Analytics Practitioner

Project Role :Analytics Practitioner


Project Role Description :Develop business insights using predictive statistical modeling activities. Use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data.

Must have skills :PySpark, Microsoft Azure Databricks, Microsoft Power BI, Azure Data Lake Storage Gen 2, Azure Synapse Analytics


Good to have skills :NA
Minimum
5 year(s) of experience is required


Educational Qualification :15 years full time education

Summary:As an Analytics & Modeling Practitioner, you will develop business insights using predictive statistical modeling activities. You will use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data. Your typical day will involve leveraging your expertise in statistical modeling to analyze data, identify trends, and provide valuable insights to drive business growth and enhance decision-making processes.
Roles & Responsibilities:

Expected to be an SME, collaborate and manage the team to perform.

Responsible for team decisions.

Engage with multiple teams and contribute on key decisions.

Provide solutions to problems for their immediate team and across multiple teams.

Develop and implement predictive statistical models to analyze data and identify trends.

Use analytical tools and techniques to generate insights and improve decision-making processes.

Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.

Conduct data analysis and modeling to support business strategies and initiatives.
Professional & Technical Skills:

Must To Have Skills:Proficiency in PySpark, Microsoft Power BI, Microsoft Azure Databricks.

Good To Have Skills:Experience with data visualization tools such as Tableau.

Strong understanding of statistical analysis and machine learning algorithms.

Experience with data visualization tools such as Tableau or Power BI.

Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.

Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.
Additional Information:

The candidate should have a minimum of 5 years of experience in PySpark.

This position is based in Mumbai.

A 15 years full time education is required.


Qualifications
15 years full time education