About InsightFore
InsightFore is a boutique Data & AI Consulting firm helping organizations simplify complexity, clarify direction, and deliver measurable outcomes. We provide vendor-neutral advisory, architecture, governance, enablement, and guided execution across the Data & AI lifecycle.
The Role
We are looking for hands-on Data Analysts who are dedicated and reliable to support an upcoming enterprise Data & AI project, building on our previous operating model design.
You will work alongside our Consultant Lead and the client business and technical stakeholders to translate Analytics engineering and optimization practices into working implementations and operationalization, including:
- Translate business needs into analytical requirements.
- Prepare, validate, and analyze data from multiple sources.
- Build and optimize dashboards, reports, and KPI frameworks.
- Support data modeling, documentation, and quality assurance.
- Communicate trends, findings, and practical recommendations.
- Apply improvements with guidance from InsightFore’s analytics experts.
Qualifications
- 3+ years of hands-on experience in data analysis, reporting, or business intelligence.
- Proficiency in SQL and a BI tool such as Power BI, Tableau, or Looker.
- Strong analytical thinking and attention to data quality.
- Ability to communicate with technical and non-technical audiences.
- Familiarity with analytics engineering, data modeling, or Python is an advantage.
- Comfortable learning through structured guidance and feedback.
Why Join This Project?
You will contribute to a high-impact enterprise Data & AI initiative focused on applying practical Analytics Engineering and Optimization practices. You will collaborate with experienced consultants, work on real enterprise use cases, and help build sustainable implementation and operational capabilities within the client organization.
If you enjoy combining practical Data Analytics with structured engineering + optimization practices and helping teams move from learning into real implementation, we would like to hear from you.
Candidates are welcome to send their CV to [email protected].
We will contact only shortlisted candidates for the next stage of the selection process, no later than two weeks after you submit your application.
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