44 Data Analyst Jobs in Reston, VA
Base 2 Solutions is Hiring a Data Analyst Near Reston, VA
Base-2 Solutions is seeking a highly analytical and detail-oriented Data Analyst to join our team. In this role, you will be responsible for identifying, defining, collecting, and reporting on key performance metrics to drive data-based decision making and continuous improvement across the organization. You will also be involved in process analysis and improvement initiatives to enhance operational efficiency and quality.
Job Description
- Identify, define, and establish key performance metrics and indicators relevant to the organization's goals and objectives.
- Develop data collection methodologies and systems to gather accurate and reliable metrics.
- Collect and analyze data from various sources, ensuring data integrity and accuracy.
- Prepare comprehensive reports, dashboards, and presentations to effectively communicate metric findings to stakeholders and management.
- Collaborate with cross-functional teams to understand data requirements and align metrics with business objectives.
- Conduct process analysis to identify inefficiencies, bottlenecks, and areas for improvement.
- Recommend and implement process improvements to enhance operational efficiency, quality, and customer satisfaction.
- Collaborate with teams to ensure the successful implementation of process changes and monitor their effectiveness.
- Continuously monitor and evaluate service delivery processes to identify opportunities for improvement and optimize customer experience.
- Contribute to the development and implementation of quality assurance and quality control measures to ensure adherence to established standards.
- Conduct quality inspections, identify defects or deviations, and recommend corrective actions to maintain high-quality standards.
- Stay updated with industry best practices, emerging trends, and technologies related to metrics analysis, process improvement, and quality assurance.
Required Skills
- Proven experience in metrics analysis, reporting, process improvement, and quality assurance.
- Strong analytical skills with the ability to collect, analyze, and interpret complex data sets.
- Proficient in data visualization techniques and tools to effectively present findings.
- Solid understanding of process analysis methodologies and continuous improvement concepts.
- Knowledge of quality assurance principles, methodologies, and best practices.
- Excellent communication and presentation skills to convey complex information to both technical and non-technical stakeholders.
- Strong problem-solving skills with the ability to think critically and propose innovative solutions.
- Detail-oriented with a strong focus on data accuracy and attention to detail.
- Proficient in using data analysis software, spreadsheet applications, and business intelligence tools.
- Ability to work independently as well as collaboratively in a team environment.
Characteristics
- Develops, analyzes, and models operational, economic, management, accounting, and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies.
- Applies and integrates statistical, mathematical, predictive modeling, and business analysis skills to manage and manipulate complex, high-volume data from a variety of sources.
- Contributes to the completion of specific programs and projects.
- Analyzes organizational data and conducts advanced statistical analysis.
- Applies mathematical calculations to recommend solutions to technical problems of high complexity.
- Models and evaluates the potential impact of data changes.
- Performs additional duties as assigned.
- Develops innovative strategies and quantifies the competitive performance of the organization's operations and/or markets.
- May coach and review the work of less-experienced professionals.
Education and Experience
- High School Diploma or GED 10 years of relevant experience
- Associates Degree 8 years of relevant experience
- Bachelor's Degree 6 years of relevant experience
- Master's Degree 2 years of relevant experience
- Note: Relevant professional certifications will be considered equivalent to six (6) months of relevant experience
Job Summary
Full Time
IT Outsourcing & Consulting
$103k-135k (estimate)
02/15/2024
07/23/2024
base-2solutions.com
WASHINGTON, DC
<25
2016
TYSEN LECKIE
<$5M
IT Outsourcing & Consulting
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About Base 2 Solutions
Base-2 Solutions is a woman-owned small business based in Washington, DC, employing personnel to support our national security mission and the forward-deployed Warfighter. We are a premier provider of solutions in the areas of Software & System Engineering, Cyber Security, Cloud Computing, Big Data, DevSecOps and Data Analytics.
The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.
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Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Analyst job description and responsibilities
A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Analyst jobs
Data analysts typically work with existing data to solve defined business problems.
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Data analysts rely on various tools to collect and make sense of their data.
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Data analysts often work directly with more senior data team members like data scientists or data engineers.
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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.
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Step 3: View the best colleges and universities for Data Analyst.
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