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Internship Data Analyst Opt Jobs in Colorado (NOW HIRING)

Comfortable working with data and modern analytical tools, including strong Excel skills, and ... OPT/STEM, etc., now or in the future. * Recruitment Process : The recruitment process is all ...

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

New

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

New

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

New

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Internship Data Analyst Opt information

What is the difference between Internship Data Analyst Opt and Data Analyst?

AspectInternship Data Analyst OptData Analyst
Required CredentialsTypically pursuing or recent graduate, some certificationsOften requires a bachelor's degree, certifications like SQL or Excel
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time, professional environment, more responsibilities
Employer & Industry UsageInternship programs in various industriesFull-time roles across industries like finance, healthcare, tech

The Internship Data Analyst Opt is an entry-level, learning-focused position often held by students or recent graduates, while a Data Analyst is a full-time professional role requiring more experience and responsibilities. Both roles are common in similar industries and may require basic data skills, but the internship is designed as a stepping stone to a full analyst position.

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

To thrive as an Internship Data Analyst, you need a solid grasp of statistics, data analysis, and proficiency in spreadsheet and database tools, often supported by coursework in data science or related fields. Familiarity with programming languages such as Python or R, data visualization tools like Tableau, and Excel is commonly required. Strong problem-solving skills, attention to detail, and effective communication set outstanding candidates apart. These abilities are crucial for accurately interpreting data, drawing actionable insights, and clearly presenting findings to support business decisions.

What is an internship data analyst opt?

An Internship Data Analyst OPT is a student or recent graduate, typically on Optional Practical Training (OPT) status, who works in a temporary internship role focused on data analysis. Their responsibilities include collecting, processing, and interpreting data to help organizations make informed decisions. These internships provide practical experience in data analysis tools and techniques, often using software like Excel, SQL, or Python. It is a valuable opportunity for international students in the U.S. to gain real-world experience in their field of study.

What kinds of projects or tasks can an internship data analyst opt expect to work on during their internship?

As an Internship Data Analyst Opt, you can expect to work on projects such as data cleaning, preparing reports, visualizing data trends, and supporting more senior analysts with ad hoc analyses. Interns often participate in team meetings to present findings and collaborate with colleagues from different departments, such as marketing or finance, to help solve real business problems. This hands-on experience not only strengthens technical skills but also provides insight into how data-driven decisions are made within an organization. Additionally, you'll likely use tools like Excel, SQL, or Python, gaining practical exposure to industry-standard technologies.

What are the most commonly searched types of Data Analyst Opt jobs in Colorado?

The most popular types of Data Analyst Opt jobs in Colorado are:

What cities in Colorado are hiring for Internship Data Analyst Opt jobs?

Cities in Colorado with the most Internship Data Analyst Opt job openings:

Data Analyst I Geospatial and Water Resources

Lynker Corporation

Boulder, CO

$70K - $75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts.
 
As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Data Analyst I to join our growing team.


Duties of the Data Anaylst Iwill include the following:

  • Acquire, clean, and integrate national-scale geospatial and hydrologic datasets, including surface water hydrography, wetlands inventories, soils, terrain, land cover, and gaged streamflow and precipitation records.
  • Write and maintain repeatable data processing scripts in Python and SQL, under version control, with documented inputs, parameters, and outputs.
  • Run QA/QC checks on derived geospatial products and model outputs; find spatial and attribute errors, quantify how widespread they are, and escalate what you can't resolve.
  • Assemble validation and reference datasets from field-verified and independently mapped sources, and produce accuracy summaries (confusion matrices, error rates by class and by region) using methods defined by the technical lead.
  • Produce the tables, figures, maps, and summary statistics that go into technical memoranda, monthly reports, and client review meetings.
  • Maintain metadata, data dictionaries, and versioned data releases sufficient for a government client to reproduce results independently.
  • Work with cloud storage and analysis-ready formats (S3, GeoParquet, cloud-optimized GeoTIFF, Zarr) to keep large datasets usable by the broader team.
  • Coordinate day to day with partner-organization analysts and developers on shared data standards and hand-offs.

The Data Analyst I selected should have the following:

  • Bachelor's degree in data science, statistics, computer science, geography, GIS, environmental science, hydrology, engineering, or a related quantitative field. A master's degree in a relevant field may substitute for experience.
  • 0–2 years of professional or internship experience in data analysis, data engineering, or software development.
  • Working proficiency in Python for data work, including pandas, plus the ability to pick up new libraries quickly.
  • Proficiency with SQL and relational databases.
  • Familiarity with Git and collaborative code review.
  • Demonstrated experience carrying a technical task from raw data to a finished, documented result — coursework, capstone, internship, or open-source work all count.
  • Clear technical writing: the ability to explain a method, a limitation, and a result in plain language to a non-specialist reviewer.
  • Must be a U.S. citizen and able to pass a federal background investigation for facility and system access.

The Ideal Data Analyst I will have the following:

  • Experience with Python geospatial libraries (geopandas, rasterio, xarray, shapely) or willingness to learn them quickly on the job.
  • Exposure to ArcGIS Pro, QGIS, or PostGIS.
  • Familiarity with national public datasets such as NHD/NHDPlus HR, National Wetlands Inventory, SSURGO/gSSURGO, 3DEP, or NLCD.
  • R for statistical analysis and reporting.
  • Machine learning coursework or project experience, particularly image segmentation, classification, or training-data curation.
  • Experience building ETL workflows on AWS, including S3 and automated pipelines.
  • Awareness of Clean Water Act aquatic resource jurisdiction, wetland delineation, or environmental permitting data.
  • Prior exposure to federal contract work and government-reviewed deliverables.

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities – creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) – we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.