Sr. Data Analyst, Medical Analytics (Remote)

Sorcero

3d•$120,000 - $150,000•Remote

About The Position

We are looking for a Medical Analytics Sr. Data Analyst to play a crucial role in driving the successful adoption and ongoing satisfaction of AI solutions in life sciences companies. This dynamic position requires a blend of technical expertise including data analytics, strategic thinking, business acumen and superior customer relationship management skills. The successful candidate will lead medical analytics processes, standardization and scalability of data visualization within the medical suite, translating customer goals to product, while developing strategies for long-term customer satisfaction and retention. Responsibilities will range from managing complex technical challenges to identifying new growth opportunities, collaborating with the customer experience and product teams. This role under the Data Analytics team part of Technical Operations is instrumental in shaping a customer-centric and product excellence approach, enabling Sorcero to keep pace with the rapid development of analytic expectations and driving the continuous improvement and expansion of the Sorcero AI platforms in the life sciences sector. The ideal candidate will be adept at balancing technical know-how with business acumen, effectively bridging the gap between customer needs and technological solutions.

Requirements

Bachelor's degree in Data Science, Computer Science, Statistics, Information Systems, or a related quantitative field.
5+ years of experience in data analysis, with a significant focus on data mapping, data transformation, and schema management.
At least 3 years of experience with Life Sciences and Healthcare data.
Proven experience in reviewing and understanding complex datasets from various sources.
Strong proficiency in SQL for data querying, manipulation, and profiling.
Proficiency in at least one scripting language for data analysis and automation (e.g., Python with libraries like Pandas).
Solid understanding of different data structures, formats (e.g., JSON, CSV, XML), and database schemas (relational, non-relational).
Experience with ETL/ELT concepts and processes.
Excellent analytical and problem-solving skills with a keen attention to detail.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Ability to translate business requirements and AI data needs into technical data mapping specifications.
Must be located within the US.

Nice To Haves

Master's degree in a relevant field.
Experience working with customer data platforms (CDPs) or CRM systems (e.g., Salesforce, VEEVA).
Familiarity with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift).
Understanding of data preparation requirements for AI/Machine Learning models.
Experience with data visualization tools (e.g., Tableau, Power BI).
Experience with statistical analysis (descriptive and inferential statistics).
Familiarity with cloud data platforms (e.g., AWS, Azure, GCP).
Knowledge of data governance principles and best practices.
Experience working in a startup environment.
Experience working in an Agile development environment.

Responsibilities

Collaborate with the technical operations team and the sales team to support customer implementations.
Translate customer analytics requirements into product implementation plans.
Provide clear requirements to the product team based on customer needs.
Ensure that all implementation milestones are met as agreed upon with the customer.
Lead efforts to develop, communicate and manage customer goal specific analytics implementation project timelines, resource allocation, and deliverables for new and existing implementations
Provide regular insights to senior management on Analytics trends, Customer feedback, and growth opportunities
Contribute to develop and execute strategies for long-term Customer satisfaction and retention
Develop and implement best practices for targeting customer analytic goals and measures of success
Gather and act on Customer feedback to enhance analytic features including dashboards and reports
Scoping, prototyping of analytic elements within the Medical Suite with Product aligned to core use cases and customer need
Standardization of visualizations available to serve Medical Solutions (Dashboards)
Future planning to meet customer need in line with evolution of Sorcero Analytics capabilities and technology partnerships in the Business Analytics space
Contributing to the creation and mainteinance of the Medical Analytics Playbook and external facing change management resources (including customer trainings) associated with customer use of dashboards and reports
Providing support for Sales Enablement with Marketing and Sales as related to this capability and in line with commercial expansion and retention strategy
Identify and develop new opportunities to expand our analytic capability in AI solutions in life sciences companies
Conduct technical discovery sessions and create detailed proposals aligning our AI capabilities with Customer needs
Serve as Analytics Capabilities Evangelist SME on calls with prospects in Customer meetings, articulating our value proposition
Support Solutions Engineering in developing custom demos for prospects and data extracts for solutioning