Golden Key Group

Senior Data Analyst

Full Time
None Needed - Eligible to Obtain

About GKG

With a passion for excellence, Golden Key Group (GKG) helps clients solve their strategic, organizational, and operational challenges to better meet their mission demands.  We have serviced more than 25 Federal departments and agencies and several large commercial companies since our inception in 2002.


Golden Key Group's talented professionals, combined with our strategic partners, bring a depth of commercial and government experience and expertise.  We are relentless in delivering the highest levels of services to provide tangible value and create sustainable results for our clients.


GKG is looking for the right person, not just any person, to take on the Senior Data Analyst position. Our biggest asset is our team, and they are committed to technology as it is a passion, not a job.  GKG drives a digital transformation that allows the business to run more efficiently, make better decisions, and understand our customers better, thus providing a richer customer experience.


As a champion for collaboration, efficiency and execution, the Senior Data Analyst will support the development of industry-leading technologies and processes. You will focus on leading analytics efforts with cross-functional teams to improve the customer experience and provide scalable data solutions, business intelligence, and analytics. Key responsibilities include developing data models, metrics reporting, surfacing actionable insights from data, scoping the quantitative impact of potential opportunities, and identifying opportunities to improve data quality and product data operations on our platform. Strong communication and experience are required.


To succeed in this data analysting position, you should have strong analytical skills and combine data from different sources. Other key required skills also include familiarity with several programming languages and knowledge of learning machine methods.


If you are detail-oriented, with excellent organizational skills and experience in this field, we'd like to hear from you.



Develop and manage end-to-end analytics solutions - requirements gathering, establishing key metrics, building data pipeline, designing dashboards, and analyzing  data to drive the performance of our operations


Partner with analytics and data engineering teams to identify and close gaps in logging and data infrastructure

Plan, architect, and build data infrastructure, visualization, and self-serve analytical tools in order to help scale operations


Work with stakeholders, including data, design, product, and executive teams, and assisting them with data-related technical issues

Typical Business Hours are from 8 AM – 6 PM, Mon – Fri, with occasional after-hours work


  • Previous experience as a Data Analyst or in a similar role
  • Technical expertise with data models, data mining, and segmentation techniques
  • Experience with reporting systems, data pipeline architecture and data modeling
  • experience in data visualization tools (e.g. Tableau)
  • Experience using a scripting language (Python, PHP, Perl, etc.)
  • Hands-on experience with SQL database design
  • Excellent numerical and analytical skills
  • Degree in Computer Science, IT, or similar field; a Master's is a plus
  • Data Analysting certification (e.g, Datarobot, IBM Certified Data Analyst) is a plus
  • BA/BS degree in Math, Statistics, Economics, Computer Science, or other quantitative field with experience in Analytics
  • The ability to obtain a public trust clearance or higher is a must.

Must provide proof of COVID-19 vaccination status or obtain an approved accommodation request (as required by law) within 30 days of employment.

Desired Qualifications

  • Must be motivated, independent, and self-sufficient. Able to receive an assigned task and see it through to completion with minimal supervision.
  • Excellent teamwork and interpersonal skills.
  • The candidate must be the quintessential team player and a highly skilled communicator.
  • The candidate should have excellent interpersonal and customer-facing skills.
  • Strong interpersonal skills and ability to effectively communicate with teams across the entire organization
  • The ability to work in a team environment is essential
  • Must pass Criminal Background Check before employment


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