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Junior Data Processing Specialist
Ipsos North America. Design and test data-oriented solutions for high-profile international organizations or legislative bodies .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data management and transformation, utilizing tools such as SPSS, SQL, and Python to design and implement high-performance data solutions. Strong ability to collaborate in an agile environment while providing valuable insights through data analysis and reporting.
Highest-signal resume keywords
Data ManagementSPSSSQLPythonAgile Environment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data TransformationData AggregationData VisualizationData StructureAlgorithmsDatabase ManagementSPS SyntaxDimensionsData ModelingVB Script
Soft Skills
Intellectual CuriosityIndependent WorkCommunicationCollaborationFeedback Exchange
Tools & Technologies
ExcelPower BITableauHarmonyMS TeamsSharePointGITSPSSSQLVB
Industry Keywords
Social ResearchData Management StandardsAgile Team CultureReportingStakeholder Consultation
Tech Stack
Tools & technologiesNoSQLPythonSQLTableau
About the role
Key responsibilities & impact- Design and test data-oriented solutions for high-profile international organizations or legislative bodies
- Build high-performance solutions for fast data aggregation
- Integrate new data management technologies into existing data products
- Provide regular and ad-hoc reporting, highlighting trends and areas of interest
- Implement and enforce data management standards and procedures
- Consult with internal and external stakeholders on best practices
- Contribute to an agile team culture, values, and solutions
- Participate in morning team huddles to discuss ongoing projects
- Use data processing software based on VB Script, with tools such as Python, Excel, SPSS, and SQL
- Edit, submit, and write scripts based on client requests
- Retrieve, transform, and visualize data sets
- Prepare input files for analyses and decision systems
- Process large amounts of information daily
- Collaborate with research, project management, survey development, and QA teams
- Exchange feedback and refine survey objectives
- Participate in knowledge-sharing and professional development activities
Requirements
What you’ll need- Minimum 1 year experience working with data management or transformation software (SPS syntax, Dimensions)
- Solid grasp of programming basics such as algorithms and databases
- Prior experience with SPSS, SQL, and Excel advantageous during onboarding and training
- Above-average understanding of data structure and principles
- Experience with remote collaboration tools, including MS Teams and SharePoint
- Ability to work independently without immediate supervision
- Excellent spoken and written English
- Focus on added value for internal and/or external clients
- Intellectual curiosity to find new and unusual solutions to data management issues
- Experience working in social research
- Experience working in and being comfortable with an agile data delivery environment
- Experience or interest and willingness to learn Python, R, VB, and GIT
- Experience or interest and willingness to learn Power BI, Tableau, and Harmony
- Familiarity with SQL/NoSQL databases and data modeling
Benefits
Comp & perks- Initial training and ongoing mentorship program
- Dynamic and supportive workplace
- Hands-on experience
- Meaningful projects influencing client success and growth
- Professional development and continuous learning opportunities
- Cozy office space
- People-oriented approach
- Team fun activities
- Competitive remuneration package
- Additional benefits