Levi Strauss

1 month ago

Senior Analyst - Global Finance Automation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Build and scale data products that connect Finance and Order Management across the full order lifecycle. Design scalable pipelines and data models for order tracking, revenue recognition, billing, and reconciliation, and optimize data platforms for accurate, timely, auditable reporting. Operationalize trusted KPIs through governance, lineage, and security standards, while enabling analytics via curated datasets and clear communication with technical and non-technical stakeholders.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Finance & Accounting

Seniority: Mid level

Key Responsibilities

•Design, develop, and maintain scalable data products and pipelines for finance and order management (order lifecycle tracking, revenue recognition, billing, and reconciliation).
•Partner with Finance, Order Management, and Engineering to translate processes (e.g., order-to-cash, invoicing) into robust data models and pipelines.
•Architect and optimize data platforms (data lakes, warehouses, streaming pipelines) to support accurate, timely, and auditable reporting.
•Build and operationalize data models and transformations to ensure consistency between order systems and financial systems, enabling trusted KPIs.
•Implement data governance, lineage, and security standards, enabling reconciliations, anomaly detection, and curated datasets for analytics and decision-making.

Pay and Benefits

Perks:Health InsurancePaid Leave

Key Requirements

•8+ years designing, building, and operating scalable data solutions that enable reliable business processes and data-driven decisions.
•Expertise in SQL for modeling data that supports financial reporting, order lifecycle tracking, and operational performance analysis.
•Hands-on experience with cloud-based data platforms, particularly Google Cloud Platform (e.g., BigQuery, Pub/Sub, Cloud Functions) or similar ecosystems.
•Experience with modern data warehousing (Snowflake, BigQuery, or Redshift) to build trusted business-facing data models.
•Proficiency with dbt to transform raw data into well-governed, reusable data products aligned to business definitions and KPIs.

Experience:8+ yearsData platformsData warehousingOrder managementFinance

Education:Bachelor's in Computer Science, Engineering, Statistics, Innovation Economics or a related field

Skills:CommunicationCollaboration

Tech Stack:SQLGoogle Cloud PlatformBigQueryPub/SubCloud FunctionsSnowflakeRedshiftDbtPythonJavaTableauPower BILookerData pipelinesData lakesData warehousesStreaming pipelinesData governanceData lineageSecurity standards

Company Brief

Levi Strauss

Designs, markets, and sells denim and casual apparel under the Levi's, Dockers, and related brands. The company operates globally through wholesale, retail, and direct-to-consumer channels.

Industry: Fashion & Apparel

Company Size: Enterprise (1,001+ employees)

Revenue: USD 5M to 10M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1853

Website LinkedIn

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Levi Strauss

1 month ago

Senior Analyst - Global Finance Automation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Finance & Accounting

Seniority: Mid level

Key Responsibilities

•Design, develop, and maintain scalable data products and pipelines for finance and order management (order lifecycle tracking, revenue recognition, billing, and reconciliation).
•Partner with Finance, Order Management, and Engineering to translate processes (e.g., order-to-cash, invoicing) into robust data models and pipelines.
•Architect and optimize data platforms (data lakes, warehouses, streaming pipelines) to support accurate, timely, and auditable reporting.
•Build and operationalize data models and transformations to ensure consistency between order systems and financial systems, enabling trusted KPIs.
•Implement data governance, lineage, and security standards, enabling reconciliations, anomaly detection, and curated datasets for analytics and decision-making.

Pay and Benefits

Perks:Health InsurancePaid Leave

Key Requirements

•8+ years designing, building, and operating scalable data solutions that enable reliable business processes and data-driven decisions.
•Expertise in SQL for modeling data that supports financial reporting, order lifecycle tracking, and operational performance analysis.
•Hands-on experience with cloud-based data platforms, particularly Google Cloud Platform (e.g., BigQuery, Pub/Sub, Cloud Functions) or similar ecosystems.
•Experience with modern data warehousing (Snowflake, BigQuery, or Redshift) to build trusted business-facing data models.
•Proficiency with dbt to transform raw data into well-governed, reusable data products aligned to business definitions and KPIs.

Experience:8+ yearsData platformsData warehousingOrder managementFinance

Education:Bachelor's in Computer Science, Engineering, Statistics, Innovation Economics or a related field

Skills:CommunicationCollaboration

Company Brief

Levi Strauss

Designs, markets, and sells denim and casual apparel under the Levi's, Dockers, and related brands. The company operates globally through wholesale, retail, and direct-to-consumer channels.

Industry: Fashion & Apparel

Company Size: Enterprise (1,001+ employees)

Revenue: USD 5M to 10M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1853

Website LinkedIn