Business Analyst 2

Living Spaces FurnitureLa Mirada, CA
$74,000 - $98,800

About The Position

The Retail Business Analyst 2 will play a critical role in driving relevant and actionable business initiatives for Living Spaces. This position will be responsible for designing, testing, and maintaining data integration, transformation, and quality processes, ensuring efficient use of data across teams and platforms. By leveraging data insights, the Business Analyst will contribute to elevating Retail Operations' proficiency and efficiency. Collaborating closely with the Retail Analytics Manager, they will devise an effective strategy for data collection, analysis, and reporting to support the business needs. Position Description Essential Duties and Responsibilities include the following. Other duties may be assigned. Architect, build, and launch intuitive data models that provide actionable insights for stakeholders across Living Spaces. Determine the optimal data architecture to ensure seamless data integration, distribution, and analysis for Living Spaces' business data domains. Work across multiple teams in high-visibility roles, taking ownership of solutions end-to-end. Organize, mine, and analyze massive structured and unstructured data sets to identify trends, patterns, and insights that aid critical decision-making for Living Spaces. Develop and optimize the business metrics data layer for scalability, reliability, and resilience. Act as a thought-leader in analytics and data science, particularly in entity resolution concerning Living Spaces' business goals. Explore data in an unstructured environment and uncover meaningful trends that drive business value for Living Spaces. Generate and maintain a variety of reports and formats (spreadsheets, tables, charts, graphs, dashboards, etc.) and create ad hoc reports as required. Manage the data used for efficient scheduling through Reflexis, including loading correct Reflexis drivers and setting up new store Reflexis accounts. Validate workload management and alignment to payroll budgets and revenue. Mine data by importing, cleaning, transforming, and validating data from various sources (e.g., Excel, Tableau, Alteryx, and other statistical tools). Create additional data collection methods as needed, including the use of Office 365. Analyze, forecast, and model data to reveal business needs and make informed decisions. Craft and deliver compelling, easily digestible data presentations. Support implementation in store operations to assist stores in meeting KPI goals. Build effective partnerships with other departments, including Retail Support Team, IT, Logistics, Marketing, E-commerce, Guest Services, and Purchasing.

Requirements

  • Bachelor's degree (B. A. or B. S.) or equivalent from four-year college in business, retail management, data science, math, or related field preferred.
  • Minimum 4 years’ experience in designing innovative data solutions for business analytics.
  • Proven experience in managing data projects from end to end.
  • Experience with BI and dashboarding/reporting tools, including Tableau, Alteryx, etc.
  • Equivalent combination of education and experience will be considered.
  • To perform this job successfully, an individual must be proficient in Microsoft Office including Word and PowerPoint.
  • Advanced knowledge of Excel, data tools, data warehouse (e.g. Alteryx and Tableau), and coding skills, including SQL, Python, and R.

Nice To Haves

  • Alteryx and Tableau certifications preferred.

Responsibilities

  • Architect, build, and launch intuitive data models that provide actionable insights for stakeholders across Living Spaces.
  • Determine the optimal data architecture to ensure seamless data integration, distribution, and analysis for Living Spaces' business data domains.
  • Work across multiple teams in high-visibility roles, taking ownership of solutions end-to-end.
  • Organize, mine, and analyze massive structured and unstructured data sets to identify trends, patterns, and insights that aid critical decision-making for Living Spaces.
  • Develop and optimize the business metrics data layer for scalability, reliability, and resilience.
  • Act as a thought-leader in analytics and data science, particularly in entity resolution concerning Living Spaces' business goals.
  • Explore data in an unstructured environment and uncover meaningful trends that drive business value for Living Spaces.
  • Generate and maintain a variety of reports and formats (spreadsheets, tables, charts, graphs, dashboards, etc.) and create ad hoc reports as required.
  • Manage the data used for efficient scheduling through Reflexis, including loading correct Reflexis drivers and setting up new store Reflexis accounts.
  • Validate workload management and alignment to payroll budgets and revenue.
  • Mine data by importing, cleaning, transforming, and validating data from various sources (e.g., Excel, Tableau, Alteryx, and other statistical tools).
  • Create additional data collection methods as needed, including the use of Office 365.
  • Analyze, forecast, and model data to reveal business needs and make informed decisions.
  • Craft and deliver compelling, easily digestible data presentations.
  • Support implementation in store operations to assist stores in meeting KPI goals.
  • Build effective partnerships with other departments, including Retail Support Team, IT, Logistics, Marketing, E-commerce, Guest Services, and Purchasing.

Benefits

  • Medical (full-time only)
  • Dental (full-time only)
  • Vision (full-time only)
  • 401(k) with Company match (full and part-time)
  • Vacation (full-time only or as otherwise required by applicable law)
  • Paid Sick Leave (full and part-time)
  • Flex or Health Spending Account (for eligible full-time only)
  • Employee Assistance Program (full and part-time)
  • Holiday pay (full-time only)
  • Life insurance (full-time only)
  • Retail, Guest Services and Distribution Center Team Members are eligible to receive team bonus based on meeting specific goals and KPI's.
  • Overtime pay is available for eligible, non-exempt Team Members.
  • Reimbursement for expenses as required by applicable law and Company policy.
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