About
We are looking for a Medical Analytics Senior 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
Implementation and Customer Success
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. Medical Suite Analytics
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 maintenance 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. Business Solutions
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. Required Qualifications
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. Preferred Skills
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. Compensation and Benefits
Sorcero is a remote and globally distributed team. We offer rewarding compensation that will include a base salary in the range of $120,000 – $150,000 depending on experience and location. Three weeks PTO + 1 week of December holiday recess. One week Safe & Sick leave. 10 company holidays + 2 floating holidays. Medical, dental and vision benefits for you and your family. Paid parental bonding leave. 401(k) retirement plan, company match up to 5%. Company-provided laptop and hardware. Sorcero is an Equal Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, education, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics and celebrate the diversity of its growing team. We are unable to sponsor or take over sponsorship of employment visas at the present time.
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Languages
- English
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