Data Analyst
4 weeks ago
About MS Clinical Research:
MS Clinical is a leading research organization dedicated to advancing the understanding and treatment of multiple sclerosis (MS). We are committed to conducting innovative research and clinical trials to improve patient outcomes and quality of life.
Job Title: Data Analyst
Location: [Bangalore]
Department: [Data Team]
Reports to: [Team Manager]
Job Type: [Full-time]
Job Summary:
We seek a skilled and detail-oriented Data Analyst to join our team. The Data Analyst will be responsible for collecting, processing, and performing statistical analyses of data. The ideal candidate should have strong analytical skills, a passion for data, and the ability to turn data into actionable insights to drive business decisions.
Key Responsibilities:
- Collect, clean, and organize large sets of structured and unstructured data from various sources.
- Conduct data analysis using statistical methods and tools to identify trends, patterns, and insights.
- Develop and maintain reports, dashboards, and visualizations to effectively communicate insights to stakeholders.
- Collaborate with cross-functional teams to define metrics, goals, and reporting needs.
- Support data-driven decision-making by providing actionable insights and recommendations.
- Ensure data accuracy and integrity by implementing and maintaining data validation processes.
- Identify opportunities for process improvements, data automation, and optimization.
- Stay updated on the latest industry trends, technologies, and best practices in data analysis and reporting.
- Assist in ad hoc data requests and projects as needed.
Required Qualifications:
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
- Proven experience as a Data Analyst or in a similar role.
- Proficiency in data analysis tools such as SQL, Python, R, or Excel.
- Experience with data visualization tools like Tableau, Power BI, or similar platforms.
- Strong analytical and problem-solving skills with an attention to detail.
- Ability to interpret and communicate complex data in a simple and meaningful way.
- Knowledge of statistical analysis and modeling techniques.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Experience with database management and querying (e.g., SQL, NoSQL).
- Knowledge of machine learning techniques and algorithms.
- Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, Azure).
- Experience with big data tools and technologies (e.g., Hadoop, Spark).
Personal Attributes:
- Highly organized with the ability to manage multiple projects and deadlines.
- Curious and proactive in learning and exploring new tools, technologies, and methods.
- Strong business acumen and ability to understand the impact of data insights on business outcomes.
- Ability to work independently and as part of a team in a fast-paced environment.
Benefits:
- Competitive salary and performance-based appraisal.
- Health, insurance.
- Yearly Bonuses.
- Opportunities for professional growth and development.
- Leave encashment
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