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Internship Data Analyst Startup Jobs in Minnesota

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

They use a flexible, analytical approach to design, develop, and evaluate predictive models and ... internship experience, or equivalent hands-on industry experience may be considered in lieu of ...

... through internships, project work, research, consulting, product, design, technology, startup ... Basic data analysis skills using Excel, Power BI, SQL, Python, or similar tools * Experience with ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Showing results 21-40

Internship Data Analyst Startup information

What are some common challenges faced by data analyst interns at startups, and how can they overcome them?

Data Analyst interns at startups often encounter challenges such as working with limited or unstructured data, rapidly changing priorities, and balancing multiple projects simultaneously. To overcome these, it's important to proactively communicate with team members, seek clarification on project goals, and be adaptable to shifting business needs. Additionally, leveraging mentorship opportunities and utilizing available analytics tools can help interns build confidence and deliver valuable insights, even in a fast-paced environment.

What are the key skills and qualifications needed to thrive as an internship data analyst at a startup?

To thrive as an Internship Data Analyst at a startup, you need a solid grounding in statistics, data manipulation, and basic programming skills, often supported by coursework in data science or related fields. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is typically expected. Strong problem-solving, adaptability, and communication skills help you interpret findings and work effectively within a fast-paced, evolving team. These skills enable you to extract actionable insights from data and contribute meaningfully to the startup’s growth and decision-making.

What is the difference between Internship Data Analyst Startup vs Data Analyst?

AspectInternship Data Analyst StartupData Analyst
Required CredentialsTypically pursuing or recently completed a degree in data, statistics, or related fieldBachelor's or higher in data-related disciplines, sometimes certifications
Work EnvironmentStartups, fast-paced, entry-level, learning-focusedVaries from corporate to consulting, more structured
Employer & Industry UsageStartups across tech, e-commerce, and innovative sectorsWide range including finance, healthcare, tech, and consulting
Common Search & ComparisonOften compared for entry-level experience and learning opportunitiesCompared for career progression and specialization

The main difference between an Internship Data Analyst at a startup and a Data Analyst is the experience level and work environment. Internships are typically short-term, entry-level roles focused on learning within startup settings, while Data Analysts are more experienced professionals working in established organizations across various industries.

What does an internship data analyst do at a startup?

An Internship Data Analyst at a startup typically assists in collecting, cleaning, and analyzing data to help the company make informed business decisions. They work closely with various teams to identify trends, generate reports, and create data visualizations. Due to the fast-paced nature of startups, interns often have the opportunity to work on diverse projects and gain hands-on experience with modern analytics tools. This role is ideal for students or recent graduates looking to build practical skills in data analysis while contributing to the growth of a young company.
What are the most commonly searched types of Data Analyst Startup jobs in Minnesota? The most popular types of Data Analyst Startup jobs in Minnesota are:

Data Scientist I - Quality Engineering (Electrophysiology)

Boston Scientific

Arden Hills, MN • Hybrid

Full-time

Posted 2 days ago

New


Boston Scientific rating

8.5

Company rating: 8.5 out of 10

Based on 120 frontline employees who took The Breakroom Quiz

31st of 537 rated manufacturers


Job description

Additional Location(s):  N/A

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.       

About the role:

The Data Scientist I will support data analytics initiatives within the Electrophysiology (EP) Complaint Investigation Site (CIS) and supporting functions. This role is an excellent opportunity for a data professional who enjoys solving business problems with data. The individual will develop dashboards and reports, fulfill ad hoc data requests, and support automation initiatives that improve operational efficiency across the EP Quality organization.

The ideal candidate has experience with SQL, Python, and business intelligence tools such as Microsoft Power BI or Tableau. They are detail-oriented, eager to learn, and excited to leverage emerging technologies including AI tools such as Microsoft Copilot, ChatGPT, and Claude to improve reporting, analytics, and business processes.

Work mode:

At Boston Scientific, we value collaboration and synergy. This hybrid role is based in Arden Hills, MN and requires being on-site at least three days per week.

Relocation assistance:

Relocation assistance is not available for this position at this time.

 Visa sponsorship:

Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time.

Your responsibilities will include:

  • Develop, maintain, and enhance dashboards and reports that communicate product performance, complaint trends, and operational metrics for the Electrophysiology division.
  • Partner with Quality Engineering and business stakeholders to understand reporting requirements and translate business needs into effective dashboards and visualizations.
  • Support recurring reporting activities and fulfill ad hoc data requests using data from multiple sources.
  • Write and optimize SQL queries to retrieve, validate, and analyze data from relational databases.
  • Develop Python scripts and analytical workflows to improve reporting, data processing, and operational efficiency.
  • Support automation initiatives that streamline business processes, including robotic process automation (RPA) and generative AI solutions where appropriate.
  • Utilize AI productivity tools such as Microsoft Copilot, ChatGPT, and Claude to accelerate analysis, documentation, and solution development while following company policies and governance.
  • Perform data validation and quality checks to ensure the accuracy and integrity of reports and dashboards.
  • Present analytical findings and recommendations to technical and non-technical stakeholders.
  • Demonstrate a primary commitment to patient safety and product quality by maintaining compliance with the Quality Policy and all documented quality processes and procedures.

What we’re looking for in you:

Required Qualifications

  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, Business Analytics, or a related technical field.
  • 0–2 years of experience in data analytics, business intelligence, reporting, software development, or a related field (internships, co-ops, and academic projects are encouraged).
  • Experience writing SQL queries to retrieve and manipulate data.
  • Programming experience with Python.
  • Experience creating dashboards or reports using Microsoft Power BI, Tableau, or a similar business intelligence platform.
  • Strong analytical and problem-solving skills with exceptional attention to detail.
  • Effective written and verbal communication skills.
  • Ability to manage multiple priorities and work collaboratively in a team environment.

Preferred Qualifications

  • Internship, research, or project experience involving data analytics or visualization.
  • Experience with Microsoft Power BI or Tableau.
  • Familiarity with relational databases and basic data modeling concepts.
  • Familiarity with generative AI tools such as Microsoft Copilot, ChatGPT, Claude, or similar AI platforms.
  • Basic understanding of statistical analysis and data visualization best practices.
  • Interest in healthcare, medical devices, or other regulated industries.

Requisition ID: 632715

Minimum Salary: $59900 

Maximum Salary: $113800 

The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com—will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.

Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).

Compensation for exempt, non-sales roles may also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).

For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 45 years, we advance science for life by providing a broad range of high-performance solutions that address unmet patient needs and reduce the cost of healthcare. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urological diseases and conditions. Learn more at www.bostonscientific.com and follow us on LinkedIn.

Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status.  Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment.  Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements.   As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.


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