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YO IT Consulting

Data Analyst Excel

YO IT Consulting

Remote · Tempo pieno

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Esperienza
Qualsiasi
Stipendio
Aperture
1
Pubblicato
5 ore fa
Modalità di lavoro
Lavoro da casa
Riprendere
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Descrizione del lavoro

Job Summary

This contract role involves leveraging your data analysis expertise to support AI system training by providing high-quality, real-world data input. While experience in AI is not mandatory, your specialized domain knowledge is essential.

Key Responsibilities

  • Perform comprehensive data analysis using Microsoft Excel to extract significant insights and aid decision-making across various departments.
  • Work closely with project stakeholders to grasp data requirements and transform them into insightful analyses.
  • Cleanse, review, and ensure the accuracy, consistency, and integrity of datasets.
  • Create clear, concise reports and visual representations to convey analytical findings to both technical and non-technical audiences.
  • Detect patterns, irregularities, and opportunities within complex datasets, supporting strategic initiatives.
  • Thoroughly document approaches, results, and suggestions to maintain transparency and reproducibility.
  • Offer your expertise to improve data-centered decision-making processes within client teams.

Required Qualifications and Skills

  • Demonstrated experience in business data analysis utilizing Microsoft Excel as the primary tool.
  • Exceptional meticulousness and precision in handling and reporting data.
  • Strong communication skills, both written and verbal, enabling clear explanation of analytical results.
  • Proven capability to collaborate effectively with multiple teams to drive business results.
  • Deep knowledge of Excel’s functions, formulas, and features for data visualization.
  • Skilled at identifying dataset inconsistencies and applying appropriate corrections.
  • Proven experience in fast-paced, data-centric work environments.

Preferred Attributes

  • Experience delivering data insights that support cross-departmental business strategies.
  • Comfortable presenting analytical findings to a range of audience types.
  • Familiarity with supplementary data analysis or business intelligence software.

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