69 Data Analyst Jobs in Arlington, VA
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DRT Strategies is Hiring a Data Analyst Near Arlington, VA
• Demonstrate ability to manage large data projects in an effective and organized manner. This includes clean data management for future use by the team and others i.e. logical folder structures, consistent naming conventions, clear documentation of processes, etc.
• Demonstrate experience in processing large scale datasets to create histograms, charts, and other statistical visualizations of data to gain a better understanding of the data
• Ability to analyze and manipulate CSV data geospatially with desktop ArcGIS
• Experience handling raster and vector datasets; clipping, merging, intersecting, rasterizing, vectorizing etc.
• Experience exporting GIS layers for use by other team members
• Demonstrate an understanding of various Coordinate Reference Systems and possess experience transforming between different CRS formats
• Experience with the Python libraries GeoPandas, Shapely, Rasterio, GDAL
• Experience developing GIS visualizations with ArcGIS or QGIS to present informational map graphics such as heatmaps for point-based data and color ramps for Digital Elevation Models (DEMs)
• Experience creating and using virtual environments with Anaconda or something similar.
• Validate GIS inputs for CAT models
• Write scripts in Python to analyze various datasets
• Develop geospatial visualizations of rating plans
• Conduct analysis to draw insights from generate model outputs
• Conduct Fragility Curve Analysis using Phyton
• Investigate discrepancies between expected outputs
• Support annual rate reviews and development of appropriate rate and rule revisions, and revisions to actuarial statistical plans
• Provide catastrophic modeling support, including the design and review of models in support of various National Flood Insurance Program (NFIP) activities
• Ad-hoc exploratory analysis
• Cause of Loss statistical model building
• Prepare location data baskets for input into CAT models Required Experience• Experience using desktop ArcGIS
• Proficiency in Python or R with emphasis in data science
• Proficiency in geospatial modeling, spatial statistics, and data analysis in Python
• Experience with geospatial libraries (GeoPandas, Shapely, Rasterio, GDAL)
• Statistical modeling experience
• Minimum of 3 years of experience with GIS data and geospatial visualization libraries
• Undergraduate-level knowledge of statistical and mathematical concepts required Preferred Experience• Catastrophic Modeling experience a plus
• Experienced with SQL database querying and manipulation
• Demonstrate understanding of Generalized Linear Models (GLMs)
• Possess an understanding of mathematical and statistical concepts used to gain better understanding of datasets; mean, standard deviation, variance, etc.
• Experience using R (preferred) and/or SQL software for data analysis
• Knowledge and understanding of catastrophe models (highly desirable)
• Proficiency with Microsoft Office (Excel, Access), VBA, and other programming languages is a plus
• Experience with vector and raster geospatial data Education and Training• Bachelor’s degree in a related quantitative field (e.g., mathematics, statistics, engineering, economics, computer science, data science)DRT’s culture is reflective of our core values:
- Professionalism: Be a leader and someone your customers and colleagues can count on by taking ownership and accountability for your work. Demonstrate a solution-oriented mindset and bias for action. Show empathy, dignity, and respect for each other. Be "high minded", maintain a calm demeanor when dealing with ambiguity or adversity and stay out of the fray (i.e., avoid drama).
- Quality: Do things right and do the right thing. Pursue excellence in your work by delivering quality services and products that provide high value and return on investment (ROI).
- Teamwork: Work with each other, the customer, and DRT. Demonstrate flexibility, a positive attitude and willingness to work collaboratively to help others and share information.
- Customer Mission Focused: Commit to customer success and strive to exceed expectations by understanding the mission, executing the customer's vision, and solving challenges to drive results and achieve mission goals. Build meaningful customer relationships by asking thoughtful questions, listening, and operating transparently.
- Growth Mindedness: Commit to company, team, and personal growth. Embrace an entrepreneurial spirit by actively seeking opportunities to support new customer projects and/or solve problems. Actively work to improve your skills, learn to be comfortable with ambiguity, and be resourceful and willing to figure things out and add value.
Job Summary
Full Time
IT Outsourcing & Consulting
$102k-133k (estimate)
03/04/2024
04/27/2024
drtstrategies.com
ARLINGTON, VA
200 - 500
2004
Private
SUSAN MALYN KIDD
$50M - $200M
IT Outsourcing & Consulting
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About DRT Strategies
DRT Strategies is a provider of expert management consulting and Information Technology solutions.
The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.
If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Analyst job description and responsibilities
A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.
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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.
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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.
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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.
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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Analyst jobs
Data analysts typically work with existing data to solve defined business problems.
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Data analysts rely on various tools to collect and make sense of their data.
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Banks and financial firms need data analysts for financial reporting and forecasting.
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Data analysts often work directly with more senior data team members like data scientists or data engineers.
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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.
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Step 3: View the best colleges and universities for Data Analyst.
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