Ness Digital Engineering

Business Analyst

Ness Digital Engineering

full-time

Posted on:

Location Type: Hybrid

Location: 🇺🇸 United States

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Salary

💰 $130,000 - $150,000 per year

Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftBigQueryCloudETLInformaticaKafkaMatillionNoSQLPulsar

About the role

  • Lead the Data Vision: 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 maximise value.
  • Create Transformational Solutions Design, deliver, and optimise 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.
  • Champion Governance & Trust 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.
  • Collaborate, Inspire, and Mentor 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.

Requirements

  • 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 operationalisation.
  • Exceptional communication skills with the ability to inspire, influence, and align diverse stakeholders.
Benefits
  • Impact that Matters: Your work will directly shape how we innovate, compete, and deliver value.
  • Innovation Every Day: Collaborate with a team that embraces experimentation, new technologies, and continuous improvement.
  • Inclusive Collaboration: Join a diverse, talented community that celebrates different perspectives and shared success.
  • Growth & Opportunity: Access to professional development, cutting-edge projects, and the freedom to bring bold ideas to life.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysiscloud-native data platformsdata modelingETL toolsELT toolsstreaming technologiesdata governanceAI lifecycle managementML lifecycle managementpredictive analytics
Soft skills
communicationinfluenceinspirealign stakeholdersmentoringcollaborationstrategic advisingchampioning best practicesfostering culturedata-driven thinking