Senior Operations Data Analyst

United States of America, California, South San Francisco
Switzerland, Basel-City, Basel
Canada, Ontario, Mississauga
United Kingdom, Welwyn

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Relocation is not designated for this position.

The Individual Contributor in Business Insights & Analytics (BI&A) is a strategic thought partner to key stakeholders and an integral contributor to Genentech’s operational planning efforts. 

The specific role of Operations Data Analyst requires a mix of Forecasting, Data Analytics and Advanced Data Analytics capabilities. However, all Individual Contributors have the opportunity to blend and extend their expertise on different initiatives to further develop both the breadth and depth of their capabilities.

He/she is responsible for providing strategic operational insights with minimal guidance / supervision, leveraging their capabilities in the following areas of expertise:

  • Forecasting: creating time-series and/or patient-based forecasts; conducting uncertainty analyses
  • Data Analytics: designing and delivering advanced quantitative data analyses leveraging large/complex datasets

MAJOR RESPONSIBILITIES

Work with Team Leads (TLs), Franchise Leads, Study Management & Country Leaders, Study Management Teams, LSPC stakeholders, Lifecycle Teams to understand business needs and priorities, as well as immediate scope of work Create and manage tools with up-to-date industry information to build accurate short-and long-term forecasts Work with other team members to pull in insights from primary and secondary data, to continuously improve forecast methods and accuracy Communicate the effects that trial design elements, country and site selection, competitor activities and new engagement tactics will have on clinical trial recruitment & retention forecasts Provide technical/analytical expertise to team through secondary data analytics Apply analytical and statistical methods to answer a variety of business questions using multiple data sources and technical tools Monitor and assess the effectiveness of enrollment and engagement efforts, projects, and practices and identify opportunities to optimize value of investments Support the identification of appropriate sites and countries for trial placement Increase the sophistication and application of advanced analytics methods (including predictive modeling, machine learning, and scalable prototypes) to measure study performance and guide portfolio-level decisions efficiently and at the speed of business Act as subject matter expert for applicable advanced analytical methodologies, programs and projects Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making Openly share perspective and insights to elevate team thinking and drive a balanced, holistic point of view; effectively weigh and communicate trade-off considerations Take an enterprise and One PDG mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value Demonstrate self-accountability and integrity Demonstrate strategic agility and an ability to engage stakeholders to understand and diagnose business problems and recommend appropriate courses of action Look for opportunities for continuous improvement; engage managers and peer group regularly for coaching, assistance, and advocacy Stay current with and adopt emergent relevant methodologies, tools and applications to ensure fit-for-purpose and impactful approaches. Act as a thought partner and advisor to all relevant teams and stakeholders; look for and establish opportunities for peer mentorship Actively participate in cross functional communities, networks and/or knowledge-sharing bodies that enable broader and more effective use of insights and/or analytics that drive and support decisions Acquire, aggregate and/or curate data and information

WHO YOU ARE

In Individual Contributors, we are looking for people who are nimble, curious, able to effectively collaborate and lend expertise to multi-functional teams and adapt quickly to competing priorities within their Disease Area. We are also looking for people who are committed to continuing to make Genentech a great place to work, by seeking opportunities to develop their own and others’ expertise through ongoing mentorship and coaching.

  • "Self-starter"; strong sense of responsibility with demonstrable comfort in an entrepreneurial environment
  • Able to work effectively in a fluid, cross-functional, global matrixed environment and stand out as a successful collaborator
  • Strong interpersonal skills and a consultative mindset, with the ability to develop strong partnerships
  • Good problem-solving ability, breaking down complex problems into distinct parts, managing uncertainty, understanding, anticipating interdependencies
  • Able to proactively “connect the dots” by asking thought-provoking questions
  • Objective when presenting insights and guiding decision-making; demonstrate good presentation skills by pairing sound analytics with storytelling
  • Motivated to continuously improve performance; outcomes-focused and driven to achieve objectives
  • Able to lean in and manage through change

PREFERRED QUALIFICATIONS

  • Bachelor’s Degree (Business, Economics, Statistics, Mathematics, or Physical Sciences or related field is a plus); MBA or Graduate-level Degree is preferred
  • 7+ years of work experience with Bachelors; 5+ year of work experience with Masters; 4+ years of work experience with PhD/JD, preferably within pharmaceutical or biotech industry (commercial or clinical) and/or management consulting
  • Deep expertise in at least one of the following areas: Patient Insights, Investigator Insights, Forecasting, Competitive Intelligence, Data Analytics, Advanced Data Analytics, Resourcing, Information Visualization and/or Data Science
  • Experience with various forecasting methods and techniques preferred
  • Understands the advantages and limits of different analytical approaches
  • Considerable experience applying exploratory & confirmatory data analysis techniques that inform business decisions
  • Awareness of scripting, statistical & programming languages and analytical tools a plus (i.e. Python, Metlab, R, SAS, Google/Adobe analytics, SQL)
  • Autonomous or semi-autonomous examination of data or content
  • Demonstrated use of sophisticated techniques, tools & languages typically beyond those of traditional data analysis to discover deeper insights, make predictions, or generate recommendations
  • Experience acting as a strategic thought partner to teams; Entrepreneurial mindset, to transform the way we use data and analytics to enable decisions and hasten our delivery of medicines for our patients
  • Track record of effectively working in a matrix environment with international team members coming from scientific, business and operational backgrounds, using influence without authority
  • Expertise in standard analysis and presentation software (Excel, PowerPoint)
  • Ability to merge together data sets from disparate sources and report findings in a variety of formats and mediums
  • Persuasive written and verbal communication skills, easily communicating complex ideas.
  • Strong attention to detail
  • Experience managing outside vendors preferred