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Abbott

Makes heart devices, glucose sensors and lab tests

Data Science and Business Analytics Manager

Data ScienceConfirmed live in the last 24 hours
Full-timeAlameda, CA, USA$114k - $228k

About the Job

Requirements

  • A bachelor's degree in a related field or an equivalent combination of education and work experience is required.
  • A minimum of 9 years of related work experience is required.
  • Proficiency in using machine learning to solve clustering, classification, regression, anomaly detection, simulation, and optimization problems on large-scale data sets is required.
  • Strong hands-on experience and expertise in one or more big data technologies, such as Hadoop, Spark, H2O.ai, cloud artificial intelligence platforms, or containerization, is required.
  • Experience with enterprise market analytics, data management and mining, financial modeling, and market forecasting to measure business performance and marketing tactics effectiveness is required.
  • Experience utilizing big data sets with medical claims and/or longitudinal patient-level information is required.
  • Ability to manage multiple tasks concurrently under aggressive timelines in a dynamic and ambiguous environment is required.
  • Strategic thinking, executive presence capabilities, and attention to detail are required.
  • Advanced communication and presentation skills, including the ability to create impactful PowerPoint presentations with visual storytelling and adjust the story and details based on the audience, are required.
  • A deep understanding of analytical tools and dashboarding technologies, data warehousing, software, processes, and applications, including SQL, Tableau, AWS, Python, machine learning, and predictive analytics, is required.

Responsibilities

  • Work within an agile team in a dynamic, fast-moving, collaborative environment and design complex analytics models and algorithms that drive analytical solutions throughout the organization.
  • Develop statistical and machine learning models using classification, regression, clustering, and time series methodologies.
  • Perform causal inference analysis and study design using methods such as Difference-in-Differences, Synthetic Control, and geo experiments.
  • Analyze large amounts of data to discover trends and patterns and build analytics models.
  • Communicate complex ideas and results to technical and business or executive audiences.
  • Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance.
  • Create repeatable, interpretable, dynamic, and scalable models that are incorporated into analytics data products.
  • Conduct quantitative and qualitative data analyses around ambiguous problems using large data sets, including prescription, medical claims, and/or longitudinal patient-level data.
  • Build models and automated dashboards to monitor and optimize business performance, address business questions, inform business decisions, and develop revenue forecasts.
  • Optimize the impact of data and drive efficiency through advancement of analytical tools.
  • Ensure data and analysis accuracy and timely completion of deliverables while managing multiple projects.
  • Perform data analysis in local data warehouse environments using advanced SQL.
  • Maintain and update reports and dashboards within current data platforms.
  • Become a subject matter expert, trusted advisor, and source of truth for the Abbott Diabetes Care organization.
  • Interpret data trends and present data-driven strategic insights and actionable recommendations to senior leadership on business performance, operations, and customer insights.
  • Formulate analytical strategies to proactively address customer needs, solve business problems, achieve commercial and marketing objectives, and develop new business opportunities.
  • Partner with internal stakeholders, including commercial, marketing, and finance, and external stakeholders, including vendors and agencies, to align on business objectives, expectations, timelines, and action plans.
  • Communicate and collaborate within and beyond the team to cultivate teamwork and empowered partnerships.
  • Create an open environment built on trust, candor, and co-elevation principles.
  • Take accountability and offer help and support to colleagues.

Desired Qualifications

  • At least 5 years of experience in commercial or market analytics, preferably in healthcare in a market science or business analytics role.
  • An MBA or MS degree in Business, Finance, Data Science, or Statistics.
  • Strategic consulting experience.
  • Experience in diabetes, continuous glucose monitoring, or metabolic health; medical device commercial analytics experience is a strong plus.
  • Experience with healthcare claims data, including diagnosis, procedures, prescriptions, and remittance, is a plus but not required.
  • Experience with data visualization tools such as Power BI and Tableau.
  • Understanding of data architecture, with experience in Amazon Redshift and PostgreSQL as a plus.
  • Familiarity with Amazon SageMaker and AWS.
  • Understanding of advanced and predictive analytics techniques used in marketing mix modeling, segmentation analysis, and targeting efforts.

About the Company

Abbott

Makes heart devices, glucose sensors and lab tests

Abbott makes medical devices, diagnostic tests, nutrition products and branded generic drugs for hospitals, laboratories, pharmacies and patients. Its best-known product is the FreeStyle Libre, a coin-sized sensor worn on the upper arm that tracks blood sugar around the clock without routine finger pricks. Its other lines run from heart valves, pacemakers and brain stimulators to lab analyzers, rapid tests and mail-in colon cancer screening kits, and Abbott earns money by selling these products to health systems, labs, retailers and consumers. The company was founded in 1888 by Chicago physician Wallace Abbott and is based in Abbott Park, Illinois.

Company size
10,001+
Company stage
IPO
Headquarters
Abbott Park, IL
Founded
1888

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