Senior Lead Business Intelligence Consultant - GenAI
- Wells Fargo
- 7 - 12 years
- Bengaluru
- 8 hours ago
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Job Description
About this role:
Wells Fargo is seeking a Senior Lead Business Intelligence Consultant to support the data and analytics needs of the Chief Administrative Office (CAO). This is a business partner facing role and is responsible for providing reporting and analytic solutions that provide actionable insights to enterprise function partners and leadership. This role includes gathering and writing use case requirements, performing data analysis, developing semantic data models to support analytics and AI/ML model development and effective use of data visualization, reporting/dashboarding and AI-enabled BI solutions to enable explainability, exploratory analytics and actionable insights
In this role, you will:
- Act as an advisor to senior leadership to develop or influence objectives, plans, specifications, resources, and long-term goals for highly complex business and technical needs across the Business Intelligence function that enable clear and consistent delivery of insights
- Lead the strategy and resolution of highly complex and unique challenges, delivering data aggregation and visualization solutions that are long-term, large-scale, and require innovation and advanced analytical and inductive thinking
- Coordinate highly complex activities and provide guidance to others in the production of intuitive, digestible diagnostic analytics and dashboards
- Provide vision, direction, and expertise to senior leadership on implementing innovative and significant transparent data visual solutions that are large scale and cross functional and support the company in making business decisions and informing strategy
- Strategically engage with all levels of professionals and managers across the company on initiatives related to assessing business needs and producing actionable insights and trends, leveraging data visualization and business intelligence
- Serve as an expert advisor to leadership
- Work to drive adoption of insights and metrics as a resource for the company to enable a data-driven decision-making approach
Required Qualifications:
- 7+ 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
Desired Qualifications:
- Experience in one or a combination of the following: reporting, analytics, or modeling (Tableau, Power BI, SQL, Python); or a Masters degree or higher in a quantitative field such as applied math, statistics, engineering, computer sciences,
- Experience with SQL, data analysis, BI and PowerBI/Tableau programming experience
- Strong knowledge of Data Science, AI/ML to be able to envision the consumption, insight generation for AI/ML solutions, and augment BI with AI.
- 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
- Ability to gather end-user requirements, user stories, data requirements and translating them into technical requirements and solution design.
- 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 and present findings to leadership and exec level audience.
- Experience on other BI tools like MSTR , BO , SSRS, Qlik, Thoughtspot will add value.
- Strong oral and written communication and consultative skills, storytelling and narrative 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
- Proficiency in Agile processes and Atlassian software (Jira), project planning and execution.
- 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
- Ability to mentor junior team members
Job Expectations:
- You would be required to work individually, or as part of a team or lead a small team of analysts on projects and work closely with business partners across the CAO functions.
- Responsible for planning and performing reporting, analyses and projects to solve a variety of business issues for a department or functional area.
- Collaborate with business stakeholders to gather and refine requirements for use cases.
- Develop and deliver end to end high-performing reporting solutions and data and analytics.
- Perform exploratory analysis to identify the co-relations existing in the data and generate insights, ad-hoc analyses and drill down into data inconsistencies and perform root cause analysis for unusual trends.
- Ability to leverage data visualization tools (Power BI, Tableau) and alternative data manipulation and front-end solutions to deliver data analysis results and insights
- Work closely with function and Technology Partners to generate new BI solutions or modify current work products to optimize capabilities and improve efficiency, identify opportunities on improvement, best practices and viable tools to implement, focusing on reusability and automation.
- 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.
- Thought leadership in the field, bringing outside in perspectives and research imperatives that add value to the body of work.
- Proactively seek opportunities to contribute in areas beyond project deliverables and lead initiatives that promote innovation, reusability and automation, to deliver value above and beyond the prescribed book of work
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Business Intelligence & AnalyticsRole: Analytics ConsultantEmployement Type: Full timeContact Details:
Company: Wells FargoLocation(s): Bengaluru+ View Contact
Keyskills: GenAI Business Intelligence front end storytelling python project management forecasting ai power bi business intelligence sql server sql bi tools tableau data science gcp agile project management use cases regression business insights diagnostic agile jira
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