Do you want to be a part of commercializing the next generation of life-saving therapies? Do you thrive on solving diverse real-world problems and driving business performance? Are you eager to contribute to the growth of an early-stage startup? If so, come join us in this exciting journey towards becoming a leader in analytics and technology consulting for the life sciences industry!
About Us
ProcDNA is a global consulting firm focused on delivering cutting-edge Commercial Analytics and Technology solutions for life sciences companies. We collaborate closely with our clients, partnering to achieve their strategic objectives. Our team combines design thinking, advanced technology, and a client-first approach to create lasting impact.
Founded at the onset of the pandemic, ProcDNA has grown organically to over 200 professionals and counting. We pride ourselves on fostering a culture of continuous learning, new opportunities, and professional growth. At ProcDNA, you won’t be confined to a single lane—you’ll be swimming in open waters. Join us and become a part of our dynamic growth story.
Why consider this role?
At ProcDNA, you will work as a client champion across various domains to get a holistic understanding of client needs. You will partner directly with senior team members and get an accelerated learning path, which of course will propel your personal and professional growth.
What are we looking for?
We are looking for an Engagement Lead - Analytics to join our team. You are someone who has good understanding of the pharmaceutical industry, have detailed knowledge of various datasets like LAAD, DDD, XPO, etc., enjoys working on complex data sets to help clients solve diverse real-world problems and drive business performance, navigate risk, and develop pragmatic strategies through data-driven insights.
What you'll do:
- Focus on leveraging emerging technologies and best business practices to solve some of the challenges in the healthcare/pharma industry
- Develop relation with the client leadership to act as a thought leader and propose new avenues for both client and ProcDNA growth in terms of offerings
- Work with clients to structure and model the data to solve complex business problems
- Design and run analysis for helping clients with strategic decision-making alongside managing team internally. This would include designing, implementing, and improving statistical models, Business Intelligence, and other analytical tools
- Extensive experience in designing advanced healthcare analytics tools and delivering applications in Tableau, SAS, R, Alteryx, etc. to improve outcomes for patients while managing costs
- Develop and leverage in-depth understanding of data and processes for better project delivery
- Create a structure around recurring tasks and operationalize them
- Work alongside clients to develop tailored solutions to create impactful outcomes
- Develop and implement innovative solutions along with coaching, guiding, and mentoring Team Leads in the team
- Have a Proactive and not Reactive approach to work when needed
- Build, and ideate internal offerings to help the company/team grow on aspects beyond project/client work
Must have:
- 5+ years of relevant experience with healthcare/ pharma consulting and clients.
- Bachelor's or Master's degree in Engineering or STEM with strong academic performance.
- Experience in interacting with clients directly, discussing requirements and stakeholder management
- Experience in requirement gathering and designing enterprise warehouse solutions from scratch Hands-on experience with ETL tools like ADF, Databricks, Informatica
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience in Warehouse: SQL/NoSQL, Amazon Redshift, Snowflake, Apache Hive, HDFS etc.
- BI tools knowledge and experience in leading implementation of dashboards
- Deep understanding of data governance and data quality management frameworks
- Strong communication and presentation skills
- Strong problem-solving attitude
- Excellent analytical, problem solving and debugging skills, with strong ability to quickly learn and comprehend business processes and problems in order to effectively develop technical solutions to their requirements
