The Code3 Data Analyst interview guide, interview questions, salary data, and interview experiences.

Code3 Data Analyst Interview Guide

Getting ready for an Data Analyst interview at Code3? The Code3 Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Code3 Data Analyst roles.</li>
<li>Gain insights into the Data Analyst interview process at Code3.</li>
<li>Practice real Code3 Data Analyst interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Code3 Data Analyst interview.


Getting ready for an Data Analyst interview at Code3? The Code3 Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Code3 Data Analyst roles.
- Gain insights into the Data Analyst interview process at Code3.
- Practice real Code3 Data Analyst interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Code3 Data Analyst interview.
        

Overview

Code3 Data Analyst Salary

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Code3 Data Analyst Interview Process

As part of the financial management in a large corporation, the CFO wants to review the expenses in all departments for the previous financial year (2022).

Write a SQL query to calculate the total expenditure for each department in 2022. Additionally, for comparison purposes, return the average expense across all departments in 2022.

Note: The output should include the department name, the total expense, and the average expense (rounded to 2 decimal places). The data should be sorted in descending order by total expenditure.

<h3>Example:</h3>

Input:

<code>departments</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>name</td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
<code>expenses</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>department_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>amount</td>
<td>FLOAT</td>
</tr>

<tr>
<td>date</td>
<td>DATE</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>department_name</td>
<td>VARCHAR</td>
</tr>

<tr>
<td>total_expense</td>
<td>FLOAT</td>
</tr>

<tr>
<td>average_expense</td>
<td>FLOAT</td>
</tr>
</tbody>
</table>

Calculate total and average expenses for each department.

Department Expenses

Let’s say that you’re a data scientist at Robinhood. 

How do we measure the launch of Robinhood’s fractional shares program?

Let’s say you are a data scientist at Robinhood.

Robinhood is introducing a program to allow users to buy fractional shares of publically listed companies.

Focusing in on the activity of new users, which of the following metrics would be the LEAST important to keep track of in determining if the program added value to Robinhood’s platform for new users?

Let's say you are a data scientist at Robinhood. 



Robinhood is introducing a program to allow users to buy fractional shares of publically listed companies.



Focusing in on the activity of new users, which of the following metrics would be the LEAST important to keep track of in determining if the program added value to Robinhood's platform for new users?

Fractional Shares Metrics

Fractional Shares

The probability that it will rain tomorrow is dependent on whether or not it is raining today and whether or not it rained yesterday.

If it rained yesterday and today, there is a 20% chance it will rain tomorrow. If it rained one of the days, there is a 60% chance it will rain tomorrow. If it rained neither today nor yesterday, there is a 20% chance it will rain tomorrow.

Given that it is raining today and that it rained yesterday, write a function <code>rain_days</code> to calculate the probability that it will rain on the nth day after today.

Example:

Input:

<pre tabindex="0" class="chroma"><code>n=5
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def rain_days(n) -&gt; 0.39968
</code></pre>

Given that it is raining today and that it rained yesterday, write a function to calculate the probability that it will rain on the nth day after today.

