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Data Analyst I

Thorlabs
Newton, USA
Full-time
Junior · 1+ years experience
Onsite
Discovered 4 days ago
excelpower-bipythonsql

Full Job Posting

Experience:

  • Entry level to 1 year experience with data visualization best practices and the ability to create visually compelling reports, dashboards, and visualizations that effectively communicate complex data findings to non-technical stakeholders.
  • Familiarity with data validation, data quality assurance, and data cleansing techniques to ensure data accuracy, integrity, and consistency.
  • Education:
  • Bachelor’s degree in Data Analytics, Business Analytics, Computer Science or related fields
  • Specialized Knowledge and Skills:
  • Strong proficiency with data analysis techniques and tools, such as SQL, Python, Power BI, or Excel.
  • Knowledge of data modeling, data warehousing, and data integration concepts.
  • Ability to apply critical thinking and problem-solving skills to analyze data, identify patterns, trends, and correlations, and provide actionable recommendations for business decision-making.
  • Excellent communication skills, both written and verbal, with the ability to effectively communicate complex data findings to diverse audiences.
  • Experience with machine learning, predictive analytics, or data mining techniques is a plus.
  • Thorlabs values its diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Job descriptions are not intended as and do not create employment contracts. The organization maintains its status as an at-will employer. Employees can be terminated for any reason not prohibited by law

Benefits

  • Thorlabs offers a complete benefits package that includes medical, dental and vision insurance, company paid life insurance, a generous PTO package, a 401(k) plan, and tuition reimbursement just to name a few.

Preferred Qualifications

  • Experience with machine learning, predictive analytics, or data mining techniques is a plus.

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