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Data Analyst II-536262

The Program Development, Coordination, and Support Directorate is responsible for the design, coordination, and management of OBO’s construction and renovation programs.

 The Department of State (DOS), Bureau of Overseas Buildings Operations, Directorate of Project Development, Coordination and Support, Office of Cost Management (OBO/PDCS/COST), requires cost estimating services to complete the task requirements stated below.

The ideal candidate is 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. The Data Analyst 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; have a proven ability to drive business results with their data-based insights; and be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

 

Managing Data Analytics

  • Makes recommendations on analytical, statistical, and programming techniques necessary to collect, organize, analyze, and interpret commonplace data The work allows for the use and analysis of data and analytics for decision-making in the Department.
  • Works and provides input on cross-functional teams, staffed by direct hires and contractors, that include product owners, designers, developers, researchers to develop data-driven solutions that address business and user challenges.
  • Uses statistical tools and will assist the team with advanced analytics such as artificial intelligence, machine learning and natural language processing for analyzing data sets. Codes with languages such as python or R and uses SQL and SharePoint and other data processing and analytics tools and software to analyze data sets and uses data visualization tools such as MS Power BI, MS Excel, and others to generate reports and develop compelling stories that convey statistical or technical information to non-technical audiences.
  • Uses analytical techniques to develop computational algorithms and statistical methods that find patterns and relationships in large volumes of data and from those patterns develops findings, inferences, conclusions, and recommendations.Translates the results of analysis into clear, actionable communications that equips team members and decisions makers to make informed, data-driven decisions.
  • Willing to learn MS Power Automate and MS PowerApps, tools for integrating Microsoft software together and custom-building solutions for data gathering,

 

Utilization and Support of Data

    • Participates in discovery processes with business owner teams and stakeholders to identify requirements, expected outcomes for new or existing initiatives, and the measurements of
    • Works alongside other senior data scientists, data analysts, program analysts, and others to recommend technical and analytical solutions that meet requirements for decision-making.
    • Interacts with internal customers and colleagues to understand business processes, gather requirements, and recommends analysis methodologies.
    • Works with the team to identify data that are available and relevant, including internal and external data sources, leveraging existing data collection processes, and performing and participates as a team member on all phases of the systems development life cycle required in the design, development, and implementation of features enabling data access.
    • Provides strategic and technical guidance and hands-on support in the transfer and transformation of any required Identifies, adapts, and manages changes to products or programs in response to evolving user needs.
    • Recommends usage and access control policies and systems in collaboration with system security design staff and stakeholders in continuous improvement processes impacting data quality, performance enhancements, and overall user experience.
    • Works with senior data scientists who directs internal and external process or system reviews, studies and data validation efforts which provide a means for evaluating system performance and vulnerabilities.
  • Must be a US citizen.
  • Ability to communicate orally and in writing on highly complex, controversial, and time- sensitive matters to diverse audiences within all levels of the organization.
  • Ability to deliver sensitive/difficult information
  • Client-success oriented
  • Ability to think strategically, assess problems and solve them with a sense of
  • Ability to motivate a team to work together in the most efficient
  • Ability to effectively analyze and extract insights from structured and unstructured data and apply solutions.
  • Proficiency in handling imperfections in
  • Level of comfort in participating as a change-agent role within the
  • Passion and curiosity for understanding business processes and systems for the associated
  • Ability to develop a general working knowledge of the technical domain to effectively support technical risks that may arise.
  • Experience and capabilities in the use of Microsoft Office Suite (Word, PowerPoint, and advanced use of Excel) and Data Analysis and Manipulation tools such as Power BI, R, Python, etc.
  • Data Analyst II - A bachelor’s degree from an accredited institution and five (5) years of related experience

Average salary estimate

$80000 / YEARLY (est.)
min
max
$70000K
$90000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Analyst II-536262, Delaware Nation Industries

Are you ready to dive deep into the world of data? At the Department of State, specifically within the Bureau of Overseas Buildings Operations, we're on the lookout for a passionate Data Analyst II. In this exciting role, you will play a critical part in our Program Development, Coordination, and Support Directorate, where you will be using your expertise to drive insights from large datasets. Imagine yourself being the go-to person for data-driven recommendations, partnering closely with cross-functional teams comprised of product managers, developers, and analysts. Your mission? To transform complex data into clear narratives that help guide our decisions. Whether you're recommending analytical techniques or using advanced tools like AI and machine learning, your influence will be felt in every corner of the organization. You'll be building models, creating algorithms, and using tools such as Python, R, SQL, and Power BI to craft visually compelling reports. With five years of experience and a degree under your belt, you’ll thrive in a collaborative environment and enjoy the challenge of uncovering hidden solutions in extensive data sets. If you're excited about enhancing business outcomes and making data accessible and understandable for all, then this role could be your perfect fit. Join us at the forefront of data analysis where your analytical mind and creative problem-solving skills can shine and make a real difference!

