60 Statistics jobs in Bengaluru

Job Description

What does a successful Statistical Analyst do at Fiserv?

Fiserv is looking for a talented analytical Advisor who plays a crucial role in helping clients make informed decisions based on data-driven insights. Fiserv offers a range of solutions for financial institutions, businesses, and merchants, analytics lead contributes to the success of these solutions by providing expert guidance on utilizing data effectively. Using product knowledge, subject matter expertise and technical skills, he will provide the highest level of service to resolve the client/customer's issues.

What you will do:

• Create comprehensive strategies to proactively identify and mitigate potential challenges and opportunities. Collaborate with cross-functional teams to ensure alignment with company objectives.
• Oversee and analyze large datasets to identify patterns, trends, and anomalies. Utilize statistical modeling, machine learning algorithms, and data visualization tools to gain actionable insights and drive data-driven decision-making.
• Evaluate and optimize systems and technologies. Implement improvements to enhance the accuracy and efficiency of data analysis.
• Develop and maintain regular reports on key metrics, trends, and insights. Present findings to stakeholders, recommending appropriate actions based on analysis.
• Stay abreast of the latest trends, tools, and technologies in your field. Identify opportunities to enhance existing processes and methodologies, driving continuous improvement within the team.
• Ensure Compliance and Best Practices: Ensure that all activities align with industry regulations and company policies. Collaborate with relevant teams to address any potential issues.

What you will need to have:

• Bachelor’s or master’s degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline.
• Proven experience (typically 6-15 years) in analytics.
• Strong analytical skills with expertise in data manipulation, statistical analysis, and machine learning techniques.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights to stakeholders.
• Excellent leadership and communication skills, with the ability to inspire and motivate a team.

What would be great to have:

• Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, Py-Torch, scikit-learn).
• Solid understanding of hypothesis testing, and validation methodologies.
• Experience with data manipulation, feature engineering, and data preprocessing techniques.
• Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
• Experience with data visualization tools and techniques to present validation results in a clear and meaningful way.

Work Onsite– In Office (All 5 days)

Job DescriptionWhat does a successful Statistical Analyst do at Fiserv? Fiserv is looking for a talented analytical Advisor who plays a crucial role in helping clients make informed decisions based on data-driven insights. Fiserv offers a range of solutions for financial institutions, businesses, and merchants, analytics lead contributes to the success of these solutions by providing expert guidance on utilizing data effectively. Using product knowledge, subject matter expertise and technical skills, he will provide the highest level of service to resolve the client/customer's issues.What you will do: Create comprehensive strategies to proactively identify and mitigate potential challenges and opportunities. Collaborate with cross-functional teams to ensure alignment with company objectives.Oversee and analyze large datasets to identify patterns, trends, and anomalies. Utilize statistical modeling, machine learning algorithms, and data visualization tools to gain actionable insights and drive data-driven decision-making.Evaluate and optimize systems and technologies. Implement improvements to enhance the accuracy and efficiency of data analysis.Develop and maintain regular reports on key metrics, trends, and insights. Present findings to stakeholders, recommending appropriate actions based on analysis.Stay abreast of the latest trends, tools, and technologies in your field. Identify opportunities to enhance existing processes and methodologies, driving continuous improvement within the team.Ensure Compliance and Best Practices: Ensure that all activities align with industry regulations and company policies. Collaborate with relevant teams to address any potential issues.What you will need to have:Bachelor’s or master’s degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline.Proven experience (typically 6-15 years) in analytics.Strong analytical skills with expertise in data manipulation, statistical analysis, and machine learning techniques.Proficiency in programming languages such as Python, R, or SQL.Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights to stakeholders.Excellent leadership and communication skills, with the ability to inspire and motivate a team.What would be great to have:Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., Tensor Flow, Py-Torch, scikit-learn).Solid understanding of hypothesis testing, and validation methodologies.Experience with data manipulation, feature engineering, and data preprocessing techniques.Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.Experience with data visualization tools and techniques to present validation results in a clear and meaningful way.Work Onsite– In Office (All 5 days)

Job Description

What does a successful Statistical Analyst do at Fiserv?

Fiserv is looking for a talented analytical Advisor who plays a crucial role in helping clients make informed decisions based on data-driven insights. Fiserv offers a range of solutions for financial institutions, businesses, and merchants, analytics lead contributes to the success of these solutions by providing expert guidance on utilizing data effectively. Using product knowledge, subject matter expertise and technical skills, he will provide the highest level of service to resolve the client/customer's issues.

What you will do:

• Create comprehensive strategies to proactively identify and mitigate potential challenges and opportunities. Collaborate with cross-functional teams to ensure alignment with company objectives.
• Oversee and analyze large datasets to identify patterns, trends, and anomalies. Utilize statistical modeling, machine learning algorithms, and data visualization tools to gain actionable insights and drive data-driven decision-making.
• Evaluate and optimize systems and technologies. Implement improvements to enhance the accuracy and efficiency of data analysis.
• Develop and maintain regular reports on key metrics, trends, and insights. Present findings to stakeholders, recommending appropriate actions based on analysis.
• Stay abreast of the latest trends, tools, and technologies in your field. Identify opportunities to enhance existing processes and methodologies, driving continuous improvement within the team.
• Ensure Compliance and Best Practices: Ensure that all activities align with industry regulations and company policies. Collaborate with relevant teams to address any potential issues.

