Job Description: Data Analyst
Overview:
This person is part of the DO Analytics Team. Responsibility includes understanding
the book of work done in CMT DO Analytics, Understand the DO Analytics team
structure, Various accounts/clients, know key stakeholders and Methodology used in
projects. Get hands on experience with DO Analytics platforms.
The Data Analyst team is responsible to develop, maintain different types of
databases, tables, table structure and schema, reports and reporting tools daily like
spreadsheets, PLX scripts, Dashboards, auto mailers etc. Reporting with internal
and external stakeholders and other team members as needed. This is a critical
team for the project as we deal with huge data regularly which is to be reported real
time to teams globally across various functions and teams like Operations, Program
management, Product data science, Data warehouse, Engineering, etc.
Roles:
Data Analyst-I, Data Analyst-II, Data Analyst-III,
Senior Data Analyst
Data Analyst-I
Experience:
0-4 Years in Data analytics
Key Responsibilities:
• To collect, interpret and analyze critical datasets
• Strong analytical and data interpretation skills; detail-oriented, creative,
persistent, and self-motivated.
• Ability to learn quickly
• Reporting formatted results to the relevant members of the business
• Identifying and highlighting patterns and trends in data sets
Required Skills:
• Experience with product analytics tools, such as Google analytics,
Google data studio
• Basic understanding of SQL queries
• Excellent critical thinking skills
• Excellent verbal and written communication skills
Good to Have Skills:
• Basic understanding of different programming languages
Data Analyst-II
Experience:
4-8 Years in Data analytics
Key Responsibilities:
• To collect, interpret and analyze critical datasets
• Strong analytical and data interpretation skills; detail-oriented, creative,
persistent, and self-motivated.
• Reporting custom formatted results to the relevant members of the
business
• Identifying and highlighting patterns and trends in data sets
• Working alongside teams within the business or the management team
to establish business needs
• Defining new data collection and analysis processes
• Designing statistical models, solutions and different types of
frameworks
Required Skills:
• Experience with product analytics tools, such as Google analytics,
Google data studio
• Good with SQL queries
• App scripting knowledge to automate sheets and documents
• App scripting knowledge to automate regular emails and respective
contents
• Analyze and solve complex cases using process knowledge
• Excellent critical thinking skills
• Excellent verbal and written communication skills
Good to Have Skills:
• Good understanding of different programming languages
• Basic Understanding and in Data mining
Data Analyst-III
Experience:
8+ Years in Data analytics
Key Responsibilities:
• To collect, interpret and analyze critical datasets
• Strong analytical and data interpretation skills; detail-oriented, creative,
persistent, and self-motivated.
• Must be comfortable managing multiple projects while working under
tight deadlines. Ability to learn quickly
• Reporting custom formatted results to the relevant members of the
business
• Identifying and highlighting patterns and trends in data sets
• Working alongside teams within the business or the management team
to establish business needs
• Defining new data collection and analysis processes
• Managing a team of Data Analysts
• Designing statistical models, solutions and different types of
frameworks
Required Skills:
• Experience with product analytics tools, such as Google analytics,
Google data studio
• Excellent with SQL queries
• App scripting knowledge to automate sheets and documents
• App scripting knowledge to automate regular emails and respective
contents
• Analyze and solve complex cases using process knowledge
• Excellent critical thinking skills
• Excellent verbal and written communication skills
Good to Have Skills:
• Good understanding of different programming languages
• Good Understanding and experience in Data mining
• Machine learning - Working knowledge of different learning algorithms
Senior Data Analyst
Experience:
4+ Years Experienced Data analytics with exceptional SQL scripting skills, SQL
Development skills along with very strong Analytical, problem solving and stakeholder
management skills as well as excellent communication skills
Key Responsibilities:
• To collect, interpret and analyze critical datasets
• Interpret & Data Analysis Reporting Results using dashboards
• Understand data and frame SQLs to collect, interpret and analyze the data to
derive meaningful insights
• Excellent communication skills
• Should be able to troubleshoot issues and resolve per agreed SLA along with
detailed RCA Review reporting infrastructure
• Write SQL to create additional data sources, metrics and breakdowns
• Strong analytical and data interpretation skills; detail-oriented, creative,
persistent, and self-motivated.
• Must be comfortable managing multiple projects while working under
tight deadlines. Ability to learn quickly
• Reporting custom formatted results to the relevant members of the
business
• Identifying and highlighting patterns and trends in data sets
• Working alongside teams within the business or the management team
to establish business needs
• Defining new data collection and analysis processes
• Designing statistical models, solutions and different types of
frameworks
• Project Planning and Set-up- Understand project scope Based on the
analysis of the type of the project provide inputs on project methodology to
senior stakeholders
Required Skills:
• Experience with product analytics tools
• Excellent with Advanced SQL queries
• Analyze and solve complex cases using process knowledge
• Excellent critical thinking skills
• Excellent verbal and written communication skills
Good to Have Skills:
• Good understanding of different programming languages
• Experience with product analytics tools, such as Google analytics,
Google data studio, Looker or GCP domain skills
• Good Understanding and experience in Data mining
• Machine learning - Working knowledge of different learning algorithms
• Some experience on R or Python is a plus
• Managing a team of Data Analysts

Job Summary

We are seeking a Sr. Developer with 8 to 12 years of experience in Analytics Analysis and Design along with expertise in Industry Essentials. The role involves working in a hybrid model with day shifts. The ideal candidate will contribute to the development and enhancement of our systems ensuring they meet the highest standards of performance and reliability.

Responsibilities

Lead the development and implementation of advanced analytics solutions to support business objectives. Oversee the analysis and design of complex systems ensuring they align with industry best practices. Provide technical expertise in Industry Essentials to guide project teams and stakeholders. Collaborate with cross-functional teams to gather and analyze requirements translating them into technical specifications. Develop and maintain high-quality code ensuring it meets performance security and scalability standards. Conduct thorough testing and debugging of applications to ensure optimal functionality. Mentor and support junior developers fostering a culture of continuous learning and improvement. Stay updated with the latest industry trends and technologies incorporating them into development practices. Ensure all development activities comply with company policies and regulatory requirements. Participate in code reviews providing constructive feedback to peers. Document all aspects of the development process ensuring clear and comprehensive records. Work closely with project managers to ensure timely delivery of projects within scope and budget. Contribute to the continuous improvement of development processes and methodologies.

Qualifications

Possess strong analytical and problem-solving skills with the ability to design effective solutions. Demonstrate expertise in advanced analytics and data analysis techniques. Have a deep understanding of system design principles and best practices. Show proficiency in programming languages and development tools relevant to the role. Exhibit excellent communication and collaboration skills with the ability to work effectively in a hybrid model. Display a strong commitment to quality and attention to detail. Maintain a proactive approach to learning and professional development. Have experience in mentoring and supporting junior team members. Understand and apply industry standards and regulatory requirements in development activities. Be capable of managing multiple tasks and projects simultaneously. Demonstrate the ability to work independently and as part of a team. Show a strong track record of delivering high-quality software solutions on time and within budget. Possess a relevant certification in analytics or software development.

Certifications Required

Certified Analytics Professional (CAP) Certified Software Development Professional (CSDP)

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 is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Our commitment to diversity and inclusion:
Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. 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 protected characteristic as outlined by federal, state or local laws.

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.