Sr. Analytics Engineer

Twin Health 

At Twin Health, we empower people to reverse, prevent and improve chronic metabolic diseases. Twin Health invented The Whole Body Digital Twin™ , a dynamic representation of each individual’s unique metabolism, built from thousands of data points collected daily via non-invasive sensors and self-reported preferences. The Whole Body Digital Twin delivers a new standard of care, empowering physicians and patients to make personalized data-driven decisions. 

Working here  

Our team is passionate, talented, and driven by our purpose to improve the health and happiness of our members. Our culture empowers each Twin to do what’s needed to create impact for our members, partners, and our company, and enjoy their experience at work. Twin Health was awarded Innovator of the Year by Employer Health Innovation Roundtable (EHIR) (out of 358 companies), named to the 2021 CB Insights Digital Health 150, and recognized by Built In's 2022 Best Places To Work Awards. Twin Health has the backing of leading venture capital funds including ICONIQ Growth, Sequoia, and Sofina, enabling us to scale services in the U.S. and globally and help solve the global chronic metabolic disease health crisis. We have recently announced broad and growing partnerships with premier employers, such as Blackstone and Berkshire Hathaway. We are building the company you always wished you worked for. Join us in revolutionizing healthcare and building the most impactful digital health company in the world!

Excited to join us and do your part in improving people’s health and happiness?

Sr. Business Intelligence Developer

RESPONSIBILITIES:

 Collaborate with business stakeholders, analyze user requirements, and manage delivery of
scalable analytics solutions
 Leverage Tableau to create interactive Stories, dashboards, and visualizations to solve complex
business problems and strengthen decision-making capabilities among the senior leadership
teams
 Create compelling and dynamic BI visualizations that are intuitive and responsive for end-users
 Transform complex reporting needs into technical specifications, including calculations, custom
groups, parameters, filtering criteria, aggregations etc.
 Lead the exploration and analysis of large, complex datasets to identify trends, patterns, and
insights.
 Develop predictive models, machine learning algorithms and statistical analyses to solve
business problems like forecasting, customer segmentation etc.
 Implement data preprocessing and feature engineering techniques to prepare data for
modeling.
 Evaluate model performance and make necessary adjustments.
 Running meetings with all levels of stakeholders (executive leadership, VP, manager, IC) to
advance the organization's highest-visibility analytics projects.
 Partner with business to design tableau KPI scorecards dashboards
 Conducting unit tests and developing database queries to analyze the effects and troubleshoot
any issues.
 Work with management and other business stakeholders to create dashboard prototypes.
 Support test case scenario's and partner with UAT teams
 Design architecture for tracking key business metrics in real-time using Salesforce, Tableau and
other common B2B SaaS technologies.
 Reviewing the work of junior team members and providing thought leadership on approaches to
complex analytics and visualization requirements.
 Owning the validation, clean-up, and governance of data
 Own the creation and delivery of operational reports and executive dashboards used to drive
key business results.
 Develop and document standards/best practices for development and administration of the
Tableau
 Continuously seek improvements in all areas of reporting including, but not limited to, analysis,
data, tools, process, performance, and data quality.
 Troubleshoot data issues, validate result sets, recommend, and implement process
improvements.
 Research and understand trends in Business Intelligence visualization products.
 Work with team members to create and automate health reports to continuously monitor the
integrity of the data we touch
 Troubleshoot data issues related to reporting and database systems as they arise
 Lead tasks to monitor, analyze and improve reporting system performance, accuracy and
efficiency.
 Ensure consistency by adhering to a set of style rules and guidelines

QUALIFICATIONS:
 Ability to thrive in an extremely fast-paced environment
 University Bachelor's Degree in computer science or software engineering
 A minimum 7 years of proven experience using statistical languages Python, R and SQL to
manipulate data and draw insights from large datasets.
 At least 4 years of experience building top-class visualizations using Tableau. Have a passion for
data visualization and are a champion for standard methodologies and data governance across
the company.
 Knowledge of a variety of machine learning techniques (classification, regression, clustering, and
forecasting) and their real-world applications.
 Knowledge of advanced statistical techniques and concepts (ex. regression, properties of
distributions, statistical tests, and proper usage, etc.) and experience with applications.
 Knowledge and experience in Text mining, social network analysis and Deep learning.
 Manage highly complex analytical projects from data exploration, model building, performance
evaluation & testing.
 Experience with creating data models for self- serve dashboards.
 Experience writing advanced and complex queries
 Excellent communication skills.