What you will need to have:

• Bachelor’s or master’s degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline.
• Proven experience (typically 6-15 years) in analytics.
• Strong analytical skills with expertise in data manipulation, statistical analysis, and machine learning techniques.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights to stakeholders.
• Excellent leadership and communication skills, with the ability to inspire and motivate a team.

What would be great to have:

• Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, Py-Torch, scikit-learn).
• Solid understanding of hypothesis testing, and validation methodologies.
• Experience with data manipulation, feature engineering, and data preprocessing techniques.
• Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
• Experience with data visualization tools and techniques to present validation results in a clear and meaningful way.

Work Onsite– In Office (All 5 days)

Job Description

What does a successful Statistical Analyst do at Fiserv?

Fiserv is looking for a talented analytical Advisor who plays a crucial role in helping clients make informed decisions based on data-driven insights. Fiserv offers a range of solutions for financial institutions, businesses, and merchants, analytics lead contributes to the success of these solutions by providing expert guidance on utilizing data effectively. Using product knowledge, subject matter expertise and technical skills, he will provide the highest level of service to resolve the client/customer's issues.

What you will do:

• Create comprehensive strategies to proactively identify and mitigate potential challenges and opportunities. Collaborate with cross-functional teams to ensure alignment with company objectives.
• Oversee and analyze large datasets to identify patterns, trends, and anomalies. Utilize statistical modeling, machine learning algorithms, and data visualization tools to gain actionable insights and drive data-driven decision-making.
• Evaluate and optimize systems and technologies. Implement improvements to enhance the accuracy and efficiency of data analysis.
• Develop and maintain regular reports on key metrics, trends, and insights. Present findings to stakeholders, recommending appropriate actions based on analysis.
• Stay abreast of the latest trends, tools, and technologies in your field. Identify opportunities to enhance existing processes and methodologies, driving continuous improvement within the team.
• Ensure Compliance and Best Practices: Ensure that all activities align with industry regulations and company policies. Collaborate with relevant teams to address any potential issues.

What you will need to have:

• Bachelor’s or master’s degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline.
• Proven experience (typically 6-15 years) in analytics.
• Strong analytical skills with expertise in data manipulation, statistical analysis, and machine learning techniques.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights to stakeholders.
• Excellent leadership and communication skills, with the ability to inspire and motivate a team.

What would be great to have:

• Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, Py-Torch, scikit-learn).
• Solid understanding of hypothesis testing, and validation methodologies.
• Experience with data manipulation, feature engineering, and data preprocessing techniques.
• Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
• Experience with data visualization tools and techniques to present validation results in a clear and meaningful way.

Work Onsite– In Office (All 5 days)

Job Description

What does a successful Statistical Analyst do at Fiserv?

Fiserv is looking for a talented analytical Advisor who plays a crucial role in helping clients make informed decisions based on data-driven insights. Fiserv offers a range of solutions for financial institutions, businesses, and merchants, analytics lead contributes to the success of these solutions by providing expert guidance on utilizing data effectively. Using product knowledge, subject matter expertise and technical skills, he will provide the highest level of service to resolve the client/customer's issues.

What you will do:

• Create comprehensive strategies to proactively identify and mitigate potential challenges and opportunities. Collaborate with cross-functional teams to ensure alignment with company objectives.
• Oversee and analyze large datasets to identify patterns, trends, and anomalies. Utilize statistical modeling, machine learning algorithms, and data visualization tools to gain actionable insights and drive data-driven decision-making.
• Evaluate and optimize systems and technologies. Implement improvements to enhance the accuracy and efficiency of data analysis.
• Develop and maintain regular reports on key metrics, trends, and insights. Present findings to stakeholders, recommending appropriate actions based on analysis.
• Stay abreast of the latest trends, tools, and technologies in your field. Identify opportunities to enhance existing processes and methodologies, driving continuous improvement within the team.
• Ensure Compliance and Best Practices: Ensure that all activities align with industry regulations and company policies. Collaborate with relevant teams to address any potential issues.

What you will need to have:

• Bachelor’s or master’s degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline.
• Proven experience (typically 6-15 years) in analytics.
• Strong analytical skills with expertise in data manipulation, statistical analysis, and machine learning techniques.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights to stakeholders.
• Excellent leadership and communication skills, with the ability to inspire and motivate a team.

What would be great to have:

• Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, Py-Torch, scikit-learn).
• Solid understanding of hypothesis testing, and validation methodologies.
• Experience with data manipulation, feature engineering, and data preprocessing techniques.
• Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
• Experience with data visualization tools and techniques to present validation results in a clear and meaningful way.

Work Onsite– In Office (All 5 days)

Job Description

What does a successful Statistical Analyst do at Fiserv?

