Data & Business Insight Analyst
Fortray Global Service Limited
New York City Metropolitan Area · Full Time
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- Experience
- Up to 1 yrs
- Salary
- —
- Openings
- 1
- Posted
- 2 hours ago
- Work mode
- In office
- Education
- Bachelor's Degree
- Eligibility
- Recent graduates, final-year students, and early-career candidates with a bachelor’s degree completed or in progress who are interested in data analytics, business intelligence, business operations, and problem-solving can apply.
- Resume
- Required to apply
Where you'll work
Job description
About the Role
This is an entry-level opening for a motivated, detail-focused Data & Business Insights Analyst. It is suited to recent graduates, final-year students, and people starting out in data analytics or business intelligence. The role centers on gathering, examining, and interpreting business information to guide decisions, strengthen efficiency, and uncover areas for growth. Prior professional experience is not necessary, and the company will provide structured training plus guidance from experienced team members.
Key Responsibilities
- Gather, structure, and keep business and operational data updated from different sources.
- Help build reports, dashboards, and visual summaries for management use.
- Study trends, patterns, and key performance indicators to identify business insights.
- Use data findings to support informed decision-making across the business.
- Carry out data checks, cleaning, and validation to maintain accuracy.
- Draft recurring business intelligence and performance reports.
- Work with teams across functions to understand reporting and analysis needs.
- Research markets, competitors, and industry trends when required.
- Record analysis outcomes and practical recommendations clearly.
- Look for ways to improve processes and boost operational efficiency.
Requirements
- Completed or ongoing bachelor’s degree in Business Administration, Data Analytics, Information Systems, Computer Science, Statistics, Economics, Mathematics, Engineering, or a related subject.
- Strong analytical thinking and a problem-solving approach.
- Basic awareness of core data analysis concepts.
- Clear verbal and written communication abilities.
- Capability to work both independently and as part of a team.
- Careful attention to detail and good organizational habits.
- Interest in learning new tools, technologies, and business workflows.
- Familiarity with Excel, Google Sheets, or similar spreadsheet tools is preferred.
- Basic exposure to visualization platforms such as Power BI, Tableau, or Looker is an advantage.
- Understanding of databases and SQL basics is desirable.
- Any experience through coursework, internships, academic assignments, or self-study in analytics, reporting, or business intelligence is a plus.
- Knowledge of AI-enabled productivity tools will be considered an added advantage.
What We Offer
- A structured onboarding and training program.
- Practical exposure to real business analytics work.
- Guidance and mentorship from experienced professionals.
- Growth opportunities in data analytics and business intelligence roles.
- A collaborative environment focused on learning and development.
- The chance to build strong reporting and analytical skills valued in the market.
Ideal Candidate
The preferred applicant is a recent graduate or final-year student who is curious, analytical, and eager to learn. You should be comfortable handling numbers and reports, interested in data and business operations, and motivated to build a long-term career in Data Analytics, Business Intelligence, or Business Operations.
Additional Information
Experience needed: 0 to 1 year, with no prior professional experience required.
Education level: Bachelor’s degree completed or currently being pursued.
Seniority: Entry level.
Relevant industries include Information Technology, Business Services, Consulting, Analytics, Staffing & Recruiting, or similar fields.
Equal Opportunity
The employer promotes an inclusive, growth-oriented workplace and welcomes applications from all qualified candidates.