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YO IT Consulting

Data Analyst Excel - Remote

YO IT Consulting

Remote চুক্তি

প্রথম আবেদনকারী হোন।

অভিজ্ঞতা
যেকোনো
বেতন
শূন্যপদ
1
পোস্ট করা হয়েছে
৫ ঘন্টা আগে
কাজের ধরণ
বাড়ি থেকে কাজ করুন
জীবনবৃত্তান্ত
আবেদন করা আবশ্যক

কাজের বিবরণ

About the Role

This contract position involves utilizing your expertise in Microsoft Excel to perform in-depth data analysis that supports AI model training and business decision-making. No previous AI experience is necessary; your familiarity with data and domain knowledge are key assets.

Key Responsibilities

  • Perform thorough data analyses using Microsoft Excel to extract insights that inform decisions across departments.
  • Collaborate closely with stakeholders to comprehend data needs and translate them into insightful reports.
  • Cleanse, validate, and verify datasets to maintain high accuracy and data integrity.
  • Create clear and effective reports and visualizations for communication with varied audiences.
  • Detect patterns, anomalies, and opportunities within large data sets to support strategic goals.
  • Document your analytical methods, results, and suggestions with precision.
  • Enhance the customer's data-driven decision processes by sharing your expertise.

Required Qualifications

  • Demonstrable experience in business data analysis primarily using Microsoft Excel.
  • Exceptional precision and attention to detail in managing and reporting data.
  • Strong communication skills, both written and verbal, to clearly convey analytical findings.
  • Proven collaboration skills to work well across various teams and contribute to business outcomes.
  • Comprehensive knowledge of Excel functions, formulas, and visualization tools.
  • Ability to spot data discrepancies and apply corrective actions.
  • Experience working in dynamic, fast-paced environments that rely on data-driven decisions.

Preferred Qualifications

  • Experience providing data insights to cross-functional teams to shape business strategies.
  • Comfort presenting analytical results to both technical and non-technical audiences.
  • Familiarity with other data analytics tools or business intelligence software is advantageous.

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