Senior Data Analyst

2 weeks ago


Delhi, Delhi, India BrightEdge Full time
We are seeking a skilled and detail-oriented Data Analyst to join our team.

The ideal candidate will have a strong foundation in data analysis, statistical methodologies, and a proficiency in various tools and platforms.

As a Data Analyst, you will be responsible for interpreting complex data sets, implementing data-driven solutions, and contributing to the development of data-driven strategies to drive business decision-making.


Key Responsibilities:
Utilize Python for data manipulation, analysis, and visualization.
Create and develop interactive dashboards and reports using Tableau.
Perform in-depth data analysis to identify patterns, trends, and insights.

Optional:
Generate graphs to illustrate data trends and relationships.

Optional:
Apply statistical techniques to support data-driven decision-making.

Optional:
Conduct multivariate analysis as needed for specific projects.
Utilize Time Series Forecasting techniques to predict future trends and patterns.
Implement Linear Regression models for predictive analytics.
Ensure data accuracy, completeness, and consistency through effective Data Quality procedures.
Work with Big Data technologies to handle and process large volumes of data.
Proficiency in Google Cloud Platform (GCP) and Amazon Web Services (AWS).

Optional:
Familiarity with ClickHouse for efficient data processing.
Utilize BigQuery, Redshift, and Aurora for data storage and analysis.

Optional:
Understanding of Hadoop, Hive, Impala, Kudu, Apache, and OLAP for big data analytics.
Collaborate with cross-functional teams to understand business requirements and deliver actionable insights.

Key Skills and Qualifications:
Proficiency in Python for data analysis, manipulation, and visualization.
Strong knowledge and experience in Tableau for creating interactive dashboards and reports.
Experience in data analysis and the implementation of statistical methodologies.

Optional:
Experience in creating data visualization graphs to support analysis.

Optional:
Proficiency in multivariate analysis and application of statistical techniques.
Strong understanding of Time Series Forecasting and Linear Regression models.
Proven experience in ensuring Data Quality and data integrity.
Hands-on experience with Big Data technologies and platforms.
Familiarity with Google Cloud Platform (GCP) and Amazon Web Services (AWS).

Optional:
Knowledge of ClickHouse, BigQuery, Redshift, Aurora, Hadoop, Hive, Impala, Kudu, Apache, and OLAP is a plus.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal abilities.

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