Frequently Asked Questions (FAQs) for Data Analyst II-536262 Role at Delaware Nation Industries
What are the main responsibilities of a Data Analyst II at the Department of State?

As a Data Analyst II at the Department of State, your key responsibilities will include analyzing large datasets, making recommendations on statistical techniques, collaborating with cross-functional teams, and implementing data-driven solutions. You'll leverage tools and programming languages like Python and R to extract insights, develop computational algorithms, and translate complex analysis into actionable communications for stakeholders.

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What qualifications do I need to apply for the Data Analyst II position at the Department of State?

To be eligible for the Data Analyst II position at the Department of State, candidates need a bachelor’s degree from an accredited institution and at least five years of relevant experience. Proficiency in data analysis tools such as Power BI, SQL, R, and Python is also required, alongside strong analytical skills and the ability to communicate complex information clearly to diverse audiences.

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What tools and technologies will a Data Analyst II use at the Department of State?

A Data Analyst II at the Department of State will use a variety of tools and technologies including SQL, Python, R, Power BI, and Microsoft Office Suite. Advanced analytics methods like machine learning and natural language processing will also be a major part of the role, alongside data visualization tools to present findings effectively.

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How does collaboration work for the Data Analyst II role at the Department of State?

In the Data Analyst II role at the Department of State, collaboration is key. You'll work closely with product owners, designers, developers, and fellow analysts to develop data-driven solutions. This cross-functional teamwork ensures that the insights derived from data meet both business needs and user challenges efficiently.

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What skills are essential for success as a Data Analyst II at the Department of State?

Essential skills for success as a Data Analyst II at the Department of State include strong analytical capabilities, proficiency in data mining techniques, expertise in programming languages like Python and R, and excellent communication skills. Additionally, being client-success oriented and having a keen eye for detail in extracting insights from complex datasets will be crucial.

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Common Interview Questions for Data Analyst II-536262
Can you describe your experience with data analysis and the tools you have used?

In responding to this question, focus on specific examples from your past roles. Mention the tools you've used, such as SQL, R, or Python, and explain how you applied them to analyze data. Discuss the type of data sets you worked with and the insights you generated that influenced decision-making.

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How do you approach problem-solving when faced with complex data sets?

When answering this question, outline your step-by-step approach. Start with understanding the business problem, gathering relevant data, and applying analytical techniques. Highlight your ability to extract actionable insights and how you communicate findings to stakeholders, particularly non-technical ones.

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What methods do you use for data visualization, and why are they important?

Discuss the various data visualization tools you are proficient with, such as Power BI or Excel, and explain how they help convey insights effectively. Emphasize the importance of visual storytelling in making data accessible and understandable for decision-makers.

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Can you give an example of how you used statistical analysis to drive business decisions?

Provide a concrete example demonstrating your statistics skills. Describe the specific analysis you performed, the models you built, and how the insights shaped business strategy or decisions. Highlight the impact of your contributions on the organization.

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How do you ensure data accuracy and quality in your analyses?

In your answer, emphasize the methodologies you use to validate data, such as cross-referencing data sources or applying data cleansing techniques. Discuss your attention to detail and how maintaining data integrity is critical to producing reliable results.

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Describe a challenging data analysis project you worked on and what you learned from it.

Share a specific project example that includes the challenge you faced, the analytical approach you took, and the outcome. Reflect on what you learned, including any skills you developed or improvements you would make in future projects.

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How do you stay updated on the latest trends in data analytics?

Discuss the ways you keep abreast of advancements in data analytics, such as attending conferences, participating in webinars, or following industry publications. Highlight your eagerness to continuously learn and adapt to ensure your skills remain relevant.

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What role does teamwork play in your work as a data analyst?

In your response, talk about the collaborative nature of data analysis work, emphasizing your experience working in cross-functional teams. Share how effective teamwork leads to enhanced problem-solving and ensures that insights are closely aligned with business goals.

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Explain the importance of SQL in your daily tasks as a data analyst.

Describe how SQL is a fundamental tool for extracting, manipulating, and analyzing data within databases. Highlight your proficiency with SQL queries and how it enables you to access and work with large datasets efficiently, providing insights that drive business processes.

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What steps do you take to communicate complex data findings to non-technical stakeholders?

Explain your approach to simplifying complex data findings, like using clear visuals, relatable examples, and avoiding jargon. Share how you tailor your communication style based on your audience and ensure that your insights drive informed decisions.

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DATE POSTED
April 10, 2025

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