Snowflake Business & Data Analyst

Snowflake Business & Data Analyst (Mid-Level, 49 years) Location :Indore (Hybrid) Employment Type : Full-time Bachelor's or Master's degree in a quantitative field of Engineering or equivalent experience. About the Role We're looking for a Snowflake Business & Data Analyst who can translate business questions into data-driven insights and build scalable, high-quality analytics on Snowflake/Teradata platform. You'll partner with business stakeholders, Development, and BI teams to design data models, optimize performance and produce reliable reporting that drives decision-making. Key Responsibilities Stakeholder Enablement & Insights Engage with business users to understand objectives, define KPIs, and translate needs into analytical solutions and clear requirements Deliver ad-hoc analyses and presentations with clear narratives, visuals, and recommendations. Data Modeling & ELT in Snowflake Design conformed, analytics-ready models (star/snowflake schemas, data vault where applicable). Write robust SQL and develop/maintain ELT pipelines Azure Data Factory or relevant) Implement data quality checks (constraints, tests, anomaly detection) and document lineage/definitions. Performance, Governance & Cost Engage with Infra and development team on defining and tracking best practices on role-based access control (RBAC), data masking, and row-level security Partner with platform teams to monitor spend and usage (e.g., credits, storage, compute) and drive efficiency. Data Operations Support incident triage and RCA for data issues; Maintain metadata, dictionaries, improve processes through automation and standards. Required Qualifications (49 years total experience) Strong SQL expertise Hands-on Snowflake: warehouses, databases/schemas, roles, stages, file formats, tasks/streams, time travel, cloning Experience with BI tools (Power BI / Cognos etc) and building metrics/KPIs. Solid understanding of data modeling (dimensional modeling, fact/dimension design) and ELT patterns. Experience working with large datasets, complex joins, and optimization. Ability to translate business problems into analytical approaches and communicate insights clearly. Nice-to-Have (Preferred) dbt (models, tests, docs, sources, exposures) and CI/CD for analytics cod Python for data wrangling and automation (pandas, Snowflake Connector) Experience with orchestration (ADF) and version control (Git) Cloud ecosystem exposure (Azure) and data lake formats (Parquet/Delta/Iceberg) Data governance tools/processes (catalog, lineage, PII handling, GDPR/DPDP compliance). Domain experience Transportation / Logistics Certifications: SnowPro Core/Advanced, relevant BI or cloud certifications. Core Competencies Business Partnering: requirements elicitation, stakeholder management, expectation setting Analytical Thinking: hypothesis-driven analysis, experimentation, and measurement Communication: clear storytelling with data (visuals + narrative + action) Ownership & Quality: documentation, testing, reproducibility, and RCA discipline Collaboration: works effectively with data engineers, product managers, and domain SMEs. .