Senior Data Analyst (Remote)

Jobsultant Solutions
Redmond, WA, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Microsoft Excel Big Data Databases Data Infrastructure Extract Transform Load (ETL) Data Systems Data Visualization Distributed Systems Document-Oriented Databases Metadata Microsoft Office Microsoft PowerPoint
+11 more
Cloud Services Microsoft SharePoint Tableau (Software) Teradata SQL Data Processing Sql Optimization Information Technology Qlikview Non-relational Database Data Management Data Pipelines

Job description

What you need to know about the role- Were seeking a highly motivated and talented Senior Data Analyst to join the Credit Data Platform team. As a Data Analyst, you will work with stakeholders to define state-of-the-art, large-scale data platforms, and assets Tools. Meet our team- Credit data platforms oversees implementing unique, best-of-breed data solutions using cutting-edge technologies and delivering data solutions that are highly available, scalable, and process data at a massive scale., This role will be responsible for supporting global stakeholder departments, working domain leads, and data citizens across different locations such as the Americas, EMEA, and the Asia Pacific because the position requires interaction with geographically disbursed teams, so the candidate must be a self-starter with strong leadership qualities, project/task management skills, analytical skills, and comfortable working with distributed teams.

Your day-to-day-

  • Collaborate closely with the engineering team and provide ongoing support to help implement end-user requirements
  • Ensure the consistency and quality of data solutions completed by the engineering team.
  • Work cross-functionally and cultivate strong partnerships with business stakeholders, business leads, subject matter experts, and technical staff to gather and develop business needs in technical requirements.
  • Identifying and refining current and future-state business processes by performing deep-dive analysis of the current state and proposing future state solutions effectively using clear and precise documentation
  • Firm understanding of business processes and data platforms to design/deliver scalable data solutions to support customer needs

Requirements

  • Bachelors degree in computer science or engineering discipline with a solid quantitative aptitude
  • 5+ years of experience as a Data Analyst
  • Work cross-functionally and cultivate strong partnerships with business stakeholders, business leads, subject matter experts, and technical staff to gather and develop business needs in technical requirements.
  • Identifying and refining current and future-state business processes by performing deep-dive analysis of the current state and proposing future state solutions effectively using clear and precise documentation
  • Motivation to understand business processes and data platforms to design/deliver scalable data solutions to support customer needs
  • Good understanding of database principles and hands-on experience in advanced SQL to perform complex analysis.
  • Expert knowledge of data modeling concepts; experience with data modeling and generating metadata to support relational & non-relational database implementations; experience building logical and physical data models.
  • Good understanding of distributed systems (Teradata, BiqQuery), data movement, and optimizing ETL processing of vast datasets with specified SLAs.
  • Knowledge of Big data environments and Cloud services (GCP) is a plus.
  • Prior knowledge of any analytical visualization tools like Tableau and QlikView is desirable.
  • Document data solutions for easy business consumption.
  • Strong communication skills, both written and verbal, and skilled at adjusting communication style/vocabulary to an audiences role/function and technical familiarity
  • Basic knowledge and understanding of financial services, especially the credit systems.
  • Proficient in Microsoft Office tools like Excel, PowerPoint, and SharePoint.

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