- Partner with business stakeholders to understand their data needs and translate them into actionable data analysis projects.
- Gather data from various sources (databases, APIs, flat files) using Python scripts and tools.
- Clean and prepare data for analysis, addressing inconsistencies and missing values.
- Perform exploratory data analysis (EDA) using Python libraries like pandas and NumPy to identify trends, patterns, and outliers.
- Conduct statistical analysis using appropriate techniques (hypothesis testing, regression analysis) to draw meaningful conclusions.
- Develop compelling data visualizations (charts, graphs, dashboards) using tools like Tableau or Power BI to communicate insights effectively.
- Document findings clearly and concisely in reports and presentations for both technical and nontechnical audiences.
- Stay uptodate with the latest data analysis tools and technologies, including Python libraries and data visualization techniques.
- Participate in the development and improvement of data collection and analysis processes.
- Collaborate with engineers and data scientists to ensure data quality and accessibility.
- Bachelor's degree in Computer Science, or a related field (or equivalent experience).
- 24 years of experience as a Data Analyst or similar role.
- Proficiency in Python programming with libraries like pandas, NumPy, and Matplotlib.
- Strong understanding of data analysis concepts (descriptive statistics, hypothesis testing, correlation analysis).
- Experience with SQL for querying relational databases.
- Excellent analytical and problemsolving skills.
- Strong communication and presentation skills.
- Ability to work independently and as part of a team.
- Attention to detail and a commitment to accuracy.
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Data Analyst
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Technical Data Analyst - Bengaluru, India - Jobs for Humanity
Description
Responsibilities :
Qualifications :