Rain in N Days

Code3 Data Analyst Interview Questions

CDW is pleased to be partnering with our Seattle based client on this new Junior Data Analyst opportunity. Please find the details below and apply if interested! Title: Junior Data Analyst Location: Seattle, WA 98122Hybrid role – 2 days per week onsiteContract Duration: 9 monthsPay Rate: $40 per hour Client Notes:- Oracle and Power BI, SQL- 2-4 years analytics experience- Data warehouse clean up and creating better visual reports- Flexible hybrid work schedule Job Description:We are looking for a motivated Junior Data Analyst with a focus on MySQL to join our data analytics team. In this role, you will support the team by analyzing data, preparing reports, and ensuring the integrity of the database systems. You will work closely with different departments to understand their data needs and provide meaningful insights that drive business decisions. Key Responsibilities:<ul><li>Data Extraction & Analysis: Utilize MySQL to extract, clean, and analyze large datasets.</li><li>Reporting & Visualization: Prepare detailed reports and data visualizations to present findings to key stakeholders.</li><li>Database Management: Ensure data accuracy and integrity in MySQL databases by performing regular audits and data quality checks.</li><li>Data Queries: Write complex SQL queries to gather specific data for analysis and troubleshooting.</li><li>Collaboration: Work with cross-functional teams to understand business requirements and provide data-driven insights.</li><li>Automation: Assist in creating automated solutions for recurring reporting needs.</li><li>Documentation: Maintain clear documentation of processes, queries, and results for future reference.</li></ul> Qualifications: Experience: Minimum of 2 years of experience as a Data Analyst, with a strong focus on MySQL. Technical Skills:<ul><li>Proficient in MySQL (query writing, database management, data manipulation).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.</li><li>Basic knowledge of data warehousing and ETL processes.</li><li>Analytical Skills: Strong analytical and problem-solving abilities with attention to detail.</li><li>Communication: Excellent verbal and written communication skills to present data findings to non-technical stakeholders.</li><li>Team Player: Ability to work effectively in a collaborative environment.</li></ul> Preferred Qualifications:<ul><li>Experience in other database technologies (e.g., PostgreSQL, SQL Server) is a plus.</li><li>Familiarity with programming languages such as Python or R for data analysis.</li><li>Experience in data cleaning, normalization, and transformation processes.</li></ul>

Job Summary: We are seeking a highly skilled and motivated Technical Data Analyst with a strong background in quantitative data analysis and technical expertise in data warehousing, SQL, and analytical tools. The ideal candidate will have a proven ability to manage and analyze large datasets, leverage AWS services, and communicate complex data insights effectively to both technical and non-technical stakeholders. Key Responsibilities:<ul><li>Perform end-to-end quantitative and qualitative analysis on large datasets to derive meaningful insights and support business decision-making.</li><li>Develop complex SQL queries from scratch to extract, segment, and aggregate data from data warehouses.</li><li>Utilize data query and processing tools/systems, including relational, NoSQL, and stream processing databases.</li><li>Collaborate closely with cross-functional teams to understand data needs and design effective data models.</li><li>Use AWS services such as Redshift and Athena, and demonstrate an understanding of AWS core concepts to optimize data operations.</li><li>Implement and manage data modeling techniques using tools such as Python, R, and PyCharm.</li><li>Present complex technical information in a clear and concise manner to executives and non-technical stakeholders.</li><li>Work independently as a self-starter, applying critical thinking and creativity to solve problems.</li><li>Stay curious and continuously improve processes by learning new techniques and technologies.</li><li>Quickly adapt and get up to speed on business systems such as Salesforce, Amazon Connect, and EWFM, and understand their data architecture and interactions.</li></ul> Qualifications:<ul><li>Experience: 5+ years in quantitative data analysis, data engineering, or a related field.</li><li>Education: Technical undergraduate degree in Engineering, Computer Science, Statistics, Analytics, or equivalent experience.</li></ul> Technical Skills:<ul><li>Advanced SQL proficiency</li><li>Experience with AWS (Redshift, Athena) and core AWS concepts</li><li>Knowledge of data query and data processing systems (relational, NoSQL, stream processing)</li><li>Familiarity with data modeling techniques</li><li>Experience with analytical tools like Python, R, or PyCharm</li></ul>

