Senior Data Analyst

7 - 12 years

20 - 30 Lacs

Posted:3 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

About the Role:

Responsibilities:

  • Collect, clean, and analyze data from various sources.
  • Design and maintain data pipelines to ensure data quality and integrity.
  • Develop and maintain reports and dashboards in excel and Power BI.
  • Utilize SQL and Python and PySpark for data manipulation and analysis.
  • Identify trends, patterns, and anomalies in data sets.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
  • Communicate findings and insights to stakeholders through reports and presentations.
  • Develop and implement predictive models using machine learning techniques.

Qualifications:

  • Bachelor’s or Master’s degree in data science, Statistics, Computer Science, or a related field.
  • Proven experience as a Data Scientist/Analyst or similar role.
  • Proficiency in SQL, Excel, Power BI, Python and PySpark.
  • Experience with data pipeline design and implementation.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.

Preferred Skills:

  • Knowledge of machine learning frameworks.
  • Experience with Azure cloud platform.
  • Experience with data visualization tools like Power BI.

Location:

Job Type:

About the Role:

Responsibilities:

  • Collect, clean, and analyze data from various sources.
  • Design and maintain data pipelines to ensure data quality and integrity.
  • Develop and maintain reports and dashboards in excel and Power BI.
  • Utilize SQL and Python and PySpark for data manipulation and analysis.
  • Identify trends, patterns, and anomalies in data sets.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
  • Communicate findings and insights to stakeholders through reports and presentations.
  • Develop and implement predictive models using machine learning techniques.

Qualifications:

  • Bachelor’s or Master’s degree in data science, Statistics, Computer Science, or a related field.
  • Proven experience as a Data Scientist/Analyst or similar role.
  • Proficiency in SQL, Excel, Power BI, Python and PySpark.
  • Experience with data pipeline design and implementation.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.

Preferred Skills:

  • Knowledge of machine learning frameworks.
  • Experience with Azure cloud platform.
  • Experience with data visualization tools like Power BI.

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