What Does a great Analytics Professional do at Fiserv?
Fiserv is looking for a talented analytical professional who plays a crucial role in an organization by leveraging their skills and expertise to extract valuable insights from data, enabling data-driven decision-making and contributing to the organization's success. Using product knowledge, subject matter expertise and technical skills, you will provide the highest level of service to resolve the client/customer's issues.
What will you do:
- Deep dive data analysis, detect patterns in data and present analysis to business
- Work with business for requirements gathering and building analytical solution
- Understand business drivers and how data is used to inform and drive decisions and behaviors.
- Conducting complex analysis using statistical and other quantitative techniques.
- Work with large volumes of data and apply ML techniques towards solving business problems
- Experience with data manipulation, feature engineering, and data preprocessing techniques.
- Applying statistical methods & techniques for problem solving
- Ensure timely delivery of the project
- Results are oriented towards excellent communication and interpersonal skills.
- Communicate validation findings and recommendations to stakeholders in a clear and concise manner, both verbally and through written reports or presentations.
- Effective communication stakeholders.
What you will need to have:
- Bachelor’s degree in Statistics/mathematics or equivalent qualification
- 3-5 years of experience in solving business problems by applying advanced statistics.
- Hands-on experience of statistical tools like Python and R.
- Expertise in Python with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Hands-on experience with machine learning frameworks along with solid understanding of statistical modeling, hypothesis testing, and experimental design.
What would be nice to have:
- Good to have analysis using Cloud databases like Snowflake and Azure.
- Knowledge of GenAI and its usage.
- Good to have banking and Payment domain.
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