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    Senior Data Analyst - Lewisville, United States - Everest Search Partners

    Everest Search Partners
    Everest Search Partners Lewisville, United States

    2 weeks ago

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    Description

    Job Description

    Job Description

    SUMMARY: Everest client seeks a Senior Data Analyst to work on their analytics team. This is a critical role responsible for extracting valuable insights from sales and operations data, facilitating informed decision-making and to enhance overall company performance. The ideal candidate will have a strong background in data analysis in retail and/ or e-commerce sales, and the ability to extract actionable strategies from data.

    Job Responsibilities

    • Develop and enhance data collection processes, document data definitions and catalog metadata requirements for enterprise BI and analytical applications.
    • Develop and maintain key performance indicators (KPIs) for sales and operational performance to support business initiatives, creating clear and compelling visualizations of data insights.
    • Identify trends, patterns, and anomalies in sales data, providing actionable insights for business optimization.
    • Apply advanced quantitative methods, data mining, modeling, and analytical tools to solve complex business problems.
    • Extract, clean, and analyze large datasets related to retail and e-commerce sales.
    • Gather end-user reporting and dashboard requirements.
    • Provide training, resolve questions, assess user needs, and recommend changes to data systems.
    • Apply typical data science techniques (classification, regression, optimization).
    • Utilize data exploration and analytical tools, advising business stakeholders.
    • Conduct research and analysis, applying strong critical and lateral thinking skills.
    • Translate data into actionable recommendations, actively solving ambiguous, unstructured problems.
    • Work within a cross-functional, team-driven structure to present and explain deliverables to non-technical stakeholders.
    • Build strong business partnerships to enhance enterprise utilization of data.
    • Share and implement best practices.
    • Mine/validate/cleanse data and provide ad hoc analysis upon request.

    Qualifications

    • Ability to work a HYBRID SCHEDULE: In office Monday-Thursday, remote on Friday.
    • Detail-oriented with a passion for accuracy in data analysis
    • Ambitious, innovative individual, not afraid of change and moving at a fast pace
    • Comprehensive understanding of best practices in Systems Analysis, Business Analysis, and Business Intelligence
    • Experience with large, complex data warehouse projects in retail environments, pulling data from multiple sources
    • Understanding of data modeling; ability to explain and interpret conceptual, logical, and physical models
    • Strong work ethic and excellent communication skills
    • Ability to work in an environment with multiple technology infrastructures
    • Must possess a continuous improvement mentality and is always looking for opportunities to drive improved efficiency and effectiveness in our operations
    • Ability to work independently while building strong relationships and maintaining rapport with business colleagues
    • Comfort with change and the ability to adapt easily to new systems
    • Proactive and self-motivated, with the ability to prioritize and manage multiple tasks
    • Personal qualities of integrity, credibility, and a commitment to the organization's mission

    Required Education and Experience

    • Bachelor's degree in Business, Statistics, Economics, Computer Science, or a quantitative field or Relevant Experience
    • 2+ years of experience in an analytical or strategic role
    • Experience with advanced ETL tools including Tableau Data Prep, PowerQuery, SQL Server Reporting Services and others
    • Experience working in cross-functional teams focused on various analytics areas (Business/Financial Analysis, Promotional Analytics, Customer Analytics, Pricing, Merchandising, Media Analytics, etc.)
    • Advanced knowledge and experience with big data ecosystems, relational databases, SQL, and business intelligence tools (Tableau or Power BI, etc.)
    • Experience developing analytic techniques such as forecasting, predictive modeling, segmentation analysis, simulation modeling, and data mining
    • Understanding and capabilities with Python, R scripting and other advanced data coding languages
    • Advanced skill with Excel and Microsoft Office
    • Netsuite experience preferred
    • Consumer packaged goods industry experience; retail experience a plus
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