Data Analyst

1 week ago

Bengaluru, Karnataka, India Technodysis Full time

Job Title: Data Solutions Analyst

Experience: 4 to 6 years only (This position is mid senior role)

Work Location: Bangalore, Bellandur – WFO – All 5 days

Notice Period: Only Immediate to 15 days

Final Round of interview is Face to Face discussion in Bangalore

The Position:

As a Data Solutions Analyst, you will play a crucial role in turning complex data into actionable insights for the Surplus & Specialty Team by designing and developing data solutions. The ideal candidate should have a strong background in data analysis, SQL, and Snowflake.

Key Responsibilities:

  • Performing and documenting data analysis, data validation, and data mapping/design.
  • Conceptualizing and implementing ETL processes within Snowflake using Procedures, Tasks, Dynamic Tables, etc.
  • Supporting Data Analysts with building high performing queries to be used for reporting.
  • Working with other departments to provide data solutions (Data Marts, Ad Hoc Queries, etc.) that meet user requirements.
  • Conducting unit tests and developing database queries to analyze the effects and troubleshoot any issues.
  • Communicating with all levels of the organization to design and develop data solutions
  • Utilizing JIRA to track and manage the progress of tasks, ensuring timely completion and adherence to weekly sprints.

Required Knowledge and Skills:

  • Bachelors in mathematics, computer science, information systems, or related field.
  • At least 3 years of extensive work experience with relational databases (SQL Server, PostgreSQL, DB2, etc.).
  • Experience developing solutions (procedures, functions, views, ETL processes, etc.) using complex SQL concepts.
  • Experience developing queries, procedures, functions, and tasks with Snowflake
  • Knowledge of techniques used for query efficiency (Time & Cost).
  • Excellent verbal and written communication skills to effectively convey data insights and collaborate with stakeholders
  • Preferred skillset:
  • Insurance industry knowledge
  • Experience with data manipulation tools (e.g. Python, R)

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