Varite India
Location
Bangalore | India
Job description
About the job :Company Name : VARITE India Private LimitedAbout 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 SkillsTechnology :- 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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