Date: February 12, 2018

Warren Averett Staffing & Recruiting is seeking an entry level Business Intelligence Analyst for a growing client in the Huntsville, Alabama area. The ideal candidate would be a recent graduate with a Bachelor's Degree in Statistics or Marketing (or in graduate classes). Additionally, the ideal candidate will possess advanced computer skills in Excel and SQL database and intermediate programming skills.


  • Responsible for centralized data management, including cleansing, validation, analysis and migration.
  • Develop analytic solutions to produce timely, accurate, user-friendly and actionable information that can be understood by multiple audiences and immediately applied to answer key business questions.
  • Exhibit a wide range of technical knowledge including database, application development, agile project management scheduling, etc.
  • Define goals, objectives, strategies and standards for data cleansing/validation/ accuracy.
  • Develop data assets for advanced analytics that are reusable, agile and multi-purposed
  • Identify, analyze, cleanse, reformat, integrate, transform and structure data from internal and external sources.
  • Streamline and operationalize data assets into the business workflow
  • Apply descriptive analytics to analyze data and validate assumptions, understand and articulate results to a narrow audience.
  • Identify, select and extracts relevant data from various internal and external sources
  • Manipulates and monitors raw data sets into information fit for analysis independently.
  • Utilizes established best practices around descriptive analytics
  • Work with colleagues, partner organizations and clients in a collaborative and responsible manner, to understand issues from both business and technical perspectives and determine the best data analytics solutions
  • Independently determine which quantitative tools/approaches and data sources to use to address analytic questions, while selecting and designing tools that allow reuse of design components between projects and clients
  • Critically review analytic results and final work product and continually work to improve the quality and efficiency of work processes and products, including improving the validity of analytic results
  • To the extent possible and appropriate, automate processes to make future analysis more efficient
  • Monitor and anticipate industry and academic news to identify and apply trends and best practices
  • Develop and communicate goals, strategies, tactics, project plans, timelines and key performance metrics to reach goals.
  • Knowledge of data modeling
  • Knowledge of data mining and predictive modeling (e.g., regression, segmentation, machine learning, SEM, MCMC, Bayesian, boosting, cross-validation)
  • Knowledge of collaborative filtering and recommender systems
  • Knowledge of social network analysis and statistical text mining
  • Knowledge of event detection and tracking
  • Knowledge of cluster analysis, probabilistic modeling, anomaly detection.
  • Demonstrated ability to learn from mistakes, apply constructive feedback to improve performance, and share appropriate feedback with team members
  • Excellent analytical and problem solving skills – the ability to work on complex problems where analysis of situations requires an in-depth evaluation of various factors, anticipate the downstream impact of change on product design, identify key requirements, develop alternative solutions, and focus on small details and the big picture simultaneously


  • Bachelor’s Degree in STEM (Science, Technology, Engineering, or Mathematics.
  • Graduate students and Master's Degree is preferred.
  • Experience in Descriptive Analytics is preferred.
  • Advanced Computer Skills in Excel, SQL database languages, programming & Python, R, and statistical design.
  • Experience using a data visualization software such as PowerBI or Tableau would be a plus.
  • Strong interpersonal skills to work as part of a team.
  • Willingness to be open to learning, mentoring, and growing.

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