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Role :Data analyst
Location :as per business needs
About the company and role
Unislink is a leading company committed to Company’s mission or purpose. We are seeking a highly motivated Data analyst to join our team in as per business needs. In this role, you will be responsible for described the primary responsibilities below please have a look. We are looking for individuals with a strong background in Relevant skills or experience mentioned bellow, excellent problem-solving abilities, and a passion for Industry/Fied. If you are a talented and dedicated professional who thrives in a fast-paced environment, we encourage you to apply.
Job Description
UnisLink is a thriving and forward-thinking company dedicated to delivering outstanding customer service and support. We cultivate a supportive, collaborative, and inclusive workplace where every employee feels valued, empowered, and can make significant contributions to our ongoing success. We are committed to creating a positive and productive work environment.
Company Name | Unislink |
---|---|
Role | Data analyst |
Location | as per business needs |
Salary | As per Company norms |
Job Type | Full time |
Responsibilities
- Gather, meticulously analyze, and interpret extensive datasets to uncover meaningful trends, patterns, and insights relevant to business decision-making. Develop and maintain interactive data dashboards and comprehensive reports, tailored to the specific needs of various stakeholders across the organization. Collaborate effectively with team members to thoroughly understand their data requirements, ensuring that delivered insights are both accurate and actionable. Utilize a variety of advanced statistical tools and proven analytical techniques to rigorously analyze data and produce high-quality, insightful reports. Contribute actively to data-driven projects, directly supporting the achievement of key business objectives and strategic goals. Remain current with the latest advancements in data analysis tools, techniques, and industry best practices to maintain a high level of expertise.
Education Qualification
- 0-5 years of practical experience in data analysis or a closely related field (experience in a specific industry is a plus but not required). Proven proficiency in utilizing various data analysis tools and software packages (e.g., SQL, Python, R, Tableau, Power BI – specific tools mentioned are preferred but not mandatory).
Skills
- Exceptional analytical and problem-solving capabilities, including the ability to think critically and creatively to approach complex data challenges. Demonstrated meticulous attention to detail and the ability to handle and manage exceptionally large datasets with accuracy and efficiency. Strong communication skills, capable of translating complex data findings into clear, concise, and readily understandable presentations and reports for diverse audiences. Proven experience working collaboratively and effectively within a team environment, contributing positively to a shared goal and leveraging the strengths of others.
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