DATA ANALYTICS SPECIALIST

NOURNET; United Arab Emirates; On-site; AED 120,000 - 180,000; Full time

Job summary

A leading consulting firm is seeking a Data Analytics Specialist to join their team. The successful candidate will be responsible for analyzing data and delivering insights to improve business operations. This role involves extensive use of tools such as Power BI and SQL, and requires a solid understanding of statistical methods and business processes. The ideal applicant will have a Bachelor's degree in a related field and demonstrate strong analytical and communication skills.

Qualifications

• Strong problem-solving skills and ability to interpret complex datasets.
• Understanding of industry-specific processes and KPIs.
• Able to communicate technical findings to non-technical stakeholders.

Responsibilities

• Collect and analyze structured and unstructured data from various sources.
• Provide actionable insights and strategic recommendations to clients.
• Collaborate with data architects and engineers on data solutions.

Skills

Analytical Thinking

Business Acumen

Data Tools

Communication

Project Management

Education

Bachelor's degree in Business Analytics, Data Science, Computer Science, Economics, Statistics

Master's degree or certifications (e.g., CBDA, Microsoft DA-100, Tableau Desktop Specialist)

Tools

Power BI

Tableau

SQL

Excel

Python

R

Job description

Locally available candidates only apply for this job; Jobseekers from any GCC country

Key Responsibilities:

1. Data Analysis
   • Collect and analyze structured and unstructured data from various sources (e.g., CRM, ERP, databases).
   • Develop dashboards, KPIs, and reports using tools like Power BI, Tableau, or Excel.
   • Interpret data trends and patterns to support business decisions and improve operational efficiency.
   • Translate business problems into data-driven solutions.
   • Provide actionable insights and strategic recommendations to clients.
   • Work with clients to understand data needs and deliver appropriate analysis.
   • Ensure data accuracy, integrity, and consistency across reporting tools.
   • Maintain documentation and metadata related to data sources, definitions, and logic.
   • Collaborate with data architects and Data Engineers to align data pipelines and data modeling for overall data solutions.
   • Participate in cross-functional projects including readiness assessment, data gathering, KPI definition, and interaction with clients during data projects.
   • Act as a liaison between business and technical teams to define requirements and validate data deliverables.
   • Understand statistical methods and models (e.g., regression, forecasting) to predict trends and behavior.
   • Support data science or AI/ML projects with exploratory data analysis and feature engineering.
2. Required Skills & Competencies:
   • Analytical Thinking: Strong problem-solving skills and ability to interpret complex datasets.
   • Business Acumen: Understanding of industry-specific processes, KPIs, and challenges.
   • Data Tools: Proficient in Excel, SQL, and BI tools like Power BI, Tableau, or Qlik.
   • Communication: Able to communicate technical findings to non-technical stakeholders.
   • Project Management: Time management and task prioritization skills; familiarity with Agile/Scrum is a plus.
3. Technical Skills (Preferred):
   • SQL (Intermediate to Advanced)
   • Power BI, Tableau, or similar BI platforms
   • Excel (Pivot tables, advanced formulas, Power Query)
   • Python or R (basic data analysis/scripting, optional)
   • CRM or ERP systems knowledge (Salesforce, SAP, Oracle, etc.)
   • Data modeling concepts and tools (e.g., Power Pivot, Star/Snowflake schema)
4. Educational Requirements:
   • Bachelor's degree in Business Analytics, Data Science, Computer Science, Economics, Statistics, or related field.
   • Master's degree or certifications (e.g., CBDA, Microsoft DA-100, Tableau Desktop Specialist) are a plus.

Company Industry

• Consulting
• Management Consulting
• Advisory Services

Department / Functional Area

• IT Software

Keywords

• DATA ANALYTICS SPECIALIST

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