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Analytics Consultant - Power BI Developer @ Wells Fargo

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 Analytics Consultant - Power BI Developer

Job Description

About this role:

Wells Fargo is seeking a Analytics Consultant.

In this role, you will:

  • Consult with business line and enterprise functions on less complex research
  • Use functional knowledge to assist in non-model quantitative tools that support strategic decision making
  • Perform analysis of findings and trends using statistical analysis and document process
  • Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance
  • Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency
  • Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing
  • Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff
  • Understand compliance and risk management requirements for supported area
  • Ensure adherence to data management or data governance regulations and policies
  • Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals
  • Collaborate and consult with more experienced consultants and with partners in technology and other business groups

Required Qualifications:

  • 2+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

  • Hands-on Proficiency in Business Intelligence (BI) particularly Microsoft Power BI, MS Fabric, Power Automate and Power Platforms.
  • Hands-on Proficiency in any or all of the programming languages used for analytics & data science such as SAS, Python, PySpark, Spark SQL 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 an exposure towards 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., Azure and/OR Google Cloud) is a plus.

Job Expectations:

  • 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.
  • Design, implement, and optimize data warehouses and data lakes to ensure scalability, performance, and data consistency.
  • Create and manage data models to support business requirements, ensuring data accuracy, integrity, and accessibility.
  • Integrate data from diverse sources, including databases, APIs, third-party services, and streaming data, and ensure data quality and consistency.
  • Cleanse, transform, and enrich raw data to make it suitable for analysis and reporting.
  • Implement and enforce data security measures to protect sensitive information and ensure compliance with data privacy regulations (e.g., GDPR, HIPAA).
  • 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.
  • Continuously monitor and optimize data pipelines and databases for improved performance and efficiency.
  • Develop and implement automated testing procedures to validate data quality and pipeline reliability.
  • Maintain thorough documentation of data processes, schemas, and data lineage to support data governance efforts.
  • 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.
  • Utilize version control systems to manage code and configurations related to data pipelines.
  • Diagnose and resolve data-related issues and provide technical support as needed.

Working Hours: 1:30PM-10:30PM India Time

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Business Intelligence & Analytics
Role: BI Developer
Employement Type: Full time

Contact Details:

Company: Wells Fargo
Location(s): Bengaluru

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Keyskills:   Power BI NoSQL SAS PostgreSQL PySpark MySQL Spark SQL Teradata Python

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Wells Fargo

'Wells Fargo is committed to building an inclusive, sustainable recovery for all through a focus on opening pathways to economic advancement, championing quality, affordable homes, empowering small businesses to thrive, and enabling a just, low-carbon economy.'