
Data Analyst
2 weeks ago
- Gather data from various sources such as relational databases, data warehouses, cloud platforms, and external APIs.
- Clean, preprocess, and transform data to ensure quality, consistency, and usability.
- Analyze large datasets using statistical and data mining techniques.
- Automate repetitive and manual processes used for reporting and analytics.
- Reconcile and validate data across multiple systems and datasets.
- Identify trends, patterns, and outliers in complex data sets to generate actionable business insights.
- Design and develop interactive dashboards, reports, and data visualizations in Tableau to support business decision-making.
- Use tools like Tableau, Power BI, and Python (Pandas, Matplotlib, Plotly) for advanced data visualizations.
- Develop and maintain robust SQL queries and Python scripts for data extraction, manipulation, and automation.
- Integrate data pipelines with external/internal APIs for real-time or scheduled data ingestion.
- Collaborate with cross-functional teams to understand data needs and translate business requirements into technical solutions.
- Provide ad-hoc analysis and support ongoing and special analytics projects.
- Recommend improvements in data collection, storage, and reporting processes.
- Stay current with the latest tools, technologies, and best practices in data analytics and visualization.
- Experience with big data technologies like Hadoop, Spark, or AWS/GCP data tools.
- Exposure to machine learning algorithms and data science concepts.
- Relevant certifications in Tableau, Python, Data Analysis, or Business Intelligence.
Qualifications
- Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
- 5+ years of experience as a data analyst or Tableau developer.
- Proficiency in SQL, Python, and RESTful APIs for data access and analysis.
- Strong experience with data visualization tools like Tableau (mandatory) and Power BI.
- Solid understanding of data modeling, ETL processes, and data quality concepts.
- Excellent analytical and problem-solving skills with high attention to detail.
- Strong communication skills; ability to explain technical findings to non-technical stakeholders.
- Experience working independently in a fast-paced, team-oriented environment.
- Preferred domain experience: BFSI (Banking, Financial Services, and Insurance) or Fintech.
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