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Senior Analytics Consultant

AT Wells Fargo
Wells Fargo

Senior Analytics Consultant

Hyderabad, India

About this role:

Wells Fargo is seeking a Senior Analytics Consultant. At Wells Fargo, we are looking for talented people who will put our customers at the center of everything we do. We are seeking candidates who embrace diversity, equity and inclusion in a workplace where everyone feels valued and inspired.

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

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 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
  • Lead or participate on large cross group projects
  • Mentor less experienced staff
  • Collaborate and consult with peers, colleagues, external contractors, and mid-level managers to resolve issues and achieve goals
  • Leverage a solid understanding of compliance and risk management requirements for supported area.
Play a vital role in shaping the data analysis, infrastructure and ensuring

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data quality and reliability. Be responsible for building and maintaining data

pipelines, databases, and data warehouses, enabling data scientists, other

data analysts, and stakeholders to access and analyze
  • Data Pipeline Development: Design, develop, and maintain ETL (Extract, Transform, Load) / ETL processes and data pipelines to move and transform data from various sources into a centralized data repository.
  • Data Warehouse Management: Design, implement, and optimize data warehouses and data lakes to ensure scalability, performance, and data consistency.
  • Data Modelling: Create and manage data models to support business requirements, ensuring data accuracy, integrity, and accessibility.
  • Data Integration: Integrate data from diverse sources, including databases, APIs, third-party services, and streaming data, and ensure data quality and consistency.
  • Data Transformation: Cleanse, transform, and enrich raw data to make it suitable for analysis and reporting.
  • Data Security: Implement and enforce data security measures to protect sensitive information and ensure compliance with data privacy regulations (e.g., GDPR, HIPAA).
  • BI Product Development: Independently build, operate, maintain, enhance, publish and sunset BI Products (own end-to-end life cycle) across enterprise stakeholders along with up-to-date maintenance of all required documentation and artefacts such as SOPs, previous versions, secondary quality reviews, etc. in various BI tools such as Tableau, PowerBI, etc.
  • Performance Optimization: Continuously monitor and optimize data pipelines and databases for improved performance and efficiency.
  • Automated Testing: Develop and implement automated testing procedures to validate data quality and pipeline reliability.
  • Documentation: Maintain thorough documentation of data processes, schemas, and data lineage to support data governance efforts.
  • Collaboration: Collaborate with wider team such as data scientists, analysts, software engineers, and other stakeholders to understand their data requirements and provide data solutions that meet their needs.
  • Version Control: Utilize version control systems to manage code and configurations related to data pipelines.
  • Troubleshooting: Diagnose and resolve data-related issues and provide technical support as needed.
Required Qualifications:
  • 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
  • Bachelor's or master's degree in computer science, Information Technology, Mathematics/Statistics or a related fields with an analytical & quantitative bend of mind with great attention to details.
  • Hands-on Proficiency in programming languages used for analytics & data science such as SAS, Python, Java, or Scala.
  • Hands-on strong knowledge of SQL and experience with database management systems (e.g., Teradata, PostgreSQL, MySQL, or NoSQL databases).
  • Familiarity with data warehousing and big data technologies (e.g., Hadoop, Spark, Snowflake, Redshift).
  • Experience with ELT/ETL tools and data integration techniques.
  • Experience optimizing code for performance and cost.
  • Comfortable with using code and agile process management tools like Github and JIRA.
  • Someone with a solid background developing solutions for high volume, low latency applications and can operate in a fast paced, highly collaborative environment.
  • Provide production support for data assets and products as required.
  • Knowledge of data modelling and data warehousing best practices.
  • Understanding of data governance, data quality, and data security principles.
  • Strong problem-solving and communication skills.
  • Ability to work in a collaborative team environment.
  • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
Desired Qualifications:
  • Ability to appreciate the opportunity to be independent, proactive, innovative creative and challenged.
  • Ability to have a curious mind, passionate about solving problems quickly and bringing innovative ideas to the table.
  • Be pro-active in anticipating, identifying, and resolving complex issues to lead and participate in data and database management activities including but not restricted to designing & maintaining highly complex logical and physical data architectures.
  • Lead Medium complex data analysis, modelling, mapping, integration, and capacity planning efforts.
  • Perform the planning, research, design, implementation, maintenance, and control of server class data & databases.
  • Design and implement security solutions, security benchmarks and auditing.
  • Design and certify next generation data management and database technologies.
  • Consult with and advise leaders, management and multiple clients on high impact data or database management issues, influencing strategic direction to key areas.
  • Provide technical leadership in solutioning and recommendation into the future direction of data, data management and database technology.
  • Consult with and advise management and multiple clients on high impact data or database management issues, influencing strategic direction.
  • Develop and maintain adequate documentation, procedures, standards, and best practices.
Posting End Date:
30 Oct 2024
*Job posting may come down early due to volume of applicants.

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

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 US: 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.

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 Disabilities

To 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.

Client-provided location(s): Hyderabad, Telangana, India
Job ID: WellsFargo-R-407406
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • FSA
    • HSA
    • Mental Health Benefits
    • Short-Term Disability
    • Long-Term Disability
  • Parental Benefits

    • Adoption Assistance Program
    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Return-to-Work Program
  • Work Flexibility

    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K) With Company Matching
    • Performance Bonus
    • Stock Purchase Program
  • Professional Development

    • Tuition Reimbursement
    • Access to Online Courses
    • Internship Program
    • Associate or Rotational Training Program
    • Promote From Within
    • Mentor Program
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)
    • Diversity, Equity, and Inclusion Program
    • Unconscious Bias Training

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