• Implementation that enables the retirement of SAP BW and SAP Business Objects

Role Description If you thrive in a fast-paced multi-project environment and love analyzing qualitative data, then you're a perfect fit. You'll work directly with our researchers to execute qualitative research projects such as diary studies, focus groups, IDIs, longitudinal panel studies, etc. You will be a team-player who is an integral member of a talented and dedicated group of researchers and other analysts working in a fast-paced, rapid-response environment where rigor and quality are paramount. Using Pulse Labs' proprietary tools and platforms, you’ll dive deep into rich video and survey data to analyze and interpret users’ interactions with and perceptions about next-gen products. Key Responsibilities - Work closely with UX researchers to understand research projects, including customer requirements, timelines, analysis plan, and business goals. - Assist project team members with the logistical operations of the research program, such as maintaining research timelines, project schedules, question banks, data repositories, and other research-related artifacts. - Work closely with the operations team to make sure collected data matches the study requirements. - Ensure sound research methods while assisting with initial project plans, analyses, and creating final reports for clients. - Analyze responses from participant videos and transcripts, surveys, and other study data to develop key research findings and recommendations for clients. - Under the guidance of UX researchers, create deliverables for clients including scorecards, toplines, reports, and slide decks. - Develop high quality data visualizations, communicating data and findings cleanly, effectively, and efficiently. - Collaborate with the team and across the company to improve our internal processes. - Provide feedback to the Design and Engineering teams about how to improve our proprietary platform. Qualifications - 2+ years of experience working as an analyst in a research setting or in a detail-oriented operations environment. - Knowledge of the end-to-end research lifecycle, including research methods/approaches and common analyses, specifically those related to UX. - Expertise with data collection, analysis, and interpretation. - Experience working on a team of researchers as well as alongside operations personnel in a rapid-response, often ambiguous environment. - Strong written and verbal communication. - High attention to detail and ability to recognize patterns and anomalies in qualitative and/or quantitative data. - Collaborative attitude and ability to foster a positive work environment. - Very comfortable using emerging technologies and different software systems. - High comfort working with Google Docs, Google Sheets, or similar products. - Undergraduate degree in psychology, research methods, survey methodology, human computer interaction, sociology, or related field. Preferred Qualifications - Previous work in a consulting environment conducting research for commercial clients. - Previous work with early-to-mid stage startups and/or FAANG or other top tech companies. - Graduate degree.

Role Description Welo Data is seeking attentive listeners to join an exciting AI training data project for one of the world's leading voice AI platforms. Your contributions will directly enhance how the platform understands Flemish dialects. - Listen to 5-second audio clips and transcribe them exactly as spoken. - Follow a clear, well-documented style guide for punctuation, formatting, and audio flags. - Flag clips with background noise, cut-off speech, or unclear audio using simple codes. - Benefit from flexible working hours while maintaining an average completion time of ~125 seconds per task. Qualifications - Native or near-native fluency in Flemish. - Strong written language skills, including awareness of punctuation and sentence structure. - Reliable computer, high-quality headphones, and stable internet connection. - Comfortable working independently with minimal supervision in a remote environment. - Attention to detail and ability to apply structured guidelines consistently. - Prior experience in transcription, data annotation, or a related field is advantageous but not required. - Availability to commit 10–20 hours per week for up to 6 weeks. Benefits - ✨ Limitless Flexibility: Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy. - 🌱 Limitless Growth: Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise. - 🌍 Limitless Support: Be part of a global contributor community with responsive guidance and support. - 💡 Real Impact: Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills. Company Description Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

• Analyzes, designs, and modifies software applications, including encoding, testing, debugging and installing to support implementation of one or more software modules. • Serves as a liaison between the IT Department, vendors and clients for multiple systems/applications. • Gathers and works with departments to prioritize development initiatives and activities. • Provides analysis of workflow and implements solutions to meet department needs. • Provides technical/application assistance to clients and IT staff as appropriate. • Creates and maintains all documentation for all assigned applications, and develop, plan and execute testing for supported applications. • Participates in support for systems both daily and during implementations. • Works collaboratively with IT Educators to ensure system feature and function modifications are shared with educators so training plans and documentation can be updated appropriately. • Serves as a mentor to Epic Applications Analyst I.