Job Title: Senior Business & Data AnalystLocation: Atlanta, GA Job Summary:We are looking for a Senior Business & Data Analyst to join our dynamic team. This role is critical in bridging the gap between business needs and technical solutions, leveraging data to drive strategic decisions. The ideal candidate will possess extensive experience in database architecture, ETL processes, and strong business analysis capabilities, coupled with exceptional communication skills. Key Responsibilities:• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for data solutions.• Design, implement, and maintain enterprise-level database architectures that align with business objectives.• Utilize ETL tools and techniques to extract, transform, and load data from multiple sources, ensuring data integrity and accuracy.• Conduct in-depth data analysis to identify trends, patterns, and insights that support strategic decision-making.• Develop and maintain comprehensive documentation, including business requirements, data dictionaries, and process flows.• Present findings and recommendations to stakeholders through clear, concise reports and visualizations, ensuring effective communication of complex data concepts.• Work closely with data engineers and developers during the design and implementation phases of data projects to ensure alignment with business needs.• Identify opportunities for process optimization and efficiency improvements through data analysis and reporting.• Mentor junior analysts and provide guidance on best practices in data analysis and business intelligence. Qualifications:• Bachelor’s degree in Business Administration, Data Science, Information Technology, or a related field; Master’s degree preferred.• 5+ years of experience as a Business Analyst, Data Analyst, or in a similar role, with a focus on data-driven decision-making.• Proven experience with enterprise-level database architecture and management.• Strong familiarity with ETL tools (e.g., Talend, Informatica, SSIS) and data integration techniques.• Proficient in SQL and experience with data visualization tools (e.g., Tableau, Power BI).• Excellent analytical and problem-solving skills, with a strong attention to detail.• Outstanding written and verbal communication skills, with the ability to effectively present complex information to diverse audiences.• Strong organizational skills and the ability to manage multiple priorities in a fast-paced environment.

Do you enjoy analyzing financial data to be able to understand and more importantly tell the story of what is occurring? A stable, fast-paced healthcare organization that is committed to innovation and integrity is seeking a Sr. Financial Data Analyst to join their team in Las Vegas. This role will provide analytical insights to support executive-level, strategic decisions and bring values for shareholders and clinicians. You will receive excellent support and mentoring and most importantly an opportunity to grow into senior level roles! You will also receive strong company benefits, 401k and company performance-based bonus opportunity. This role supports $100 million revenues and over 125 physicians and you will manage, extract and analyze various data sets to include but not limited to physician compensation, scheduling, profit and loss, services and all operational components to help the leadership team understand the drivers of success and opportunities for enhancements. Additionally, you will: <ul><li>Aggregate and analyze performance and financial data</li><li>Attend various leadership and regional board meetings to review the information and tell the story.</li><li>Assist in monthly, quarterly and annual close process </li><li>Prepare financial reports and presentations as well as financial analyses, (trending analysis, efficiency metrics), and other ad hoc projects</li></ul> We are seeking a candidate who has a bachelor’s degree in finance, Business Analytics, Accounting, or related area and at least 5+ years of financial analytical experience in the healthcare or medical industry. You should be comfortable with and can draw, understand and easily share conclusions from the data. It would be incredibly helpful for you to have experience with Hyperion, Power BI and Tableau. We are an equal opportunity employer who values diversity. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

