Business Intelligence Analyst - SQL/Python

The Business Intelligence Analyst : The Business Intelligence Analyst is responsible for transforming data into actionable insights that drive business decisions. Using their skills, knowledge, and experience, the Analyst will evaluate business problems, design and develop data-driven solutions, formulate strategic recommendations, and communicate findings effectively to stakeholders. This analysis requires a strong foundation in data gathering, cleansing, analysis, and reporting, with a focus on leveraging business intelligence tools and technologies to accomplish this objective. Within Supply Chain, the Business Intelligence Analyst sits in the Discipline Management group, ensuring efficient and effective execution of work output in support of the Product Management teams objectives. What you will do : - Assist with the development, delivery, and sustainment of interactive reports, dashboards, and visualization solutions which communicate key performance indicators (KPIs) and other metrics to stakeholders. - Perform requirements definition and translation into data-driven solutions and support development, testing, analysis, and ad-hoc reporting as requested. - Gather, cleanse, and analyze data from various sources to enable improved analytics and insight generation. - Manage data model updates to support business analysis and decision-making. - Identify trends, patterns, and anomalies in data to help predict future outcomes, inform strategic choices, and improve decision-making. - Maintain documentation for data processes, models, reports, and analytics to ensure clarity, consistency, and sustained cost-effective stewardship of delivered solutions. Required Experience : - 4-8 years. Data Warehousing and ETL/ELT Concepts : - ETL/ELT Tools (Conceptual understanding & hands-on experience): While not always hands-on coding, a strong understanding of how data moves from source systems to data warehouses/lakes is crucial. Experience with tools like : - Talend, Informatica, SSIS (SQL Server Integration Services) (for traditional ETL). dbt (data build tool): Increasingly popular for transforming data in the warehouse (ELT approach). Cloud Data Warehouses: Familiarity with modern cloud data warehousing solutions : - Snowflake - Google BigQuery - Amazon Redshift - Azure Synapse Analytics - Scripting and Programming (for data : Highly preferred for data analysis, scripting, automation, and basic data manipulation. Key libraries include: (ref:hirist.tech)

Location: in, IN

Posted Date: 6/4/2025