Analytics And Data Science Intern Jobs

Engage in team discussions, brainstorming sessions, and knowledge-sharing activities.

Learn from experienced data scientists and analytics professionals.

Basic knowledge of statistical concepts and techniques.

Excellent communication skills, both written and verbal.

Assist in cleaning, organizing, and preprocessing large datasets for analysis.

Conduct exploratory data analysis to identify trends, patterns, and outliers.

Outstanding analytical and quantitative problem-solving skills

Some experience with programming languages such as Python, JavaScript, and SQL

Some experience in areas such as front-end or back-end software engineering, data engineering, database administration, and cloud services

Experience working with and protecting confidential information

Good communication and interpersonal skills with the ability to deliver clear and effective messages to a variety of partners

Collaborate with a team of engineers to develop applications that drive real-time, data-driven decision making

Includes the management of reusable & consistent data foundations

Technology related experience a plus

Excellent verbal and written communication skills

We love to convert our interns to full time opportunities! Our full time positions have a comprehensive benefits package that include:

at the point of offer.

Minimum Qualifications - Each candidate is expected to:

Some experience with technical tools for analysis such as R (with Tidyverse, etc.), Python, SQL, etc.

Some experience in areas such as database systems, data wrangling and data visualization

Knowledge of Shiny, Markdown, JavaScript, and HTML/CSS a plus

Experience working with and protecting confidential information

Good communication and interpersonal skills with the ability to deliver clear and effective messages to a variety of partners

Work with diverse, large, and sophisticated datasets to solve dynamic problems

Some experience with technical tools for analysis such as R (with Tidyverse, etc.), Python, SQL, etc.

Some experience in areas such as database systems, data wrangling and data visualization

Knowledge of Shiny, Markdown, JavaScript, and HTML/CSS a plus

Experience working with and protecting confidential information

Good communication and interpersonal skills with the ability to deliver clear and effective messages to a variety of partners

Work with diverse, large, and sophisticated datasets to solve dynamic problems

Team management: recruitment, performance management, mentoring and motivating to achieve a common goal

2+ years of managerial experience of distributed teams

Own experience optimization & experimentation performance evaluation. Hold teams accountable for results by guiding targets and influencing product roadmaps and processes

3-5 years of work experience doing quantitative analysis to solve business problems

A strong analytical attitude and skills, including the ability to break down complex scenarios into constituent parameters

Experience with large data sets, proficient in SQL or other programming languages (R, Python)

Bachelor’s degree (B.S./B.A.) in Computer Science, Mathematics, Engineering, Graduate degree in Data Science, or equivalent combination of education and experience

Plan, document, execute and manage the overall marketing analytics planning & framework

Must have at least 5 years hands-on experience performing advanced quantitative analyses and 3 years leading high performing teams

Experience mentoring and coaching direct reports in delivering high quality, accurate, and methodologically consistent advanced analytics results

Develop and supervise the enhancement of data models for statistical modeling purposes, tracking results against actuals, and re-specify when required

Propose solutions and strategies to business challenges

Bachelor’s Degree/equivalent in business, finance, statistics, engineering or related quantitative discipline.

3+ years experience leading teams and experience coaching and developing analysts at all levels.

Proven approach for building and establishing a can do team culture.

Fluency in leveraging a data first approach to establish credibility and influence working with cross-functional leadership.

Exploring and harnessing data to define and solve true problems;

Removing barriers between data sets to create new avenues of insight;

Technology related experience a plus

Excellent verbal and written communication skills

Ability to learn new technologies and processes information quickly

Ability to adapt to changes in timelines and sequences

Ability to participate in ten or twelve-week internship program May - August

Graduate with Bachelor's or Master's degree within one (1) year of internship completion

5-7 years experience working in analytics with at least 1 year of formal or informal leadership experience.

Skilled in data wrangling & modeling (Python preferred), database querying (SQL), and use of cloud-based platforms (e.g., Snowflake, Sagemaker).

Ability to translate business problems into analytical frameworks and models.

Support the design of the future state of Pricing tools, data, and processes.

