Data Analyst

Virginia Client Office (VA88)

ICF

We make big things possible for our clients. We provide data, insights, and deep implementation expertise they need to deliver results that matter.

View company page

ICF seeks a Data Analyst for an enterprise big data and analytics platform that utilizes emerging technology to ingest data in real-time at extreme volumes and high velocity.  You will support data mining, data analysis, and data visualization.

Responsibilities:

Support data analysis needs in a software development lifecycle and in a business support capacity to find data insights to solve a business problem

 In a software development lifecycle, provide inputs into data arch design, analyze data outputs to validate data quality and communicate gaps to the development team; Validate SIT and CAT results to ensure product meets acceptance criteria; Support production data validation and investigations.

Triage and investigate user inquiries; query and analyze data to identify business insights; Create data visualizations and PowerPoint decks to communicate insights to client management/leadership; Develop canned data visualizations using Qlik.

What you will need:

  • 3+ years of data analytics experience

  • Experience with SQL or other structured languages

  • Ability to work and communicate at levels in team structure

  • Strong analytical and problem-solving skills

What would be good to have:

  • Data Visualization/Qlik sills

  • Experience with querying and exploring data within a NoSQL data platform (e.g. Hadoop/Hive)

  • Prior experience with Postal or mailing industry experience

  •  U.S. Citizenship required (required by federal government for position).

#usp

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are an equal opportunity employer, committed to hiring regardless of any protected characteristic, such as race, ethnicity, national origin, color, sex, gender identity/expression, sexual orientation, religion, age, disability status, or military/veteran status. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO & AA policy.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation please email icfcareercenter@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Read more about workplace discrimination rights, the Pay Transparency Statement, or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.

 

Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position is:

$87,069.00 - $148,017.00

Virginia Client Office (VA88)
Apply now Apply later
  • Share this job via
  • or

Tags: Big Data Data analysis Data Analytics Data Mining Data quality Data visualization Hadoop NoSQL Qlik SQL

Region: North America
Country: United States
Job stats:  7  4  0
Category: Analyst Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.