Job Description
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Our organization is a unique software development company based in McLean, Virginia, dedicated to providing top-tier solutions to defend the United States and its businesses.
We are seeking a highly skilled and passionate Junior Data Analyst who embodies our commitment to excellence and is driven to "do it right." This is a long-term opportunity for serious professionals who meet our stringent requirements and are eager to contribute to our critical mission. Compensation will be commensurate with experience, and we offer significant opportunities for professional growth and advancement within our best-of-the-best team.
DESCRIPTION:
We are seeking a motivated and detail-oriented Junior Data Analyst to join our growing team. This role offers an exciting opportunity to work with vast datasets and cutting-edge technologies to extract meaningful insights that contribute to our critical mission. The ideal candidate will have a foundational understanding of data analysis principles and a strong eagerness to learn and apply skills in areas such as graph network analysis, batch processing of large datasets, data pipeline construction, and utilizing tools like Python , Apache Spark, Apache Flink , and various visualization tools . You will work closely with senior data scientists and engineers to analyze complex data and contribute to the development of data-driven solutions.
Day-to-day responsibilities and duties include:
Assist in the analysis of complex datasets, including graph networks , to identify patterns, trends, and insights.
Participate in batch processing analysis of large-scale datasets, potentially involving multiples of billions of datapoints .
Learn and apply techniques for working with unstructured and unclean data , including data cleaning and preprocessing methods.
Contribute to the building of data pipelines for data ingestion, transformation, and storage using relevant technologies.
Utilize Python for data manipulation, analysis, and scripting tasks.
Gain practical experience working with distributed data processing frameworks such as Apache Spark and Apache Flink .
Assist in the orchestration and scheduling of data workflows using tools like Apache Airflow and Apache Beam .
Utilize Jupyter Notebook for exploratory data analysis, prototyping, and documenting findings.
Employ various visualization tools (e.g., Matplotlib, Seaborn, Tableau, Grafana) to communicate data insights effectively.
Collaborate with senior data analysts and engineers to understand project requirements and contribute to analytical solutions.
Learn and apply data quality and validation techniques.
Document analysis methodologies and findings clearly and concisely.
Stay up-to-date with the latest trends and technologies in data analysis and big data processing.
REQUIREMENTS:
Applicants MUST
- must be able to qualify and maintain security clearance.
- have at least 2 years of Data Analyst experience and have a good understanding of professional business environments.
- be very friendly and able to calmly handle clients and staff
- be able to carry themselves in a professional manner
- be punctual, responsible, and reliable
- have good written and verbal communication skills (answering the phone and composing emails in a professional manner)
Benefits / Additional Compensation:
Health Insurance
Vision Insurance
Paid Time off
Paternal/Maternal Leave
Job Type: Full-time
Pay: From $67,000 per year excluding bonus and benefits.
Schedule:
The schedule for this position is project driven and can be highly variable depending on project deadlines and the specific needs of the software development teams.
Monday to Friday
TO APPLY : Please submit a resume. A cover letter is not required, although a short personal message explaining your work experience as it relates to this listing is extremely helpful.
Seniority level Seniority level Entry level
Employment type Employment type Full-time
Job function Job function Information Technology
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Job Tags
Full time, Contract work, Work experience placement, Monday to Friday,