Offer summary

Qualifications:

Bachelor's degree in Computer Science or related field., Minimum of 5 years of experience in Data Analysis., Experience with SQL and Python Programming., Strong understanding of database design and data modeling..

Key responsabilities:

Build and enhance data analytics processes.

Analyze complex numerical and textual data.

We are a Recruiting, Staffing and Talent Acquisition firm based out of Ashburn, VA. We specialize in providing outbound and inbound TA strategies to our small-medium clients in leading industry verticals like federal systems integrators and companies in the tech sector. With a CAGR of over 700% since 2010 and a three-year growth rate of 248% since 2012, we have been named to Inc's fastest-growing companies and Entrepreneur magazine's "Best Entrepreneur company". Our mantra at Param is "solving our customers toughest challenges" and our mission is multi-fold. We are passionate about helping our customers find talent on time and save them 60-80% of their hiring costs. Secondly, we are incredibly keen on recruiting and staffing our customer's projects with the best available talent using our decades of talent acquisition expertise and global footprint. We have partnered with various small-medium businesses (SMB) over the years and successfully delivered IT staffing, recruiting and talent acquisition solutions for their critical and time-sensitive missions.

Job description

Responsibility:

Build and enhance Non-SQL/SQL based data analytics processes through all phases of development, implementation, and upkeep.
Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.
Create and maintain reporting dashboards to deliver data insights to a wide range of consumers.
Partner with a cross-functional team of data engineers, machine learning engineers, and data visualizers to deliver projects.
Develop data science solutions utilizing both on-premises and Microsoft Azure Cloud Computing Infrastructures.
Perform other duties as assigned.

Qualifications:

Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent work experience).
Experience with cloud computing infrastructure.
Minimum of 5 years of experience in Data Analysis, SQL/Python Programming, and Plotly Enterprise or Power BI development.
Strong understanding of database design, data mining, and data modeling concepts.
Experience with ETL processes and data integration techniques.
Proven ability to develop effective data visualizations using Power BI and/or Plotly Enterprise.
Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.

Desired:

Advanced degree in in computer science, mathematics, physics, statistics, or related field.
Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages/frameworks appropriate for large data analysis.
Experience with supervised/unsupervised machine learning model development in areas of clustering, classification and/or regression.
Experience with No-SQL databases such as MongoDB and Cassandra
Experience with API end point connection and configuration for complex data pipelines.
Experience establishing data governance principals as part of the data ingestion process.
Experience working with Agile principals utilizing Azure DevOps or similar systems.
Experience working in the Financial Industry

Required profile