Senior Analytics Consultant ( GPL and Wholesale Digital )
Wells Fargo
Senior Analytics Consultant ( GPL and Wholesale Digital )
Job Description
Wells Fargo is looking for a highly motivated and collaborative person who can work with all levels of the organization, business and technology leaders and product, operations and finance managers.About this role:Wells Fargo is seeking a Senior Analytics Consultant to drive data and analytics initiatives within the GPL and Wholesale Digital & Innovation team. In this role, you will:Consult, review and research moderately complex business, operational and technical challenges that require an in-depth evaluation of variable data factorsPerform moderately complex data analysis to support and drive strategic initiatives and business needsDevelop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancementsCollaborate with cross-functional teams to ensure accurate and timely data/ insights deliveryProvide end to end data and analytics support for GPL / wholesale digital customer communicationsResearch appropriate data sources and develop processes to source, conform and curateProactively Manage data gaps/accuracy while ensuring the integrity of analysis through rigorous attention to detail and validation in dataEffectively partner with leaders in business and technology to transform data into actionable informationLeverage a solid understanding of compliance and risk management requirements for supported areaRequired Qualifications:4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, educationDesired Qualifications:4+ years of SQL experience4+ Years of hands-on experience in different Analytical/ ML and NLP techniques3+ years of experience with BI tools such as Tableau and PowerBIExperience with web analytics and click stream dataExperience translating data from multiple sources into actionable and meaningful insights through statistical analyses and impactful presentations that drive change.Knowledge of one or more financial products in Treasury Management Services, Commercial Lending, and Capital MarketsKnowledge and understanding of relational and no-SQL databases, structured, semi-structured and unstructured dataKnowledge and understanding of Big Data technologies (Data lake, cloud-based infrastructure) architectures that support real-time analytics and flexible data models to support querying of unstructured dataExperience with Python, PySpark and Google Cloud PlatformPosting End Date: 9 Sep 2026*Job posting may come down early due to volume of applicants.We Value Equal OpportunityWells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.Applicants with DisabilitiesTo request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.Wells Fargo Recruitment and Hiring Requirements:a. Third-Party recordings are prohibited unless authorized by Wells Fargo.b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
Locations
- India, Bengaluru
Skills Required
- different Analytical/ MLintermediate
- BI tools such as Tableauintermediate
- web analyticsintermediate
- oneintermediate
- Pythonintermediate
Required Qualifications
- 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education (experience, 4 years)
- 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education (experience, 4 years)
- 4+ years of SQL experience (experience, 4 years)
- 4+ Years of hands-on experience in different Analytical/ ML and NLP techniques (experience, 4 years)
- 3+ years of experience with BI tools such as Tableau and PowerBI (experience, 3 years)
- Experience with web analytics and click stream data (experience)
- Experience translating data from multiple sources into actionable and meaningful insights through statistical analyses and impactful presentations that drive change. (experience)
- Knowledge of one or more financial products in Treasury Management Services, Commercial Lending, and Capital Markets (experience)
- Knowledge and understanding of relational and no-SQL databases, structured, semi-structured and unstructured data (experience)
- Knowledge and understanding of Big Data technologies (Data lake, cloud-based infrastructure) architectures that support real-time analytics and flexible data models to support querying of unstructured data (experience)
- Experience with Python, PySpark and Google Cloud Platform (experience)
- 4+ years of SQL experience (experience, 4 years)
- 4+ Years of hands-on experience in different Analytical/ ML and NLP techniques (experience, 4 years)
- 3+ years of experience with BI tools such as Tableau and PowerBI (experience, 3 years)
- Experience with web analytics and click stream data (experience)
- Experience translating data from multiple sources into actionable and meaningful insights through statistical analyses and impactful presentations that drive change. (experience)
- Knowledge of one or more financial products in Treasury Management Services, Commercial Lending, and Capital Markets (experience)
- Knowledge and understanding of relational and no-SQL databases, structured, semi-structured and unstructured data (experience)
- Knowledge and understanding of Big Data technologies (Data lake, cloud-based infrastructure) architectures that support real-time analytics and flexible data models to support querying of unstructured data (experience)
- Experience with Python, PySpark and Google Cloud Platform (experience)
- a. Third-Party recordings are prohibited unless authorized by Wells Fargo. (experience)
- b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. (experience)
Responsibilities
- Consult, review and research moderately complex business, operational and technical challenges that require an in-depth evaluation of variable data factors
- Perform moderately complex data analysis to support and drive strategic initiatives and business needs
- Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements
- Collaborate with cross-functional teams to ensure accurate and timely data/ insights delivery
- Provide end to end data and analytics support for GPL / wholesale digital customer communications
- Research appropriate data sources and develop processes to source, conform and curate
- Proactively Manage data gaps/accuracy while ensuring the integrity of analysis through rigorous attention to detail and validation in data
- Effectively partner with leaders in business and technology to transform data into actionable information
- Leverage a solid understanding of compliance and risk management requirements for supported area
- Consult, review and research moderately complex business, operational and technical challenges that require an in-depth evaluation of variable data factors
- Perform moderately complex data analysis to support and drive strategic initiatives and business needs
- Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements
- Collaborate with cross-functional teams to ensure accurate and timely data/ insights delivery
- Provide end to end data and analytics support for GPL / wholesale digital customer communications
- Research appropriate data sources and develop processes to source, conform and curate
- Proactively Manage data gaps/accuracy while ensuring the integrity of analysis through rigorous attention to detail and validation in data
- Effectively partner with leaders in business and technology to transform data into actionable information
- Leverage a solid understanding of compliance and risk management requirements for supported area
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