Data Processer
Department: Operations Office
Employment Type: Permanent - Full Time
Location: Manila
Reporting To: Mark Alvarez
Description
The Data Processor is a member of our Project Services team, a multi-disciplinary team managing research projects from A to Z, from initial set-up to preparing client-ready deliverables. Within the team, the Data Processor is responsible for analyses and reporting. The position caters for the project deliverables and manages the project from an analytical point-of view. To do this, the Data Processor processes data(bases) in various ways, from manipulating data in analytical tools, to table reporting and charting. Together with the consultant team, the position digs into the project in search of the most important findings. The role supports senior members of the team in analysing and reporting more complex and technical challenging projects.Responsibilities
Data quality assurance- Can critically assess the technical side of questionnaires (filters, routings, piping’s, etc.) and can recommend changes to implementation from analyses point-of-view during or after project implementation (e.g., based on database structure, technical check, etc.).
- Guide team members in executing quality checks and act as a knowledgeable sparring partner.
- Critically revise and finalize the technical side of research doc (filters, routings, pipings, etc.) of surveys with little complexity (e.g., simple quota tree, simple filtering with few conditions, simple routing).
- Recommend changes to implementation from analyses point-of-view during or after project implementation (e.g., based on database structure, technical check, etc.)
- Able to independently execute high-level data management (restructuring, merging, complex computations, etc.) to prepare for analyses and charting. For complex datasets, do this with assistance of seniors.
- Able to automate processing of the most common datasets by applying well-known techniques.
- Work efficiently, act as a reference in the domain and is a person to-go-to.
- Lead for analyzing standard projects and complete the analyses framework where needed and bring in added value independently.
- Able to identify trends and meaningful observations in large sets of data.
- Can apply univariate and bivariate analyses (frequencies, crosstabs, correlations, etc.) on any dataset, varying in complexity.
- Critically look at the dataset and spot new breaks to reveal underlying insights.
- Has a notion of commonly used multivariate analysis techniques.
- Able to apply commonly used charts and visualizations in the correct way (e.g., stack chart, line chart, etc.). The reporting makes it easy to digest data and attracts the reader to the most important findings.
- Able to set-up, update and maintain common online dashboards. Use different built-in modules to visualize large amounts of data with a complex structure (filtering, time series, etc.)
Method management
- Can critically evaluate standard analysis process and/or steps.
- Can set up technical manuals or a step-by-step guide on how to analyses standard projects.
Technical knowledge
- Has an advanced knowledge of all the tools used for performing the key responsibilities and are able to go beyond standard ways of applying them, in order to have the best possible solutions.
- Able to use technical knowledge in order to improve processes.
- Can provide technical guidance when required on monitoring, diagnosing and fixing technical problems.
- Has an advanced knowledge and experience of all commonly used tools / software required to do standard analysis, including SPSS / Q / Win Cross / Data Wizard.
- Gain expertise in less frequently used reporting software such as Dapresy / eTabs
- Understand the impact of applying the method correctly on actions.
- Up to date with most of the common solutions Human8 is offering.
- Understand the research goals and business impact before starting a project.
Project management knowledge
- Can provide guidance to people in how to organize work.
- Understand the research goals and business impact before starting a project.
- Think out-of-the-box and come with suggestions to move a project forward.
Language knowledge Manage English at a professional level (verbal/ writing) and able to have a fluent and accurate conversation.
Qualifications
- Education level - a bachelor’s degree (e.g. Marketing, Mathematics, Economics, Statistics, or similar)
- Experience - 3-5 years of experience
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