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Top Senior Business Intelligence Analyst Skills

Below we've compiled a list of the most important skills for a senior business intelligence analyst. We ranked the top skills based on the percentage of senior business intelligence analyst resumes they appeared on. For example, 16.2% of senior business intelligence analyst resumes contained business process as a skill. Let's find out what skills a senior business intelligence analyst actually needs in order to be successful in the workplace.

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The six most common skills found on Senior Business Intelligence Analyst resumes in 2020. Read below to see the full list.

1. Business Process

high Demand

A business process is a group of tasks that are performed by people working in a business to attain a worthy product and to present it to their customers. A business process can also be defined as performing several steps to achieve a certain goal set by a company. Business processes need to set purposeful goals and the outcome of that goal should be clear.

Here's how Business Process is used in Senior Business Intelligence Analyst jobs:
  • Develop and implement effective / strategic business solutions through research, development and analysis of data and business processes.
  • Analyzed business processes, identified opportunities for data-driven solutions and presented to senior management.
  • Create technical business process to communicate business needs to system and report developers.
  • Process Improvement: Provided Business Process Analysis by analyzing existing processes & applications.
  • Collaborate with business process stakeholders to define requirements, design and implement solutions.
  • Drafted and published required user Business Process Procedure documentation.
  • Performed extensive analyses of business processes and system interaction.
  • Propose recommendation on business process change.
  • Define, and manage new business processes using Business Process Modeling (BPM) standards.
  • Analyzed clients business processes and identified data and report needs.
  • Designed and analyzed Business Process Modeling & Use Case models.
  • Assessed current state of business process.
  • Create, analyze, audit and distribute commission revenue reports; Research best practices in business processes.
  • Managed BI program performance using targeted customer surveys and optimized ETL team business processes with SharePoint workflows.
  • Work closely with team of Budget Managers and Analysts to enhance business processes and operational workflow.
  • Drive the standardization of data metrics and KPIs leveraging business process and data knowledge.
  • Developed numerous business process improvements outlining the best practices and noting best application to use to generate any specific report.
  • Configure ibots using Oracle Delivers to deliver analytical content based upon schedule and conditional alerts based upon Business process exceptions.

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2. Tableau

high Demand

Here's how Tableau is used in Senior Business Intelligence Analyst jobs:
  • Developed visually compelling and actionable interactive reports and dashboards in Tableau Desktop and published them on Tableau Server.
  • Developed Tableau dashboards with combination charts for clear understanding.
  • Developed SAS and Tableau based reports for Employer and Claim related reports to present trends, anomalies fraud and performance analysis.
  • Developed sales executive dashboards and reports using Tableau 9.2 & helped team set up center of excellence (COE).
  • Created Business Intelligence Reports and Dash boards using Tableau to analyze existing member profile for future marketing and membership campaigns.
  • Used ACXIOM Customer Insight Data to target and regionally locate potential customers using Tableau to create reports and dash boards.
  • Act as Tableau Server site administrator to manage content, structure, and security permissions for workbooks and data sources.
  • Worked extensively with SSRS, SSIS and SSMS, Business Objects Reports Server and some and Tableau Reports.
  • Used Tableau to create reports and dash boards for various business units and senior management to take decisions.
  • Worked on multiple data formats across various data sources using blending and cross data join features in Tableau.
  • Develop and maintain all company reports in the Epic Clarity database, Crystal Reports and Tableau.
  • Utilized Tableau to implement Dashboards for Sales Finance which provided executives a 360 view into business.
  • Worked extensively on new tableau features such as LOD expressions to simplify the existing report calculations.
  • Create and maintain custom business reports using Tableau, SQL, Excel, and VBA.
  • Create pipelines to load data into Google's database BigQuery and design dashboard using Tableau.
  • Lead effort to successfully implement Tableau software to meet business user visual analytic needs.
  • Developed first CSR Dashboard utilizing Tableau Desktop 8.2 supporting the Claims Business Technology team.
  • Create and update monthly, quarterly and yearly national dashboards on Tableau.
  • Uploaded dashboards from Tableau Desktop to Tableau server for easier maintenance.
  • Scheduled data refresh on Tableau Server for weekly and monthly increments.

