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

Anser Data Analyst Interview Guide

Getting ready for an Data Analyst interview at Anser? The Anser Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Anser Data Analyst roles.</li>
<li>Gain insights into the Data Analyst interview process at Anser.</li>
<li>Practice real Anser 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 Anser Data Analyst interview.


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

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

Overview

Anser 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.

Anser 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

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

You’re given two dataframes. One contains information about addresses and the other contains relationships between various cities and states:

Example:

<code>df_addresses</code>

<table>
<thead>
<tr>
<th>address</th>
</tr>
</thead>

<tbody>
<tr>
<td>4860 Sunset Boulevard, San Francisco, 94105</td>
</tr>

<tr>
<td>3055 Paradise Lane, Salt Lake City, 84103</td>
</tr>

<tr>
<td>682 Main Street, Detroit, 48204</td>
</tr>

<tr>
<td>9001 Cascade Road, Kansas City, 64102</td>
</tr>

<tr>
<td>5853 Leon Street, Tampa, 33605</td>
</tr>
</tbody>
</table>
<code>df_cities</code>

<table>
<thead>
<tr>
<th>city</th>
<th>state</th>
</tr>
</thead>

<tbody>
<tr>
<td>Salt Lake City</td>
<td>Utah</td>
</tr>

<tr>
<td>Kansas City</td>
<td>Missouri</td>
</tr>

<tr>
<td>Detroit</td>
<td>Michigan</td>
</tr>

<tr>
<td>Tampa</td>
<td>Florida</td>
</tr>

<tr>
<td>San Francisco</td>
<td>California</td>
</tr>
</tbody>
</table>
Write a function <code>complete_address</code> to create a single dataframe with complete addresses in the format of street, city, state, zip code.

Input:

<pre tabindex="0" class="chroma"><code>import pandas as pd

addresses = {&#34;address&#34;: [&#34;4860 Sunset Boulevard, San Francisco, 94105&#34;, &#34;3055 Paradise Lane, Salt Lake City, 84103&#34;, &#34;682 Main Street, Detroit, 48204&#34;, &#34;9001 Cascade Road, Kansas City, 64102&#34;, &#34;5853 Leon Street, Tampa, 33605&#34;]}

cities = {&#34;city&#34;: [&#34;Salt Lake City&#34;, &#34;Kansas City&#34;, &#34;Detroit&#34;, &#34;Tampa&#34;, &#34;San Francisco&#34;], &#34;state&#34;: [&#34;Utah&#34;, &#34;Missouri&#34;, &#34;Michigan&#34;, &#34;Florida&#34;, &#34;California&#34;]}

df_addresses = pd.DataFrame(addresses)
df_cities = pd.DataFrame(cities)
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def complete_address(df_addresses,df_cities) -&gt;
</code></pre>

<table>
<thead>
<tr>
<th>address</th>
</tr>
</thead>

<tbody>
<tr>
<td>4860 Sunset Boulevard, San Francisco, California, 94105</td>
</tr>

<tr>
<td>3055 Paradise Lane, Salt Lake City, Utah, 84103</td>
</tr>

<tr>
<td>682 Main Street, Detroit, Michigan, 48204</td>
</tr>

<tr>
<td>9001 Cascade Road, Kansas City, Missouri, 64102</td>
</tr>

<tr>
<td>5853 Leon Street, Tampa, Florida, 33605</td>
</tr>
</tbody>
</table>

Write a function to create a single dataframe with complete addresses in the format of street, city, state, zip code.

