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Business/Data Analyst

AKTRA INC

McLean, Virginia, United States · 정규직

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경험
1~2년
샐러리
채용 공고
1
게시됨
17시간 전
작업 모드
사무실에서
교육
석사 학위
재개하다
신청 시 필수 사항

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직무 설명

Overview

We are looking for a Business/Data Analyst to contribute to data-driven projects within a dynamic financial services setting. The candidate will engage in analyzing datasets, delivering insights, supporting reporting efforts, and working collaboratively across teams to enhance business and operational outcomes.

Key Responsibilities

  • Evaluate business and financial data to uncover patterns, challenges, and potential improvements.
  • Develop and refine SQL queries for report generation and data verification.
  • Engage with stakeholders to gather business requirements and enable informed decision-making.
  • Prepare reports, dashboards, and summaries for various business users and leadership teams.
  • Conduct data quality assessments and resolve inconsistencies.
  • Contribute to continuous process improvement and enhancing operational efficiency.
  • Collaborate closely with both technical and business teams in a cooperative work environment.

Required Qualifications

  • Master’s degree in fields such as Business Analytics, Data Analytics, Finance, Information Systems, Computer Science, Economics, or related disciplines.
  • Between one and two years of professional experience in roles like Business Analyst, Data Analyst, or equivalent analytical positions.
  • Proficiency in SQL, including query writing, data analysis, and reporting.
  • Knowledge of financial services sectors, including banking and mortgage domains.
  • Strong analytical thinking, problem-solving, and effective communication abilities.
  • Experience in collecting business requirements and translating them into actionable, data-driven insights.
  • Familiarity with Microsoft Excel and data visualization or reporting tools is advantageous.

Preferred Skills

  • Experience using Python for data manipulation or automation tasks.
  • Acquaintance with AWS cloud platforms or cloud-based data environments.
  • Understanding of ETL workflows and proficiency with BI tools such as Tableau or Power BI.
  • Exposure to Agile or Scrum frameworks.

Work styles they’re looking for

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