Straight Arrow News is seeking a Data Analyst to join our growing team. We’re on a mission to raise the bar on journalism, and delivering world-class digital products is key in fulfilling that mission. As a Data Analyst at Straight Arrow News, you will be part of a dynamic and innovative team that is constantly seeking to improve the news media industry and deliver news to viewers in innovative ways. Your work will involve analyzing and reporting on SAN audience data and providing executive management with insights and recommendations based on data.The ideal candidate will have a passion for turning complex data into actionable insights that can shape digital strategies. Responsibilities<ul><li>Data Analysis & Insight Generation: Leverage digital analytics data from various web analytics platforms (e.g., Google Analytics, AppsFlyer, Amplitude) to extract insights that drive user engagement, optimize content strategies, and identify growth opportunities.</li><li>Automated Reporting & Visualization: Develop and maintain automated dashboards and reports using tools such as Google Data Studio to provide stakeholders with up-to-date insights into key performance metrics.</li><li>Deep Analysis of User Behavior: Analyze user data to uncover critical insights, including identifying factors that contribute to user retention and engagement.</li><li>Data Cleaning & Transformation: Conduct data cleaning, transformation, and integration from various sources, ensuring data accuracy and consistency for analysis.</li><li>Collaboration with Cross-Functional Teams: Work closely with product, marketing, and content teams to translate data insights into actionable recommendations that support business goals and improve user experiences.</li><li>A/B Testing & Experimentation: Design, implement, and analyze A/B tests to assess the impact of new features, content strategies, and product changes.</li><li>Data Integrity & Quality Assurance: Ensure the accuracy and integrity of data through regular audits, identifying any inconsistencies and collaborating with tech teams to address them.</li><li>Predictive Modeling & Machine Learning: Implement light machine learning models and predictive analytics to forecast user trends, enhance targeting strategies, and inform data-driven decision-making.</li></ul> Required Qualifications<ul><li>Bachelor’s Degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.</li><li>3+ years of experience in data analysis in a digital media or tech environment.</li><li>Expertise with web analytics platforms, such as Google Analytics, Adobe Analytics, Mixpanel, Amplitude, or similar.</li><li>Experience with app analytics and event tracking for mobile applications.</li><li>Strong skills in SQL for querying databases and Python or R for data manipulation and analysis.</li><li>Experience with data visualization tools like Google Data Studio, Tableau, or Power BI.</li><li>Solid understanding of data analysis techniques, including regression analysis, segmentation, and cohort analysis.</li><li>Ability to derive actionable insights from complex datasets and effectively communicate findings to non-technical stakeholders.</li><li>Strong problem-solving skills and attention to detail.</li><li>Proficiency in internet consumer data privacy matters, including consent management.</li><li>Excellent communication and collaboration skills, with the ability to present findings and recommendations to both technical and non-technical stakeholders.</li></ul> Preferred Qualifications<ul><li>Master’s Degree in Data Science, Analytics, or a related field.</li><li>Experience with predictive modeling and light machine learning, using libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Experience with A/B testing frameworks and statistical analysis of experiment results.</li><li>Knowledge of data engineering concepts and experience working with cloud data warehouses like BigQuery, Snowflake, or Redshift.</li><li>Experience working in agile project management environments and using tools like JIRA or Asana.</li><li>Certification in web analytics platforms, such as Google Analytics Individual Qualification (GAIQ).</li></ul>

