Engagement Lead - General

Procdna Analytics; Gurugram District; Presencial; INR 2.500.000 - 4.000.000; Jornada completa

Descripción de la vacante

ProcDNA is a global consulting firm seeking an Engagement Lead to leverage data for strategic insights in healthcare and pharma sectors. You will collaborate with clients to model data, devise strategic solutions, and deliver measurable outcomes.

You will guide analytics projects, mentor Team Leads, and apply tools like Tableau, SAS, R, and Alteryx to build tailored analytics solutions that improve patient outcomes and cost management.

Formación

• Bachelor's degree in Engineering and 5+ years of analytics experience.
• Experience with statistical analysis, predictive modeling, segmentation and forecasting.
• Ability to manage multiple projects for multiple stakeholders with quality mindset.
• Strong understanding of industry trends, regulations, and competitive landscapes.
• Excellent verbal and written communication for effective collaboration.

Responsabilidades

• Leverage emerging technologies to address healthcare/pharma analytics challenges.
• Collaborate with clients to model data and solve complex business issues.
• Analyze data to aid strategic decision-making using Tableau, SAS, R, and Alteryx.
• Develop tailored healthcare analytics solutions to improve outcomes and costs.
• Understand data and processes to deliver impactful outcomes.
• Develop and implement innovative solutions while mentoring Team Leads.

Conocimientos

5+ years analytics

Statistical analysis

Predictive modeling

Go-to-market strategy

Segmentation

Forecasting

Data storytelling

Communication skills

Multitasking

Educación

Bachelor's in Engineering

Herramientas

Tableau

SAS

R

Alteryx

Descripción del empleo

Unleashing Data for Strategic Insights

Position: Engagement Lead

Analytical Toolkit: Microsoft Excel, PowerPoint, SQL or PythonTableau, SAS, R, Alteryx, etc)

Location: Gurugram

About ProcDNA

ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. Were a passionate team of 200+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you wont be stuck in a cubicle - youll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isnt just encouraged,its ingrained in our DNA.

What we are looking for

As the Engagement Lead, you ll leverage data to unravel complexities, adept at devising strategic solutions that deliver tangible results for our clients. We are seeking an individual who not only possesses the requisite expertise but also thrives in the dynamic landscape of a fast-paced global firm.

What you ll do

• Seeking an individual experienced in leveraging emerging technologies and best practices to address healthcare/pharma industry challenges.
• Collaborate with clients to model data and solve complex business issues.
• Analyze to aid strategic decision-making, utilizing tools like Tableau, SAS, R, and Alteryx.
• Develop tailored healthcare analytics solutions to improve patient outcomes and cost management.
• Gain a comprehensive understanding of data and processes to deliver impactful outcomes.
• Develop and implement innovative solutions along with coaching, guiding, and mentoring Team Leads in the team

Must have

• Candidates with a Bachelors degree in Engineering and 5+ years of strong analytics experience.
• Individuals with experience in statistical analysis, predictive modeling, Go-to-market strategy, segmentation, Forecasting, Sizing, Alignment, Targeting, and analyzing large datasets to derive insights and make data-driven decisions.
• Ability to work on and manage multiple projects for multiple stakeholders, with a quality mindset
• Deep understanding of their Industry, including market trends, regulatory frameworks, and competitive landscapes.
• Excellent verbal and written communication skills, essential for effective collaboration.
• Proven ability to work creatively and analytically with minimal direction.