Data Analyst

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.


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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.