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Walk In Data Analyst Interview Jobs in Virginia (NOW HIRING)

Data Analyst Location: 6315 Bren Mar Drive, Alexandria, VA 22312 Summary: This program supports a ... Operating in both classified and unclassified environments, the project emphasizes timely ...

Data Analyst Location: 6315 Bren Mar Drive, Alexandria, VA 22312 Summary: This program supports a ... Operating in both classified and unclassified environments, the project emphasizes timely ...

Sr. Data Analyst

Dahlgren, VA · On-site

$87K - $110K/yr

The Senior Data Analyst leads analysis, integration, modeling, and reporting of enterprise data in support of financial, logistics, ERP, and human resources functions. The Senior Data Analyst ...

Sr. Data Analyst

Dahlgren, VA · On-site

$87K - $110K/yr

The Senior Data Analyst leads analysis, integration, modeling, and reporting of enterprise data in support of financial, logistics, ERP, and human resources functions. The Senior Data Analyst ...

In this role, you will collect, process, and analyze data to support business decisions and uncover trends that drive success. Working collaboratively with various teams, you will develop dashboards ...

In this role, you will collect, process, and analyze data to support business decisions and uncover trends that drive success. Working collaboratively with various teams, you will develop dashboards ...

In this role, you will collect, process, and analyze data to support business decisions and uncover trends that drive success. Working collaboratively with various teams, you will develop dashboards ...

We believe in the transformative power of data. That's why we're looking for someone eager to dive ... Providing support to the Sponsor's business analytics stakeholders whenever needed. * Apply AI and ...

Data Analyst

Mclean, VA · On-site

$77/hr

Identify and implement process improvements and automation in reporting and analysis * Ensure data accuracy, consistency, and integrity across financial systems Required Skills & Competencies

Data Analyst- Channel

Arlington, VA · On-site

$85K - $110K/yr

In this role, you will analyze data across our partner ecosystem-including sales performance, customer usage, licensing, and marketing-to provide insights into how our partners drive revenue growth ...

We believe in the transformative power of data. That's why we're looking for someone eager to dive ... Providing support to the Sponsor's business analytics stakeholders whenever needed. * Apply AI and ...

In this role, you will analyze data across our partner ecosystem-including sales performance, customer usage, licensing, and marketing-to provide insights into how our partners drive revenue growth ...

Principal Data Analyst - Card At Capital One, data is at the center of everything we do. When we ... Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting ...

In this role, you will leverage data analytics, business intelligence, and reporting expertise to support strategic decision-making, improve compensation programs, and enhance workforce visibility ...

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Walk In Data Analyst Interview information

Is it easy to crack a data analyst interview?

Cracking a data analyst interview requires strong analytical skills, proficiency in tools like Excel, SQL, and data visualization software, and a good understanding of statistical concepts. Preparation through practicing case studies, technical questions, and understanding the company's data environment can improve success chances. While challenging, consistent study and experience can make the process more manageable.

Is it hard to get hired as a data analyst?

Getting hired as a data analyst can be competitive, as it often requires strong analytical skills, proficiency in tools like Excel, SQL, and data visualization software, and relevant experience or certifications. Success depends on the candidate's technical abilities, problem-solving skills, and the demand within the industry or company.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI can handle large data sets efficiently, human expertise remains essential for interpreting results, understanding context, and making value-driven recommendations. Data analysts who develop skills in machine learning tools and data visualization will continue to be valuable in the evolving job market.

Is 40 too late for data science?

For a data analyst or data scientist role, starting a career at 40 is possible, especially with relevant skills such as programming, statistics, and tools like Python or SQL. Many professionals transition into data roles later in life by gaining certifications or experience, and age is less of a barrier than skill level and continuous learning.
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Data Analyst

Full-time

Posted 23 days ago


Job description

Looking for candidates with Active Secret Clearance only
Job Title: Data Analyst
Location: 6315 Bren Mar Drive, Alexandria, VA 22312
Summary: This program supports a centralized operations center that serves as the primary information and coordination hub for customers nationwide. The center maintains continuous situational awareness of operational activities, incidents, significant events, and natural disasters affecting customer facilities and operations. It integrates information from regional operations, dispatch centers, partner agencies, intelligence units, and proprietary systems to produce consolidated reports, briefings, bulletins, and presentations for senior leadership and stakeholders.
The program also supports virtual emergency operations centers for national-level activities and provides surge capabilities for incident management teams during field deployments. A maintained Common Operating Picture ensures a shared, real-time understanding of operational conditions. Operating in both classified and unclassified environments, the project emphasizes timely information sharing, executive-level reporting, coordinated communication, and strong records management practices to support leadership decision-making and interagency collaboration.
Responsibilities:
  • The candidate should develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information
  • The candidate may specialize in fields such as biostatistics, agricultural statistics, business statistics, or economic statistics
  • The candidate should perform duties inclusive of mathematical and survey statisticians
  • The candidate should conduct activities related to knowledge management processes, to include, but not limited to, content analysis, document management, data capture, portals, shared storage locations, workflow, collaboration, data warehousing, decision support, and information dissemination;
  • The candidate should support planning to encompass the strategy, architecture and methodology for an enterprise modernization effort; the candidate should support selection, implementation, and measurement of packaged solutions for enterprise modernization; the candidate should ensure complete integration of applications with target data and defined processes
  • The candidate should support development and implementation of the policies, processes, and platforms enhancing effective information sharing and information access across Incident Command and Incident Commander (IC) for hostage recovery, detainee affairs, and other portfolios, as needed
  • The candidate should identify mission-critical information sharing and information access requirements for stakeholders and should propose technical solutions to address
  • The candidate should design, construct, and populate internal repositories for relevant analytic, policy, program, background, and legislative information associated with Prevention and Security (P and S) portfolios
  • The candidate should provide knowledge management and content support to existing information portals
  • The candidate should maintain databases
  • The candidate should have experienced working with Power BI and Tableau
  • The candidate should conduct database mining in response to Requests for Information (RFIs) and should perform limited analysis of data pulled from various Federal Protective Service (FPS) databases
  • The candidate should prepare executive-level reports and products, to include Senior Leader Briefs, In Response to Your Question (IRTYQ) memoranda, talking points, and other such documents, as directed by the Senior Watch Officer (SWO)

Requirements:
  • Candidate must possess a Secret clearance
  • Should have 5 years of experience in data analysis
  • Must possess BA/BS or MA/MS degree