Data Analyst

Data AnalystPurpose and Impact:Are you a data professional who thrives on exploring datasets, uncovering insights, and solving complex client challenges? If so, this opportunity could be a great fit.This role is ideal for someone who is passionate about data analysis and enjoys identifying meaningful patterns, trends, and opportunities to build impactful data-driven solutions. You'll work on engaging projects that directly influence client outcomes and drive business success.We believe in the transformative power of data. That's why we're looking for someone eager to dive into complex datasets, think critically, and deliver innovative, actionable insights. Your expertise will play a key role in helping our clients make informed decisions and achieve their goals.Work Schedule: M-F, 40 hours/week (Flex time, Comp time, and Extended Work Week (EWW) approved)Essential Responsibilities:In this role, you will:Preparing regular and ad hoc performance reports to provide valuable insights.Creating documents, databases, reports, and presentations as required to support our initiatives.Providing support to the Sponsor's business analytics stakeholders whenever needed.Apply AI and ML techniques to unstructured data sets, unlocking hidden patterns and insights.Utilize statistical techniques to create models using enterprise data warehouses and/or data lakes.Collaborate with a team of like-minded professionals, sharing knowledge and ideas to achieve exceptional outcomes.Work Environment, Physical Demands, and Mental Demands: General Office environment. The work environment is fast-paced and sometimes involves extreme deadline pressures. The nature of the work requires a high degree of teamwork and cooperation with other members of the staff as well as individuals across the Company and Customers.Physical Requirements:Most work will be done at a desk or computer.Attendance:Attendance is critical at all times. Must be able to work a 40-hour workweek, normally Monday through Friday. However, times and days may vary depending on business requirements. Needs to be available to work overtime during critical peaks and be available to meet last minute requests for overtime should the situation occur.Other Essential Functions:Must be able to communicate effectively both verbally and in writingGrooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. Must put forward a professional behavior that enhances productivity and promotes teamwork and cooperation.Must be able to interface with individuals at all levels of the organization both verbally and in writing. Must be well-organized with the ability to coordinate and prioritize multiple tasks simultaneously. Must work well under pressure to meet deadline requirements. Must be willing to travel as needed. Must take and pass a drug test and background check as well as a motor vehicle records check. Must be a US citizen.Minimum Requirements (Knowledge, Skills, and Abilities):To excel in this role, you should have the following qualifications:TS/SCI clearance with polygraph.A bachelor's degree in a strongly quantitative field, such as Computer Science, Statistics, Applied Mathematics, Engineering, Information Systems, or Computational Linguistics.A strong background in data analysis, with a strong understanding of SQL principles.Experience in programming languages such as Python, R, or similar.Strong problem-solving skills, coupled with a creative mindset to devise innovative solutions.Proficiency in developing data products including dashboards and printable reports using data visualization tools such as Tableau or similar.Excellent communication skills and the ability to work collaboratively in a team environment.Must be able to interface with individuals at all levels of the organization both verbally and in writing.Must be well-organized with the ability to coordinate and prioritize multiple tasks simultaneously.Must work well under pressure to meet deadline requirements.Clearance Required:TS/SCI with polyMinimum Education:Bachelor's degreeMinimum Years of Experience:5Preferred Qualifications:Master's or PhD in Data Science, Statistics or MathematicsCompensation Details:$190,000-$205,000The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.Benefits Overview:Our health and welfare benefits are designed to support you and your priorities. Offerings include:Health, dental, and vision insurancePaid time off and holidaysRetirement benefits (including 401(k) matching)Educational reimbursementParental leaveEmployee stock purchase planTax-saving optionsDisability and life insurancePet insuranceNote: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.