Technical Consultant

Job Description:

Key Responsibilities

Client & Stakeholder Engagement (Short-Term Focus)

• Act as the primary point of contact for key clients, translating research goals into technical deliverables.
• Ensure timely, accurate, and high-quality outputs aligned with client expectations and market research standards.
• Partner with research and project managers to ensure stakeholder feedback is embedded in deliverables.

Team Leadership & Capability Development (Short-Term Focus)

• Guide and mentor a multidisciplinary team (SQL, R, Python, Tableau) in delivering data processing and reporting solutions.
• Lead sprint planning, resource allocation, and task optimization across concurrent client deliverables.
• Elevate team performance through structured review processes and personalized skill development plans.

Technical Strategy & Innovation (Growing Long-Term Focus)

• Architect automation and data products to accelerate turnaround time and boost data integrity.
• Conceptualize and build modular backend components using Python, APIs, microservices, and containerized frameworks.
• Drive innovation by integrating LLM-based tools and AI models into existing workflows to enhance analytics and decision support.
• Collaborate cross-functionally to prototype, iterate, and refine full-stack solutions.

• Deliver internal training and documentation to democratize automation across the team.

Required Skills & Qualifications

Must-Have

• 7–10 years of experience in Market Research tech stack.
• Strong leadership with a track record of delivering end-to-end client projects.
• Deep understanding in Forsta Surveys, Qualtrics, SPSS, and data platforms.
• Advanced programming in SQL, Python, R, React, and VBA.
• Familiarity with Agile methodology and project management tools.

Good to Have

• Experience integrating APIs and developing full-stack applications.
• Exposure to LLM-based apps (e.g. GPT integration).
• Understanding of DevOps practices, Git-based version control, and microservice architecture.
• Awareness of PMP or Scrum frameworks.

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