Business Analytics Intern

Bright Network Consulting

United States

On-site

USD 21,000 - 30,000

Full time

13 hours ago
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Job summary

Bright Network Consulting is seeking a Business Analytics Intern for a US client to gain hands-on experience in data interpretation, reporting, and data-driven decision making. You will work with stakeholders to collect data, build Excel models, and develop dashboards using Power BI or Tableau.

Ideal candidates are detail-oriented, have strong analytical skills, and are eager to learn modern analytics techniques while supporting regular reporting and performance analysis across business

Qualifications

  • Experience or coursework in business analytics and data interpretation.
  • Familiarity with Excel/Google Sheets for data manipulation.
  • Exposure to dashboards and data visualization concepts.
  • Ability to communicate findings clearly.

Responsibilities

  • Collect, organize, and analyze business data from multiple sources.
  • Identify trends and risks through data analysis.
  • Assist in preparing reports, dashboards, and performance summaries.
  • Monitor KPIs and support regular reporting.
  • Perform data cleaning, validation, and quality checks.
  • Translate business requirements into analytical outputs and reports.
  • Support data-driven recommendations for decisions.
  • Conduct market, customer, and competitor analysis.
  • Assist with forecasting, budgeting, and performance analysis.
  • Develop Excel-based models and trackers.
  • Support dashboards using Power BI/Tableau or similar tools.
  • Gather and clarify reporting requirements with stakeholders.
  • Analyze customer and operational data for process improvement.
  • Measure effectiveness of business initiatives.
  • Prepare data summaries for internal discussions.
  • Maintain documentation of analyses and findings.
  • Collaborate with cross-functional teams on analytics projects.
  • Stay updated on industry trends and BI practices.
  • Contribute ideas to improve reporting processes.

Skills

Strong analytical and problem-solving
Business analytics and data
Excel or Google Sheets
Data visualization concepts
SQL/Power BI/Tableau/Python basics
Attention to detail
Written and verbal communication
Presenting findings clearly
Multitasking under deadlines
Willingness to learn new tools

Tools

Power BI
Tableau
SQL
Python

Job description

We are hiring a Business Analytics Intern on behalf of one of our clients in the United States. This opportunity is designed for individuals who want to gain practical exposure to business analytics, data interpretation, reporting, and data-driven decision-making within a professional environment.

Key Responsibilities
  • Collect, organize, and analyze business data from multiple internal and external sources
  • Identify trends, patterns, opportunities, and potential business risks through data analysis
  • Assist in preparing business reports, dashboards, presentations, and performance summaries
  • Monitor key performance indicators and support regular reporting activities
  • Perform data cleaning, validation, reconciliation, and quality checks to maintain data accuracy
  • Translate business requirements into meaningful analytical outputs and reports
  • Support teams in developing data-driven recommendations for business decisions
  • Conduct market, customer, and competitor analysis to identify emerging trends and opportunities
  • Assist with forecasting, budgeting, and performance analysis where required
  • Develop and maintain Excel-based models, trackers, and analytical reports
  • Support the creation and maintenance of dashboards using Power BI, Tableau, or similar visualization tools
  • Work with stakeholders to gather, document, and clarify business and reporting requirements
  • Analyze customer and operational data to identify areas for process improvement
  • Assist in measuring the effectiveness of business initiatives and operational processes
  • Prepare data summaries and visual presentations for internal business discussions
  • Maintain organized documentation of analytical processes, reports, and findings
  • Collaborate with cross-functional teams to support ongoing analytics and business improvement projects
  • Stay updated on industry trends, analytical techniques, and emerging business intelligence practices
  • Contribute ideas for improving reporting processes, data quality, and analytical workflows
Required Skills
  • Strong analytical and problem-solving abilities
  • Good understanding of business analytics and data interpretation
  • Proficiency in Microsoft Excel or Google Sheets
  • Familiarity with data visualization and dashboarding concepts
  • Basic knowledge of SQL, Power BI, Tableau, Python, or similar analytics tools is preferred
  • Strong attention to detail and data accuracy
  • Good written and verbal communication skills
  • Ability to present analytical findings in a clear and structured manner
  • Ability to manage multiple tasks and work within deadlines
  • Strong willingness to learn and adapt to new tools and technologies
Why Join Us
  • Gain hands-on exposure to real-world business analytics and data-driven projects
  • Work with professionals and gain insight into how analytics supports business decisions
  • Develop practical skills in data analysis, reporting, visualization, and business intelligence
  • Gain experience working with business performance metrics and analytical frameworks
  • Build familiarity with industry-standard analytics and reporting tools
  • Strengthen your analytical thinking and problem-solving capabilities through practical assignments
  • Gain exposure to cross-functional collaboration and stakeholder communication
  • Work on projects that can help strengthen your professional portfolio
  • Develop an understanding of how businesses use data to improve performance and identify opportunities
  • Gain valuable experience that can support your long-term career development in analytics, consulting, business intelligence, or related fields
  • Opportunity to learn modern approaches to data-driven business analysis in a professional environment
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