Senior BI Developer Data Visualization Analytics
Resume:
Mueed Mohsin
**********@*****.***
Senior Business Intelligence Developer Data Visualization & Analytics PROFESSIONAL SUMMARY
● Senior Business Intelligence developer with over 10+ years of experience in analysis, documenting requirements, data modeling, design, development, testing, & implementation of reporting dashboards using various tools; focusing on Tableau & PowerBI suite. Experience working with Financial, Banking, & Healthcare data to develop highly customized, interactive, and insight-driven dashboards using data storytelling and visual analytics techniques for end-users.
● Expertise in leveraging various versions of Tableau Desktop/Server/Online, Power BI, Amazon Quicksight, and Domo across diverse data sources, ensuring robust testing and seamless implementation of BI reporting solutions, integrating multiple data sources into cohesive, business-friendly visual narratives.
● Experience in creating highly interactive Data Visualization Reports and dashboards using Data Blending, Extracts, Calculation Fields, LOD, Filters, Actions, Dynamic Parameters, Context Filters, Sets, Groups, Aggregate measures, Page Trails, etc.
● Experience in creating dynamic dashboards and reports using chart types such as Stacked Bar/Pie, Line/Area, Donut, Dual-Axes, Geo-Maps, Bubble, Scatter, Heat Maps, Box & Whiskers, Word Cloud, Funnel, Waterfall, and Gantt Charts, clear, compelling insights through structured storytelling and visual hierarchy for strategic decision-making.
● In-depth experience in all phases of the Software Development Life Cycle (SDLC), including Verification and Validation, under Agile/Scrum and Waterfall methodologies, with proficiency in business and technical documentation, data modeling, technical data requirements, data mapping documents, and UAT testing.
● End-to-end experience in gathering requirements, breaking down legacy reports, and designing data models for optimized usage for rich dashboards, including translating business requirements into actionable visual insights that highlight key risks, opportunities, and performance drivers.
● Experience in utilizing multiple BI tools (Tableau, Power BI, Domo, SSIS, SSRS) to build highly interactive data visualization reports and dashboards that help identify critical KPIs and drive data-driven decision-making.
● Expertise in designing and creating various analytical reports and Dashboards to help users to identify critical KPIs and facilitate strategic planning in the organization.
● Expertise in architectural designing and managing complex data flows, ensuring robust ingestion, transformation, and storage of high-volume data across diverse sources for reliable, scalable, and high-performance BI solutions.
● Adept at data extraction, data mining, data profiling, and data mapping using SQL and SQL Server Management Studio (SSMS), ensuring data accuracy and optimized performance.
● Capable of writing complex SQL queries involving multiple table joins to facilitate scalable reporting, enhancing performance, and streamlining data pipelines.
● Strong analytical, multitasking, time management, and presentation skills, with the ability to rapidly learn new technologies and collaborate effectively across cross-functional teams.
● Results-oriented self-starter committed to consistently delivering high-impact BI solutions that meet and exceed stakeholder expectations.
EDUCATION
John Jay College of Criminal Justice, City University of New York B.A. in Criminology, May 2017
B.A. in International Criminal Justice, May 2017
TECHNICAL SKILLS
Data Visualization & BI: Tableau (Desktop, Server, Online, Prep), Power BI, Amazon QuickSight, Alteryx, Domo
Data Architecture & Modeling: Dimensional Modeling (Star, Snowflake), Fact & Dimension Design, Data Warehousing, ER Modeling
Data Engineering: ETL/ELT Pipelines, Data Transformation, Workflow Automation, Data Integration, dbt, Azure Data Factory
Databases & Cloud Platforms: MS SQL Server, Oracle, Snowflake, Amazon Redshift, Google BigQuery, Databricks, SAP HANA, DB2
Programming Languages: SQL (ANSI 89/92), T-SQL, PL/SQL, Stored Procedures, Python
(Pandas, Matplotlib), R
Data Quality & Governance: Data Validation, Data Reconciliation, Data Integrity, UAT, KPI Validation, Data Lineage
SDLC & Delivery: Agile (Scrum), Kanban, CI/CD, Release Management, JIRA Align
Tools & Platforms: Azure DevOps, Git, Salesforce, ServiceNow, JIRA, Confluence, SharePoint
Analytics & Productivity: Microsoft Excel (Power Query, Power Pivot), KPI, Ad-hoc Analysis PROFESSIONAL EXPERIENCE
Citi, New York, N. Y September 2022 to Current
Senior BI Developer / Senior Business Analyst
Responsibilities:
● Embedded with the Shared Services Strategy and Reengineering team (S&R) to migrate existing reports from legacy systems in Power BI to Tableau, including audit and regulatory-focused reporting aligned with Risk & HR domains, sourcing and consolidating data across multiple business functions.
