Senior Analytics Engineer: Insurance Data Strategist

PT Asuransi Bina Dana Arta Tbk; Jakarta Utara; On-site; IDR 450,000,000 - 750,000,000; Full time

Job summary

PT Asuransi Bina Dana Arta Tbk seeks a Senior Analytics Engineer with deep expertise in Non-Life and Health Insurance to bridge business operations and data infrastructure. You will manage insurance data lifecycles, from policy underwriting to earned vs.

unearned premiums, and model data to support analytics. You will design robust data models, build ETL pipelines with SSIS, and translate complex insurance metrics into the data layer for reliable reporting.

Qualifications

• Bachelor Degree in Computer Science, Data Analytics, Actuarial Science, Finance or related quantitative field.
• Minimum 6 to 8 years of Insurance data experience or related field.
• Strong understanding of core insurance financials, policy lifecycles, and claims states.
• Advance proficiency in SSMS, SSIS, TSQL, TSQLT. Cloud is a plus.
• Proven ability to prioritize business context and data quality over pure engineering output.
• Fluent in English, both written and spoken.

Responsibilities

• Design and optimize robust, business-centric data models (Star and Snowflake schemas) within SSMS.
• Build, scale, and maintain ETL pipelines using SSIS and complex T-SQL stored procedures.
• Translate insurance metrics into the data layer (GWP, Net Earned Premium, Loss Ratios, Reserves).
• Solve complex insurance data problems (as-of reporting, retroactive adjustments).
• Collaborate with Actuaries, Underwriters, Claims Managers, and Finance to deliver analytical data products.

Skills

Data modeling

SQL

Data governance

Communication

English fluency

Education

Bachelor Degree in Computer Science, Data Analytics, Actuarial Science, Finance or related quantitative field

Tools

SSMS

SSIS

T-SQL

TSQLT

Cloud

Job description

PT Asuransi Bina Dana Arta Tbk seeks a Senior Analytics Engineer with deep expertise in Non-Life and Health Insurance to bridge business operations and data infrastructure. You will manage insurance data lifecycles, from policy underwriting to earned vs.

unearned premiums, and model data to support analytics. You will design robust data models, build ETL pipelines with SSIS, and translate complex insurance metrics into the data layer for reliable reporting.