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Data Analyst

OverviewCayuse Federal Services (CFS) provides innovative and flexible solutions to federal government clients, emphasizing cost-effective excellence. CFS' capabilities, market-relevant service offerings, past performance credentials, and diverse status allow government clients to engage quickly and confidently with CFS. Core service areas for CFS include Environmental Services Investigation and Remediation, Munitions Response/Unexploded Ordnance (UXO), Operations Support Services Bases, Ranges, Airfields, and Logistics/Warehouse Management.Primary FocusThe Data Analyst works with the client in developing and identifying areas within IRS where data obtained through IRS systems may be applied to support IRS compliance activities; help in discovering emerging trends in payment collections and taxpayer behaviors; develop systemic solutions; document analytical work and validate models for transfer to appropriate agency functions.Responsibilities• Meet with Government clients to understand their business needs, define research objectives, identify data sources, and develop analysis plans• Apply critical thinking and creative problem-solving skills to proactively identify and develop solutions for clients’ business problems• Conduct exploratory data analysis using large-scale Government data sources. Develop briefings and reports to communicate key findings to colleagues and Government clients• Work with teams of data scientists to build pipelines for data engineering and machine learning• Work with teams of software developers to build tools for data visualization and analysis• Develop recommendations based on completed research and analysis and present these recommendations to government clients• Demonstrate superior verbal and written communication skills, with the ability to explain complex analytical concepts to stakeholders with technical and non-technical backgrounds• Takes ownership of tasks and develops high-quality work products with minimal supervision• Other duties as assignedQualificationsMinimum Qualifications:• Bachelor’s in Economics, Statistics, Mathematics, Computer Science, or other quantitative field, or equivalent experience• 2–5 years of professional experience• 2–5 years of in-depth understanding of data constructs, basic statistical concepts, and analytical methods• 2–5 years of experience formulating data-driven recommendations• Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment• This position requires candidates to obtain a Federal Public Trust Clearance. Being a US Citizen or a Lawful Permanent Resident is required when obtaining a Federal Public Trust Clearance.Minimum Skills:• Comfortable working on projects and with teams with heavy technical focus, including data analytics, machine learning, and/or business intelligence technologies• Experience with at least one object-oriented programming language (e.g., Python, Java, JavaScript)• Experience with structured databases and query languages (e.g., PL/SQL, Postgres, MySQL)• Familiarity with statistical programming languages such as SAS, R, or Stata is helpful, but not required• Strong collaboration skills and ability to work well in a team environment• Excellent verbal and written communication skills• Able to synthesize information from client and team needs into concrete, actionable work products and/or analytical plans• Strong client and team interaction skills• Critical thinker with excellent attention to detailReports to: Program ManagerWorking Conditions• Professional remote office environment• Must be physically and mentally able to perform duties for extended periods of time. Ability to use a computer and other office productivity tools with sufficient speed to meet the demands of this position• Must be able to establish a productive and professional workspace• Must be able to work varying work schedules and/or extended hours to meet business needs and project deadlines• May be asked to travel for business or professional development purposesOther Duties: Please note this job description is not designed to cover or contain a comprehensive list 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.Affirmative Action/EEO Statement: Cayuse embraces diversity and equal opportunity in a serious way. We celebrate diversity and are committed to creating and building a team that represents a variety of backgrounds, perspectives, and skills. Cayuse, and all of its subsidiaries, are proud to be an equal opportunity workplace and are an affirmative action employer .Pay RangeUSD $90,000.00 - USD $99,000.00 /Yr.Submit a Referral (https://careers-cayuseholdings.icims.com/jobs/1806/data-analyst/job?mode=apply&apply=yes&in_iframe=1&hashed=-1834356743)Location US-ID 102689Category Information TechnologyPosition Type Full-Time Salary ExemptRemote YesClearance Required Public Trust
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What You Should Know About Data Analyst, Cayuse Holdings

Are you an analytical wizard with a keen eye for trends? Cayuse Federal Services (CFS) is on the lookout for a talented Data Analyst to join our team in Charleston, WV. At CFS, we pride ourselves on delivering innovative solutions to our federal government clients, greatly enhancing their operational capabilities. As a Data Analyst, you'll be diving deep into IRS systems to help identify areas where data can enhance compliance efforts and uncover new insights on taxpayer behaviors. Your role will involve collaborating directly with government clients to not only understand their needs but also to develop effective analysis plans that influence real-world decision-making. Expect to work closely with data scientists and software developers, contributing to the creation of data pipelines and visual tools that synthesize complex information into easily digestible formats. You'll showcase your excellent communication skills by presenting your findings to stakeholders of varied technical backgrounds. This position offers a unique opportunity to take ownership of critical projects and develop high-quality deliverables with minimal supervision. If you’re ready to leverage your skills in a professional remote environment while making a significant impact, we’d love to hear from you. Join us at CFS and be part of a team that values diversity and encourages a collaborative approach to problem-solving! Your expertise can help us provide stellar data-driven recommendations that shape the future of government operations.