Complete Addresses

Anser Data Analyst Interview Questions

<h3>Job Description</h3><div>Job Description<div>Company Overview:ANSER enhances national and homeland security by strengthening public institutions. We provide thought leadership for complex issues through independent analysis, and we deliver practical, useful solutions. ANSER values collaboration, integrity, and initiative and we are client focused in all that we do. Because we were established for the purpose of public service and not for profit, we measure our success in the impact of our service.Position Overview:ANSER is seeking a senior program risk analyst to review, assess, define, and provide recommendations to mitigate technical and programmatic risk. You will provide technical feedback to risk reduction activities as to their benefit and cost; and provide support with independent assessments of results of program projects conducted by the performers to help determine risk or risk mitigation strategies.Day to day responsibilities include:<ul><li>Maintain and manage relationships with senior level management within the client organization. </li><li>Ensure senior level management is aware of overall program status, including all relevant projects and their potential impact on higher level organizational strategic vision.</li><li>Manage multiple contract operations, ensures quality standards and work performance on all task orders and projects.</li><li>Plan, organize and oversee work efforts, assigns resources, manages personnel, provides risk management, ensures quality management, monitors overall project and contract performance.</li><li>Review and assess technical and programmatic risk. </li><li>Recommend risk reduction strategies including benefit and cost analysis.</li></ul>Required Qualifications:<ul><li>Bachelor’s degree in technical field such as manufacturing, computer science, engineering or other similarly related discipline.</li><li>Five (5) years progressive experience in program management, risk assessment, quality controls and assessment.</li><li>Three (3) years’ experience in the semiconductor, microelectronic or manufacturing industries. </li><li>Experience presenting findings, recommendations and solutions verbally and in writing to senior leadership and stakeholders. </li><li>Ability to obtain and maintain a SECRET security clearance.</li></ul>Preferred Qualifications:<ul><li>Prior experience working with government agencies. </li><li>Experience/knowledge of supporting policy and process improvement activities.</li></ul>In compliance with the Americans with Disabilities Act Amendment Act (ADA), if you have a disability and would like to request an accommodation in order to apply for a position with ANSER, please call 703-416-2000 or e-mail?Recruiting@anser.org.ANSER is proud to be an Equal Opportunity Employer. We seek individuals from a broad variety of backgrounds with varying levels of experience who have a desire to do meaningful work. We recruit, employ, train, compensate, and promote regardless of race, color, gender, religion, national origin, ancestry, disability, age, sexual orientation, or any other characteristic protected by law.</div></div>

Company Overview: ANSER enhances national and homeland security by strengthening public institutions. We provide thought leadership for complex issues through independent analysis, and we deliver practical, useful solutions. ANSER values collaboration, integrity, and initiative and we are client focused in all that we do. Because we were established for the purpose of public service and not for profit, we measure our success in the impact of our service. Position Overview: We are seeking a highly skilled Senior Data Scientist with a strong background in intelligence, chemical and biological threats, and artificial intelligence (AI) to lead our studies and analysis initiatives. This role will involve managing complex data projects, deep research, developing and working with advanced analytical models, and providing actionable insights to drive strategic decision-making. Day to Day Responsibilities: oversee a team of data scientists and analysts, guiding them in project planning, execution, and delivery of analytics solutions. Lead the design and implementation of advanced analytics projects, ensuring alignment with business objectives and stakeholder needs. Utilize strong problem-solving skills to conduct statistical analyses and interpret complex datasets, transforming data into meaningful insights. Work closely with cross-functional teams, including product management, engineering, and business units, to integrate data-driven solutions into operational processes. Stay abreast of the latest developments in chemical and biological threats, AI and machine learning, applying innovative techniques to enhance analytical capabilities and methodologies. Turning complex data into actionable insights, identifying trends and patterns that inform strategic decisions. As needed, oversee a team of data scientists and analysts, guiding them in project planning, execution, and delivery of analytics solutions Required Qualifications: Master's degree in related field such as IT, computer science, statistics or mathematics. 15 or more years of progressive experience as a data analyst and scientist Demonstrated understanding of intelligence, chemical and biological threats, and artificial intelligence (AI) Proficiency in prompt engineering and data visualization, along with experience in AIML frameworks (e.g., Data Abyss). Familiarity with databases and data manipulation tools (e.g., SQL, MongoDB) to manage and analyze large datasets effectively. Knowledge of various research methodologies and the ability to apply or adapt these techniques to achieve research goals. Experience in A/B testing, predictive modeling, and statistical analysis techniques. Experience documenting findings and recommendations in a clear and concise manner and presenting the complex data and insights to diverse audiences. Ability to obtain and maintain a Department of Defense SECRECT security clearance. Preferred Qualifications: Capability to make informed decisions based on research findings and data analysis Critical Thinking: Strong problem-solving capabilities to evaluate information critically and make informed recommendations. Excellent communication and teamwork abilities, with a knack for translating complex data findings into actionable business strategies. Experience in leading data science projects within an intelligence, threat, or AI-focused environment. Knowledge of DoD and IC techniques and specific applications of data science and AI, particularly in areas such as threat horizon scanning, market analysis, ally, peer, and competitor technology and threat analysis. In compliance with the Americans with Disabilities Act Amendment Act (ADA), if you have a disability and would like to request an accommodation in order to apply for a position with ANSER, please call 703-416-2000 or e-mail:Recruitinganser.org. ANSER is proud to be an Equal Opportunity Employer. We seek individuals from a broad variety of backgrounds with varying levels of experience who have a desire to do meaningful work. We recruit, employ, train, compensate, and promote regardless of race, color, gender, religion, national origin, ancestry, disability, age, sexual orientation, or any other characteristic protected by law.

