Data Analyst ( Python+SQL+DAta Analysis)
Posted on August 19, 2025
Job Description
- Requirements-
- We are seeking a highly experienced and detail-oriented Data Analyst with 8+ years of expertise in data analytics, data modeling, and business intelligence. The ideal candidate will have a strong background in extracting, transforming, and analyzing data from multiple sources to drive strategic decision-making and operational improvements.
- Key Responsibilities:
- Data Acquisition & Integration:
- o Gather and integrate data from diverse sources including relational databases, APIs, flat files, and web scraping tools. o Collaborate with data engineering teams to ensure seamless data ingestion and pipeline optimization.
- Data Quality & Management:
- o Cleanse, validate, and transform data to ensure accuracy, consistency, and completeness.
- o Implement data quality checks and performance optimization techniques.
- Data Modeling & Architecture:
- o Design and maintain scalable data models and schemas that support analytical and reporting needs. o Ensure data models align with business requirements and domain standards.
- Analytical Insights & Reporting:
- o Perform advanced statistical analysis and predictive modeling to uncover trends, patterns, and actionable insights. o Develop and maintain dashboards, reports, and visualizations using tools like Power BI, Tableau, or similar.
- Business Problem Solving:
- o Translate business challenges into data-driven solutions. o Provide strategic recommendations based on data analysis to improve business processes and outcomes.
- Collaboration & Communication:
- o Work closely with cross-functional teams including Data Engineers, Data Scientists, Business Analysts, Solution Architects, and IT/Business stakeholders.
- o Present findings and insights to both technical and non-technical audiences.
- Documentation & Governance:
- o Document end-to-end data flows, data lineage, and maintain data catalogs for various data marts. o Ensure compliance with data governance, security, and integration standards.
- Leadership & Mentorship:
- o Act as a liaison between business and technical teams to ensure alignment on data strategies. o Mentor junior analysts and contribute to the continuous improvement of analytics practices.
- Continuous Learning:
- o Stay abreast of industry trends, emerging technologies, and best practices in data analytics.
- o Promote a culture of innovation and knowledge sharing within the team.
- Required Skills & Qualifications:
- Bachelor�s or Master�s degree in Computer Science, Statistics, Mathematics, or a related field.
- 8+ years of hands-on experience in data analysis, data modeling, and business intelligence.
- Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau).
- Strong understanding of data warehousing concepts, ETL processes, and cloud platforms (e.g., Azure, AWS, GCP).
- Excellent problem-solving, communication, and stakeholder management skills
Required Skills
No specific skills listed.