Business Data Analyst proficient in data analysis, mapping, and transformations for large - scale data applications. Collaborating with technical and business teams in the insurance sector.
About the role
- Senior Data Analyst at Anomali transforming data into insights for strategic decisions. Involves data analysis, model development, and stakeholder communication in a hybrid role.
Responsibilities
- Collect, process, and analyze large datasets to identify meaningful patterns, trends, and relationships.
- Lead complex data analysis projects, develop machine learning models, and provide strategic recommendations that drive business decisions.
- Design, develop and implement advanced analytics frameworks, data collection systems, and reporting infrastructure across the organization.
- Mentor and provide guidance to junior analysts, establish analytical best practices, and lead knowledge-sharing initiatives.
- Develop automated data pipelines and workflows to improve efficiency and ensure data accuracy and integrity.
- Work closely with management and diverse stakeholders to prioritize business and information needs, as well as, identify opportunities for growth, optimization and risk mitigation.
- Define and lead new process improvement opportunities.
- Translate business requirements into technical specifications and deliver actionable insights through comprehensive analysis.
- Communicate analysis and findings to stakeholders through clear and engaging reports and visualizations.
Requirements
- Bachelor's/Master’s degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or related field.
- 3+ years of proven working experience as a Data Analyst or Business Intelligence.
- Strong knowledge of and advanced proficiency with SQL, reporting and visualization platforms (Tableau, PowerBI, Looker) databases and querying (SQL, etc.), and programming (Python, R, etc).
- Knowledge of and proficiency with statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.).
- Deep expertise in statistical modeling, predictive analytics, data mining, and working with large, complex datasets.
- Experience with ETL processes, data governance, and cloud platforms (AWS/Azure/GCP)
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- This position is not eligible for employment visa sponsorship. The successful candidate must be able to work freely at our Belfast location.
- Any cybersecurity knowledge is a plus.
Benefits
- Competitive Salary
- Medical
- Private Healthcare Plan
- Dental Plan
- Optical Plan
- Paid Public Holidays
- Accrued Paid Time Off – 25 days
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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