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Hiring Process at Analytica

At Analytica, we follow a structured hiring process to ensure we select the best candidates for our team. Here is an overview of our hiring process:

Recruiter's Call: The process begins with a recruiter reaching out to potential candidates. During this initial call, the recruiter will provide an overview of the position and gather preliminary information about the candidate's background and experience.

Rounds of Interviews: Based on the initial call and the hiring manager's approval, the recruiter will establish direct interviews with the team. There may be multiple rounds of interviews that is designed to assess the candidate's qualifications, skills, and fit for the role.

Final Decision: After the interviews, the hiring team will review the candidate's performance and make a final decision. If the team decides to present an offer, the recruiter will directly call the candidate to discuss details such as salary, benefits, start date, etc. Others will also be notified through email or a call.

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When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

By staying vigilant and following these guidelines, we can help protect ourselves from impersonation scams.

Solutions Architect

Remote

Full Time

Experienced

Analytica is seeking a remote Solutions Architect to lead and manage a high profile team with leading the architecture and implementation of data science/ machine learning efforts.
As a core member you’ll work with a diverse team of professionals to solution matters, detect nuisances, and come up with alternatives.

Analytica has been recognized by Inc. Magazine as the fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.

Responsibilities include (But Are Not Necessarily Limited To):

Lead the development and enhancement of a shared enterprise data environment that meets a diverse set of Analytics, Reporting, and Data Science federal requirements
Engage with clients and use a variety of information gathering techniques (e.g., interviews, facilitation, diagrams) to gather complex business data requirements from Business teams
Lead design reviews of data deliverable such as models (conceptual, physical, and logical), data flows, and data quality assessment and promote data modeling standardization, defines, and drives adoption of the standards and data governance practices
Analyze requirements in relation to available data, assesses source system data quality, and analyze schemas to meet performance requirements
Design and maintain a master data management strategy that accounts for all aspects of data management including data ownership, security, and data administration
Oversee data base administration and engineering to align to a data-as a service approach
Ensure high quality data deliverable artifacts are provided, which may include documentation to include formal process mapping, glossaries, data dictionary, functional and non-functional requirement specifications, technical design, key performance indicators, system testing and implementation activities
Support the proposal response process, from participating in solutioning to proposal writing, code challenges, reviewing and development as needed.

Qualifications:

Bachelor’s degree in Computer Science, Engineering, Science, or related field.
8+ years of experience developing enterprise data warehouse / lake solutions
5 years experience and understanding of and experience with SDLC methodology and Agile project management, and working with the Federal Government.
Possesses broad knowledge across the entire analytics lifecycle, particularly around data engineering, databases, governance and end-user workflows (e.g. analytics and data science), including advanced knowledge of products and services that are fueling data driven decision making and how they can be leveraged to support cross-functional workflows
Demonstrated knowledge of data science/ machine learning concepts and experience working with data scientists in the design and implementation machine learning applications.
Demonstrated experience working with Agile framework and facilitating all Agile Scrum ceremonies including designing EPIC / User stories, sprint backlog grooming, daily stand-up meetings, sprint reviews and retrospectives
AWS Certification preferred
Must be a US citizen
Must be able to obtain and maintain a Public trust security clearance

About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.

Analytica LLC. is an Equal Employment Opportunity and Affirmative Action employer. We value diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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