- Hybrid Working Arrangement
- A collaborativeculture that supportsfast growth.
About Our Client
This organization is a large entity in the Technology & Telecoms industry, delivering innovative solutions and services. It is known for its commitment to excellence and fostering a culture of innovation within the technology sector.
Job Description
Product Discovery & Strategy
- Partner with product managers and stakeholders to define problem statements, business objectives, and success metrics (OKRs/KPIs).
- Conduct discovery using qualitative and quantitative methods (customer interviews, journey mapping, funnel analysis, cohort analysis).
- Benchmark competitors and market trends; synthesize insights into opportunity assessments and product briefs.
Requirements & Delivery
- Translate business needs into clear user stories, acceptance criteria, workflows, and wireframes (where applicable).
- Facilitate backlog grooming, prioritization, and sprint planning using frameworks (e.g., RICE, MoSCoW).
- Support UAT planning and execution; document defects, track resolution, and signoff criteria.
Analytics & Reporting
- Build and maintain dashboards and recurring reports (e.g., product performance, conversion, retention, operational KPIs).
- Design and evaluate experiments (A/B tests), ensuring proper instrumentation and statistical validity.
- Perform ad‑hoc analyses to diagnose issues (e.g., spike investigations, drop-offs, root cause analysis) and recommend actions.
Stakeholder Management & Communication
- Lead cross-functional workshops (requirements, process mapping, impact assessments).
- Create clear, concise documentation (BRDs, PRDs, process maps, decision logs).
- Present insights and recommendations to leadership with a strong business narrative.
Process & Governance
- Maintain source-of-truth documentation; ensure traceability from business objectives → requirements → releases → measured outcomes.
- Support data quality, taxonomy standards, and analytics governance (naming conventions, event tracking plans).
- Identify and implement process improvements that increase delivery speed and quality.
The Successful Applicant
Must-Haves
- Proven experience in Product Analysis, Business Analysis, or a similar role.
- Strong analytical skills; proficient in SQL and BI tools (e.g., Power BI/Tableau/Looker).
- Experience writing user stories, acceptance criteria, and process flows; familiarity with Agile/Scrum.
- Ability to translate complex data into clear business recommendations and narratives.
- Excellent communication and stakeholder management.
Nice-to-Haves
- Experience with product analytics tools (e.g., GA4, Amplitude, Mixpanel, Pendo).
- Familiarity with A/B testing tools and experimentation design.
- Wireframing/prototyping (e.g., Figma, Balsamiq).
- Exposure to API concepts, data pipelines, or basic Python for analysis.
What’s on Offer
- Competitive compensation package commensurate with experience and level
- Health and wellness benefits, including HMO coverage
- Opportunities for professional growth, skills development, and career progression
- Exposure to cutting-edge AI technologies and the opportunity to work with cross-functional experts
- Hybrid or flexible work setup (depending on business needs)
- Supportive, collaborative, and innovation-driven culture
- Chance to contribute to impactful AI products that shape the organization's digital future