Data Analyst

3 weeks ago

Bengaluru, Karnataka, India TECHNODYSIS PRIVATE LIMITED 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).

(ref:hirist.tech)

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