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3. Analytics

high Demand

Here's how Analytics is used in Senior Business Intelligence Analyst jobs:
  • Managed and facilitated significant analytic initiatives in support of System Strategic, operational quality projects within the Population Health Analytics space.
  • Analyzed target customer deals using quantitative and qualitative analysis, with Consumer Analytics, for identifying trends and uncover business opportunities.
  • Used knowledge of predictive analytics, statistics and modeling techniques to develop and improve sophistication of Business Intelligence solutions.
  • Maximized profitability and effectiveness of the Marketing/Sales group by identifying key metrics and providing analytics to define operational strategy.
  • Developed, managed and distributed business analytics and intelligence based on organizational and Client needs and initiatives.
  • Developed Finance and executive analytics dashboard, analyzed, designed and developed finance and executive sales metrics.
  • Catalyzed informed executive decisions by developing innovative portfolio performance reporting, dashboards and KPI analytics.
  • Overhauled Web analytics strategy during tool conversion by defining environment, configuration and parameters.
  • Support sales leaders with information and detailed analytics to support new business initiatives.
  • Implement and modify metrics dashboards, scorecards and other analytics for executive management.
  • Advanced analytics to support business development initiatives of internal and external customers.
  • Provided Business Intelligence and analytics services to ISD at American Honda Motor Co. (AHM) as Sr. Business Intelligence Analyst.
  • Research and analyze several SCM strategy initiatives in the market and report findings to Strategy / Analytics Team & Management.
  • Process the customers' Purchase Data in a MS Excel format through the PDU and BI Analytics tools.
  • Participate in weekly S&OP meetings, with Device Marketing, Inventory Planning and Analytics teams.
  • Key analytics consultant to editorial staff in site redesigns, new features, and product development.
  • Provided key analytics that drove strategic HR meetings and Quarterly Business reviews(QBR).
  • Provide leadership on new analytics projects by identifying scope and key assumptions.
  • Identified a set of tools for predictive analytics.
  • Identified the analytics internal team and hired contractors.

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4. Dashboards

high Demand

The dashboard is a data management tool used for business intelligence. Dashboards, store, organize and display the scattered data in one system providing easy access to information whenever required. The data is displayed using advanced data visualization techniques, allowing users to understand the intricate patterns in their data. Dashboards make it easier to draw parallels between different data metrics and help in the identification of data trends.

Here's how Dashboards is used in Senior Business Intelligence Analyst jobs:
  • Manage Reporting Services server, supporting of existing reports and dashboards as well as requirements gathering for developing additional metrics.
  • Established and maintained relationships with global marketing managers to facilitate production of comprehensive geography / region dashboards.
  • Create and maintain quality dashboards and reports for management and organizational stakeholders to support executive decisions.
  • Developed complex Business Objects documents & dashboards that provided multiple reports and reduced overall production load.
  • Provided global sales and margin dashboards for executive management and other business analyses as needed.
  • Created Service Request and Account Management QlikView dashboards that allured users and improved data utilization.
  • Gathered user requirements, analyzed and designed dashboards & user interfaces that meet user specifications.
  • Communicated key observations, conclusions and recommendations to senior management in form of dashboards.
  • Developed many Business Intelligence Dashboards to support the Global Services Organization.
  • Created sophisticated interactive dashboards in collaboration with external data sources.
  • Developed and deployed dashboards in Jasper Reports Server environment.
  • Designed proficient dashboards according to the requirements.
  • Created department business dashboards for management team.
  • Developed executive dashboards for senior management.
  • Conduct reports, dashboards creation/fix/enhancement.
  • Develop, design, and maintain OLAP cubes, metadata models, reports and dashboards using Business Intelligence and database tools.
  • Developed and maintained executive dashboards, through SQL and Excel, allowing the regional directors to successfully manage their portfolios.
  • Deployed, extended and managed 5 dashboards and 12 subject areas for companies across PNC's Real Estate Finance division.
  • Design Ops goals dashboards, KPI scorecards, data models, and dynamic reports to meet company business needs.
  • Work with users to identify requirements and create specifications, develop reports, prompts and dashboards using Answers.

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5. Data Analysis

high Demand

Here's how Data Analysis is used in Senior Business Intelligence Analyst jobs:
  • Leverage expert knowledge of Midland's operations and agile data analysis to model structured assets involving multiple investors and troubled assets.
  • Worked across internal functions to lead project management via data analysis and strategic planning.
  • Transformed complex data analysis into easy-to-understand visualizations and created story points for executive meetings.
  • Perform data analysis using various Data Dimensional models.
  • Performed requirement gathering, analysis and data analysis.
  • Generated SQL queries to pull relevant information from multiple tables; helped market data team in report generation and data analysis.
  • Involved in Building and maintaining SQL scripts, indexes, and complex queries for data analysis and extraction.
  • Performed data analysis and reporting needs for operations in retail stores, distribution center, and call centers.
  • Supported the business development and sales teams through various methods of data analysis and presentation.
  • Generate reports using MS Excel (pivot tables) and VBA for data analysis.
  • Provided in depth data analysis to the HR/Finance Department.
  • Exhibit strong data analysis skills.
  • Performed complex data analysis and developed customized statistical and financial reports primarily using Business Objects, Microstrategy and Excel.
  • Provided data analysis and insights related to Store Traffic Conversion initiative and rollout.
  • Design and create ad hoc prototypes for data analysis and what-if scenarios.
  • Conducted statistical reporting / data mining on large datasets.
  • Designed, implemented, and supported a platform providing ad-hoc access to large datasets.

