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Wells Fargo is seeking a Senior Business Intelligence Consultant.
Job Responsibility:
Lead or participate in moderately complex initiatives within the Business Intelligence functional area and contribute to large-scale planning related to business intelligence deliverables that enable clear and consistent delivery of insights
Review and analyze moderately complex business, operational, or technical challenges that require an in-depth evaluation of data interpretation and visualization methods to create diagnostic analytics and dashboards
Independently resolve moderately complex issues and lead team to meet data-related deliverables as it contributes to developing intuitive compelling outputs used to inform decisions and strategy
Leverage a solid understanding of data structures, domain specific knowledge, and the end-user experience to impact the final data visualization product, which includes dashboards, reports, insights, or analyses
Collaborate and consult with peers, colleagues, and mid-level managers to achieve goals related to assessing business needs and producing actionable insights and trends leveraging data visualization and business intelligence
Lead projects, teams and serve as a mentor for lower-level staff
Work to drive adoption of insights and metrics as a resource for the company to enable a data-driven decision-making approach
Collaborate with business stakeholders to gather and refine requirements for use cases
Develop and deliver end to end high performing reporting solutions and data analysis
Perform exploratory analysis to identify the co-relations existing in the data and generate insights
Ability to leverage data visualization tools (Power BI, Tableau) and alternative data manipulation and front-end solutions to deliver data analysis results and insights
Capable of performing ad-hoc analyses and drill down into data inconsistencies and perform root cause analysis for unusual trends
Work closely with Business and Technology Partners to generate new BI solutions or modify current work products to optimize capabilities and improve efficiency
Strong experience in evaluating different types of AI/ML outputs and models (recommender systems, similarity scoring, classification and regression)
Should be able to break down complex business problems into sub-tasks that can be solved with BI and analytics to enable decision making on a scale
Should have good grasp on statistical concepts and empirical methods that drive post-modelling decisions like sorting, ranking, selection etc
Be exceptional at communicating and translating model algorithms and their outputs to non-technical users and stakeholders, through visualization and BI tools like Power BI, Tableau
Ability to integrate AI-enabled features (e.g. Copilot for Power BI) into end-user consumption interfaces to enable natural language led analysis for business users
Fluent in agile ways of working and agile project management practices. Should be comfortable to create efficient user stories, and other agile project artifacts
Requirements:
4+ years of business intelligence and data visualization experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
6+ (overall experience) years of experience in one or a combination of the following: reporting, analytics, or modeling (Tableau, Power BI, SQL, Python)
or a Master’s degree or higher in a quantitative field such as applied math, statistics, engineering, computer sciences
5+ years of SQL, ETL, BI and PowerBI/Tableau programming experience
Proficiency in designing and implementing complex and interactive dashboards with BI tools like Power BI (including complex DAX implementations, embedded Power Apps and Power Automate workflows, Copilot for Power BI), Tableau
Experience in designing semantic data layers that power user centric dashboards/other consumption interfaces for analytics and AI/ML solutions
Strong capability in using heterogeneous sources for deriving complex KPIs using Tableau, Power BI
Understand high-level business objectives and continually align the BI/Reporting roadmap to needs of the business
Strong oral and written communication and consultative skills
Outstanding problem solving and analytical skills with ability to turn findings into strategic imperatives
Extensive knowledge and understanding of research, analysis, data aggregations, and reconciliation processes
Ability to perform trend analysis, forecasting and pattern recognition, exploratory data analysis and insights
Experience in data cleansing, validation, and transformation logic using Alteryx and SSMS
Advanced exploratory data analysis skills using Python, SQL, excel etc., ability to write, read, and optimize queries for data extraction, transformation, and analysis
Experience with data environments like Oracle, Teradata, Sql server, HDFS, GCP
Designing and implementing enterprise data and reporting architectures, proficiency in semantic data modeling for BI and AI/ML solutions
Data integration and clean up/preparation of data
Experience with structured data and semi-structured text or Excel files
Familiarity with Agile processes and Atlassian software (Jira)
Nice to have:
Exposure to data science, ML and AI concepts
Strong collaboration & problem-solving skills
Strong communication skills (presentation and narrative skills)
Ability to translate analytical data into useful business insights through presentation and storytelling
Self-driven and passionate about continuous learning
Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry would be an added advantage
Ability to multi-task and prioritize between projects, independently or as part of a team
Experience on other BI tools like MSTR , BO , SSRS, Qlik will have an advantage