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BI Data Analyst

3 months ago

Bentonville, United States Tredence Inc. Full time

Hi,


We are looking for BI Data Analyst / Analytics at Bentonville, AR Onsite.


Job Type- Full time with Tredence and Onsite in Bentonville, AR USA.


Role: Data Analytics


Location: Bentonville , USA


Responsibilities:


Stakeholder Engagement:


  • Engage with business stakeholders to understand their challenges, objectives, and requirements.
  • Conduct thorough interviews and meetings to gather detailed information on business problems and pain points.
  • Translate business needs into clear data and analytical requirements.


Data Extraction and Analysis:


  • Identify and access relevant data sources, ensuring data quality and integrity.
  • Extract, clean, and manipulate large datasets using SQL, Python, R, or other relevant tools.
  • Perform comprehensive data analysis to uncover trends, patterns, and anomalies.


Insights and Recommendations:


  • Develop and present detailed reports, dashboards, and visualizations that highlight key findings.
  • Provide clear and actionable observations to clients, backed by data and analytical evidence.
  • Formulate strategic recommendations to address business issues and drive decision-making.
  • Communicate complex analytical concepts in a clear and concise manner to non-technical stakeholders.


Project Management:


  • Lead and manage data analytics projects from inception to completion, ensuring timely delivery and quality outcomes.
  • Define project scope, objectives, and deliverables, aligning them with client expectations.
  • Develop project plans, timelines, and budgets, and monitor progress against these plans.
  • Identify and mitigate project risks, and ensure effective communication throughout the project lifecycle.


Qualifications:


  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
  • 3-5 years of experience in data analysis, business intelligence, or a related role.
  • Proficiency in data analysis tools and languages such as SQL, Python, R, Excel, and data visualization tools like Tableau, Power BI, or similar.
  • Strong understanding of statistical methods, data modeling, and machine learning techniques.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills, with the ability to convey complex information to a diverse audience.
  • Proven experience in managing multiple team members simultaneously, with a track record of successful project delivery.
  • Preferred - Functional knowledge and experience in the Retail space.