WHO WE ARE Whether in your home, office, or out in your community, the walls that surround you must be safe, structurally sound, and sustainable. It’s our job to make that happen. The National Institute of Building Sciences is an independent 501(c)(3) non-profit, non- governmental organization that supports advances in building science and technology. We were established by the U.S. Congress in the Housing and Community Development Act of 1974, Public Law 93-383. Congress recognized the need for an organization to serve as an interface between government and the private sector – one that serves as a resource to those who plan, design, procure, construct, use, operate, maintain, renovate, and retire physical facilities. We bring together experts from throughout the building industry, design, architecture, construction, and government. We lead conversations to ensure our buildings and communities remain safe, and we work to seek consensus solutions to mutual problems of concern. SUMMARY The Data Analyst at the National Institute of Building Sciences plays a crucial role in shaping and enhancing the organization's data strategy and integration with existing systems for various public and private clients. Working closely with program sponsors, stakeholders, and cross-functional teams, the Data Analyst ensures that data projects are delivered on time, within budget, and meet quality standards. This position involves defining data requirements, creating governance frameworks, developing tools to prototype new capabilities, and providing recommendations for client system integrations to empower new workflows. The role demands strong analytical skills, proficiency in data manipulation, and a solid understanding of data governance principles. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. <ul><li>Provide advice on optimizing and establishing organizational data strategies. </li><li>Recommend strategies for the integration of new systems with existing platforms, technologies, workflows, and IT infrastructure. </li><li>Define and recommend general and specific data requirements to support organizational objectives. </li><li>Generate and maintain frameworks to guide data governance norms across the organization. </li><li>Support and document interoperability and data exchanges between various systems. </li><li>Develop new tooling workflows and generate code as necessary to prototype new capabilities and improve existing processes. </li><li>Create and manage test datasets and real-world scenarios for process evaluation and system testing. </li><li>Design and execute data manipulation workflows to support efficient project delivery. </li><li>Maintain and update organizational dashboards for real-time data visualization and decision-making support. </li><li>Manage and ensure that data pipelines are integrated and not operating in silos. </li><li>Assume responsibility for development projects individually and as part of a team as assigned. </li><li>Define project deliverables and milestones and monitor progress to ensure timely and successful delivery. </li><li>Define project requirements and work with stakeholders to ensure alignment with business objectives and strategic goals. </li><li>Coordinate project resources to ensure efficient and effective use of resources. </li><li>Establish and maintain effective communication and collaboration with project sponsors, stakeholders, cross-functional teams, and external partners </li><li>Facilitate project meetings, workshops, and other collaborative sessions to drive project success and alignment. </li><li>Provide regular status updates and reports to project sponsors and stakeholders, including progress, issues, risks, and budget status. </li><li>Monitor industry best practices, state-of-practice approaches, and evolving technology/methods; alert NIBS team members to new developments and tools available. </li><li>Attend professional meetings, seminars, and training courses to maintain state-of-the-art knowledge of technical advances and applications. </li><li>Work as part of a team and collaborate with team members daily. </li><li>Address, support, and adhere to privacy, security, and data protection concerns within data handling processes. </li><li>Regularly update and maintain project metrics to reflect current statuses and outcomes. </li></ul> SUPERVISORY RESPONSIBILITIES Not applicable. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. EDUCATION and/or EXPERIENCE <ul><li>Must possess, at a minimum, five years of relevant experience and a bachelor’s degree from an accredited institution recognized as such by the U.S. Department of Education. Minimum five years’ experience can include managing and planning development projects in the industry of the built environment; documenting business requirements, processes, and procedures; and communicating effectively required </li><li>Has experience in the following areas: </li><li>Databases and data management systems such as SQL, NoSQL, and cloud-based data solutions like AWS, Azure, or Google Cloud. </li><li>Using data visualization tools such as Tableau, Power BI, or similar platforms to create insightful dashboards. </li><li>Documenting business and data processes via graphical and written interfaces such as Visio, Mural, Miro, or ARIS. </li><li>Project management methodologies and tools, including project planning, scheduling, resource management, risk management, and budgeting. </li></ul> Preferred experience: <ul><li>Developing environments for, testing, and training Artificial Intelligence models. </li><li>With data integration tools such as FME, Apache NiFi, Talend, or Informatica. </li><li>Involving building design, construction, or operations. </li><li>Building tools with Google Suite. </li></ul> TECHNICAL and OTHER SPECIALIZED SKILLS and ABILITIES <ul><li>Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. </li><li>Understanding of data governance principles and practices to ensure data integrity and compliance. </li><li>Ability to program in languages such as Python, R, JavaScript, and/or C++ to develop tools and automate data processes. </li><li>Capable of managing projects, coordinating with different teams, and ensuring timely delivery of data-related tasks. </li><li>Highly capable and willing to work in a collaborative team environment, with a focus on positive relationship building. </li><li>Excellent problem-solving abilities to address challenges in data management and integration. </li><li>Must be highly organized. </li><li>Agile and adaptable work style. </li><li>Excellent written and graphical communication skills (reports, correspondence, proposals, presentations, verbal and non-verbal, etc.). </li><li>Knowledge of relevant data privacy and protection laws and regulations to ensure compliance in data handling and storage. </li><li>Knowledge of Building Information Modeling (BIM) processes preferred. </li><li>Knowledge of BIM tools and technologies such as Revit, CAD, Navisworks, and BIM 360 (or comparable tools) preferred. </li></ul> BENEFITS NIBS offers a competitive benefits package, including fully paid health care premiums for medical, dental, and vision. NIBS is also primarily a remote work environment with lucrative paid time off benefits. HOW TO APPLY If you feel you are a great fit for this role, please send your resume, cover letter, and salary requirement to jobs@nibs.org today!

