Data Analyst - Washington, United States - Steel Point Solutions
Description
Steel Point Solutions is an amazing SBA Certified (8a), HUBZone, Small Disadvantaged Business (SDB) and a Woman Owned Small Business (WOSB) company.
Established in 2013 with a vision of offering world class, integrated business solutions for all levels of Government and commercial enterprises.
We are represented by a team of talented and qualified professionals who know how essential efficient, cost-effective integrated solutions are to your organization's success.
Leveraging these resources, we strive daily to lead the industry in program management and service delivery.
Steel Point Solutions is actively recruiting skilled professionals to join our mission in supporting the Internal Revenue Service (IRS), Office of Equity, Diversity, and Inclusion (EDI), EDI Transformation Implementation.
Task / Responsibilities
- Managing analytics projects from start to finish (data integration, analysis, reporting).
- Working closely with the team leads to solving statistical business problems.
- Developing and coding new algorithms to meet specific business needs.
- Carrying out statistical research, prototyping new systems, and finding new ways of gathering, cleaning, and analyzing data.
- Managing, maintaining, and developing the organization's data platform.
- Consulting with internal teams and external clients to determine their ongoing business needs, and to find solutions to them.
- Actively working to identify improvements to internal processes, to improve conversions, revenue, ROI (or other relevant metrics).
- Ability to lead teams in researching or solving businesscritical problems.
Skills:
- Strong technical skills, including Python, SQL, R, Tableau.
- Ability to create databases from scratch and to develop existing frameworks.
- Experience working with large structured and unstructured datasets.
- Exposure to platforms such as Hadoop ecosystem, e.g. Spark, Pig and Hive.
- Relevant domain expertise, i.e. indepth knowledge of your business area.
- Familiarity with a wide variety of Python libraries.
Education / Experience:
- BA or master's in computer science, information systems, mathematics, machine learning, or similar (or a data analytics certification acquired through a specific program).
- 25 years of experience in database and project management, including programming, data mining, analysis, and reporting.
- Knowledge of additional programming languages, e.g. R, SAS, Java, JavaScript, C++, etc.
- Some knowledge of machine learning/deep learning, including Python libraries like TensorFlow
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
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