Senior Analytics Consultant

Senior Analytics Consultant

About this role:

Wells Fargo is seeking a Senior Analytics Consultant.

In this role, you will:

• Play a critical role in an organization's data management and analytics processes.
• Play a vital role in shaping the data analysis, infrastructure and ensuring 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 effectively.
  • 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).
  • 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:

• 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: 

28 Aug 2024

*Job posting may come down early due to volume of applicants.

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.