● Oversaw the reengineering & enhancement of Amazon QuickSight & Power BI dashboards into Tableau, incorporating lean process reviews, process automation, embedded analytics, and improved visual storytelling and user experience for executive consumption.
● Led migration from on-prem Tableau Server to Tableau Online Cloud to reduce infrastructure costs and improve scalability.
● Led the design & automation of ETL workflows utilizing Tableau Prep to refresh data from disparate sources into centralized Tableau dashboards, transforming complex datasets into intuitive, business-friendly visual analytics solutions while optimizing SQL scripts for usability and performance.
● Automated extracts from AWS Redshift, Google BigQuery, Snowflake, Databricks Delta Lake, & Azure SQL Database into Tableau Server, integrating and standardizing data across multiple systems into unified analytical models.
● Utilized BigQuery Sandbox, Snowflake Worksheets, Databricks SQL Editor, dbt Cloud, and Azure DevOps pipelines to prototype, validate, and deploy data transformations, improving QA efficiency, reducing deployment risk, and accelerating release cycles.
● Developed on-demand, ad-hoc, operational, and analytical dashboards with a focus on visual hierarchy, interactivity, and storytelling flow to support business decision-making.
● Led the implementation of complex dashboards, scorecards, and KPI reporting, collaborating with stakeholders to define, validate, and align metrics with business objectives.
● Created Tableau dashboards enabling self-service analytics for non-technical users, improving accessibility, usability, and adoption across business teams.
● Worked closely with business stakeholders to translate requirements into Tableau solutions, applying data storytelling techniques to present insights clearly and compellingly.
● Gathered and documented business requirements through stakeholder interviews and workshops, translating them into actionable visual insights highlighting risks, opportunities, and performance drivers.
● Led full SDLC lifecycle, including requirements gathering, stakeholder collaboration, SME support, and UAT to ensure data quality and workflow integrity.
● Developed system analysis documentation, functional designs, and data lineage artifacts to support platform migration and ensure traceability across reporting layers.
● Implemented enterprise security and row-level security across data applications while managing entitlement processes and automated feeds into Tableau Server.
● Developed and implemented data governance practices, ensuring data quality, consistency, and risk management across ETL pipelines and reporting layers.
● Collaborated with Risk and HR teams to support audit and regulatory reporting, sourcing and consolidating data across workforce, financial, and operational domains into standardized analytical models.
● Built end-to-end analytical workflows using SQL and Tableau Prep, ensuring accuracy and consistency of transformations through validation of joins, aggregations, and business logic.
● Performed data validation and QA by reconciling outputs across source systems, identifying and resolving discrepancies such as misjoins, aggregation mismatches, and data gaps impacting reporting accuracy.
● Partnered with stakeholders to validate KPI definitions, assumptions, and reporting logic, ensuring outputs were traceable, defensible, and aligned with business and regulatory expectations.
● Served as team SME for Tableau and data visualization, guiding standards for dashboard design, usability, and reporting best practices.
● Led internal training initiatives to promote Tableau adoption and best practices in data visualization and dashboard design.
● Assisted in the development of PyTableau integrations to enhance automation and streamline reporting workflows.
Environment: Tableau Desktop/Online/Prep 2022 to 2025.x, Power BI, Amazon QuickSight, Alteryx; Snowflake, Amazon Redshift, Google BigQuery, Databricks, Oracle, MS SQL Server; Azure Data Factory, dbt Cloud, Azure DevOps, Git; Python (Pandas, Matplotlib), TabPy, SAS; Salesforce, ServiceNow; Microsoft Excel (Power Query, Power Pivot); Windows 11 Wells Fargo, New York, N. Y January 2019 to July 2022 Senior Tableau Developer
Responsibilities:
● Work closely with business stakeholders to design, develop, and deliver visual analytics solutions, applying data storytelling techniques to communicate insights in a clear and compelling manner.
● Prepared Business Requirement Documents and converted business requirements into Functional Requirement Specifications, translating business needs into actionable, insight-driven visual solutions.
● Gathered data from multiple sources, including Excel, Oracle, Redshift, and Hive, and organized workshop sessions to collect business requirements from users, aligning data outputs with KPIs and business objectives.
● Created rich dashboards using Tableau and developed user stories to design compelling dashboards that deliver actionable insights, leveraging storytelling flow and visual hierarchy to highlight key trends and performance drivers.
● Created extracts, published data sources to Tableau Server, and refreshed extracts from Tableau Desktop, ensuring efficient and reliable data delivery for reporting and analytics.
● Extracted and cleansed data using Tableau Prep for dashboard consumption, ensuring data quality and usability for business-friendly visualizations.