<h3>Job Description</h3><div>Job Description<div>Hi,Our client is looking for a Data Engineer with a Long-Term Contract project in Chicago, Illinois below is the detailed requirement.Position: Data EngineerLocation: Chicago, Illinois (Hybrid Remote)ContractJob description:<ul><li>Develop Data Visualization dashboards using data in AWS Data Lake.</li><li>Partner with other developers within the team to source data.</li><li>Find ways to join disparate data sources to produce content.</li><li>Challenge how data is being rendered today and determine ways to provide meaningful insights to end-users.</li><li>Create dashboards that adhere to strict security access and entitlement standards.</li><li>Work on an Agile team to deliver Jira story requirements in sprints.</li><li>Ability to work well with others, including non-technical associates, to understand business requirements and translate that into application functionality.</li></ul><ul><li>Partner with developers to gauge report performance and optimize query return time.</li><li>Support product owner in defining future stories and tech lead in defining technical designs.</li><li>Participates in the design conversations; convey ideas within group, train, and outside of train.</li></ul>Competencies Knowledge, Skills, Abilities<ul><li>Candidate must have a can-do attitude and strong analytical skills.</li><li>Must have excellent communication skills.</li><li>Candidate must understand and have experience in all phases of the SDLC.</li><li>Demonstrated expertise in PowerBI, with 5 or more years of experience.</li><li>Possess a good knowledge of RDBMS and show proficiency in SQL.</li><li>Hands-on experiences with JIRA, BitBucket (or similar source control tools), CI/CD tools such as Jenkins.</li><li>Familiarity with Cloud Computing, preferably AWS, and the use of tools to transfer, maintain and extract data from AWS.</li><li>Knowledge of ETL/ELT processes, both on-prem and cloud.</li><li>Background in financial services functions strongly desirable.</li><li>Knowledge of Tableau and AWS QuickSight a plus.? </li></ul></div></div>

