Director/TL, Analytics Engineering - Biopharma

Key Skills

Amazon RedShift, Apache Hadoop, Apache Hive, Apache Pig, Big Data Technology, biopharma MS software, Data Analytics, Data pipelines, Data science techniques, Data Visualization, Dataiku, Google BigQuery, Java Programming, Leadership Skill, Machine learning techniques, Oracle, Python Programming, Shell Scripting language, SPARK Programming, SQL, Sqoop, Teradata

Job Description

The ideal candidate is a self-motived team player, skilled in a broad set of Big Data processing techniques with the ability to adapt and learn quickly, provide results with limited direction, and choose the best possible data processing solution is a must.

ROLE RESPONSIBILITIES:

This person will be responsible for data collection and processing for core lines of business and will collaborate with various data scientists, instrumentation experts and engineering teams to identify requirements that will derive the creation of data pipelines. You will work closely with the Digital engineering team to understand the architecture and internal APIs involved in upcoming and ongoing projects. This role is accountable for delivering data engineering and BI solutions for commercial and will partner with Insight and Strategy, Data science, Market Research, Analytics Governance to develop and implement pipelines, reporting, and data products that drive brands’ strategic priorities.

• You are a top-tier analytics engineering leader with significant experience in forming teams, organizing processes and workflows, and mentoring/developing the managers what work on your team as well as junior team members.

• You are a hands-on leader who has demonstrated the ability to hire, build and develop high performing teams to meet the needs of a highly dynamic and complex business.

• You have a passion for applied empirical analytics and answering hard questions with data, and the demonstrated ability to conceptualize, promote and implement business insights via best in class data tools and visualizations.

• Translate business requirements by business team into data and engineering specifications

• Design and build scalable data sets and products based on engineering specifications from the available raw data and derive business metrics/insights

• Closely collaborate with marketing and business stakeholders to define and implement the data engagement relationships required with partners

• Partner with Digital Engineering team and identify server APIs that needs to be instrumented for data analytics and reporting and align the server events for execution in already established data pipelines

• Discover and understand complex data sets, identify and formulate correlational rules between heterogenous data sources for effective analytics and reporting

• Successfully bridge engineering and business with ability to speak the common language of both

• Provide coverage on ad-hoc data and analysis from diverse partners and automate those needs over time

• Work hand in hand with the Platform/Digital and DevOps team for platform/tool enhancements, monitoring and alerting on various data pipelines and jobs

• Experience in healthcare, Pharma, and their 3rd party data is a plus.

BASIC QUALIFICATIONS:

• Bachelor’s degree with 10+ years of experience OR Masters Degree with 9+ years of experience OR PhD with 2+ years of experience

• Degree preferably in engineering, economics, statistics, computer science, or related quantitative field.

• Relevant professional experience with Big Data systems, pipelines and data processing

• Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field

• Extensive professional experience with ETL, BI & Data Analytics

• Extensive professional experience with Big Data systems, data pipelines and data processing

• Deep expertise in Data Architecture, Data Modeling and task estimations.

• Familiarity with data privacy standards, methodologies and best practices

• Practical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake.

• Expertise in Python, Unix Shell scripting and Dependency driven job schedulers

• Expertise in Data visualization tools such as Tableau, Power BI is a plus

• Ability to understand API Specs, identify relevant API calls, extract data and implement data pipelines & SQL friendly data structures

• Familiarity with rule based engines & tools for multi stage data correlation on large data sets is a plus

• Excellent time management skills with the ability to manage work to tight deadlines and handle the pressure of executive requests and product launches

• Ability to deliver consistent high quality results while working in a dynamic & fast paced environment with extreme attention to detail and ability to self-audit work

• Strong communication, and presentation skills with meticulous attention to detail.

• Enthusiasm for excellence across all disciplines

• Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

Other Job Details:

• Hybrid or remote

The annual base salary for this position ranges from $156,900.00 to $261,500.00.* In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

* The annual base salary for this position in Tampa, FL ranges from $141,200.00 to $235,400.00.

Relocation assistance may be available based on business needs and/or eligibility.

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.