Business Insights & Analytics, Sr. Specialist

Job Description

Overview: 

The Sr. Specialist (SR) will be an integral part of the Human Health Digital and Data Analytics (HHDDA) group. In this role, the SR will act as a strategic thought partner for marketing stakeholders, actively collaborating and providing data driven insights to help shape commercial decisions. In this role, the candidate will be responsible for providing strategic consulting to stakeholders, collaborating to identify and define business questions. They will then lead cross-functional teams in designing and delivering scalable solutions and valuable insights that address key business questions aligned with business priorities. 

The SR may also play a key role in measuring the impact of promotional programs and providing recommendations on how best to optimize future promotional spend through data-driven insights. The SR should possess strong presentation skills, capable of effectively communicating complex methodologies, insights, and results to senior leadership in a concise manner. 

Requirements

• Strong communication and leadership skills to effectively develop and present insights and recommendations to key stakeholders 

• Ability to create concise, decision-driven presentations that inform tactical, and investment decisions made by US marketing. 

• Demonstrated experience in client and project management, including the ability to manage multiple analytical projects simultaneously 

• Ability to perform Hands-on analytics across multiple data sources to validate and triangulate insights. 

• Willingness to learn new data, methodologies/analytical techniques in the role  

• Experience working with pharmaceutical/healthcare claims, personal & non personal promotional data. 

• Minimum of 3 years of experience in developing strategic insights for senior leaders. 

• Proficiency in database management systems and modeling languages preferred (Python, SAS, SQL) as well as expertise with Microsoft Excel and PowerPoint. 

Preferred (but not required):

• Prior Consulting, Pharmaceutical, Healthcare and/or Oncology Experience 

• Prior hands-on experience working with pharma data (DDD, Patient level data (APLD), EMR/EHR data sets, Lab datasets, prescription datasets (retail/nonretail HCP-Payer-plan-product level data), specialty pharmacy) is preferred.  

• Experience working in Oncology is highly preferred 

• Familiarity with analytical tools such as SQL, Python, Databricks and Dataiku. 

• Demonstrated experience in predictive modeling techniques and model interpretation.  

• Experience with marketing mix modeling projects. 

• Experience in performing return on investment (ROI) analytics. 

Education:  

• Undergraduate degree is required 

• MBA or Master’s or Doctorate degree in Mathematics, Economy, Computer Science, Statistics, Decision Science, Marketing, Engineering, Public Health, Biological Sciences, Nursing, Pharmacy, Medical Sciences is preferred. 

NOTICE FOR INTERNAL APPLICANTS

In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.

If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace.  All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
 

EEOC Know Your Rights

EEOC GINA Supplement​

Pay Transparency Nondiscrimination

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

The Company is required to provide a reasonable estimate of the salary range for this job in certain states and cities within the United States. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.

Expected US salary range:

$111,400.00 - $175,300.00

Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Regular

Relocation:

Domestic

VISA Sponsorship:

No

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

N/A

Required Skills:

Microsoft Excel, Microsoft PowerPoint, Python (Programming Language), Structured Query Language (SQL)

Preferred Skills:

Business

Job Posting End Date:

11/7/2024

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

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