Analyst I, Analytics and Forensics, Audit Finance

  • Anywhere

Company :

Location :
Bentonville, Arkansas

Expiry Date :
Sun, 06 Dec 2020 23:59:59 GMT

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Description :
What You’ll Do Position Summary… – Leads small and participates in large data analytics project teams by serving as a technical lead for analytics projects; working with project teams and business partners to determine project goals; developing contingency plans for data analysis; determining modeling based on business needs; directing the analysis of data; gathering data and developing reports as needed; utilizing business knowledge to ensure data supports project goals; analyzing data based on identified variables; reviewing data results to ensure accuracy; and communicating results and insights to the project team and business partners. – Presents data insights and recommendations to key stakeholders by developing insights based on data analysis; applying analytical results to project goals; identifying trends and key insights; translating results into business actions; and presenting insights and recommendations to key stakeholders. – Assists in the continuous improvement of data science and analytics by researching industry best practices and staying up-to-date on analytical practices; evaluating and recommending vendor products and services; integrating third-party solutions into current processes; developing and recommending best practices for the retail industry; and mentoring peers and analysts across the division in analytical best practices. – Develops less complex analytical models to drive analytic insights by participating in the gathering of data; assessing data validity and usability; synthesizing data into datasets; ensuring data is applicable to project goals; developing less complex statistical models and algorithms to analyze data; coding, testing, and maintaining analytical software tools; identifying trends, patterns, and discrepancies in data; determining additional data needed to support insights; training statistical models for replication for future projects; translating results into actionable insights; and presenting results, insights and recommendations to key stakeholders. – Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. – Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. – Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices. Preferred Qualifications Experience using Power Bi, SQL, Tableau, Python. Minimum Qualifications… Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications: Bachelor’s degree in Information Technology, Computer Science, Business, or related field and 2 years’ experience in information technology, audit, analytics, economics or related field OR 4 years’ experience in information technology, accounting, analytics, economics, or related field OR Master’s degree in Information Technology, Computer Science, Business or related field. Preferred Qualifications… Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Analytics – Big Data, Data Analysis and Insights, Relational Database Management System (RDMS), Statistical Programming Language