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6. R

high Demand

R is a free software environment and a language used by programmers for statistical computing. The R programming language is famously used for data analysis by data scientists.

Here's how R is used in Senior Business Intelligence Analyst jobs:
  • Used SQL and R statistical software for data management and analysis.
  • Produced resulting analyses and reports using R Studio Server.
  • Performed ad hoc analysis to answer business questions and produce actionable findings using R and Python.
  • Involved in installation of Business Objects Enterprise XI R 3.1 on development box.
  • Used R to identify abnormal thresholds in columns of our traffic data whenever our two data sources weren't matching.
  • Created automated models from relational databases using R, MATLAB and Excel to perform energy calculations and predictive analysis.

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7. ETL

high Demand

Here's how ETL is used in Senior Business Intelligence Analyst jobs:
  • Created business and functional requirement documents for ETL and Report developers.
  • Performed ETL Testing/Validation (Designed and documented test strategy, test plan, test cases, test results, etc.)
  • Performed GAP analysis of multiple data systems and discovered discrepancies that resulted in changes to ETL mappings and improved trending reports.
  • Provide input on architecture of Data Model and ETL processes based on business requirements and in-depth knowledge of data sources.
  • Designed ETL process and assist client project team in archiving data that is not expected to be referenced again.
  • Analyzed source data to determine the data model and ETL solution that will meet business requirements.
  • Created Stored Procedures, Views and Triggers using PL/SQL for BI reporting and ETL process.
  • Documented and refined the ETL processes in place with the help of the Solution Architect.
  • Collected, generated, and organized all documentation for existing ETL process and reports.
  • Analyzed EFI data for the purpose of implementing ETL procedures to correct inaccuracies.
  • Managed nightly ETL and data backup processes, implementations and database changes.
  • Monitor daily ETL process and fix errors to populate reporting database correctly.
  • Established ETL transformation rules and documented as a part of Metadata.
  • Collaborated with Business and ETL to implement a data integration project.
  • Defined the integration architecture for ETL and OBIEE report layer.
  • Published analysis and collaborated with ETL staff on the results.
  • Perform DSO and InfoCube design and ETL processes.
  • Support ETL and cube processing.
  • Perform all phases of testing in the SAP BW 7.0, DataStage ETL, Oracle, and UNIX environments.
  • Facilitated the Team in the ETL process, in the development of mappings using Informatica.

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8. SQL

high Demand

Here's how SQL is used in Senior Business Intelligence Analyst jobs:
  • Apply determinants for relational query subjects to generate appropriate SQL and specify group and unique granularity.
  • Optimized SQL stored procedures for performance improvement.
  • Designed and developed data mining, predictive analysis software to identify trends using ASP, VB Script, SQL, Access.
  • Experienced in SQL, Access, Excel, Adobe Digital Marketing Suit, and internally developed business data and marketing tools.
  • Analyzed complex queries and tune the same to optimize application and system performance and to set up SQL Server configuration settings.
  • Developed and maintained reports, universes and user profiles using Business Objects XI/R2 and 6.5 from Oracle and SQL Server databases.
  • Created reports through the use of SQL to optimize lead generation, resulting in a significant increase in overall sales.
  • Utilize Oracle SQL, IBM Modeler, and MS Excel to uncover and reduce historical Mean Time Between Failure rates.
  • Gathered Requirements from the end user and involved in developing logical model and implementing requirements in SQL Server 2008 R2.
  • Developed functions based on BCP to import data from flat files into SQL server tables and export into XLS files.
  • Produced and distributed reports and files created from Hyperion Interactive Reporting Studio (drag & drop SQL).
  • Developed SQL server 2008 R2 stored procedures, data mappings for data importing, exporting and parsing etc.
  • Gather report requirements and write SQL reports for end users across all financial, administrative and clinical departments.
  • Modified/updated Oracle stored procedures using SQL Navigator and PL/SQL to meet customer's ever changing reporting needs.
  • Scheduled Jobs using SQL server agent and Created Alerts for successful or unsuccessful completion of scheduled Jobs.
  • Used SQL Server Management Studio and MS Reporting Services to provide business operations with actionable reporting.
  • Used SQL Server and Oracle to extract data for SEC filings and Board of Directors reports.
  • Utilize Crystal Reports 8.5 & XI/R2 as well as Business Objects Enterprise XI/R2 and SQL querying
  • Created data views using data from multiple tables in SQL Server 2005 to aid reporting.
  • Develop and maintain SQL code used to report data for CCAR submissions to the FRB.