Create presentations that describe model results and recommendations to senior executives and other key stakeholders.

Sustain a structured method of gathering business feedback on data science output in order to drive continuous improvement

Strategic, analytical and program management skills.

Proactive communication and updates on progress to both management and the organization through multiple platforms

Provides analysis and support for senior management requests related to Delivery performance

Develops sheets and maintains templates for data entry completed by outside teams.

Bachelor of Arts/Science Degree business analytics, operations, computer science, marketing, finance, business administration, economics, or related degree required

Masters in Business Analytics, Data Analytics, Computer Science, Marketing Analytics, Information Science or related field experience required

Bachelor's, Master's, PhD or equivalent experience. Mathematics, Scientific, Statistics or Technical degree preferred.

Experience with visualization /business intelligence tools such as Tableau and Power BI and is able to create complex calculations using advanced features.

Experience in statistical/predictive modeling, computational systems, and operation research and optimization techniques

Strong SQL skills, is able to fetch, manipulate and automate big data manipulation tasks

Experience in Programming Language ( R, Python o r Scala) , and Excel experie nce is r equired

Experience with digital analytics tools i.e. Adobe Analytics, and experience with BI tools i.e. Tableau, Power BI

ADDITIONAL QUALIFICATIONS (JOB SKILLS, ABILITIES, KNOWLEDGE)

Working experience in a dynamic and agile environment requiring high-adaptability, management of multiple projects, excellent cross-functional communication, and presentation skills

BASIC AND PREFERRED QUALIFICATIONS (EDUCATION And/or EXPERIENCE)

Experience executing as part of large finance, enterprise and/or data architecture transformation programs

Essential Job Duties And Responsibilities

Understanding of the functionality of finance systems, such as General Ledgers, Sub-Ledgers, Hyperion, Finance Data Warehouse/Repositories, and other related applications;

Strong project management experience with the ability to work on multiple projects simultaneously.

Enable tracking capabilities that uncover business trends and opportunities that can be realized by the organization.

2+ years' total work experience in data analytics or data-driven functions, Biopharmaceuticals and/or Rare Disease market experience is a plus.

Demonstrated, applied experience with Specialty pharmacy, patient-level claim, and internal hub data as well as segmentation, marketing mix optimization, attribution models.

Strong programming skills in SQL

Basic experience with Python or R

Apply intermediate-level mathematical concepts and data management principles

Interpret, communicate, and present results to all levels of management in consistent and easy-to-understand formats to facilitate fact-based decision-making

Demonstrate a broad understanding of health insurance terms and concepts, along with general healthcare industry knowledge

Create, modify, maintain, and enhance existing programming or business processes associated with specific responsibilities.

Complete projects within preset timelines and report status to supervisor and project manager

Eleven (11) paid holidays, including a floating holiday you can use any time you wish

5 years of team building and people management experience and demonstrable leadership skills

Exceptional technical skills with SQL, R/ Python for data analysis and experience in ML driven products

Work closely with partner managers to build data assessment processes and tools to analyze partner data.

12 years of total experience in analytics/ data science

5 years of hands-on experience building and managing customer facing, preferably revenue driving data products

Entrepreneurial spirit and demonstrable experience of starting at ground zero and building sophisticated data science and analytics platforms and products

Analyze athletes in the NOCAP network to ensure all data points are accurate and up to date

Update outdated data points, remove unrelated information, and optimize information shown to NOCAP clientele

Build valuable insights about the NOCAP athlete network by extracting data from athlete profiles and summarizing into key metrics

Analyze social media profiles to ensure NOCAP accounts are associated with the correct individuals

Work with NOCAP's product and engineering teams to ensure data quality

Relay insights to NOCAP's marketing & sales teams to be used in outbound materials

Specific assignments will be based on organization needs and intern interests and skills

Knowledge and practical application of one more programming languages, such as Python

Effective oral and written communication skills

Strong analytical, critical thinking, and problem solving skills

Contribute to projects under the guidance of senior members of the Analytics and Data Science team

Perform tasks to support objectives of the Analytics and Data Science team, which may include: a) design, development, and