Technical Data Analyst

Clearwater Analytics; Dadri; On-site; INR 900,000 - 1,350,000; Full time

Job summary

Clearwater Analytics is looking for a Technical Data Analyst to manage investment data, build data pipelines, and perform advanced analysis. You will present insights with modern visualization tools and collaborate with clients and project teams to align data with requirements.

The role emphasizes data integration, quality improvement, and scalable analytics across diverse data sources, leveraging cloud and big data technologies.

Qualifications

• Bachelor's degree in data analytics, statistics, accounting, CS, or related.
• 5+ years of data analytics, reporting and visualization experience.
• Hands-on experience with SQL and NoSQL databases.
• Experience with data integration and ETL/ELT processes.
• Experience with data visualization tools such as Tableau, Power BI, or D3.js.

Responsibilities

• Analyze and organize raw data, building data systems and pipelines.
• Perform complex data analysis and deliver insightful reports.
• Create data visualizations to present findings clearly.
• Integrate data from multiple sources and ensure quality.
• Collaborate with clients and project teams to meet requirements.
• Improve data quality and reliability continuously.
• Develop analytical tools to enable data-driven decisions.
• Work with system architects and product teams to foster innovation.

Skills

Investment data

Cloud platforms

Data governance

Programming languages

Data manipulation

Data quality

Cross-functional collaboration

Documentation

Problem solving

Education

Bachelor's degree in data analytics or related field

5+ years data analytics experience

Tools

SQL databases

NoSQL databases

Tableau

Power BI

D3.js

Job description

Job Summary:

The Technical Data Analyst is responsible for maintaining investment data for clients. This role involves tasks such as analyzing and organizing raw data, building data systems and pipelines, conducting complex data analysis, and presenting information through data visualization techniques. Additionally, the analyst collaborates with clients and project management teams to grasp customer and company needs. This role requires the ability to merge data from various sources and present it in alignment with customer/company requirements, while also striving to improve data quality and reliability.

Responsibilities:

• Utilize your analytical expertise to decipher and organize raw data, transforming it into valuable insights.
• Build efficient and robust data systems and pipelines, ensuring seamless data flow.
• Dive into complex data sets, conducting thorough analysis and delivering insightful reports on outcomes.
• Showcase your findings using cutting-edge data visualization techniques, making data come to life.
• Harness the power of multiple data sources, combining raw information into comprehensive and actionable insights.
• Continuously explore innovative methods to improve data quality and reliability, contributing to the highest standards.
• Develop and implement analytical tools and programs that empower teams to make data-driven decisions.
• Collaborate closely with system architects and product development teams, fostering an environment of innovation and excellence.

Required Skills:

• Deep understanding of investment data.
• Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure).
• Understanding of database design and data warehouse principles.
• Knowledge of one or more programming languages ( e.g. Java, Python, VBA).
• Proficiency in data manipulation and data cleansing techniques.
• Knowledge of data governance and best practices in data management.
• Continuous improvement mindset for self and team.
• Ability to work collaboratively in a cross-functional team environment.
• Ability to work with large datasets and perform data mining tasks.
• Strong computer skills, including proficiency in Microsoft Office.
• Excellent attention to detail and strong documentation skills.
• Outstanding verbal and written communication skills.
• Strong organizational and interpersonal skills.
• Exceptional problem-solving abilities.

Education and Experience:

• Bachelor s degree in data analytics, statistics, accounting, computer science, or related discipline.
• 5+ years of relevant experience in data analytics, reporting, and visualization.
• Hands-on experience with SQL and NoSQL databases.
• Experience with data integration and exchange, transfer, load processes.
• Experience with data visualization tools such as Tableau, Power BI, or D3.js.