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Senior Data Analyst

Ho-Chunk
Full-time
On-site
Arlington, Virginia, United States






Senior Data Analyst





Job Locations

US-VA-Arlington







ID


2023-7032




Company


HCI Management Services Company




Category


Databases & Data Warehousing




Position Type


Regular Full-Time




Remote


No











Summary






As a Senior Data Analyst adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams.

 

Essential Functions

  • The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

 

Competencies

  • Strong problem-solving skills with an emphasis on product development.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Establishes and maintains effective work relationships at various levels within the Office
  • Demonstrates interpersonal skills in presenting analysis recommendations.
  • Highly developed oral, graphic, and written communications skills in order to confer with and advise employees, other contractors, and officials throughout Bureau on assigned projects; articulate and defend recommendations and decisions in a professional manner; produce coherent, well-crafted, and technically accurate reports, policy recommendations, guidelines, and instructions
  • Knowledge of the sequence and timing of program events and milestones, and methods of evaluating the value of program accomplishments

 

Supervisory Responsibility

Work Environment

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

 

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

 

  • Must be able to remain in a stationary position 75% of the time.
  • Occasionally moves about inside the office to access file cabinets, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer.
  • Expresses or exchanges ideas by means of the spoken word. Those activities in which they must convey detailed or important spoken instructions to other workers accurately, loudly or quickly.
  • Frequently moves standard office equipment up to 25 pounds.
  • Must be able to work indoor conditions 90% of the time.

 

While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.

 

Position Type/Expected Hours of Work

This is a full-time position. Typical days and hours of work are Monday through Friday, 8:00 a.m. to 5:00 p.m.  Evening and weekend hours required, as required by business need.

 

Travel

 

Experience

  • Minimum of 5 years of experience manipulating data sets and building statistical models
  • Experience using statistical computer languages to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

 

Education

  • Bachelor’s Degree from an accredited institution
  • Baccalaureate or higher degree in Information Technology, Statistics, Data Analysis, Geographic Information Systems (GIS) [or in a related field that included 60 semester hours of course work in Information Technology, Statistics, Data Analysis, Geographic Information Systems (GIS) or related disciplines of which at least (1) and 30 semester hours were in data visualization]

Security Clearance

Must be a U.S. citizen and possess or be able to obtain/maintain a SECRET clearance.

 

AAP/EEO Statement

All Native Group is an equal opportunity employer. All applicants are considered without regard to age, sex, race, national origin, religion, marital status or physical disability. However, preference may be extended to persons of Indian descent in accordance with applicable laws.

 

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

 

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