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Data Analyst
Elder Research Washington, DC
Full Time | Business Services 1 Week Ago
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Elder Research is Hiring a Data Analyst Near Washington, DC

Data Analyst

Location: Location: Remote with a preference in the DMV area.

Clearance Required: TS adjudicated within the past 2 years OR an active TS/SCI OR a CBP clearance.

People Centered. Data Driven

Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools.

We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients’ environment and needs.

Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience.

As a Data Analyst, you will be under occasional supervision, responsible for data mining, data preparation, and reporting. You will prepare and conduct analyses and studies, needs/gaps assessments. Apply knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed. Document and summarizes the results and develop and recommended solutions to the customer’s problems. Prepare big data, implement data models developed by others, and provide database support for customer solutions. Key member of a data science project team, supporting data scientists or other consultants in the performance of assigned tasks.

Minimum Requirements:

a. Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least two (2) years of experience applied data science research or big data analytics.

b. Bachelor’s Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline A Master’s degree may be substituted for up to two (2) years of relevant experience. A PhD may be substituted for experience.

c. Demonstrates knowledge of data mining methods, databases, data visualization and machine learning.

d. Ability to communicate analysis techniques, concepts and products

e. Ability to develop data-driven analysis and reports based on data visualizations and data models

f. Ability to design and create dashboards that convey complex information in an easily understood way; specific experience with Qlik is preferred

g. Recently adjudicated TS (within past 2 years), active SCI, or Customs and Border Protection clearance.

Desired Experience and Skills

a. Familiarity with Databricks or similar cloud-based distributed database technologies

b. Familiarity with PySpark and Python

c. Comfortable developing complex SQL queries to extract, transform, and load data

About Elder Research, Inc

Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business over 20 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.

Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.

Elder Research believes in continuous learning; each week the entire company attends a “Tech Talk” followed by an office lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others.

Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Elder Research is a Government contractor and our positions require US Citizenship.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

POST DATE

05/13/2024

EXPIRATION DATE

07/12/2024

WEBSITE

elderresearch.com

HEADQUARTERS

CHARLOTTESVILLE, VA

SIZE

50 - 100

FOUNDED

1995

TYPE

Private

CEO

JOHN ELDER

REVENUE

$5M - $10M

INDUSTRY

Business Services

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Elder Research specializes in data science, text mining, data visualization, scientific software engineering and technical teaching.

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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.

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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

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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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