
Business Intelligence Specialist
2 weeks ago
About the Role :
This role will involve close collaboration with cross-functional business and technical teams to ensure robust, high-performance BI systems that meet both operational and strategic Responsibilities :
- Design and deliver interactive, visually compelling, and insightful dashboards using Power BI, Tableau, Qlik, Looker, or similar BI platforms.
- Enable self-service BI by developing reusable templates, drill-through capabilities, and user-friendly interfaces.- Build robust, scalable, and high-performance data models using star/snowflake schema designs.
- Maintain semantic layers and data definitions to ensure consistency across reports and users.
- Write, optimize, and maintain complex SQL queries and stored procedures for data extraction, transformation, and loading (ETL) across various structured and unstructured data sources.
- Collaborate with data engineering teams to design pipelines and ensure smooth data integration.
- Develop custom measures, KPIs, and calculated fields using DAX, MDX, or LookML, depending on the platform.
- Implement advanced analytics features such as predictive insights, trend analysis, and performance metrics tracking.
- Work closely with business stakeholders to understand key metrics, reporting requirements, and operational needs.
- Translate business needs into technical specifications and ensure timely and accurate report delivery.
- Lead BI initiatives and contribute to long-term data strategy and governance practices.
- Standardize reporting processes and promote data literacy across the organization.
- Ensure compliance with data security, privacy regulations, and internal Skills & Qualifications :
- 4+ years of experience in BI development and data analysis roles.
- Proficiency in one or more BI tools : Power BI, Tableau, Qlik, Looker, etc.
- Strong hands-on experience with SQL, stored procedures, and data transformation logic.
- Solid understanding of data modeling techniques, data warehousing concepts, and OLAP systems.
- Experience with cloud data platforms such as AWS (Redshift, Athena), Azure (Synapse, Data Factory), or GCP (BigQuery, Dataflow).
- Familiarity with ETL tools such as Talend, Informatica, SSIS, or dbt is a plus.
- Experience working with large datasets and performance optimization techniques.
- Strong communication and interpersonal skills to engage technical and non-technical stakeholders.
- Experience in Agile methodologies and working in cross-functional teams.
(ref:hirist.tech)-
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