Razormet Technologies

Data Analyst/Analytics(Graduate-Fresh)

Job description

Key Responsibilities

  • Analyze data to identify trends, patterns, and insights that can inform business decisions.
  • Collaborate with cross-functional teams to develop and implement data-driven strategies.
  • Create and maintain reports and dashboards to communicate findings and recommendations.
  • Ensure data accuracy, integrity, and security through data management practices.
  • Contribute to the development of data governance policies and procedures.
  • Collaborate with cross-functional teams to understand current business processes, workflows, and pain points.
  • Identify opportunities for process optimization, automation, and enhancements to achieve business goals.
  • Develop and maintain Tableau dashboards and reports that effectively visualize data insights, providing stakeholders with a clear understanding of relevant metrics.
  • Translate business requirements into clear and comprehensive documentation, including use cases, user stories, process flows, and functional specifications.
  • Analyze relevant data to identify trends, patterns, and insights that can drive informed decision-making.
  • Collaborate with technical teams to design feasible solutions that align with business needs, considering technical feasibility, cost, and timeline constraints.
  • Lead projects from inception to completion, ensuring that project milestones, deliverables, and timelines are met.
  • Stay updated on industry trends, best practices, and emerging technologies related to business analysis and process optimization.
  • Qualifications and Requirements- Bachelor's degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline. A Master's degree is a plus.

Job Requirements

  • Bachelor's degree in a related field (e.g., statistics, computer science, mathematics).
  • Proficient in Excel and other relevant tools for data analysis.
  • Familiarity with HR operations and data handling is a plus.
  • Strong analytical skills and attention to detail.
  • Ability to work collaboratively in a team environment.

Skills: data,teams,clear,computer science,dashboards,optimization,plus,process optimization,statistics,analytical skills,sql,power bi,python

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