Job Summary
We are seeking a highly skilled Sr. Developer with 8 to 12 years of experience in Analytics & Insights and Analytics with a strong domain expertise in Networks. The role is hybrid with a day shift schedule and no travel required. The ideal candidate will contribute to our innovative projects and help drive impactful solutions.
Responsibilities
- Lead the development and implementation of advanced analytics solutions to drive business insights and decision-making.
- Oversee the design and deployment of data models and algorithms to analyze network performance and optimize operations.
- Provide technical expertise in the integration of analytics tools and platforms within the network domain.
- Collaborate with cross-functional teams to identify and address data-driven opportunities for improvement.
- Develop and maintain comprehensive documentation for analytics processes and methodologies.
- Ensure the accuracy and reliability of data used for analytics and reporting.
- Monitor and evaluate the effectiveness of analytics solutions and make recommendations for enhancements.
- Mentor and guide junior developers in best practices for analytics and network-related projects.
- Stay updated with the latest trends and technologies in analytics and network domains.
- Contribute to the continuous improvement of analytics frameworks and tools.
- Support the development of predictive models to forecast network performance and potential issues.
- Communicate complex technical concepts to non-technical stakeholders effectively.
- Ensure compliance with data governance and security policies in all analytics activities.
Qualifications
- Possess strong expertise in analytics and insights with a focus on network performance.
- Demonstrate proficiency in using analytics tools and platforms for data analysis and reporting.
- Have a solid understanding of network technologies and their impact on data analytics.
- Exhibit excellent problem-solving skills and the ability to work collaboratively with cross-functional teams.
- Show experience in developing and implementing predictive models for network optimization.
- Display strong communication skills to convey technical concepts to diverse audiences.
Certifications Required
Certified Analytics Professional (CAP) Cisco Certified Network Professional (CCNP)
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
- Cognizant is a global community with more than 300,000 associates around the world.
- We don’t just dream of a better way – we make it happen.
- We take care of our people, clients, company, communities and climate by doing what’s right.
- We foster an innovative environment where you can build the career path that’s right for you.
About us:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.