Bitsight is a global cyber risk management leader transforming how organizations manage exposure, performance, and risk for themselves and their third parties. Companies rely on Bitsight to prioritize their cybersecurity investments, build greater trust within their ecosystem, and reduce their chances of financial loss. Built on over a decade of market-leading innovation, Bitsight’s integrated solutions deliver value across enterprise security performance, digital supply chains, cyber insurance and data analysis.

As part of the security analytics team within the data science team, the Data Analyst supports thought leadership by exploring datasets, conducting insightful data analysis, and generating intuitive visualizations. The role will also help multiple internal stakeholders understand datasets, patterns, and trends. Conduct Exploratory Data Analysis (EDA) using EDA packages in Python or R to explore and understand datasets, which includes identifying and removing or replacing missing/incomplete values, deduplicating across multiple datasets, statistical descriptions of data fields, among others. Devise and implement Data Analytics approaches for aligning external datasets to our company’s data by identifying commonalities and combining different references to the same entities. Use data science and statistics software tools in the Python or R programming languages to conduct statistical analyses and statistical significance tests and evaluate correlation strengths across multiple datasets and data fields. Use SQL, Python and pandas or R to construct time- and space-efficient queries to probe and distill large datasets by leveraging deep knowledge of query languages and approaches. Use Big Data storage and computation platforms and tools (e.g., Amazon S3 and EMR, PySpark) to efficiently work with our large and complex datasets. Use visualization tools and software packages (e.g., Tableau, seaborn) to graph and visualize large complex datasets in a simple, intuitive format and present findings in a clear and concise manner for stakeholders. Conduct the above analyses and visualizations in collaboration with and guidance from our company’s Thought Leadership team to generate content for blogs, white papers, reports and other external-facing content. Conduct the above analyses and visualizations in collaboration with and guidance from our company’s Strategic Partnerships team by combining internal and partner-provided datasets and making value propositions about the combined data. Position is based in fixed location; however, 100% telecommuting permitted.

Requires a Master’s degree (or foreign equivalent) in Econometrics, Finance, Statistics, Data Science, Business Analytics, or a directly related field plus two (2) years of experience as a Data Analyst, Data Scientist, or in a related occupation.

Two (2) years of experience in the following (experience may be gained concurrently):

• Query complex data sets from relational databases and big data stores.
• Perform data analysis and data mining to discover trends and insights in the data.
• Build reports using Tableau, Looker, and Excel visualization tools and spreadsheets.
• Conduct data pull, data prep and data analysis work in software using SQL and Python (Pandas) or R programming languages.