Data Analyst

$85,000 - $110,000

Full Time

  • No Travel Required

Skills

PythonSQLRData AnalystData AnalyticsStatisticsStatistical AnalysisMLAIMachine Learning

Job Description

Please note I have direct access to the Hiring Analytics Manager on this position. Compensation: Base + 10% Bonus

Position is 100% Remote

This is an outstanding opportunity that will allow a Data Analyst to advance their career into Data Science and ML and perform data analysis that has a direct effect on the success and bottom line of the company.

We are an International, successful, extremely profitable and the largest global privately held medical software/hardware Company and are looking for a Data Analyst due to significant company growth. The company is privately held, has been in business for 65+ years, has $1+ Billion in revenue, has 5K+ employees, is extremely profitable and has never laid-off an employee.

The Data Analyst will join a team of Data Analysts and Data Scientists to:

  • Gain an understanding of the domain, products and transactional data.
  • Design and build ETL data pipelines utilizing SQL and/or Python. Transactional data is extracted from SAP HANA, Salesforce and external sources, transformed (combined, joined, manipulated, transformed, structured, formatted, wrangled, tested and validated) and loaded into Tableau (not mandatory).
  • Analyze, mine and apply statistical techniques to data.
  • Display and represent data analysis results in a clear and effective manner through creative visualization directly to company sales and marketing executives utilizing Tableau (not mandatory).

The Data Analyst reports to the Senior Manager of Analytics

 

Requirements:

  • Must have experience building ETL data pipelines utilizing SQL and/or Python
  • Must have experience utilizing statistical analysis techniques such as mean, median, standard deviation, correlation, regression analysis, data distribution, forecasting, hypothesis testing, etc.
  • Must have experience with a data reporting and visualization tool such as Tableau, PowerBI, Looker, MicroStrategy, Qlik, etc.
  • Experience with any of the following are only a Plus; NOT mandatory: R, ML, AI, Data Science, SAP HANA, SalesForce, data models, predictive models, quantitative and qualitative analysis, Big Data and/or Einstein Data Direct. Again, only a plus, NOT mandatory

Benefits:

The company offers full benefits: matching 401K, 3 weeks of vacation, (PPO & HMO) including dental and vision, paid sick days, Short and Long-Term Disability, Life Insurance, Tuition reimbursement, Paternity Leave, casual dress and flexible work hours that all start upon employment.