Job Title :- Data Analyst
<>Contract: W2 Only</>Exp :- 10+
Key Responsibilities:-
Collect, process, and analyze large datasets from multiple sources.
Develop reports, dashboards, and visualizations to support business objectives.
Identify trends, patterns, and correlations in data to derive meaningful insights.
Work with stakeholders to understand business needs and provide data-driven solutions.
Ensure data integrity, accuracy, and consistency across various data sources.
Automate data processing and reporting using scripting and BI tools.
Present findings and recommendations to key decision-makers.
Assist in developing data models and predictive analytics solutions.
Stay updated with industry trends, tools, and best practices.
Required Skills & Qualifications:-
Bachelor's or Master s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
Proven experience in data analysis, reporting, and visualization.
Proficiency in SQL and working with relational databases.
Experience with BI tools such as Tableau, Power BI, Looker, or similar.
Strong knowledge of Excel (Pivot Tables, VLOOKUP, Macros, etc.).
Experience with programming languages like Python or R for data analysis.
Familiarity with statistical modeling and machine learning concepts (preferred).
Ability to work with large datasets and optimize data workflows.
Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications:-
Experience with big data technologies (Hadoop, Spark, etc.).
Knowledge of cloud platforms like AWS, Google Cloud Platform, or Azure.
Experience in A/B testing and experimental design.
Understanding of business intelligence and financial analysis.
Job Title :- Data Analyst
<>Contract: W2 Only</>Exp :- 10+
Key Responsibilities:-
Collect, process, and analyze large datasets from multiple sources.
Develop reports, dashboards, and visualizations to support business objectives.
Identify trends, patterns, and correlations in data to derive meaningful insights.
Work with stakeholders to understand business needs and provide data-driven solutions.
Ensure data integrity, accuracy, and consistency across various data sources.
Automate data processing and reporting using scripting and BI tools.
Present findings and recommendations to key decision-makers.
Assist in developing data models and predictive analytics solutions.
Stay updated with industry trends, tools, and best practices.
Required Skills & Qualifications:-
Bachelor's or Master s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
Proven experience in data analysis, reporting, and visualization.
Proficiency in SQL and working with relational databases.
Experience with BI tools such as Tableau, Power BI, Looker, or similar.
Strong knowledge of Excel (Pivot Tables, VLOOKUP, Macros, etc.).
Experience with programming languages like Python or R for data analysis.
Familiarity with statistical modeling and machine learning concepts (preferred).
Ability to work with large datasets and optimize data workflows.
Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications:-
Experience with big data technologies (Hadoop, Spark, etc.).
Knowledge of cloud platforms like AWS, Google Cloud Platform, or Azure.
Experience in A/B testing and experimental design.
Understanding of business intelligence and financial analysis.