Senior Statistical Analyst

Job Description Lead the development of deliverable content that meets the needs of the client and contract, and review deliverables as well as programming modules for accuracy and quality. Devise methods and strategies for the implementation of data warehouses and large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms, ETL, OLAP. Support the development of platforms and dashboards for the business and respective product owners to increase financial transparency, program effectiveness and organizations analytic capabilities. Assist in data visualization and interaction for internal and external data users via SAS BI, and EGIS. Detect challenges in programs and/or organizations through use of big data analytics, translate those questions into concrete analytical tasks, and conduct causal analyses and/or build predictive models including but not limit to regressions, geo-spatial analysis, structural equation modeling and risk modeling, via agile process. Identify and analyze large, complex, multi-dimensional datasets from multiple sources, and recommend applications, such as Tableau, Alteryx, SAS BI, to add value to project and corporate initiatives, provide insight into important business problem. Leverage automation, cognitive and science-based techniques to manage data, predict scenarios as well as prescribe actions, and employ the latest advances in NLP, robotics, and machine learning to enhance products and create new experiences. Design and implement research plans for program evaluation, using both experimental and quasi-experimental methods. Analyze summarized survey/report indications and prepare supporting analytical and interpretive comments or final recommendations for estimates and forecasts. Engage in business development activities including authoring various sections of the technical proposal. Requirements: Master’s or equivalent in Information Technology, Computer Science, Computer Engineering, Statistics, Data Science, Math, or related field and 1 year of experience in the job offered or as a/an Data Scientist, Statistical Analysts, Business Analyst, or in a related position. In the alternative, we will accept a Bachelor’s or equivalent in the above-stated fields plus 5 years of progressively responsible experience in the above-stated occupations. Additionally, all candidates must possess 1 year using SAS. Employer will accept any suitable combination of education, training, or experience not less than the primary requirements. Position is based out of 2553 Dulles View Drive Ste 240S Herndon VA 20171 and may require relocation to various unanticipated locations throughout the United States. Min. Rate of Pay: $89,690.00/year. Qualified applicants please submit resume to HR Manager, Cloud Nine Technologies Inc., 2553 Dulles View Dr., Suite 240 S, Herndon, VA 20171.