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Data Analyst at Evernile
We are seeking a dynamic and motivated data analyst with 2-3 years of experience to join our team. In this role, you will play a key part in developing data-driven recommendations for our clients, offering an excellent opportunity to grow within the industry and make a substantial impact on meaningful projects. If you are passionate about leveraging data to drive insights and enjoy contributing to impactful solutions, we invite you to be part of our collaborative and innovative team.
Key Responsibilities:
Data Analysis:
Analyze complex datasets from diverse sources to extract meaningful insights.
Collaboration with Client Teams:
Engage with client teams to comprehend business requirements and challenges to provide data-driven solutions aligned with organisational goals.
Dashboard Development:
Design and create interactive reports & dashboards using leading BI tools such as PowerBI and Tableau.
Predictive Analytics & Machine Learning:
Develop predictive models utilising forecasting and machine learning techniques.
Stakeholder Engagement:
Collaborate with stakeholders to gather feedback and refine analytical solutions.
Documentation & Reporting:
Maintain documentation for analytical processes and methodologies. In addition, Generate comprehensive reports to communicate findings and recommendations.
Qualifications & Requirements:
Bachelor's degree in a relevant field (preferably in Data Science, Statistics, or Computer Science).
Proven track record with 2-3 years of experience as a Data Analyst in Ecommerce, Healthcare, or Pharma sectors.
Proficiency in data visualization tools such as Tableau and Power BI, along with expertise in statistical analysis tools.
Strong skills in SQL and Python/R programming.
Hands-on experience in machine learning and predictive modeling.
Excellent communication and presentation skills
To apply for the Data Analyst role, please send your 1 page resume & a concise statement of purpose (100 words limit) to careers@evernile.com, using the subject line: (Your Name) x Application for Data Analyst.
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