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Summer Associate Internship (Data Scientist - NFFG Analytics and Reporting)

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Navy Federal Credit Union

14d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • Vienna

AI generated summary

  • You should be pursuing a degree in data science/analytics, possess strong communication and problem-solving skills, and have experience in data modeling, Python/R, SQL, and cloud technologies.
  • You will analyze data using Python, SQL, and Tableau to provide insights, build models, collaborate with teams, and present findings to inform business decisions.

Requirements

  • **Qualifications**
  • This position is open to individuals pursuing an undergraduate or graduate degree in the following programs: data science, data analytics, and/or business intelligence.
  • **Business Skills:**
  • Excellent communication skills
  • Self-starter with significant experience in managing multiple priorities independently
  • Significant experience in problem resolution including determining root cause, scope, and scale of issues
  • Experience that demonstrates the ability to research, compile, and document data, business processes, and workflows
  • Experienced skill in maintaining accuracy with high attention to detail
  • Experienced research, analytical, and problem-solving skills
  • Experienced presentation, verbal, and written communication skills
  • Experienced skill in identifying and analyzing business requirements and recommending solutions
  • Experienced skill in analyzing statistics and reports to determine business performance, trends, and reporting
  • Experienced skill in data mapping and building requirements
  • **Technical skills:**
  • Moderate skill in descriptive, predictive, and prescriptive analytics and modeling; demonstrated success in building models that are deployed and have made measurable business impact
  • Working knowledge of advanced techniques such as: SMOTE, dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.
  • Demonstrates a deep understanding of the modeling lifecycle
  • Moderate skill data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data models
  • Skill interpreting, extrapolating, and interpolating data for statistical research and modeling
  • Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis
  • Advanced skill in Python, R, and/or Scala
  • Moderate skill in SQL and querying (able to pull/transform your own data)
  • Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud
  • Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries
  • Familiar with Data Engineering concepts
  • Familiar with the use of standard ETL tools and techniques
  • Familiar with the concepts and application of data mapping and building requirements
  • Demonstrates a deep understanding of multiple data related concepts
  • Familiar with Data Integration, Data Governance and Data Warehousing
  • Moderate skill in Data Management, Data Validation & Cleansing and Information Analysis

Responsibilities

  • Support the delivery of strategic analytics solutions across the organization with solutions drawing on descriptive, predictive, and prescriptive analytics and modeling.
  • Leverage a broad set of modern technologies – including Python, SQL, Tableau, Power BI – to analyze and gain insights within large data sets.
  • Analyze big data in order to build data driven insights and high impact data models.
  • Evaluate model design and performance and perform champion/challenger development.
  • Analyze model input data, assumptions, and overall methodology.
  • Using statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities, enabling better decisions on planned/future events.
  • Provide analytics insights and solutions to solve complex business problems.
  • Apply business knowledge and statistical modeling techniques when building data structures and tools.
  • Collaborate with other team members, subject matter experts, pods, and delivery teams to deliver strategic advanced analytic based solutions from design to deployment.
  • Examine data from multiple sources and share insights with leadership and stakeholders.
  • Transform data presented in models, charts, and tables into a format that is useful to the business and aids in effective decision making.
  • Identify improvements to the way in which analytics service the entire function.
  • Prepare project deliverables that are valued by the business and present them in such a manner that they are easily understood by project stakeholders.
  • Perform other duties as assigned.

FAQs

What is the role of the Summer Associate Internship in the NFFG Analytics and Reporting team?

The Summer Associate Internship will assist with data engineering efforts, perform qualitative and quantitative analyses, develop artificial intelligence models, and contribute to various data and analytics projects aimed at informing NFFG strategic initiatives.

What kind of projects will the Summer Associate work on?

The Summer Associate will work on data collection and preparation, data analysis and visualization, monitoring predictive models, and creating comprehensive executive management reports, among other analytics and reporting tasks.

What qualifications are required for the Summer Associate Internship?

Candidates should be pursuing an undergraduate or graduate degree in fields like data science, data analytics, or business intelligence. Additionally, strong communication, problem-solving, analytical skills, and experience managing multiple priorities are important.

What technical skills should candidates possess for this role?

Candidates should have moderate skills in descriptive, predictive, and prescriptive analytics; knowledge of Python, SQL, and various data technologies; and familiarity with data engineering concepts and BI tools.

How does the Summer Associate contribute to the team?

The Summer Associate supports the delivery of strategic analytics solutions, collaborates with team members, analyzes data to derive insights, and prepares project deliverables that are easily understood by stakeholders.

Is there an opportunity for cross-team collaboration?

Yes, the Summer Associate will have high visibility and opportunities to collaborate with various teams within NFFG and NFCU business partners.

What tools and technologies will the Summer Associate use?

The Summer Associate will work with technologies including Python, SQL, Tableau, Power BI, and may engage with cloud computing platforms like Azure and AWS.

What type of analytical methods will be utilized in this role?

The role will utilize descriptive, predictive, and prescriptive analytics, including statistical modeling techniques and advanced techniques like natural language processing and anomaly detection.

How does Navy Federal support diversity in the workplace?

Navy Federal values diversity and takes affirmative action to employ and advance individuals from various backgrounds, including qualified individuals with disabilities and veterans.

What is the work environment like for this internship?

The internship is structured as a hybrid workplace, allowing for a combination of remote and in-office work, with specifics discussed during the interview process.

Navy Federal Credit Union

Our Members Are the Mission

Finance
Industry
10,001+
Employees
1933
Founded Year

Mission & Purpose

Navy Federal is the world’s largest credit union, with more than 13 million members, $178 billion+ in assets and 24,000+ employees. Throughout campuses in Vienna, VA Pensacola, FL and Winchester, VA, as well as more than 350 branches, we serve the Armed Forces, Department of Defense, veterans and their families with world-class financial products and services. Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion. Equal Housing Lender