Note: The job is a remote job and is open to candidates in USA. Staffworxs is a digital and data analytics company that helps organizations drive growth, innovation, and transformation. The Data Analyst will lead enterprise data architecture strategy, design scalable data solutions and pipelines, embed governance and quality practices, and enable AI-driven analytics and business decision-making.
Responsibilities
- Shape and deliver an enterprise-wide data architecture strategy that fuels growth and innovation
- Define reference architectures, canonical data models, and integration patterns to create a consistent, reliable, and agile data foundation
- Curate and integrate cutting-edge modern data stack technologies to speed delivery and maximize value
- Design, deliver, and optimize data pipelines, APIs, and real-time streaming frameworks that power business-critical insights
- Embed data quality, lineage, and metadata management into every solution for trusted and transparent data
- Prepare and enrich enterprise data to unlock the potential of AI, ML, and predictive analytics
- Lead the rollout of data governance, compliance, and privacy frameworks that inspire confidence and meet global standards
- Partner with security and compliance teams to build safe, accessible, and well-managed data environments that enable innovation
- Act as a strategic advisor to executives, connecting technical architecture with measurable business outcomes
- Work hand-in-hand with cross-functional teams to embed data-driven thinking into every decision
- Mentor colleagues, champion best practices, and foster an inclusive, high-energy culture of data excellence
Skills
- Proven experience in data analysis
- Proven experience in financial industry
- Expertise in cloud-native data platforms (e.g., Snowflake, Databricks, BigQuery, Amazon Redshift)
- Advanced data modeling skills (conceptual, logical, physical) across relational, NoSQL, and event-driven systems
- Hands-on proficiency with ETL/ELT tools (e.g., dbt, Fivetran, Matillion) and streaming technologies (e.g., Kafka, Kinesis, Pulsar)
- Strong knowledge of data governance platforms (e.g., Collibra, Alation, Informatica) and industry best practices
- Understanding of AI/ML data lifecycle management and operationalization
- Exceptional communication skills with the ability to inspire, influence, and align diverse stakeholders
Benefits
- Remote work arrangement
- Access to professional development
- Cutting-edge projects
- Freedom to bring bold ideas to life
- Inclusive collaboration in a diverse, talented community
Company Overview
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