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Data Analyst

Data Analyst

Kantar

0 - 3 years

1 - 5 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

data analyst matlab s3 python data analysis scala data mining ai power bi machine learning cloud technologies sql analytics r data science redshift ec2 grafana regression dbt aws etl user engagement programming

Work Mode

Work from Office

Job Type

Full Time

Job Description

Join Our Data Science Team as a Mid-Level Data Analyst!

We are seeking candidates with experience in a data-related role, possessing a solid foundation in programming (Python and SQL) and a passion for redefining data into actionable insights. You will join our data science department and work directly with our Senior Data Scientists.

Why This Job is Important

This role is crucial for ensuring the functionality and performance of our data ecosystem. By analyzing user acquisition and retention data, you will help identify and resolve weaknesses and bugs in existing models, ultimately contributing to the improvement of our technologies.

What Youll Be Doing

Monitoring and Maintenance: Lead all aspects of alerts to ensure the ecosystem's functionality, working with existing models for day-to-day operations and performance.
Data Analysis: Analyze user acquisition and retention data, identifying weaknesses and bugs in existing models for resolution.
Analytics and Machine Learning: Run analytics to extract statistics, patterns, and design machine learning models to improve existing technologies.
Collaboration: Work closely with the development team, contributing to data/statistics tasks for improving user engagement. Collaborate with various stakeholders to formulate pertinent questions and provide actionable insights.
Data Transformation: Employ ETL tools like DBT to transform data, making it more accessible to the broader business. Use time series graphing services such as Grafana to create visualizations, monitor trends, and identify patterns.

The Ideal Skills & Experience

Experience with data-related technologies, including database queries, programming, data mining/wrangling, analysis, and reporting.
Strong proficiency in SQL, with the ability to read, write, and query effectively.
A keen curiosity about data, statistics, machine learning, and data science.
Strong problem-solving skills with an emphasis on product development, logical thinking, and critical analysis.
Experience with statistical computer languages such as Python, Scala, R, MATLAB.
Knowledge of statistical techniques and concepts, including regression, properties of distributions, statistical tests, and proper usage.
Experience using web services and languages, including AWS, EC2, S3, Redshift, DigitalOcean, etc.
Meticulous, with a good work ethic and the ability to collaborate across different teams.
Experience in Excel and Power BI is a plus.

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Data Analyst