Data Analyst Location: Seattle, WaDuration: 10/15/24 - 4/14/2025Pay Range: $32/hr - $35/hr This Position will be Responsible For: • Support effective decision-making through technical, financial and market analysis of service offered and industry served by cloud service providers, including data mapping, price and cost modeling, and comparative analysis.• Support the comparative analysis, research, and reporting efforts for the competitive intelligence.• Design and coordinate the development of systems and tools to keep pace with the groups growing and rapidly changing businesses. Job Qualifications: • Undergraduate degree in business, finance, engineering, or a related field. A graduate degree (MBA or equivalent) and 3-6 years of capacity experience.• Strong analytic skills and a demonstrated ability to build and manage financial models for business forecasting, variance analysis, and problem solving.• Direct experience in operations or capacity planning a plus.• Fluency in standard software including MS Excel. Knowledge of SQL is a strong plus.• Strong communication skills - both written and verbal.• Successful characteristics for the position are the ability to maintain a high level of attention to detail, the ability to work independently, adjust priorities, and work in a continuously changing environment.

Job SummaryAs affiliates of the PCI Federal Services group of companies, PCI Government Services LLC has a passion for our team members and their personal mission for success. We offer excellent insurance, leave and developmental benefits along with some flexibility for remote work opportunities. Come join our organization and be part of an exciting team supporting our Federal, DoD and Private Sector customers. Duties and ResponsibilitiesThis position requires employees to be located in the Huntsville, AL area in order to report to work on-site at Redstone Arsenal. A relocation bonus will be provided for qualifying candidates. <ul><li>Provide highly complex data mining, statistical analysis, trend analysis, and causal analysis.</li><li>Perform as a technical lead responsible for monitoring and providing monthly contract reports and deliverables.</li><li>Responsible for integrating multiple disciplines in an operations research team and translating applicable methods into language and application understandable by operational managers throughout the organization. T</li><li>Review and provide quality control methods on products.</li><li>Prepare and update training materials to ensure newly assigned personnel gain an understanding of key analytic tools, procedures, and methodologies used.</li><li>Take structured and unstructured data and distill the information into a cohesive analytical product for a contracting functional business area audience.</li><li>Support pattern analysis methods to formulate recommendations to operational managers based upon exploiting patterns in the past, current, and anticipated operational environment.</li></ul> Qualifications<ul><li>Must be located in the Huntsville, AL area.</li><li>Must have an active Secret Security Clearance.</li><li>8 plus years in a technical field</li><li>BA/BS required</li><li>BS in computer science, engineering, applied mathematics, statistics, or a related field preferred.</li><li>Power BI, Data mining, data manipulation, reporting experience required</li><li>Have experience advising senior DoD decision makers on methodologies, results, and conclusions from applied operations research. The primary tools used for research services include, but are not limited to, Logistics Management Program, Vantage, Virtual Contracting Enterprise, General Fund Enterprise Business System (GFEBS), SAP Business Objects/Web Intelligence Reports, Microsoft SharePoint, Army-specific contract writing systems (Procurement Desktop Defense (PD2) and Procurement Automated Data and Document System (PADDS)), and various Government and Commercial business process automation systems.</li><li>Personnel should have strong data manipulation and problem-solving skills.</li><li>Must have strong technical skills in areas such as statistics, programming languages like R or Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation</li><li>Have good communication skills and problem-solving ability</li></ul> Physical RequirementsThe physical demands described herein are representative of those which may need to be met by an employee to successfully perform the essential functions of the job. Employees must possess the ability to work in an office environment.If required, employees must be able to operate a motor vehicle which may require sitting for prolonged periods of time to visit other company sites. Must have hearing and speech to communicate in person, before groups and over the telephone. Standing in work areas and walking between work areas may be required. This position may require an employee to bend, stoop, kneel, crouch, crawl, climb or balance, reach, push, and pull. The employee may also be required to lift and/or move up to 20 pounds. PCI Government Services LLC (PCI-GS) is an equal opportunity employer.PCI-GS does not discriminate on the basis of age, sex, race, national origin, religion, marital status, sexual orientation or identity, Veterans or Disability status. Preference may be extended to qualified Native American Indian candidatesin accordance with applicable federal law.

Code3 Data Analyst Interview Guide

Overview

Code3 Data Analyst Salary

Code3 Data Analyst Interview Process

Code3 Data Analyst Interview Questions

Code3 Data Analyst Jobs