Data Analyst

🕒 October 8

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.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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Infinite Tek Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏢 Enterprise

🤖 Artificial Intelligence

Consulting • Enterprise • Artificial Intelligence

Infinite Tek Inc. is a US- and India-based technology consultancy that helps enterprises turn AI, Salesforce and data engineering initiatives into measurable business value. The company offers strategy, architecture, implementation and production services across Enterprise AI (AI agents, intelligent automation, enterprise knowledge, document intelligence, governed AI solutions), Salesforce (Service Cloud, Sales Cloud, Data Cloud, Agentforce and connected AI experiences) and Data Engineering (trusted, scalable data platforms and pipelines). Infinite Tek operates with a global delivery footprint (San Ramon, CA and Bengaluru, India), emphasizes business-problem-first engagements, and traces operating roots to 2009 with formal establishment as Infinite Tek Inc. in 2024.

📋 Description

• Design and implement data pipelines for aggregating and processing sensitive banking data • Write complex SQL queries and stored procedures to extract, transform, and load data from various sources • Collaborate with data scientists, analysts, compliance officers, and compliance teams to ensure data quality and regulatory alignment • Implement data governance practices, including data lineage tracking and metadata management • Design and maintain data models for reporting and analytics • Automate data quality checks and monitoring processes • Participate in cross-functional meetings to translate business requirements into technical solutions • Ensure data solutions meet the needs of various departments and business stakeholders

🎯 Requirements

• Banking domain experience is mandatory • Strong foundation in SQL, including basic to advanced SQL and Lag-Lead functions • Deep understanding of banking regulatory requirements, including Basel, BCBS, and PSD2 • Experience with data governance, including Collibra, data profiling, data modelling, and data visualization • Data warehouse expertise • Experience designing, developing, and maintaining scalable data pipelines and systems • Understanding of data accuracy, integrity, quality, lineage tracking, and metadata management • Ability to solve business problems related to banking customers in non-technical scenarios • Excellent problem-solving skills • Ability to thrive in fast-paced environments, adapt to changing priorities, and deliver high-quality results under tight deadlines

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