<h3>Job Description</h3><div>Job Description<div>Data AnalystPrometheus Federal Services (PFS), a trusted partner to federal health and social services agencies, is seeking a Data Analyst with Federal Consulting experience. You will work closely with and support Federal health and social services agency clients. You will collaborate with client leadership to shape work product development and ensure quality delivery.The Data Analyst will be responsible for driving defined PowerBI dashboards, data visualization reports, data models, automation processes, and general integration.  As the PowerBI expert, this role will collaborate with stakeholders to define requirements, develop powerful data driven solutions, and support PowerBI training as needed (i.e., Dashboard Training). All applicants must reside in the U.S.  This is for future openings.Essential Duties and Responsibilities<ul><li>Conceptualize and develop integrated data solutions including task trackers, dashboards, customized application, and automation scripts to aid in data capture through products that support a variety of workstreams.</li><li>Design and deploy a continuum of integrated data management solutions within NDS authorized datasets and platforms including CDW, Pyramid Analytics, TMS, PowerBI, PowerApps, Power Automate.</li></ul>Minimum Qualifications<ul><li>Bachelor’s degree in Data Science or relevant discipline/field of study</li><li>Minimum of zero - two (0-2) years of working with large, complex health-related data sets</li><li>Ability to run scenarios</li><li>Ability to conduct data analysis</li><li>Experience with Data visualization (e.g., PowerSuite)</li><li>Hands-on experience building visually appealing Power BI dashboards</li><li>Excellent communication and client management skills</li><li>Demonstrated best practices to develop business solutions that ensure optimal performance, security, and governance</li><li>Proficient with Excel and Power Query</li><li>Strong understanding and ability to transform and integrate existing data sets across various applications such as SQL, Excel, SharePoint, Dataverse and more</li><li>Demonstrated knowledge of mathematical and statistical applications</li><li>Authorized to work in the U.S. indefinitely without sponsorship</li><li>Ability to obtain a public trust </li></ul>Preferred Qualifications<ul><li>Ambition to bring creative ideas to the table, pursue new learning opportunities and delight clients</li><li>Microsoft Certifications within the Power Platform, AZURE, or other closely related Microsoft Products</li><li>Six Sigma and/or continuous improvement background</li><li>Experience with SQL query design and database architecture through Microsoft SQL Server Management Studio</li><li>Experience with PowerBI Paginated Reporting or similar SSRS reporting capabilities</li><li>Prefer at least 2 years of PowerApps canvas app development and heavy power automate experience</li></ul>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin.This position may be subject to client or government vaccination and masking guidance, policy or requirements as may be changed from time to time.Work location is flexible if approved by the company except that position may not be performed remotely from Colorado.Powered by JazzHRQgcPFeJFt3</div></div>

<h3>Job Description</h3><div>Job Description<div>ExecRecruitment is a global professional services provider and contingency staffing company. Our main objective is to source top talent and support professional growth.One of our direct clients is actively seeking a Data Analyst to join their team.Job Title: Data Analyst Location: Remote Duration: 6 months+ extension Duties:  <ul><li>Design and manage data systems, coordinate various data sources within an organization, collect descriptive facts for existing data;</li><li>Interpret system development life cycles, project management approaches and requirements, design and testing techniques;</li><li>Experienced in data modeling and design, including software development and database administration.</li></ul>Powered by JazzHRLSAJnLDEZL</div></div>

