Senior Data Analyst – Analytics

  • Full Time
  • Anywhere

Website Be The Match/National Marrow Donor Program

Be The Match is looking for a Senior Data Analyst to join our Business Analytics team. This role will report to the Manager, Business Analytics and will be instrumental in supporting the organization to achieve its five-year strategy. If you have ever desired to be part of a truly mission driven organization – now is the time!

As a Senior Data Analyst, this individual will have strong analytical skills to decipher and comprehend data and provide meaningful insights for clients ranging over a wide array of initiatives. Key responsibilities will include measurement and reporting, generating insights, developing strategy, and communicating findings. The individual will collaborate closely with key stakeholders across our full value chain to identify opportunities, assess business performance and provide actionable recommendations that drive future business planning.

This individual will have tremendous passion for data and leveraging it to create material value for the organization. He/she is someone who is bound to lead with a high-performance caliber mindset – delivering extraordinary results. This person will be comfortable challenging the status quo, bringing forward innovative ideas and fostering a continuous improvement culture.


  • Interpret data, analyze results using statistical and analytical techniques, and provide ongoing insights
  • Identify, analyze, and interpret trends or patterns in our data using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining
  • Manage ad-hoc requests from customers to provide insightful, accurate, and thought-provoking results
  • Provide data insights and compelling data visualizations to all areas of the Organization
  • Champion data quality and completeness related to BTM products and services
  • Partner with the Data Governance Team to streamline processes and automate data management
  • Proactively monitor key business metrics and trends and provides appropriate awareness and intervention strategies to help ensure business goals are met
  • Understand and articulate complex mathematical and computational learning concepts
  • Interpret data and identify correlations using both univariate and multivariate analysis
  • Develop customized and predictive models to enhance business processes and inform return on investment (ROI) calculations incorporating business and operational goals, as well as market conditions
  • Assist in statistical data mining and other analytical tasks
  • Participate in projects requiring advanced statistical analyses, innovative research, mathematical calculations, and technical skills
  • Assist the development of definitions and baseline and own the provision and accuracy of organizational metrics
  • Mentors and supports data analysts


  • Strong computer skills including experience with Microsoft office software (specifically Excel), SQL, SAS, SAS JMP, R, or Python
  • Understanding of data quality methods, statistical analysis (SAS, R) and predictive modeling preferred
  • Statistics, Quantitative Analysis, Operations Research, and Data Mining techniques
  • Data Visualization tools such as Tableau or Looker
  • Experience writing queries (SQL) and experience with large data sets and complex integrated systems – strong knowledge of databases and spreadsheets
  • Explain statistical concepts in easy to understand language to colleagues with little to no background in data analysis
  • Display data visually, creating powerful presentations and stories which effectively quantify and justify value created to both analytical and non-analytical audiences
  • Lead and speak courageously, challenge ideas and propose alternatives
  • Grasp the diversity of our systems and network and the ability to make recommendations and implement solutions
  • Strong attention to detail and excellent organizational skills
  • Well- developed interpersonal skills dealing with people of different cultures and styles
  • Advanced communication skills to include writing and oral abilities to connect with a wide range of people
  • Demonstrate excellent analytical, problem solving with a strong customer focus
  • Manage multiple assignments simultaneously
  • Work and deliver under tight time frames
  • Manage complex projects with multiple stakeholders


  • Bachelor’s Degree in Computer Science, Bioinformatics, Economics, Statistics, Mathematics, Physics, Finance, or other quantitative disciplines. However, upon evaluation, equivalent related experience and/or education may be substituted for degree requirement
  • A minimum of six years professional hands-on experience translating analytics including statistical modeling, data mining, and predictive modeling/forecasting into actionable insights


  • Master’s degree or higher
  • NMDP operations and data experience

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