We are seeking a highly skilled and motivated Data Analyst to join our team. The successful candidate will be responsible for analyzing large datasets, developing insightful reports and dashboards, and supporting data-driven decision making across the organization. This role requires strong analytical and problem-solving skills, proficiency in data analysis tools and techniques, and a passion for data-driven insights.
Essential Duties and Responsibilities:
- Data Analysis and Manipulation:
- Extract, transform, and load data from various sources (databases, APIs, flat files) using SQL and Python (Pandas, NumPy).
- Perform data cleaning, transformation, and enrichment.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop and maintain data pipelines and ETL processes.
- Data Visualization and Reporting:
- Create interactive dashboards and reports using Tableau and Power BI.
- Develop and present data visualizations (charts, graphs, maps) to communicate data insights effectively.
- Prepare and deliver data-driven presentations to stakeholders.
- Data Modeling and Analysis:
- Develop and implement statistical models and machine learning algorithms for predictive modeling and data analysis.
- Perform data mining and analysis to identify key drivers of business performance.
- Conduct A/B testing and other forms of data-driven experimentation.
- Data Quality and Governance:
- Ensure data quality and accuracy throughout the data lifecycle.
- Develop and implement data governance policies and procedures.
- Maintain data dictionaries and documentation.
- Collaboration and Communication:
- Collaborate with business stakeholders to understand their data needs and translate them into actionable insights.
- Communicate complex data concepts effectively to both technical and non-technical audiences.
- Work effectively in a team environment and contribute to a positive and collaborative culture.
Qualifications:
- Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field.
- Experience:
- Minimum 2 years of experience in data analysis or a related field.
- Strong proficiency in SQL and Python (Pandas, NumPy).
- Experience with data visualization tools (Tableau, Power BI) preferred.
- Experience with data warehousing and ETL processes a plus.
- Technical Skills:
- Strong analytical and problem-solving skills.
- Proficiency in SQL and Python (Pandas, NumPy).
- Experience with data visualization tools (Tableau, Power BI).
- Knowledge of statistical methods and machine learning algorithms.
- Experience with data cleaning, transformation, and enrichment.
- Other Skills:
- Excellent communication and presentation skills.
- Strong attention to detail and accuracy.
- Ability to work independently and as part of a team.
- Strong analytical and problem-solving skills.
- A passion for data and a desire to learn new technologies.
To Apply
Please submit your resume and cover letter to ekta@digitalxnode.com