MELE Associates, Inc. is seeking to add an experienced Business Data Analyst III team member to support the Department of Energy (DOE) State and Community Energy Programs (SCEP). The Business Data Analyst III position is located at the Department of Energy Forrestal Building, Washington, DC. This full-time position is contingent upon contract award. Essential Functions: Provide data review, analysis, and reporting in support of the management of DOE SCEP’s portfolio. Support the maintenance of current business data including identifying data gaps, exceptions, and quality issues; proposing resolution(s); and resolving issues. Develop standard reports related to financial status, budgets, and spend plans and resources, staff, and hiring. Utilize various data sources to develop requested reports and support analysis. Performs ad hoc reporting and analysis. Leads data efforts in system modernization projects including synchronizing data; establishing data reporting processes; leading data quality efforts; developing SOPs; and assisting with the development of business and functional requirements. Analyze financial information, performance, and associated risk-related exposure for SCEP’s portfolio and projects. Provide analysis of the financial viability of state, local and tribal governments, as well as private and public companies within the renewable energy market utilizing a variety of sources including audits, Dun & Bradstreet (D&B) reporting, com, Factiva, Securities & Exchange Commission (SEC) filings, regulatory reporting, and other news and feeds. Develop reporting/infographics, trainings, and presentations for financial analysis. Develop presentations to senior management on the financial condition of companies; presents on analysis to internal and external senior level executives, as needed. Develop, improve, and maintain financial databases for company performance tracking. Determine impacts of changes in regulatory, legislative, industry, and market trends for project performers. Minimum Qualifications: B.S. or B.A. in business administration, accounting, public administration or a related discipline that provides the functional skills to perform the functions and responsibilities described in the position description is required. Four (4) years of relevant education/experience may substitute the Bachelor’s degree to meet the minimum education requirement. Ten (10) years of relevant experience are required. A Master’s degree in a related discipline may substitute two (2) years of relevant experience in fulfillment of the minimum experience requirement. Must be able to handle multiple highly sensitive or complex projects at the same time and work cross-functionally to assist with resolving problems and implementing changes. Must have good time management skills to meet deadlines. Must have strong written and verbal communication skills. Must have working knowledge of Microsoft Word and Excel. Must be able to work independently. Preferred Qualifications: Current and active DOE Q Clearance. Master’s degree in business administration, accounting, public administration or a related discipline. This position is contingent upon contract award. Location: This is a full-time position in Washington, DC 20585, USA Telework options are available with a requirement to be in the office at least three days a week, based on the level of in-person meetings and office needs. SALARY: Salaries are determined based on several factors including external market data, internal equity, and the candidate’s related knowledge, skills, and abilities for the position. Benefits MELE Offers · Hybrid remote/office work environment. · Employer-paid employee Medical, Dental and Vision Care. · Low-Cost Family Health Care offered. · Federal Holidays and three (3) weeks’ vacation · 401(k) with Employer Match · Cross-training opportunities About MELE Associates, Inc. With over 300 employees and offices in Rockville, MD, Washington, DC, and Albuquerque, NM, MELE is a veteran and minority-owned government contractor empowering its customers with innovative solutions for more than three decades. MELE has team members located across the U.S. and has served more than a hundred countries across hundreds of project locations. The company offers technical, engineering, and programmatic support expertise to a host of U.S. federal and international agencies, including, but not limited to, the Department of Energy, the Department of Defense, the Department of Homeland Security, the Department of Justice, INTERPOL, and the International Atomic Energy Agency. MELE’s services include National Security and Intelligence, CBRNE Defense and Security, Facility Management and Engineering, Law Enforcement and Emergency Response Training, Technical, Analytica, and Program Management Support, and IT/Cybersecurity. MELE Associates, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. MELE Associates, Inc. is an E-Verify employer. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

