Data Analyst

4 weeks ago

Bangalore, India Varite India Full time

About the job :

Company Name : VARITE India Private Limited

About The Client :


- 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 technology-driven 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.

Qualifications :

- 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

- Good Communication Skills


Technology :

- SQL(5+ Years Experience)

- PYSPARK (5+ Years Experience)

Roles and Responsibilities :

Data Collection and Extraction :

- 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.

Data Cleaning and Preprocessing :

- 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.

Data Analysis and Interpretation :

- 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.

Data Transformation and Modeling :

- Transform raw data into meaningful insights through data manipulation techniques using PySpark.

- Develop and implement data models and algorithms to support analytical requirements.

Data Visualization :

- 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.

Reporting and Documentation :

- Prepare comprehensive reports and documentation summarizing data analysis findings and insights.

- Document data analysis processes, methodologies, and results for reproducibility and future reference.

Collaboration and Communication :

- Collaborate with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand business requirements and deliver insights.

- Communicate complex technical concepts and analysis results to non-technical stakeholders in a clear and understandable manner.

Data Governance and Quality Assurance :

- Ensure adherence to data governance policies and standards in data handling and analysis.

- Conduct quality assurance checks to validate data accuracy, completeness, and integrity.

Continuous Learning and Improvement :

- Stay updated with the latest advancements in PySpark and SQL technologies and methodologies.

- Continuously improve skills in data analysis, programming, and statistical techniques.

Problem Solving and Decision Making :

- Identify and solve complex data analysis problems using PySpark and SQL.

- Make data-driven decisions and provide actionable recommendations to support business objectives.

Project Management :

- Manage multiple data analysis projects simultaneously, ensuring timely delivery and quality outcomes.

- Prioritize tasks and allocate resources effectively to meet project deadlines.

Training and Mentorship :

- Provide guidance, training, and mentorship to junior data analysts on PySpark and SQL skills and best practices.
(ref:hirist.tech)

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