Sapiens Careers 2026 : Hiring Tech Gradutes For Data Science & Power BI Developer Job Role
About CompnayÂ
Sapiens International Corporation is a leading global provider of software solutions for the insurance industry, with a growing presence in the financial services sector. We offer integrated core software solutions and business services, and a full digital suite for the property. Our portfolio includes policy administration, billing, and claims; underwriting, illustration and electronic application; reinsurance and decision management software. Sapiens’ digital platform features customer and agent portals, and a business intelligence platform. With a 40-year track record of delivering to more than 700+ organizations, Sapiens’ team of over 5,400+ employees operates through our fully-owned subsidiaries in North America, the United Kingdom, EMEA, and Asia Pacific.
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Sapiens Careers 2024 : Data Science & Power BI Developer
| Job ID | 53351 |
| Job Role | Data Analyst / Power BI |
| Education Qualifications | BE/B.Tech or Other Tech Degree |
| Salary Package | 4 to 12 LPA or as per company standards |
| Last apply date | ASAP |
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ResponsibilityÂ
- Responsible for Design, development, testing, implementation and maintenance of Reports and Dashboards on Microsoft Tool stack/Power BI
- Building Power BI Models based on different modelling designs like Snowflake, Star and Relational data models.
- Suggest and implement secure and suitable connectivity to required sources of data from Microsoft Tool stack/Power BI
- Should be capable to guide team of developers across multiple projects and tools
- Discuss with Business users to define and document new or enhanced reporting and dashboarding requirements.
- Translate business requirements into functional and technical specification documents that can be used for development
- Liase with Business Users and Architects to Plan and schedule new Data solution projects, including software upgrades and performance optimization.
- Support all activities in the area of data quality, data cleansing and data governance
- Provide training and assistance to business users on the tools used in delivering the solution (including reports and dashboards).
- Ensure proper configuration management and change controls implemented in your sphere of influence
- Establish quality metrics and ensure its implementation.
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RequirementsÂ
- Must have ability to solution and resolve complex modelling issues in Power BI with minimal support.
- Must have ability to code complex SQL, MDX and DAX queries and extensive experience in SQL performance tuning and debugging
- Must have extensive experience in creating complex models and creative visualizations for impactful dashboards in a way to drive better and informed decisions.
- Experience in Power Query, M, R, Python is strong advantage
- Hands-on experience in Information Retrieval and DWH Architecture
- Experience in Data Analysis, Data Modelling and Data Mart design
- Good understanding and familiarity of ETL Tools and Technologies (SSIS, Informatica, DataStage, Talend etc.,) is added advantage
- Very good understanding of BI and Analytics and Best practices followed
- Familiarity of all or any of Cloud Technologies (AWS, Azure, GCP etc.,)
- Experience on Azure Stack (Data Factory, Logic Apps, Azure SQL DBs, blob storage, Azure Tables, etc.) is a Strong Advantage
- Must have working experience of APIs and webservices
- Familiarity with the Power Platform tools & MS365/SharePoint/Teams are nice to have
- Should have Stakeholder Management experience and good estimation skills
- Ability to work with minimal guidance or supervision in a time critical environment.
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Key Skills
- Advanced SQL skills for querying and creation of views/tables, functions and stored procedures
- Experience with DAX and M language.
- Advanced SharePoint experience
- Affinity with data warehousing / data lake strategies and theories and Ability to handle and explore complex data sets.
- Ability to explore and perform data analysis and identify trends.
- Basic statistics knowledge is crucial for statistical analysis.
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