Senior Data Analyst

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Senior Data Analyst

811 Excellence Dr., Bentonville, AR 72716

• Develop business cases for projects with a projected return on investment or cost savings.
• Translate business requirements into projects, activities, and tasks and align to overall business strategy and develop domain specific artifact.
• Serve as an interpreter and conduit to connect business needs with tangible solutions and results.
• Identify and recommend relevant business insights pertaining to their area of work.
• Support the understanding of the priority order of requirements and service level agreements.
• Help identify the most suitable source for data that is fit for purpose.
• Perform initial data quality checks on extracted data.
• Visualization guidelines and best practices for complex data types.
• Multiple data visualization tools (for example, Python, R libraries, GGplot, Matplotlib, Ploty, Tableau, PowerBI etc.).
• Advanced visualization techniques/tools.
• Multiple story plots and structures (OABCDE).
• Communication & influencing technique.
• Emotional intelligence.
• Generate appropriate graphical representations of data and model outcomes.
• Understand customer requirements to design appropriate data representation for multiple data sets.
• Work with User Experience designers and User Interface engineers as required to build front end applications.
• Present to and influence the team and business audience using the appropriate data visualization frameworks and convey clear messages through business and stakeholder understanding.
• Customize communication style based on stakeholder under guidance and leverages rational arguments.
• Profile, analyze, and assess data quality.
• Test and validate data quality requirements.
• Continuously measure and monitor data quality.
• Deliver against data quality service level agreements.
• Manage operational Data Quality Management procedures.
• Manage data quality issues and lead data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data.
• Determine user accessibility and remove or restrict user access as needed.
• Interpret company and regulatory policies on data.
• Educate others on data governance processes, practices, policies, and guidelines.
• Exploratory Data Analysis:
  Requires knowledge of relevant Knowledge Discovery in Data (KDD) tools, applications, or scripting languages such as SQL, Oracle, Apache Mahout, MS Excel, Python.
• Statistical techniques (for example, mean, mode, median, variance, standard deviation, correlation, and sorting and grouping).
• Research analysis standards and activities.
• Documentation procedures such as drafting, editing, Bibliography format.
• Relevant Knowledge Discovery in Data (KDD) tools, applications, or scripting languages such as SQL, DB, SAS, Oracle, Apache Mahout, MS Excel, Python.
• KDD industry best practices and emerging trends.
• To collect and tabulate data and evaluate results to determine accuracy, validity, and applicability.
• Support the identification and application of statistical techniques based on requirements.
• Apply suitable technique under direction from leadership.
• Assist in the planning, design and implementation of exploratory data analysis research projects.

Master’s degree or the equivalent in Business, Analytics, Engineering, Computer Science, or related field; OR…