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Junior Data Processing Specialist
Ipsos North AmericaData Processing Specialist developing data solutions and reports for Ipsos, a global market research company. Transforming datasets and supporting client research through Python, SQL, SPSS, and related tools.
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 deliver high-quality data solutions. Strong collaboration skills are essential for engaging with stakeholders and contributing to an agile team environment.
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 SyntaxDimensionsVB ScriptExcel
Soft Skills
CollaborationCommunicationIntellectual CuriosityIndependenceFeedback Exchange
Tools & Technologies
Power BITableauHarmonyMS TeamsSharePoint
Industry Keywords
Social ResearchData ReportingData ModelingAgile DeliveryHigh-Performance Solutions
Tech Stack
Tools & technologiesNoSQLPythonSQLTableau
About the role
Key responsibilities & impact- Design and test data-oriented solutions for high-profile international organizations or legislator 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 standards and procedures for consistent, proper, high-quality data management
- Consult and collaborate with internal and external stakeholders on best practices
- Contribute to an agile team culture, values, and solutions
- Attend morning team huddles to discuss ongoing projects
- Use data processing software based on VB Script after initial training, together with Python, Excel, SPSS, SQL, and related tools
- Edit, submit, and write scripts based on client requests
- Retrieve, transform, and visualize datasets
- 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 personal and professional development with a dedicated mentor
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 such as MS Teams and SharePoint
- Excellent spoken and written English
- Experience working in social research
- Experience working in and being comfortable with an agile data delivery environment
- Experience or interest and willingness to learn programming languages and tools including Python, R, VB, and Git
- Experience or interest and willingness to learn data reporting and visualization tools including Power BI, Tableau, and Harmony
- Familiarity with SQL/NoSQL databases and data modeling
- Ability to work independently without immediate supervision
- Intellectual curiosity and focus on added value for internal and/or external clients
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 activities
- Competitive remuneration package
- Additional benefits