Business Analyst - Plano, United States - Talascend

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    Description
    Talascend is seeking a professional, skilled individual for our Business Analyst position located in Plano, TX


    Position Overview:
    The Senior Analyst, Advanced Analytics will report to the Sr. Manager Retail Performance Analytics and conduct quantitative and qualitative analysis to synthesize trends into actionable business insights and recommendations.

    They need to develop advance data mining and forecasting models to support channel-centric and geography-based sales performance indicators for the multiple product lines.

    The role requires extracting conceptual and advanced insights from large and diversified datasets to drive sales and business growth.


    Main responsibilities include the following:
    Apply expertise in quantitative and qualitative analysis to synthesize trends into actionable insights Timely delivery of deep-dive analyses
    • Customer Segmentation, Product Mix, A/B Testing Source, combine, and synthesize large amounts of data from various data sources.
    Work cross-functionally to identify current organization gaps and emerging trends and recommend solutions based on qualitative analyses and market insights.


    Conduct Industry analysis:
    Analyze trends, patterns, early warnings, and forecasts.

    Utilize syndicated and other sources for periodical Retail industry assessment Collaborate with the peer Data Science teams in developing and maintaining predictive forecasting models.

    Effective visualization for users to interact with the forecasting model Recommend strategic action plans for retail to drive sales across all product categories.

    Presentation skills in being able to tell the story behind the numbers. Maintain data quality and implement data governance measures on databases.

    Establish and maintain regular automated reporting that analyzes data from multiple sources to provide insights into the performance of the mobile business leveraging Tableau and other data visual tools.


    Background/Experience Required:

    Bachelors degree in Business, Analytics, Data Science, Statistics, Mathematics, or similar field of study (Masters Degree preferred) 4+ years of work experience in Retail Performance analytics and Data analytics Advanced Excel, Power Point and R skills; intermediate skills with Tableau, Python, Alteryx, SQL Ability to source, combine and synthesize large amounts of data from various sources to complete statistical modeling, A/B testing, cluster analysis, sample size calculations and tests of significance.

    Experience in creating custom reporting on an ad hoc basis Excellent oral and written communication skills, with demonstrated experience building and delivering presentations.

    Collaboration within Retail teams is a priority for this role.

    Capability to thrive in dynamic, fast-changing environment that requires a high degree of multi-tasking with minimal supervision Top skills: Quantitative analysis, Report Development, PresentationWe thank all applicants for their interest.

    However, only those qualified individuals who closely meet the qualifications of the position will be contacted. The details of the position are only a summary, other duties may be assigned as necessary. Background Check and Drug Screen may be required.