or tools to automate repetitive tasks (e.g., Python, R, Excel macros).

About hireframe

At hireframe, we are dedicated to providing innovative solutions in the field of research operations. Our team is committed to delivering reliable and insightful data analysis to inform strategic decision-making for our clients. Join us in our mission to enhance research integrity and outcomes.

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