Fiserv is looking for a talented analytical Advisor who plays a crucial role in helping clients make informed decisions based on data-driven insights. Fiserv offers a range of solutions for financial institutions, businesses, and merchants, analytics lead contributes to the success of these solutions by providing expert guidance on utilizing data effectively. Using product knowledge, subject matter expertise and technical skills, he will provide the highest level of service to resolve the client/customer's issues.

What you will do:

• Create comprehensive strategies to proactively identify and mitigate potential challenges and opportunities. Collaborate with cross-functional teams to ensure alignment with company objectives.
• Oversee and analyze large datasets to identify patterns, trends, and anomalies. Utilize statistical modeling, machine learning algorithms, and data visualization tools to gain actionable insights and drive data-driven decision-making.
• Evaluate and optimize systems and technologies. Implement improvements to enhance the accuracy and efficiency of data analysis.
• Develop and maintain regular reports on key metrics, trends, and insights. Present findings to stakeholders, recommending appropriate actions based on analysis.
• Stay abreast of the latest trends, tools, and technologies in your field. Identify opportunities to enhance existing processes and methodologies, driving continuous improvement within the team.
• Ensure Compliance and Best Practices: Ensure that all activities align with industry regulations and company policies. Collaborate with relevant teams to address any potential issues.

What you will need to have:

• Bachelor’s or master’s degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline.
• Proven experience (typically 6-15 years) in analytics.
• Strong analytical skills with expertise in data manipulation, statistical analysis, and machine learning techniques.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights to stakeholders.
• Excellent leadership and communication skills, with the ability to inspire and motivate a team.

What would be great to have:

• Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, Py-Torch, scikit-learn).
• Solid understanding of hypothesis testing, and validation methodologies.
• Experience with data manipulation, feature engineering, and data preprocessing techniques.
• Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
• Experience with data visualization tools and techniques to present validation results in a clear and meaningful way.

Work Onsite– In Office (All 5 days)

Job Description:

Accountability:

Single point accountabilities and decision-making for your individual role should be agreed with your manager and captured in your MyPlan and Workday.

Technical Expertise, Scientific Leadership and Strategy:

Acts as an internal expert for some methodologies.
Develops and applies knowledge and understanding of emerging statistical methodologies/new research.
Utilizes sources of data and information (internal/external) and applies statistical concepts to explore and recommend optimal designs.
Influences statistical strategy through authoring analysis plans, sections of key documents (e.g. protocols) and presentation materials.
Performs appropriate analysis and interpretation and uses a wide range of statistical approaches and/or applicable software to explore options.
Supports engagement with regulatory agencies on key statistical issues and approaches (under supervision).
Shares learnings with peers and contributes to internal technical discussions/forums.
Effectively explains technical concepts to non-statisticians.
Contributes to department strategies and key initiatives through working groups and sub teams.

Innovation, Problem Solving and Decision Making:

Anticipates problems within discipline, proactively uses own expertise and/or seeks input from others, to recommend solutions and influence appropriate change.
Proactively identifies areas where novel strategies can be applied and effectively communicates rationale.
Uses technical expertise in matrix-discussions to support evidence-based decision making.
Contributes to a working group to explore an innovation or business strategy.

Compliance, Quality and Governance:

Thorough knowledge of all GxP, ICH requirements, internal processes and external regulations that govern drug development (where applicable).
Ensures archiving commitments related to own tasks are handled proactively and facilitates issue resolution.
Contributes to after action reviews and the development of solutions.
Understands how Client policies and procedures impact projects and is fully compliant in implementation.
Contributes to the development or improvement of departmental policies and working practices.
Develops responses to audit/inspection questions and complete CAPAs within agreed timelines.
Performs and documents oversight of outsourced activities including Quality Assurance (QA)
Identifies and addresses issues at study/project level and works to develop solutions with internal teams and/or outsourced partners.

Communication and Influence:

Independently, prepares detailed oral or written summaries in the context of strategic fit, feasibility, and rationale for projects appropriate to audience.
Effectively presents at internal forums and external professional industry meetings.
Effectively communicates technical and complex approaches to peers and non-technical colleagues demonstrating influence and successful outcomes.
Demonstrates effective communication to all stakeholders on project deliverables.

Collaboration and Matrix-Working:

Works effectively and proactively in multi-disciplinary teams and a matrix environment through effective listening and active participation in challenging discussions
Demonstrates networking skills through interactions across departments and divisions.
Begins to develop networking skills with external partners and key opinion leaders/experts.
Effectively contributes to internal and external collaborations.
Demonstrates appropriate engagement with outsourced partners.

Leadership and People Development:

Self-awareness of development needs and proactively identifies opportunities to support development objectives.
Able to understand and clarify boundaries of responsibility within own role; allocates decision making authority and task responsibility to others as appropriate.
Acts as a mentor or coach for new staff members.
Involved with recruitment activities.
May start to develop First Line Leader (FLL) capabilities.

Basic Education (indicative of entry level, not mandated for career progression):

Has theoretical and practical knowledge typical of at least MSc in Statistics and/or a combination of education and experience.