Business Analyst

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Business Analyst

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ness Digital Engineering

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

💼 Consulting

🤝 B2B

🤖 Artificial Intelligence

Consulting • B2B • Artificial Intelligence

Ness Digital Engineering is a global digital engineering and technology services firm that helps enterprises modernize, build, and operate cloud-native platforms, data and AI solutions, and software products. With 25+ years of engineering experience, a consulting-led delivery model, and an AI-powered engineering platform (ATONIS), Ness focuses on outcomes such as faster release cycles, reduced manual effort, and automated enterprise workflows. It partners with cloud and data providers (AWS, Azure, Google Cloud, Snowflake, Databricks, Confluent, Salesforce) and serves industries including financial services, manufacturing & transportation, media & entertainment, retail, private equity, and healthcare.

📋 Description

• Shape and deliver an enterprise-wide data architecture strategy • Define reference architectures, canonical data models, and integration patterns • Curate and integrate modern data stack technologies • Design, deliver, and optimise data pipelines, APIs, and real-time streaming frameworks • Embed data quality, lineage, and metadata management into solutions • Prepare and enrich enterprise data for AI, ML, and predictive analytics • Lead data governance, compliance, and privacy framework rollout • Partner with security and compliance teams to build safe, accessible, well-managed data environments • Advise executives by connecting technical architecture with measurable business outcomes • Collaborate with cross-functional teams to embed data-driven decision-making • Mentor colleagues, champion best practices, and foster a culture of data excellence

🎯 Requirements

• Proven experience in data analysis • Proven experience in the financial industry • Expertise in cloud-native data platforms, such as Snowflake, Databricks, BigQuery, and Amazon Redshift • Advanced data modeling skills across relational, NoSQL, and event-driven systems • Hands-on proficiency with ETL/ELT tools, such as dbt, Fivetran, and Matillion • Experience with streaming technologies, such as Kafka, Kinesis, and Pulsar • Strong knowledge of data governance platforms, such as Collibra, Alation, and Informatica • Understanding of AI/ML data lifecycle management and operationalisation • Exceptional communication skills with the ability to inspire, influence, and align diverse stakeholders

🏖️ Benefits

• Professional development opportunities • Cutting-edge projects • Opportunity to collaborate with forward-thinking partners around the globe • Exciting and challenging projects across diverse industries • Career progression opportunities through collaboration with highly skilled professionals • Inclusive collaboration in a diverse, talented community • Freedom to bring bold ideas to life • Innovation, experimentation, and continuous improvement culture