Rep Data
Full job description
Description
The Data Services Associate plays a key role in supporting high-quality survey data delivery. This position is critical to ensuring accurate, clean, and reliable datasets for Rep Data’s client-facing teams. Your role will report to the Data Scientist and you will support several Project Managers in their survey and data-related needs. You will be a vital part of helping us grow data services operations to meet the needs of our clients and will be relied upon for your attention to detail and responsiveness in cleaning data for Rep Data project managers.
LOCATION AND SHIFT
This is a full-time, remote position open to candidates who reside in South Africa and are authorized to work there.
- The role follows U.S. business hours. During the training period, the expected schedule is 8:00 a.m. to 5:00 p.m. Central Time (3:00 p.m. to 12:00 a.m. South Africa Time).
- After training, the employee may coordinate with their manager to choose a schedule that starts between 12:00 p.m. and 5:00 p.m. SAT and ends between 9:00 p.m. and 2:00 a.m. SAT. The average workday is approximately 8 hours.
What you will do:
In this role you will:
- Execute data validation, cleaning, and processing tasks using advanced formulas with a high level of accuracy and attention to detail
- Review and assess survey responses for clarity, consistency, and relevance across a variety of question types (e.g., awareness, favorability, recommendation)
- Write and run scripts to test survey programming logic and generate data tables for analysis
- Analyze data trends and identify quality issues using Excel and other statistical tools to support quality assurance
- Build, restructure, and merge large and complex datasets to prepare deliverables for internal teams and clients
- Recommend and implement process improvements to increase efficiency, accuracy, and scalability of data workflows
What you bring:
- 1+ years of experience working with large datasets and spreadsheet-based analysis, ideally in a research, analytics, or operations setting
- Excellent written and verbal communication skills in English, with the ability to understand and interpret professional terminology across industries
- Required Business Technology Skills:
- Advanced knowledge of Microsoft Excel and/or Google Sheets, including knowledge of advanced formulas, various lookups, and pivot tables
- Familiarity with Generative AI platforms for assistance in problem solving
- Connecting a variety of data sources into a coherent presentation
- Bonus Industry Specific Skills:
- Maintaining documentation for version controls of survey instruments
- Question types and use cases
- Survey scripting skills preferred (Qualtrics, Decipher, Sawtooth, etc.)
- Basic programming skills (e.g. Bash/Command line, Python, JavaScript, HTML, or CSS)
- Attributes:
- A proactive, self-directed learner who takes initiative
- Meticulous, detail-oriented, and reliable under deadlines
- Comfortable handling repetitive tasks with consistent focus
- Collaborative, communicative, and curious
- Adaptable and calm under pressure
What we offer:
- Competitive base salary, plus opportunity for quarterly bonus program based on company and individual performance
- Employer-provided medical stipend
- Employer contribution to a retirement scheme and life cover policy
- Self managed time off program
- Company-provided computer and CPUs
- An opportunity to work with some of the best and brightest in the market research industry and drive large-scale innovation in restech
About Rep Data
Rep Data consists of a group of experienced industry veterans looking to revolutionize the survey data and sampling process. Our clients include the world’s top management consultancies, market research agencies, and brands. Our mission is to make our clients’ research process easier and to be a reliable, repeatable data collection partner – for life! If you are passionate about delighting customers and simplifying the inherent complexities of data collection, we want to hear from you!
At Rep Data, we recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities. We are dedicated to fostering a diverse and inclusive workplace culture and we welcome applications from a wide range of candidates. We do not discriminate on the basis of race, gender, gender identity or expression, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of Rep Data are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.
Our hiring process
Stage 1: Application Submitted
Stage 2: Screening Call
Stage 3: Hiring Manager Interview
Stage 4: Panel Interview
Stage 5: Formal Offer
