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Data Analyst

Link Datacenter

Riyadh, Riyadh Province, Saudi Arabia • Vollzeit

Bewerben Sie sich als Erste/r!

Erfahrung
3+ Jahre
Gehalt
Stellenangebote
1
Veröffentlicht
vor 10 Stunden
Arbeitsmodus
Im Büro
Ausbildung
Bachelor-Abschluss
Wieder aufnehmen
Bewerbung erforderlich

Wo Sie arbeiten werden

Stellenbeschreibung

Position Overview

Link Datacenter seeks a meticulous and insight-oriented Data Analyst with a minimum of three years of relevant industry experience to strengthen our analytics team. This role focuses on transforming complex datasets into strategic business insights via sophisticated SQL queries, dynamic dashboards, and rigorous statistical analysis.

Key Responsibilities

  • Craft, implement, and optimize advanced SQL queries to retrieve data from relational and cloud-based databases.
  • Develop, update, and scale interactive visual reports and dashboards using platforms such as Tableau, Power BI, or Looker to monitor vital performance metrics.
  • Conduct thorough exploratory and ad-hoc data analyses to resolve pivotal business questions, track operational patterns, detect anomalies, and uncover growth potential.
  • Ensure data integrity by cleansing, validating, and structuring extensive datasets across all reporting systems.
  • Collaborate with product development, marketing, operations, and leadership teams to capture business needs and define relevant metrics.
  • Automate routine reporting tasks using Python, R, or ETL/ELT toolsets to enhance process efficiency.

Qualifications and Requirements

  • A minimum of three years professional experience in data analytics, business intelligence, or a closely related technical specialty.
  • Expertise in SQL including advanced querying techniques such as joins, window functions, and subqueries.
  • Proficient with business intelligence platforms capable of producing production-level dashboards, including Power BI, Tableau, or Looker Studio.
  • Strong programming abilities in Python or R with practical knowledge of libraries such as Pandas and NumPy for data processing and automation.
  • Bachelor's degree in fields like Computer Science, Statistics, Data Analytics, Mathematics, Economics, or a quantitatively focused discipline.

Work styles they’re looking for

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