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Sr. Business Intelligence Analyst job in San Diego at Guild Mortgage

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Sr. Business Intelligence Analyst at Guild Mortgage

Sr. Business Intelligence Analyst

Guild Mortgage San Diego, CA Full Time
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Position Summary

The Senior Business Intelligence (BI) Analyst is a key technical position and plays an important role in the organization by performing a number of activities related to the company’s Information Technology functions. The role is primarily responsible, under limited supervision, for executing the data strategy and analysis efforts within the company’s enterprise data platform by analyzing available data to determine market trends and patterns, highlight outliers and anomalies, correlate cause and effects and distribute actionable insights to all levels of the organization. Responsibilities include understanding business requirements, translating them into a set of Key Performance Indicators (KPIs) to be measured, capturing data to analyze the KPIs and producing dashboards and live reports to highlight patterns and trends in the KPIs.

Essential Functions

  • Partner with key stakeholders, including the business unit leaders, Product, Data & Technology teams, to deliver on their data and analytics needs by producing live dashboards and/or reporting across multiple delivery platforms on a periodic basis (daily, weekly or monthly).
  • Assess data that is readily available in the data marts and verify its accuracy for the business need.
  • Determine company-wide trends and patterns by analyzing curated data.
  • Call out outliers and anomalies in the data sets that point to process inefficiencies or transient opportunities.
  • Define a set of Key Performance Indicators (KPIs) for various business operations that support the business need for tracking marketing opportunities, process improvements and cost optimizations.
  • Analyze data to identify causal relations among data points and trend other correlations over time.
  • Ensure consistent delivery of high-quality insights to key stakeholders by reconciling and validating dashboards and reports in a timely manner.
  • Identify internal process improvements for automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Provide actionable insights using analytics tools into customer acquisition, operational efficiency and other key business performance metrics.
  • Maintain access controls to Dashboards and reports to ensure sensitive information is restricted on a need-to-know basis.
  • Identify and document the Business Continuity Plan/Disaster Recovery (BCP/DR), and technical requirements for high availability and recoverability for the analytics platform.
  • Contribute to the team of data professionals by using expertise to answer questions and sharing templates, reusable artifacts with less experienced teammates, enhancing skillsets and competencies of team members, and sharing business domain knowledge throughout the team.
  • Participate in stakeholder reviews, and design sessions.
  • Provide data, reports, and information to management as needed.
  • Identify, track, and monitor trends and avoidable technology-related errors; work across functions to develop complex solutions, improvements, and stop-gaps.
  • Focus on the continual improvement of policies, procedures, and processes falling under scope of authority.
  • Use expertise to resolve high level issues that cannot be solved by teammates.
  • Stay abreast of latest technology trends and participate in high-level decisions impacting the direction of Information Technology function.
  • Consistently monitor and model platform usage, database sizes, compute resources and third-party costs to ensure that the data team’s spend is as cost-efficient as possible.
  • Champion data transformation to new ways of working and generating insights.
  • Drive strong communications, partnerships, and stakeholder management with senior leaders, functional managers and staff.
  • Perform other duties as assigned.

Recommended Skills

Business Continuity Planning
Business Intelligence
Data Analysis
Information Technology
Key Performance Indicators
Software Development Life Cycle
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