Be a part of the nationwide law enforcement initiative that removes the tools of crime from criminal organizations, depriving wrongdoers of proceeds from their crime and impacting the infrastructure of criminal enterprises. FSA Federal (FSA) is focused on delivering unsurpassed services in support of law enforcement and homeland security. We currently have a vacancy for a Data Analyst. In this role, you will be supporting the overall mission of the Drug Enforcement Administration (DEA). Responsibilities <ul><li>Receives, gathers, analyzes, and organizes information from multiple sources.</li><li>Ensures completeness of received information and reconciles inconsistencies.</li><li>Accurately enters required data into one or more databases, documents, or spreadsheets.</li><li>Establishes and maintains physical files.</li><li>Keeps track of case file status in order to ensure compliance with established deadlines.</li><li>Coordinates requests for additional information as needed.</li><li>Selects relevant information from a variety of sources in order to prepare documents, reports, summaries, and replies to inquiries, ensuring accuracy and proper format of the information provided.</li><li>Performs word processing relevant to case.</li><li>Provides accurate and timely status updates.</li><li>Performs other duties as assigned.</li></ul> Requirements <ul><li>High School diploma or GED, Undergraduate degree preferred</li><li>Ability to grasp and understand the organization and functions of the customer</li><li>Meticulous data entry skills</li><li>Excellent communication skills; oral and written</li><li>Competence to review, interpret, and evaluate complex legal and non-legal documents</li><li>Attention to detail and the ability to read and follow directions is extremely important</li><li>Strong organizational and prioritization skills</li><li>Experience with the Microsoft Office suite of applications (Excel, PowerPoint, Word) and other common software applications, to include databases, intermediate skills preferred</li><li>Proven commitment and competence to provide excellent customer service; positive and flexible</li><li>Ability to work in a team environment and maintain a professional disposition</li></ul> This position requires U.S. Citizenship and a 7 (or 10) year minimum background investigation Agency Overview The Drug Enforcement Administration (DEA) is responsible for conducting national and international investigations targeting global drug trafficking networks and drug-related terrorism involved in the illegal growing, manufacturing, or distribution of controlled substances appearing in or destined for illicit traffic in the United States. A component of DEA's strategic mission is the use of the Asset Forfeiture Program, implementing major investigative strategies against drug networks and cartels, resulting in significant seizure and forfeiture activities. Benefits Overview At FSA Federal, we recognize the diverse needs of our employees and strive to provide an excellent package to help meet those needs. Comprehensive benefits are offered with greater choice and flexibility to support your health, work-life balance, and professional growth. A package providing employee only coverage can be built around our basic plans at $0 employee cost for: Medical, Dental, Vision, Term Life Insurance, Accidental Death & Dismemberment Insurance, Short-Term Disability, and Employee Assistance Program. For more information, click here . This position is not currently approved for telework and requires work to be performed onsiteFSA is proud to be an Affirmative Action/ Equal Opportunity Employer. We recruit, employ, train, compensate, and promote qualified persons in all job titles without regard to age, ancestry, color, gender, HIV status, marital status, medical condition, national origin, physical or mental disability, race, religion, sex, sexual orientation (including gender expression and identity) veteran status, family leave status, and any protected group status as defined by applicable law. FSA is proud to maintain a drug-free workplace. Satisfactory completion of a post-offer drug screening is a condition of employment. As a supplier of services to federal government agencies, such as DEA, FBI, USCIS, USPIS, etc., we also adhere to agency standards with respect to prior drug usage. Employment Type: Full Time Salary: $26 Hourly

<h3>Job Description</h3><div>Job Description<div>The Republican National Committee is looking for a Data Analyst to join the organization in Washington, D.C. The position will be in the Digital Department working within the Digital Data team. The Data Analyst will collaborate closely with other members of the team to analyze and parse through incoming data, enabling other teams and providing actionable insights that drive key marketing decisions. Successful candidates will be responsible for:<ul><li>Working closely with other team members and stakeholders to understand their analytical needs including identifying and measuring KPIs and providing actionable insights</li><li>Analyzing data to find answers to questions from stakeholders with a keen eye for what will drive top-level marketing performance </li><li>Creating and maintaining reporting dashboards that pull marketing data from a variety of sources, making the information easily digestible to the broader Digital Team</li><li>Performing frequent quality assurance checks on all data pipelines to ensure consistent accuracy of all infrastructure associated with RNC Digital Data</li></ul> Qualifications:<ul><li>Thrives in a fast-paced environment with aggressive deadlines while maintaining attention to detail</li><li>1-3 years of experience working with digital data</li><li>Proficiency in Tableau, Datorama and other BI tools</li><li>Technical writing experience in relevant areas, including queries, reports, and presentations</li><li>Strong SQL and excel skills with a desire to learn other analytical tools</li><li>Working knowledge of various ESPs</li><li>Python, HTML, Java and CSS skills are not required but a plus</li></ul>Background in politics, fundraising, or advocacy preferred but not requiredPowered by JazzHRzRhBy4WYzj</div></div>

