Senior Data Analyst (Remote)

Jobsultant Solutions; Redmond (WA); Remote; Full time

Job summary

A prominent technology organization is seeking a motivated Senior Data Analyst to join the Credit Data Platform team. In this remote role, you will collaborate with global stakeholders and the engineering team to deliver scalable data solutions. The ideal candidate has a Bachelor's degree in computer science or engineering, 5+ years of data analysis experience, and strong SQL skills. Excellent communication abilities and a solid understanding of business processes are essential. Join us to make an impactful contribution in a dynamic environment.

Qualifications

• 5+ years of experience as a Data Analyst.
• Strong communication skills, both written and verbal.
• Good understanding of database principles and advanced SQL.

Responsibilities

• Collaborate closely with the engineering team.
• Ensure the quality of data solutions.
• Work cross-functionally with business stakeholders.

Skills

Data analysis

Communication skills

Project management

SQL

Data modeling

Data visualization tools

Education

Bachelor's degree in computer science or engineering

Tools

Tableau

QlikView

Microsoft Excel

Microsoft PowerPoint

Microsoft SharePoint

Job description

About the job Senior Data Analyst (Remote)

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.

Job Description

You way to impact

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

What Do You Need To Bring

• 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.