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Data Analyst - Business (Remote)

Hired

Remote · Vertrag

Bewerben Sie sich als Erste/r!

Erfahrung
Beliebig
Gehalt
USD 30 – USD 100 / hour
Stellenangebote
1
Veröffentlicht
vor 4 Stunden
Arbeitsmodus
Arbeiten von zu Hause
Wieder aufnehmen
Bewerbung erforderlich

Stellenbeschreibung

Role Overview

We are seeking a Business Data Analyst on a contract basis to remotely analyze extensive datasets, highlight trends, and translate these insights into actionable business decisions. This opportunity allows you to contribute meaningfully in a dynamic environment as part of a global leader in the software and data analytics sector.

Key Responsibilities

  • Gather, clean, and statistically analyze large volumes of data to identify meaningful trends and patterns.
  • Design and sustain dashboards and reports that effectively communicate essential metrics and insights.
  • Partner with various internal teams to clarify data needs aligned with organizational goals.
  • Create on-demand reports and data visualizations to aid decision-making processes across departments.
  • Perform rigorous data validation and quality assurance to maintain accuracy and consistency.

Required Skills and Qualifications

  • Mastery of SQL for database querying and management.
  • Experience with data visualization platforms such as Tableau, Power BI, or equivalent tools.
  • Strong analytical acumen for interpreting complex datasets.
  • Familiar with statistical methods and data modeling approaches.
  • Proficiency in Python or R for processing and analyzing data.
  • Advanced capabilities in Excel, including pivot tables and complex functions.
  • Detail-oriented with the ability to work autonomously.
  • Excellent communication skills to convey insights clearly to non-specialists.

Additional Information

This role is fully remote, offering flexibility to work from any location while supporting cross-time zone collaboration. The employer maintains an equal opportunity stance, emphasizing hiring based on skills and experience alone, welcoming diverse applicants without consideration of previous employment or backgrounds.

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