● Assisted technical teams with gap analysis, data mapping, and writing functional specifications for dashboard-specific data models, supporting scalable and insight-driven reporting frameworks.
● Used parameters and quick filters, and created sets to display top-performing products based on sales, enhancing interactivity and analytical depth of dashboards.
● Created actions in worksheets and dashboards to enable interactivity and comparison across multiple views, improving user experience and data exploration capabilities.
● Developed dashboards with interactive views, trends, and drill-down capabilities, designed to support intuitive navigation and storytelling-driven insights.
● Implemented advanced geographic mapping techniques using custom images and geocoding to build spatial visualizations of non-geographic data using Java API scripting, enhancing visual representation and analytical context.
● Generated test plans outlining testing approaches, strategies, and scope, and was extensively involved in user acceptance testing (UAT) to ensure accuracy, reliability, and business alignment of dashboards.
● Prototyped data visualizations using charts, drill-downs, and parameterized controls in Tableau to highlight the value of analytics in executive decision support, delivering insights through concise and impactful visual narratives.
● Performed report tuning using extracts, cache optimization, and removal of unused fields to improve performance, efficiency, and user experience.
● Assisted the team in data mining and optimizing query performance through indexing strategies, ensuring scalable and high-performance data retrieval.
● Created complex calculations, including arithmetic logic, custom aggregations, and table calculations to support advanced analytics and dynamic reporting capabilities.
● Manipulated and automated ETL pipelines using Alteryx and Tableau Prep to build ad hoc reports for Executive Committees, delivering timely, insight-driven reporting solutions.
● Demonstrated expertise in transforming business requirements into analytical models, developing data mining and reporting solutions that scale across massive volumes of structured and unstructured data, driving meaningful business insights and decision-making.
Environment: Tableau Desktop /Tableau Server, Tableau Prep/Alteryx, PowerBI, Oracle, Hive, Cloud database, Salesforce, Python (Plyr, Pandas, NumPy, SciPy), Domo Magic ETL, Domo Data Warehouse, Domo Cloud, Microsoft PowerPivot, Pivotal HD, HDFS, Microsoft SQL server 2012/2016, Amazon Redshift, ServiceNow, MS Excel/Access, Windows 8. Allina Health- Minneapolis, MA September 2016 to December 2018 Sr. Tableau Developer
Responsibilities:
● Served as Tableau Developer meeting deadlines and budget requirements.
● Gathered Business Requirements, interacted with the Users, Project Manager and SMEs to get a better understanding of the Business Processes.
● Prepared project reports for management and assisted the project manager in the development of weekly and monthly status reports, policies and procedures.
● Develop, Organize, manage and maintain graphs, tables and document templates for the efficient creation of reports.
● Curated multiple dataflows from various sources, such as EPIC Clarity extracts, into a centralized hub to build healthcare-based dashboards.
● Leveraged Informatica to clean up the ETL jobs in SSIS for reporting purposes
● Developed & Curated KPIs relevant to business users, such as Patient-based metrics to track patient journey through hospital visits, # of beds occupied, etc.
● Prepared dashboards using calculated fields, parameters, calculations, groups, sets and hierarchies in Tableau.
● Blended data from multiple databases into one report by selecting primary keys from each database for data validation.
● Provided production support for Tableau users.
Environment: Tableau Desktop 9.x/8.x, Tableau Server, EPIC Clarity, MS SQL Server, Oracle, Hadoop, SAP HANA, Informatica, Teradata, Salesforce, Windows 8, MS Excel/Access, SSIS, SSRS. Pfizer – Collegeville, PA August 2015 to June 2016 Tableau Developer
Responsibilities:
● Gathered Business Requirements, interacted with the Users, Project Manager and SMEs to get a better understanding of the Business Processes.
● Created and modifying Business Intelligence analytical reports using Tableau.
● Work with the business users in gathering the project specifications by conducting user requirements gathering sessions and workshops.
● Created actions, parameters, Filter (Local, Global) and calculated sets for preparing dashboards and worksheets using Tableau.
● Effectively used data blending, filters, quick filters, data source filters, global filters, context filters, actions, Hierarchies feature in tableau.
● Published the developed dashboard, reports on the Tableau Server so that the end users having access to the server can view the data.
● Worked in Tableau environment to create dashboards like weekly, monthly, daily reports using tableau desktop & publish them to server.
● Implemented best practices and standards in developing Tableau reports.
● Developed story telling dashboards in Tableau Desktop and published them on to Tableau
● server, allowing end users to understand the data on the fly with the usage of quick filters for on demand needed information
Environment: Tableau Desktop 8.3, Tableau Server, MySQL, SharePoint, Microsoft SQL Server, Windows, Microsoft Visual Studio, ERWIN, SSIS and SSRS.
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