<h3>Job Description</h3><div>Job Description<div><div><div><div><div><div><div><div><div><div><div><div></div></div></div></div></div></div></div></div></div></div></div><div> ASHLIN is an Equal Opportunity Employer. ASHLIN is also an Equal Opportunity of Protected Veterans and Individuals with Disabilities. ASHLIN Management is a VEVRAA Federal Contractor and desires for Priority Referrals of Protected Veterans DATA ANALYST JOB DESCRIPTION ASHLIN Management Group is seeking a Data Analyst to join our team working with our data analytics team. This professional will start off working with ASHLIN’s cloud-based visualization platform, CompassBI, powered by Sisense, on visualizing descriptive statistics and other key performance indicators and building ASHLIN’s library of dashboard templates. Additional projects will include supporting our team of project specialist in developing deliverables to our clients, based research and analysis methods, using statistical models on business data collected in field. Candidates should also be comfortable preparing routine as well as ad-hoc business reports and PowerPoint decks to present the information to senior management and clients. Essential duties and responsibilities: <ul><li>Develop visualizations using tools such as Tableau, PowerBI and/or Sisense </li><li>Use sophisticated data analysis methods to support project team in creating deliverable for client </li><li>Work with clients to devise methods to optimize data capturing schemes and overall program evaluation plan Perform statistical modeling (e.g. ANOVA) using statistical software applications such as R and SPSS </li><li>Work with Senior Database Architect(s) to develop analytical SQL queries and reports for tracking, trending, and interpreting business data </li><li>Perform ongoing data quality assessments, identify discrepancies/inconsistencies, and resolve them </li><li>Continually improve the end-to-end process of data collection, transformation, analysis, and reporting </li><li>Develop data management programs and forms for data entry and maintenance by end-users </li><li>Document data analysis and reporting architecture, designs, and write user guides </li><li>Other duties as defined by senior research team </li></ul>Qualifications To be successful in this position, the Data Analyst must have a minimum of 3 years’ experience in: <ul><li>Data analysis, involved in both primary and secondary research using data to arrive at decision pertaining to marketing strategies <ul><li>Ability to interpret complex data sets (quantitative and qualitative) into insights that lead to effective marketing strategies and frameworks </li></ul></li></ul><ul><li>Strong data analysis modelling, specifically the successful candidate must be able to:<ul><li>Conduct cross-tabular and ANOVA and other statistical analysis using R and/or SPSS</li><li>Interpret results of statistical analysis output and draw insights in order to make recommendations to senior management what steps to take</li><li>Present data, interpretation and resulting strategy in language that indicates a command of the material while at the same time making sense to lay persons who may not have a marketing and/or data analysis background </li></ul></li></ul><div><ul><li>Develop data reports using the following tools and technologies:</li></ul></div> <ul><li>MS-Excel (Pivot Tables, VBA, Power Pivot, H-Lookup, V-Lookup, Import/Export from/to external data sources)</li><li>Online Dashboards (e.g. Tableau, PowerBI, Sisense)</li><li>Expert level skills in the development of highly impactful PowerPoint slide decks</li><li>Development of scheduled and ad-hoc reports and analysis.</li></ul><ul><li>Working in a team environment with responsibility for delivery of timely and accurate business-critical reports and analysis:<ul><li>Self-motivated and proactive, willing to drive a program of work to successful completion,</li><li>Strong oral/written communication, and presentation skills,</li><li>Ability to work with highly sensitive information and preserve the confidentiality of the information,</li><li>Detail oriented and capable of identifying and resolving data quality issues.</li></ul></li></ul>In addition, the following are highly desirable: <ul><li>A minimum of 3 years’ experience with statistical analysis tools (e.g. R, SPSS)</li><li>A background in market research, or related disciplines</li><li>Working knowledge of relational databases (e.g. SQL)</li></ul>Position requirements include: <ul><li>At least a Bachelor’s Degree in Math, Probability & Statistics, or related data science field</li><li>Master’s degree in any of the above disciplines is highly desirable, or MBA</li><li>High proficiency with statistical analysis tools</li><li>Only open to candidates US Citizens and Permanent Residents currently authorized to work in the US</li></ul></div></div></div>

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