Minimum Salary: -

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS.

• Take primary ownership in driving both self and team efforts across all phases of the project lifecycle, ensuring alignment with business objectives.
• Translate business requirements into technical specifications and lead team efforts to design, build, and manage technology solutions that effectively address business problems.
• Develop and apply advanced statistical models and leverage analytic techniques to utilize data for guiding decision-making for clients and internal teams.
• Apply appropriate development methodologies (e.g., agile, waterfall) and best practices (e.g., mid-development client reviews, embedded QA procedures, unit testing) to ensure successful and timely project completion.
• Partner with project and program leads to deliver projects and assist in project management responsibilities, including project planning, people management, staffing, and risk mitigation.
• Collaborate with team members globally, ensuring seamless communication, sharing responsibilities, and undertaking tasks effectively.
• Manage a diverse team of skill sets (programmers, cloud analysts, BI developers, reporting, operations, etc.), mentoring and coaching junior members to enhance their skills and capabilities.
• Lead task planning and distribution across team members, ensuring timely completion with high quality and providing accurate status reports to senior management.
• Design custom analyses in programming languages (e.g., R, Python), data visualization tools (e.g., Tableau), and other analytical platforms (e.g., SAS, Visual Basic, Excel) to address client needs.
• Synthesize and communicate results to clients and internal teams through compelling oral and written presentations.
• Create project deliverables and implement solutions, while exhibiting a continuous improvement mindset and the capability to learn new technologies, business domains, and project management processes.
• Guide and mentor Associates within teams, fostering a collaborative environment and enhancing team performance.
• Demonstrate advanced problem-solving skills, ensuring the team continuously improves its capabilities and approaches to challenges.
• Exhibit a proactive approach to decision-making, considering the broader picture, especially regarding technical nuances and strategic planning.

• Education: Bachelor's or Master's degree in Computer Science, Engineering, MIS, or related fields, with strong academic performance, especially in analytic and quantitative coursework.
• Experience:
  • Consulting Industry: 4-6 years of relevant consulting experience, ideally in medium-to-large scale technology solution delivery projects
  • Technical Skills:
    • 1+ year of hands-on experience in data processing solutions, data modeling, and experience with ETL technologies (e.g., Hadoop, Spark, PySpark, Informatica, Talend, SSIS).
    • Proficiency in programming languages like Python, SQL, Java, Scala, and understanding of data structures.
    • Experience with cloud platforms such as AWS, Azure, or GCP, and exposure to distributed computing.
    • Deep expertise in SQL and data management best practices, with a focus on data analytics and visualization.
  • Consulting/Project Leadership:
    • Proven experience leading project teams and managing end-to-end delivery, mentoring team members, and maintaining high standards.
    • Ability to translate complex data and analytics concepts into accessible presentations and frameworks for both technical and non-technical stakeholders.
    • Deep understanding of data management best practices and data analytics methodologies, ensuring high-quality data insights.
    • Effective in a global team environment with a readiness to travel as needed.