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- A global information technology, consulting, and business process services company, headquartered in India, provides a broad spectrum of services, including IT consulting, application development, business process outsourcing, and digital solutions.
- Serving clients across diverse industries and in over 167 countries, the company offers technologydriven solutions to enhance efficiency and innovation.
- With a global presence, it has emerged as a key player in the IT services and consulting space, contributing to the digital transformation of businesses worldwide.
- Acquiring data and their access from primary or secondary data sources .
- Proven working experience as a Data Analyst or Business Data Analyst
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Good in documentation Skills
- SQL(5+ Years Experience)
- PYSPARK (5+ Years Experience)
- Utilize PySpark to extract and collect data from various sources such as databases, data lakes, and streaming platforms.
- Write complex SQL queries to retrieve relevant data from structured and unstructured datasets.
- Perform data cleaning and preprocessing using PySpark transformations and SQL queries to ensure data quality and consistency.
- Handle missing values, outliers, and data anomalies effectively.
- Use PySpark and SQL to conduct exploratory data analysis (EDA) to identify patterns, trends, and anomalies in the data.
- Apply statistical analysis and hypothesis testing techniques to derive actionable insights from the data.
- Transform raw data into meaningful insights through data manipulation techniques using PySpark.
- Develop and implement data models and algorithms to support analytical requirements.
- Create visualizations using PySpark and SQL results to present analysis findings effectively.
- Utilize visualization tools like Matplotlib, Seaborn, or Tableau for creating insightful visual representations of data.
- Prepare comprehensive reports and documentation summarizing data analysis findings and insights.
- Document data analysis processes, methodologies, and results for reproducibility and future reference.
- Collaborate with crossfunctional teams, including data engineers, business analysts, and stakeholders, to understand business requirements and deliver insights.
- Communicate complex technical concepts and analysis results to nontechnical stakeholders in a clear and understandable manner.
- Ensure adherence to data governance policies and standards in data handling and analysis.
- Conduct quality assurance checks to validate data accuracy, completeness, and integrity.
- Stay updated with the latest advancements in PySpark and SQL technologies and methodologies.
- Continuously improve skills in data analysis, programming, and statistical techniques.
- Identify and solve complex data analysis problems using PySpark and SQL.
- Make datadriven decisions and provide actionable recommendations to support business objectives.
- Manage multiple data analysis projects simultaneously, ensuring timely delivery and quality outcomes.
- Prioritize tasks and allocate resources effectively to meet project deadlines.
- Provide guidance, training, and mentorship to junior data analysts on PySpark and SQL skills and best practices.
Data Analyst - Bangalore, India - Varite India
Description
About the job :
Company Name :
VARITE India Private Limited
About The Client :
Qualifications :
Technology :
Roles and Responsibilities :
Data Collection and Extraction :
Data Cleaning and Preprocessing :
Data Analysis and Interpretation :
Data Transformation and Modeling :
Data Visualization :
Reporting and Documentation :
Collaboration and Communication :
Data Governance and Quality Assurance :
Continuous Learning and Improvement :
Problem Solving and Decision Making :
Project Management :
Training and Mentorship :