Your Role and Impact
- Key Responsibilities:**
- Collaborate with cross-functional teams to gather and understand data requirements.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Design, develop, and maintain interactive Power BI dashboards and reports that effectively communicate insights to stakeholders.
- Utilize Python for data manipulation, analysis, and visualization tasks.
- Support the integration of data from various sources and ensure data quality and accuracy.
- Present findings and recommendations to stakeholders in a clear and concise manner.
- Required Skills:**
- Minimum of 4 years and a maximum of 6 years of experience in data analytics, with a strong focus on Power BI.
- Proficiency in Python for data analysis and visualization.
- Solid experience in exploratory data analysis techniques to derive insights from complex datasets.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication skills, with the ability to convey complex information to non-technical stakeholders.
Your Contribution
Job Title: Python Developer/Data Analyst
Experience Required: 4 to 6 years
Roles And Responsibilities:
- **Data Analysis and Visualization:**
- Utilize Power BI to create interactive dashboards and reports that effectively communicate data insights to stakeholders.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large datasets.
- **Data Management:**
- Collaborate with data engineering teams to gather, clean, and transform raw data into actionable formats, ensuring data accuracy and integrity.
- Assist in defining data requirements and specifications for ongoing and upcoming data projects.
- **Scripting and Automation:**
- Write Python scripts to automate data extraction, transformation, and loading (ETL) processes to enhance operational efficiency.
- Implement data quality checks and validation processes using Python to maintain high data reliability.
- **Collaboration:**
- Work closely with cross-functional teams, including business stakeholders and IT personnel, to understand data needs and deliver actionable insights.
- Participate in team meetings to share findings, discuss analytical approaches, and align on project objectives.
- **Reporting and Presentation:**
- Prepare and present analytical findings to senior management, providing clear recommendations based on data insights.
- Develop documentation for dashboards, reports, and analytical methods for future reference and training purposes.
- **Continuous Learning:**
- Stay updated on industry trends, data analytics tools, and best practices to enhance skill set and contribute to the team's innovation.
- Participate in training sessions and workshops to advance knowledge in Power BI and data analysis methodologies.
- Required Skills:**
- Proficiency in Python for data analysis and visualization.
- Strrong experience with SQL and Power BI, including dashboard creation and data storytelling.
- Knowledge of exploratory data analysis techniques and statistical methods.
- Excellent problem-solving skills with the ability to think critically and analytically.
- Effective communication skills to present findings to both technical and non-technical stakeholders.
- Preferred Qualifications:**
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
- Previous experience in a similar role within a financial services or insurance environment is an advantage.
