Data Analyst

Job Title: Data Analyst

Location: USA
Experience: 2–4 Years
Employment Type: Full-Time / Contract

Job Summary

We are seeking a detail-oriented Data Analyst with strong experience in data cleaning, analysis, visualization, and reporting to support business decision-making. The ideal candidate will work with large and complex datasets using SQL, Python, R, and BI tools such as Power BI and Tableau, while collaborating with cross-functional teams to deliver actionable insights. Experience with cloud platforms and big data tools is highly desirable.

Key Responsibilities

• Analyze structured and semi-structured data to identify trends, patterns, and insights that support business objectives

• Develop and maintain interactive dashboards and reports using Power BI, Tableau, and Excel

• Write efficient SQL queries to extract, transform, and validate data from relational databases (Oracle, MySQL, Sybase)

• Perform data cleaning, transformation, and validation using Python (Pandas), R, and Excel Power Query

• Work with large datasets using BigQuery, Apache Spark, and Hive to support scalable data analysis

• Automate recurring reports and dashboards to improve reporting efficiency and accuracy

• Collaborate with business stakeholders to gather reporting requirements and translate them into BI solutions

• Support data quality initiatives by identifying inconsistencies and resolving data-related issues

• Document data workflows, logic, and analysis results to ensure transparency and knowledge sharing

• Assist in performance benchmarking and optimization of data queries and pipelines

• Participate in Agile environments and support CI/CD-driven analytics workflows when required

Required Skills & Qualifications

• 2+ years of hands-on experience in Data Analysis or Business Intelligence

• Strong proficiency in SQL for querying and data validation

• Experience with Python and/or R for data analysis and visualization

• Hands-on experience with Power BI and Tableau for dashboard development

• Solid knowledge of Excel (Pivot Tables, Power Query, reporting)

• Experience working with cloud platforms such as Microsoft Azure or Google Cloud Platform

• Familiarity with big data tools like BigQuery, Apache Spark, Hive, and Dataproc

• Understanding of data modeling, data cleaning, and reporting best practices

• Strong analytical, problem-solving, and communication skills

Preferred Qualifications

• Exposure to machine learning or predictive analytics using Python (Scikit-learn)

• Experience analyzing large-scale consumer, retail, or financial datasets

• Knowledge of DevOps or automation tools such as Azure DevOps, CI/CD pipelines, or Git

• Prior experience working in Agile or enterprise support environments

• Relevant certifications in Python, Data Analytics, or Cloud Technologies

Education

• Master’s degree in Information Science, Data Science, Computer Science, or a related field

• Bachelor’s degree in Computer Science, Engineering, or equivalent