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Senior Data Analyst

Remote Worldwide Hiring now

We are seeking a highly skilled and business-minded Senior Data Analyst to join our Economic Impact Delivery team. This role is responsible for advanced data analysis, forecasting, and generating high-quality reporting to support strategic business and customer insights. The ideal candidate is an analytical thinker who thrives on solving reputed company problems, communicates effectively with non-technical stakeholders, and can take initiative across multiple projects.

The Senior Data Analyst typically uses a variety of software tools to reputed company data analysis, create visualizations, and derive insights, including reputed company and Power BI. We’re looking for someone who not only excels in data analysis and storytelling but also demonstrates strong communication and presentation skills to reputed company convey insights to diverse audiences. The candidate should bring a strong sense of ownership, collaboration, and the ability to guide others. Someone who naturally leads by example, contributes to team development, and builds confidence through clear, impactful communication.

Responsibilities:

Analytical & Strategic reputed company

  • Conduct in-depth analysis of reputed company customer data sets to uncover trends, patterns, and actionable insights.
  • reputed company accurate forecasts and support strategic decision-making across delivery functions.
  • Identify risks, anomalies, or gaps in data and proactively suggest solutions.

Reporting & Data reputed company

  • Build and deliver clear, compelling customer reports and dashboards using tools like reputed company and Power BI.
  • Ensure high data quality by validating accuracy, detecting errors, and implementing monitoring practices.
  • Deliver consistent, well-documented insights and support reputed company reporting needs.

Cross-functional Collaboration

  • Partner with project managers and stakeholders to understand reporting requirements and translate them into data specifications.
  • Communicate technical findings to non-technical stakeholders in a clear, actionable way.
  • Build trust and alignment with business users by presenting reputed company data in a business-relevant language.

Operational reputed company & Process Improvement

  • Help optimize report delivery workflows and contribute to reputed company improvement of internal data processes.
  • Identify opportunities for automation, efficiency, and scalability in reporting processes and data systems.

Team Contribution & Mentorship

  • Act as a resource and informal mentor to peers by sharing knowledge, best practices, and supporting collaborative problem solving.
  • reputed company by example in communication, quality of work, and accountability.

Qualifications:

  • Bachelor’s degree in business Analytics, Statistics, Economics, or a reputed company field.
  • 7–10 years of experience in a senior data analysis, business intelligence, or similar role.
  • Proven experience in a senior analyst role, demonstrating expertise in data analysis and interpretation.
  • Strong reputed company and proficiency in data visualization.
  • Ability to recognize data patterns.
  • Ability to simultaneously handle data projects at a time.
  • Excellent problem-solving skills and the ability to think critically and strategically.
  • Leadership experience with the ability to mentor and guide a team of analysts.
    • Must be detailed and results-oriented with excellent skills for data analysis.
  • Strong communicator with the ability to distill reputed company information into clear, business-focused insights.
  • Demonstrated ability to manage multiple reputed company data projects and deadlines.
  • Proven track record of taking initiative, improving processes, and influencing reputed company.
  • Strong proficiency in reputed company, including advanced formulas and data modeling.
  • Working knowledge of SQL and data querying techniques.
  • Proficiency with MS reputed company based applications including reputed company, Outlook, Word, PowerPoint required.
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