PDS Defense, Inc. is seeking a Data Analys, in Herndon, VA. Job ID#212048
Pay Rate: $30 - $40/hr
Available Locations.
Herndon, VA
Wichita, KS
Mobile, AL
Job Description:
Seeking a HR Data Analyst (Contract) to join our team based in any of our Herndon, Virginia, Mobile, Alabama, or Wichita, Kansas locations.
As a Data Analyst, you will collaborate with stakeholders, design methodologies to solve problems and use advanced analytics and algorithms in the context of business needs. You will perform data extraction, exploratory data analytics, and present your findings in dashboards and reports. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. You won't simply present data, but tell data-driven stories. We are looking for a versatile individual with a keen attention to detail and a problem-solving attitude to join us in our journey to transform the future of HR.
Primary Responsibilities:
Assist in collecting, cleaning, and transforming data from various data sources.
Perform large-scale data analysis using mathematical and statistical methods and tools to extract business insights.
Identify actionable insights, suggest recommendations and influence the direction of the business by communicating results to cross-functional groups.
Suggest improvements in the modeling techniques to and convince the team on new initiatives.
Support in building data visualizations/dashboards to present data insights and recommendations.
Utilize data analytics tools (e.g. Python, Alteryx, Tableau, Skywise,) for data manipulation, basic analysis, and reporting tasks.
Write and execute data queries using SQL, Python, or other data analysis programming languages.
Document data processes, findings, and solutions.
Communicate data analysis results and recommendations to stakeholders.
Collaborate with other data analysts and team members on data projects.
Learn and apply new data technologies and best practices.
Ability to work with semi-structured and unstructured data.
Assembling large, complex sets of data that meet non-functional and functional business requirements.
Develop, test, and deploy machine learning models.
Performs business data analysis, identifying key facts and recommendations in accordance with business standards.
Qualified Experience / Skills / Training:
Education:
Bachelor's degree in Business Information Technology, Management Information Systems, Computer Science, Information Technology, Economics, Mathematics, Data Science/Analytics, Applied Sciences, Engineering, or other quant-focused field or equivalent combination of industry related professional experience and education.
Your Boarding Pass:
Experience:
Minimum 3 years of experience with years in SQL and Python.
Practical experience in a business environment applying analytical skills and tools (Tableau, SQL) to solve real-world problems.
Knowledge, Skills, Demonstrated Capabilities:
Deep curiosity to learn about new applications and projects, self-driven, and analytical.
Familiarity with structured, semi-structured and unstructured data sets (XML, JSON, etc.).
Some experience or project coursework working with databases, data models, and data warehouse concepts.
Attention to details with strong communication, presentation, and time management skills.
Some experience applying basic ML to a type of data and or used algorithms to conduct experiments on data.
Some experience and or project course work performing data analysis and applying statistics working with tools such as: Python, MATLAB, R, Tableau, Alteryx, Excel, or SAS.
Certifications:
Certification in Data Engineering such as Google Cloud Certified Professional Data Engineer certification is a plus.
Travel:
10% Domestic.
Eligibility:
Authorized to Work in the US.
Benefits offered to vary by the contract. Depending on your temporary assignment, benefits may include direct deposit, free career counseling services, 401(k), select paid holidays, short-term disability insurance, skills training, employee referral bonus, affordable medical coverage plan, and DailyPay (in some locations). For a full description of benefits available to you, be sure to talk with your recruiter.