Overview

Data & Insights Consultant Jobs in Dubai, Dubai, United Arab Emirates at Syscort Technologies

Title: Data & Insights Consultant

Company: Syscort Technologies

Location: Dubai, Dubai, United Arab Emirates

Role Summary

We are looking for a Data & Insights Consultant who can transform business data into actionable insights and measurable outcomes. This role goes beyond traditional reporting and dashboarding — the focus is on analyzing business performance, identifying opportunities, and recommending data-driven actions across sales, marketing, and operations.

The consultant will work closely with business stakeholders to understand challenges, derive insights from data, and drive continuous improvement through analytics and automation.

Key Responsibilities1. Business Understanding & Problem Structuring

  • Collaborate with stakeholders to understand business objectives, KPIs, and operational challenges
  • Translate business problems into analytical questions and data models
  • Define success metrics aligned with revenue, efficiency, and customer experience

2. Insight Generation & Analysis

  • Analyze data across CRM, marketing platforms, and operational systems
  • Identify trends, patterns, anomalies, and performance gaps
  • Conduct:
  • Funnel analysis (lead → conversion → revenue)
  • Cohort and segmentation analysis
  • Campaign performance and ROI analysis
  • Provide clear “so what” insights, not just data summaries

3. Actionable Recommendations

  • Translate insights into specific, implementable business actions
  • Identify opportunities for:
  • Revenue growth
  • Cost optimization
  • Process improvement
  • Recommend automation, workflow improvements, and system enhancements

4. Stakeholder Engagement & Advisory

  • Act as a trusted advisor to business and functional leaders
  • Present insights in a simple, structured, and decision-focused manner
  • Drive discussions around data-backed decision making

5. Dashboarding & Reporting (Light but Effective)

  • Build and maintain focused dashboards using Power BI and Microsoft Excel
  • Ensure dashboards highlight:
  • Key KPIs
  • Performance trends
  • Action triggers
  • Avoid over-engineered reporting; focus on usability and clarity

6. Data Integration & Collaboration

  • Work with multiple systems such as CRM, ERP, and marketing tools
  • Collaborate with technical teams for data extraction, integration, and validation
  • Ensure data quality and consistency across sources

7. Continuous Improvement & Experimentation

  • Suggest and evaluate A/B tests and optimization strategies
  • Monitor impact of implemented actions and refine approach
  • Drive a culture of data-led experimentation and improvement

Key Deliverables

  • Weekly / monthly insight reports with actionable recommendations
  • KPI dashboards focused on business performance
  • Funnel and customer journey analysis reports
  • Data-backed improvement plans and impact tracking

Required Skills & QualificationsExperience

  • 3–6 years in Business Analytics / Data Analytics / Consulting roles
  • Experience working with business stakeholders (sales, marketing, operations)

Core Skills

  • Strong analytical and problem-solving skills
  • Ability to convert data into business insights and actions
  • Excellent communication and storytelling skills

Technical Skills

  • Proficiency in Power BI
  • Advanced skills in Microsoft Excel
  • Working knowledge of SQL
  • Exposure to CRM and marketing platforms is a plus

Preferred Qualifications

  • Experience in consulting or client-facing roles
  • Exposure to automation tools (workflows, APIs, or integrations)
  • Understanding of customer journey analytics and digital channels

Success Metrics (KPIs / KRAs)

  • Quality and impact of insights delivered
  • Measurable business improvements (conversion, revenue, efficiency)
  • Stakeholder satisfaction and adoption of recommendations
  • Reduction in manual reporting and improved decision speed

What We Are NOT Looking For

  • Pure reporting or dashboard-focused profiles
  • Candidates focused only on data extraction and visualization
  • Limited business understanding with heavy tool dependency
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