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Senior Data Analyst

Senior Data Analyst

ValueMomentumhyderabad, telangana, in
26 days ago
Job description

Job Responsibilities

  • Utilize knowledge of insurance data models, specifically Guidewire and Duckcreek, to interpret and analyze complex data structures.
  • Collaborate with stakeholders to ensure data models align with business needs and analytical requirements.
  • Perform data cleansing and validation to ensure data accuracy, consistency, and completeness.
  • Implement data enrichment processes to enhance datasets, providing deeper insights and more reliable analyses.
  • Conduct thorough data profiling to assess data quality and identify potential issues affecting analysis.
  • Generate comprehensive reports on data characteristics, anomalies, and trends to inform data governance and strategy.
  • Utilize SQL, NoSQL, Neo 4J to query and manipulate databases, ensuring effective data retrieval and analysis.
  • Collaborate with database administrators to optimize database performance and support analytical needs.
  • Stay updated with industry trends, tools, and best practices in data analytics and insurance.
  • Participate in training and development initiatives to enhance technical skills and analytical methodologies.

Education, Technical Skills & Other Critical Requirement

  • 4-8 years of relevant experience in data analyses
  • Bachelor’s / Master’s degree in an information technology / computer science / Statistics / Economics or equivalent fields experience.
  • Proficiency in Guidewire and Duckcreek data models, including an understanding of insurance industry practices.
  • High level of accuracy and attention to detail in data analysis and reporting.
  • Strong skills in data cleaning techniques and enrichment methodologies.
  • Experience in designing and implementing Extract, Load, Transform (ELT) processes for data integration.
  • Familiarity with data profiling tools and techniques to assess data quality.
  • Familiarity with cloud-based data storage and processing solutions (e.g., AWS, Azure, Databricks, Snowflake)
  • Advanced SQL, NoSQL skills for querying and managing relational databases.
  • Strong verbal and written communication skills, with the ability to present findings to non-technical stakeholders.
  • Basic project management skills to manage timelines and deliverables effectively.
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