Frequently Asked Questions (FAQs) for Data Analyst Role at Cayuse Holdings
What are the key responsibilities of a Data Analyst at Cayuse Federal Services?

As a Data Analyst at Cayuse Federal Services, you will be responsible for meeting with government clients to identify their business needs, conducting exploratory data analyses using large-scale data sources, and developing actionable recommendations based on your findings. You'll also collaborate with teams of data scientists and software developers to create data pipelines and tools for visualization, ensuring your results effectively communicate the insights derived from complex datasets.

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What qualifications are required to apply for the Data Analyst position at Cayuse Federal Services?

To be eligible for the Data Analyst role at Cayuse Federal Services, you should possess at least a Bachelor’s degree in a quantitative field such as Economics, Statistics, or Computer Science, along with two to five years of relevant professional experience. Additionally, you will need a solid understanding of data constructs, analytical methods, and programming languages such as Python or PL/SQL, and the ability to obtain a Federal Public Trust Clearance.

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What skills will I need to succeed as a Data Analyst at Cayuse Federal Services?

Success as a Data Analyst at Cayuse Federal Services requires strong analytical skills combined with proficiency in programming languages, experience working with structured databases, and familiarity with data visualization tools. Additionally, you should have excellent communication skills to convey complex analytical concepts to both technical and non-technical stakeholders and possess a collaborative mindset to work effectively within teams.

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How does Cayuse Federal Services support the professional development of its Data Analysts?

Cayuse Federal Services emphasizes the importance of continuous learning and professional growth for its Data Analysts by providing opportunities for training, attending industry conferences, and participating in professional development programs. The collaborative environment also encourages knowledge sharing and peer support, ensuring all team members can enhance their skills and advance their careers.

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What is the work environment like for a Data Analyst at Cayuse Federal Services?

The work environment for a Data Analyst at Cayuse Federal Services is primarily remote, promoting flexibility while maintaining professionalism. Analysts are expected to establish a productive workspace and must be adaptable to varying schedules and deadlines. The company prioritizes employee well-being, ensuring that all staff can perform their duties comfortably and efficiently.

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Common Interview Questions for Data Analyst
Can you describe your experience with large-scale data analysis?

When answering this question, highlight specific projects where you utilized large datasets. Discuss the methodologies you applied, the types of data sources you worked with, and the outcomes of your analyses. Emphasize your problem-solving skills and how your insights were valuable to stakeholders.

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What programming languages and tools have you used for data analysis?

Be prepared to mention specific programming languages like Python, SQL, or R, providing examples of how you utilized these tools in past projects. Discuss any data visualization tools you've used, such as Tableau or Power BI, and explain how they complemented your analytical work.

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How do you ensure the accuracy of your data analysis?

Explain your process for validating data sources and results. Discuss techniques you use for cross-checking data, performing quality assurance, and any statistical methods to ascertain accuracy. It's essential to demonstrate your attention to detail and commitment to delivering reliable results.

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How have you communicated complex analytical concepts to stakeholders?

Describe your approach to tailoring communication based on the audience's technical background. Provide examples of how you've simplified complex data findings into clear, actionable recommendations through reports or presentations that were well received by stakeholders.

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What strategies do you use for problem-solving during data analysis?

Share a structured problem-solving approach you follow, such as defining the problem, gathering relevant data, analyzing alternatives, and implementing solutions. Include a real-life example to illustrate how you effectively navigated a challenging situation.

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Tell me about a time you worked on a team for a data analysis project.

Reflect on a specific team project, highlighting your role, contributions, and collaboration. Discuss how you communicated with team members, balanced responsibilities, and addressed any challenges that arose, showcasing your teamwork skills and ability to adapt.

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What experience do you have with data visualization?

Share any data visualization tools you've used, such as Tableau or Power BI. Discuss how visual representation enhances data interpretation, and provide examples of how effective visualizations led to impactful decision-making and insight sharing.

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How do you stay current with developments in data analytics?

Mention any blogs, forums, or publications you follow to keep abreast of industry trends and advancements in data analytics. Discuss courses, webinars, or communities you participate in to further your learning and expand your skillset.

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Why are you interested in working for Cayuse Federal Services?

Express your admiration for Cayuse Federal Services' commitment to innovative solutions and collaboration with government clients. Highlight how their values and mission align with your professional goals and why you believe your skills would contribute to their success.

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What do you think is the most important quality for a Data Analyst?

Discuss qualities such as critical thinking, attention to detail, or strong communication skills. Explain why you believe these traits are essential for a Data Analyst's success, providing examples from your experience that illustrate how you've embodied these qualities.

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Grow the Company, Grow the PeopleCayuse aims to create a seven-generation company to build a sustainable enduring legacy.We believe in value through innovation which is evident in our company core values."value through innovation"

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Full-time, remote
DATE POSTED
December 12, 2024

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