210 Data Analyst Jobs in Washington, DC
Progression, Inc. is Hiring a Data Analyst Near Washington, DC
Data Analyst/Machine Learning Engineer
Washington, DC
MUST:
Experienced Data Analyst/Machine Learning Engineer
Public Trust is required
5 years related experience with a focus on Data Mining and Machine Learning.
Proficient in R, with significant experience using Posit (formerly RStudio) for data analysis and model development.
Strong experience with SQL and familiarity with Python or other programming languages.
Demonstrable experience in using statistical and machine learning techniques for analyzing and solving complex problems.
Excellent analytical, problem-solving, and organizational skills.
Proven ability to handle customer success and support activities.
Strong communication skills, with the ability to explain complex analytical concepts to stakeholders from various departments.
Experience with big data technologies such as Databricks, Spark, SparkR.
Knowledge of advanced analytics techniques, such as simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Knowledge of Generative AI technologies like OpenAI and LLMs.
Experience with cloud services like Azure or AWS
Knowledge of SAS/SAS Viya.
Bachelor's degree in Computer Science, Engineering, Statistics, or related field.
DUTIES:
Onboarding customers and assisting on Posit and RStudio.
Collaborate with cross-functional teams to understand business needs and provide data-driven insights and solutions.
Manage the full lifecycle of data analysis projects from data collection and cleaning to analysis and presentation of results.
Develop custom data models and algorithms to apply to data sets, using both standard statistical tools and innovative data analysis techniques.
Prepare detailed reports and presentations for non-technical stakeholders to communicate trends, patterns, and predictions using relevant data.
Job Summary
Full Time
$104k-135k (estimate)
06/22/2024
08/21/2024
progressioninc.com
Reston, VA
<25
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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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