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Sr Data Analyst

Argyle Infotech

Sr Data Analyst (SQL + SAS)

This position may be offered to a candidate authorized to work in the US for his/her/their stated employer, without any restrictions which would prevent the candidate from working on the proposed assignment for the duration of the assignment period.

If you are a confident, poised, self-motivated, analytical thinker with strong communication skills and a passion for data, then this role is for you.

The Data Analytics Senior will be responsible for performing various tasks across the loan sourcing processes and systems with a focus on data to streamline knowledge across the end-to-end data lifecycle.

Key duties include:

  • data discovery
  • data lineage
  • data profiling
  • data flow management and process documentation
  • data requirements
  • operational reporting and analytics planning
  • meeting facilitation across multiple stakeholders

Your Impact

Cultivate and manage relationships across multiple departments, including Operations application or business process owners. Interact and communicate effectively with key Business and IT partners at all levels. Facilitate and prepare for meetings including creating agendas, develop meeting materials, scribe meeting minutes and outline action items and next steps. Lead, support and prioritize multiple concurrent efforts in various capacities. Continuously improve processes that streamline knowledge of data to understand impacts of change. Prepare for meetings by establishing a clear objective, confirming attendee participation and creating meeting materials ahead of the discussion. Clearly outline and guide other’s data analysis approach and assumptions to verify efforts satisfy the objective and meet deliverable timelines. Analyze, design, develop and execute tasks that meet the objective. Provide support to application owners to bring data expertise from IT into the business. Perform impact assessments and proposing issue resolution and process improvements. Ensure deliverables are completed on time with accurate information requiring limited oversight.

Qualifications

5+ years of experience in data analysis, business process modeling, data management or operations. College degree or equivalent experience; advanced studies/degree preferred. Understanding of Cloud technology (AWS) and data management (Data Lake, Datawarehouse). Ability to operate as a self-motivated, pro-active, and result-driven problem solver with Excellent analytical and communication skills. Ability to understand and analyze IT business processes and data architecture diagrams. Working knowledge of Microsoft Excel functions, SQL, JSON, XML, SAS, or Python. Preferred Skills

Knowledge and experience in the primary or secondary lending markets. Experience in project management, project consulting services and/or system development life cycle. Knowledge and experience in project methodologies and change management principals. Familiarity with system architecture and technical terminology. Keys to Success in this Role

Have the ability to tell ‘the story’ about the data and the end-to-end data lifecycle as it relates to customer impacts, including; data lineage, valid values, data transformations and downstream consumers within and across applications and services. Continuously learn while partnering with others to overcome obstacles. Demonstrate an ability to test and learn while taking calculated risks and managing expectations of how and when tasks will be completed. Demonstrate an ability to learn, share knowledge, lead and motivate others. Adept in working in a fast-paced, dynamic environment with diverse personalities. Understand the business and our customers. Have an attention to detail with an ability to clearly outline a task’s objective, approach and results.

Vacancy posted 2 days ago
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