Job Type:
Full Time
Education: B.Sc/ M.Sc/ B.E/ M.E./ B.Com/ M.Com/ BBA/ MBA/B.Tech/ M.Tech/ All Graduates
Skills:
Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel
Job Title: Data Analyst
Job Summary:
Pinstorm is seeking a highly motivated and analytical-minded Data Analyst to join our team in India. The ideal candidate will be responsible for collecting, processing, and performing statistical analyses on large datasets. You will present insights and recommendations based on your findings to various stakeholders in the organization. This position is perfect for recent graduates or those looking to jump-start their career in data analysis.
Key Responsibilities:
- Collect, clean, and preprocess large datasets from various sources.
- Perform statistical analyses and create visualizations to identify trends, patterns, and correlations.
- Communicate findings and insights to stakeholders through reports and presentations.
- Assist in developing and implementing data-driven strategies to enhance business performance.
- Collaborate with cross-functional teams to ensure data quality and accuracy.
- Identify areas for improvement in data collection, analysis, and reporting processes.
- Stay up-to-date with industry trends and best practices in data analysis.
Requirements:
- Bachelor’s degree in a relevant field such as statistics, mathematics, computer science, or data analytics.
- Strong analytical skills and attention to detail.
- Proficient in SQL, Excel, and statistical software (e.g., R, Python).
- Ability to communicate complex data insights clearly and concisely.
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Strong problem-solving skills and ability to work independently or as part of a team.
- Experience with data modeling and machine learning is a plus.
- Ability to learn new tools and techniques quickly.
If you are a self-starter with a passion for data analysis and a desire to work in a fast-paced, dynamic environment, we encourage you to apply.
