Data Analyst (Data Warehousing)
Washington, DC
Ardent MC
Our digital transformation, data science and location intelligence solutions are proven to deliver client mission outcomes.Ardent is a software development firm, focused on high-value/ high-technology solutions for government projects and invites you to join our dynamic organization. Ardent offers competitive salaries, matching 401K, Liberal PTO and paid holidays, tuition reimbursement and a host of other benefits, creating a rewarding and fast-paced work environment.
Ardent is seeking a Data Analyst to join our team.
This is an on-site role in Washington, DC.
This position is for a junior to mid-level Data Analyst to join Ardent’s Data Science & Analytics practice, working on a contract for a the Cybersecurity & Infrastructure Security Agency (CISA). You will be helping CISA share data and intelligence with the private sector to protect the private and public sector from cybersecurity attacks.
Responsibilities
- Direct contract support to CISA and our partner firms
- Data Warehouse Analyst: Design, implement and support data warehousing. Implement business rules via stored procedures, middleware, or other technologies. Define user interfaces and functional specifications.
- DSA Practice
- Use business intelligence software tools such as Power BI, Tableau, Esri to create dashboards, data visualizations, run queries/reports, and analyze large datasets on behalf of enterprise clients
- Serve as a ‘data journalist’ and lead data analyst to uncover data insights, perform quantitative and qualitative analysis across wide range of domains and applications and make it actionable: intelligence, law enforcement/investigative support, financial/econ data, GIS data, public safety, infrastructure, business performance/operations metrics, etc.
- Serve as data analytics consultant, advising govt clients on how best to utilize their agency data; assist with business development efforts as needed
- Assist with creation of various AI/ML models and algorithms using data science tools/process/methods to ingest multiple sources of structured and unstructured data to tackle public safety-related problems
- Perform deep dives and ETL of data sources to combine and transform data from multiple sources and domains to discover novel and actionable insights
- Participate in full data lifecycle: collect, clean, prepare, ETL, analyze/exploit, model, and QC data; find new ways to automate this work
- Continuously scan for and learn about new datasets and data science methodologies that will improve our services for our clients or enhance our technology products
Qualifications
- BS in computer science, MIS, engineering, sciences, operations research, data science, statistics, applied math; or Master’s in similar or MBA
- We are open to work experience or certifications or proven quantitative analysis skills (Github profile) in lieu of STEM degree
- Data visualization tools: Tableau, Power BI
- Coding: Python, R
- Able to receive pass CISA Suitability screening
- Recent experience in military, government cybersecurity operations, or Intelligence Community a plus
- Strong software development and coding ability (front end, databases, ETL) a plus
- Self-starter who takes the initiative; creative problem-solver; likes business challenges, change, and learning new skills
Due to the nature of the work we support, all candidates in consideration for this role must be U.S. Citizens willing to undergo the government issued background investigation process.
In compliance with Executive Order on Ensuring Adequate COVID safety Protocols for Federal Contractors, able to provide proof of full COVID-19 vaccination status no later than December 8, 2021 or qualify for a reasonable accommodation. Fully vaccinated is defined as two weeks post final vaccination.
Ardent is an equal opportunity employer. We will not discriminate and will take affirmative action measures to ensure against discrimination in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of race, color, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity or gender expression.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Computer Science Data Analytics Data visualization Data Warehousing Engineering ETL GitHub Machine Learning ML models Power BI Python R Research Security Statistics STEM Tableau Unstructured data
Perks/benefits: Career development Competitive pay
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