Senior Data Analyst

LyteForge; McLean (VA); On-site; USD 80,100 - 97,900; Full time

Benefits offered by this job

Health Insurance

Vision Insurance

Paid Time off

Paternal/Maternal Leave

Job summary

A leading software development company in McLean, Virginia is seeking a Senior Data Analyst to lead complex data analysis initiatives. The ideal candidate will have expertise in handling large datasets, architecting data pipelines, and utilizing various technologies. This role offers significant growth opportunities and requires a commitment to excellence and professionalism.

Qualifications

• At least 2 years of Data Analysis experience in professional environments.
• Ability to maintain security clearance and handle clients professionally.

Responsibilities

• Lead analysis of complex datasets, uncovering critical patterns.
• Architect and oversee batch processing of billions of data points.
• Mentor junior data analysts and contribute to data strategy.

Skills

Data Analysis

Communication

Leadership

Tools

Python

Apache Spark

Apache Flink

Apache Airflow

Tableau

Power BI

Jupyter Notebook

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 Senior 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 team.

DESCRIPTION:

We are seeking a highly experienced and strategic Senior Data Analyst to lead complex data analysis initiatives and provide critical insights that drive our mission. The ideal candidate will possess deep expertise in working with large-scale datasets, including graph networks and batch processing of billions of data points. You will have a proven track record of effectively handling unstructured and unclean data, architecting robust data pipelines, and leveraging technologies such as Python, Apache Spark, Apache Flink, Apache Airflow, and various visualization tools. As a senior member of our team, you will be expected to lead analytical projects, mentor junior analysts, and contribute to the overall data strategy of the organization.

Day-to-day responsibilities and duties include:

• Lead the analysis of complex and massive datasets, including intricate graph networks, to uncover critical patterns, trends, and actionable intelligence.
• Architect and oversee batch processing analysis of datasets involving multiples of billions of datapoints, ensuring efficiency and accuracy.
• Develop and implement advanced techniques for handling unstructured and unclean data, establishing robust data cleaning, preprocessing, and standardization methodologies.
• Design, build, and optimize scalable and reliable data pipelines for efficient data ingestion, transformation, and storage using industry best practices.
• Demonstrate expert-level proficiency in Python for advanced data manipulation, statistical analysis, and the development of analytical tools and scripts.
• Lead the utilization of distributed data processing frameworks such as Apache Spark and Apache Flink for high-performance data analysis and processing at scale.
• Design and implement efficient data workflow orchestration and scheduling using tools like Apache Airflow and Apache Beam.
• Utilize Jupyter Notebook extensively for complex exploratory data analysis, advanced prototyping, and the clear documentation of methodologies and findings for both technical and non-technical audiences.
• Strategically employ a variety of sophisticated visualization tools (e.g., Tableau, Power BI, advanced Python libraries, Grafana) to effectively communicate complex data insights and recommendations to stakeholders.
• Collaborate closely with engineering, and leadership teams to understand strategic objectives and translate them into impactful data-driven solutions.
• Establish and enforce data quality standards and implement rigorous data validation processes.
• Mentor and guide junior data analysts, fostering their technical growth and analytical skills.
• Contribute to the development and evolution of the organization's data strategy and analytical frameworks.
• Stay abreast of the latest advancements in data analysis, big data technologies, and artificial intelligence/machine learning trends.
• Present complex data findings and recommendations to executive leadership in a clear and concise manner.

REQUIREMENTS:

Applicants MUST

- be able to qualify and maintain security clearance.

- have at least 2 years of Data Analysis experience and 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 $89,000 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

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

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