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Key job responsibilities
As a Business Intelligence Engineer at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with massive-scale data and providing analytic support to product/program managers, engineers using these data. You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tooling/languages like SQL, Excel, Python and others, to translate the data into meaningful insights. You will have ownership of the insights you are building for the business, and will play an integral role in tactical decision-making for critical risk areas.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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Any equivalent combination of education, training, and/or experience that fulfills the requirements of the position will be considered.
Education/Certification/Experience
⦁ Bachelor’s degree required, preferably in related field
⦁ At least 1 year of full-time, documented business-to-business sales experience; pharmaceutical sales experience strongly preferred
Skills/Knowledge/Abilities
⦁ Proven record of accomplishments in this specific market toward meeting established objectives
⦁ Demonstrated interpersonal skills, including active listening, empathy, open communication, inclusivity, and openness to feedback
⦁ Well-developed written and oral communication skills
⦁ Ability to interact with HCPs in both face-to-face and virtual environments, and be proficient with technology
⦁ Knowledge of reimbursement, managed care, or marketing preferred
⦁ New product launch experience preferred
⦁ Broad therapeutic area experience particularly in therapeutic area preferred
⦁ Candidate must be able to successfully pass background, motor, and drug screening
⦁ Valid US driver’s license and acceptable driving record required
Full time documented business to business sales experience dependent on level as listed below. Pharmaceutical sales experience preferred. Level of the role will be commensurate to years of experience and performance criteria.
⦁ Sales Specialist: Minimum 1 year
⦁ Executive Sales Specialist: Minimum 7 years
TRAVEL REQUIREMENTS
Regular travel, which may include air travel and weekend or overnight travel
The annual starting salary for this position is between $88,000 – $170,000 annually. Factors which may affect starting salary within this range and level of role may include geography/market, skills, education, experience and other qualifications of the successful candidate.
The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.
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Key Responsibilities
Required Qualifications
Preferred Qualifications
The anticipated annualized base amount or range for this full time position will be, plus variable compensation governed by the Sales Incentive Compensation Plan (which includes certain annual non-discretionary incentives based on predetermined objectives) as well as the value of core and optional benefits offered at BSC, which can be reviewed at www.bscbenefitsconnect.com. Actual compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, and other relevant business or organizational needs.
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.
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.
Among other requirements, Boston Scientific maintains specific prohibited substance testing requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a drug test as a pre-employment requirement. The goal of the drug testing is to increase workplace safety in compliance with the applicable law.
These jobs might be a good fit

Share
These jobs might be a good fit

Share
These jobs might be a good fit

Share
These jobs might be a good fit

Share
These jobs might be a good fit

Share
Key job responsibilities
As a Business Intelligence Engineer at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with massive-scale data and providing analytic support to product/program managers, engineers using these data. You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tooling/languages like SQL, Excel, Python and others, to translate the data into meaningful insights. You will have ownership of the insights you are building for the business, and will play an integral role in tactical decision-making for critical risk areas.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
These jobs might be a good fit