Data Analyst - Level IV

A Data Analyst plays a crucial role in transforming raw data into meaningful insights that drive informed business decisions. This role involves collecting data from multiple sources, applying statistical techniques and data modeling, and presenting the results through intuitive dashboards and visualizations to key stakeholders. The ideal candidate will be skilled in managing large datasets, performing advanced analyses, and communicating findings effectively to support strategic initiatives.

Key Responsibilities

- Design and develop robust data pipelines and ETL workflows using Apache Airflow and Google Cloud Dataflow.
- Extract and analyze extensive datasets from relational databases such as BigQuery, Redshift, Oracle, and Teradata using SQL.
- Conduct data analysis leveraging Python and SQL, applying advanced statistical methods to uncover trends and insights.
- Create compelling data visualizations with tools like Tableau, Power BI, or R-Shiny to facilitate decision-making.
- Perform hypothesis testing and A/B testing to validate business assumptions and guide strategy.
- Utilize Git for version control to ensure collaborative and efficient development processes.
- Optimize complex database queries and develop views that integrate data across multiple tables.
- Communicate analytical findings clearly and effectively to business stakeholders, enabling data-driven decisions.

Required Qualifications

- Bachelor’s degree in a quantitative discipline such as Statistics, Computer Science, Data Science, or a related field.
- Minimum of 5 years of professional experience in data analysis.
- Strong proficiency in Python and SQL for data manipulation and analysis.
- Hands-on experience with Apache Airflow for orchestrating workflows.
- Familiarity with Google Cloud Dataflow and ETL process development.
- Experience working with relational databases including BigQuery, Redshift, Oracle, or Teradata.
- Skilled in data visualization tools such as Tableau, Power BI, or R-Shiny.
- Proficient in using Git for version control and collaborative coding.
- Solid understanding of statistical analysis techniques, including hypothesis testing.

Confiz Limited is home to a dynamic team of over 700 professionals engaged in cutting-edge enterprise projects and innovative product development. Our clientele includes Fortune 100 retail and consumer packaged goods companies, major retail chains, fast-growing fintech firms, and several Silicon Valley startups.

What distinguishes Confiz is our commitment to excellence in both processes and culture. We are certified under ISO 9001:2015 (Quality Management System), ISO 27001:2022 (Information Security Management System), ISO 20000-1:2018 (IT Service Management), and ISO 14001:2015 (Environmental Management System). Our vibrant workplace fosters continuous learning, collaboration, and a fun environment where employees thrive.

At Confiz, you will work with the latest technologies while contributing to the success of both the company and your own professional growth.