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Data Analyst

00068734121



Job Summary

We are seeking an experienced Lead Data Engineer with 8 to 12 years of expertise in Snowflake Machine Learning Python and SQL scripting. The role involves analyzing complex datasets deriving actionable insights and contributing to data-driven decision-making in a hybrid work model with day shifts.


Responsibilities

  • Analyze large and complex datasets to identify trends patterns and actionable insights that align with business objectives
  • Develop and maintain scalable data pipelines using Snowflake to ensure efficient data storage and retrieval
  • Apply machine learning techniques to solve business problems and improve predictive analytics capabilities
  • Write efficient and optimized SQL scripts to query and manipulate data for reporting and analysis
  • Collaborate with cross-functional teams to understand data requirements and provide solutions that meet organizational goals
  • Create and maintain dashboards and visualizations to present data insights in a clear and impactful manner
  • Ensure data accuracy and integrity by implementing robust data validation and quality checks
  • Provide technical expertise in Python programming to automate data processing tasks and streamline workflows
  • Conduct exploratory data analysis to uncover hidden insights and opportunities for business growth
  • Stay updated with industry trends and advancements in data analytics and machine learning to continuously improve processes
  • Document data processes methodologies and findings to ensure knowledge sharing and continuity
  • Support ad-hoc data analysis requests and deliver timely insights to stakeholders
  • Collaborate with IT teams to ensure seamless integration of data systems and tools. Qualifications
  • Demonstrate strong proficiency in Snowflake for data warehousing and analytics
  • Showcase expertise in machine learning algorithms and their practical applications
  • Exhibit advanced skills in Python programming for data manipulation and automation
  • Possess deep knowledge of SQL scripting for querying and managing relational databases
  • Display excellent problem-solving skills and the ability to work with complex datasets
  • Have a solid understanding of data visualization tools and techniques
  • Show familiarity with data governance and best practices for ensuring data quality
  • Demonstrate effective communication skills to present findings to non-technical stakeholders
  • Possess a bachelors degree in computer science data analytics or a related field
  • Hold a proven track record of delivering impactful data-driven solutions in previous roles
  • Exhibit strong collaboration skills to work effectively with cross-functional teams
  • Show adaptability to hybrid work environments and the ability to manage tasks independently.

    • Certifications Required

    Snowflake Certified Data Engineer Python for Data Science Certification SQL Programming Certification

    About Cognizant: 
    Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap 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, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

    Additional employment information
    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.

    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] for roles based in the Americas or [email protected] for roles based in India.

    Benefits that help you thrive and grow

    Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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    Financial wellbeing

    We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.

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    Physical and mental health

    We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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    Your career, your way

    With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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    Real-world impact

    Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

    Your path to Cognizant

    Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

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    Step 1: Apply to the right opportunity

    Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

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    Step 2: Connect with your recruiter

    If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

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    Step 3: Show off your skills

    If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

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    Step 4: Decision time

    Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

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