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9. Data Warehouse

high Demand

Data warehouse, often abbreviated as either DW or DWH is a system used in computing for data analysis as well reporting. The DW is also considered to be an integral component of business intelligence as they also provide storage facilities for both real-time and historical data. ETL and ELT are the two driving forces behind a data warehouse system.

Here's how Data Warehouse is used in Senior Business Intelligence Analyst jobs:
  • Collaborate with business stakeholders to identify key corporate metrics, enhance existing systems and generate new opportunities from the Data Warehouse.
  • Reviewed and defined data management team member's decisions for implementation plan from source integration to enterprise data warehouse implementation.
  • Collaborated with Finnish business team and implemented enterprise data warehouse and improved business reporting capabilities by 7000%.
  • Tracked and ensured service levels were met for Data Warehouse and centralized reporting system availability.
  • Created requirements for data warehouses that enabled more efficient analysis of data and increased productivity.
  • Implemented an Enterprise Data Warehouse/BI Solution BROOK (Business Repository of Operational Knowledge).
  • Provide expertise in business intelligence, business data reporting, and data warehouse oversight.
  • Developed an enterprise global data warehouse inquiry based web application to access DW.
  • Expanded upon data warehouse technology to improve strategic planning and product profitability.
  • Performed in-depth SQL analysis on Oracle data warehouse for expense reconciliation.
  • Monitor and verify user access to enterprise data warehouse.
  • Assessed business benefits and validated contents of data warehouse.
  • Extracted patient data from HERON, KUMC's patient data warehouse using i2b2, an open-source, star schema data architecture.
  • Serve as a liaison between internal Business partners and IT/Data Warehouse, including the participation in formal projects concerning sales data.
  • Contribute to data requirement documents based on the outcome of meetings conducted for all projects assigned to the Data Warehouse Team.
  • Implemented new processes/procedures; took the initiative to set-up Data Warehouse team on Share Point to effectively manage and track projects.
  • Kick started initiative to institute an enterprise data warehouse and served as a resource for contractor questions and business requirements.
  • Supervised two IT contractors and worked in coordination with the DBA team for the development of a data warehouse.
  • Used SSIS 2012 to create ETL packages to Validate, Extract, Transform and Load data to Data Warehouse.
  • Advised in the development of a Global Data Warehouse, populated from multiple applications including an Oracle data stream.

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10. Business Partners

high Demand

Business partners are a group of people working together in a business and are shareholders in the earnings of the company. Business partners are equally responsible for running their company and also share an equal amount of profits made by the company.

Here's how Business Partners is used in Senior Business Intelligence Analyst jobs:
  • Identify critical business problems and translates them into structured analyses by partnering closely with business partners and other internal teams.
  • Collaborated with business partners and technical leads to determine and translate reporting requirements into technology designs.
  • Consult with business partners to define business requirements and translate them into technical solutions.
  • Work with business partners to develop reporting solutions for strategic business initiatives.
  • Possessed solid business acumen to understand needs of business partners.
  • Worked with business partners across multiple operating teams to gather requirements for report design, development, and report production scheduling.
  • Lead marketing initiatives to educate internal BI resources and external business partners regarding the BI tools and services available.
  • Provided training to business partners in the use of six different systems as well as complicated Excel functions.
  • Communicate month end status to Finance business partners.
  • Provide enterprise wide analytical support for both internal & external business partners.
  • Design and develop reports which provide solutions for risk mitigation, support cost-cutting and create efficiencies across various business lines.
  • Oversee criteria development for major events and provide locations and advisor invitee lists to business partners.

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11. Project Management

high Demand

Here's how Project Management is used in Senior Business Intelligence Analyst jobs:
  • Collaborate with internal and external developer teams to gather requirements and create user stories for development using agile project management methodology.
  • Acted as lead from initial RFP requirements gathering and budgeting through project management of solution implementation and post-implementation training.
  • Utilize project management and prioritization abilities to effectively introduce new processes and procedures.
  • Provided Business Analysis and Project Management for the Customer Services Logistics Organization.
  • Managed budget and project management activities.
  • Project 2: The project is to work with WorkZone technology team, to update their Cloud-Based Project Management Software.
  • Implemented project management best practices and tools based on project knowledge, resource allocation and methodologies.
  • Designed and implemented an ETL solution that collected project management data from various sources.
  • Project management for several CSD initiatives (including CSD Marketing and Competitive Research).
  • Utilized agile project management techniques which encourage rapid and flexible response to change.
  • Project management (JIRA).
  • Created and maintained sprint burn down charts, release burndown chart, release backlogs for effective Project Management.

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12. SR

high Demand

Here's how SR is used in Senior Business Intelligence Analyst jobs:
  • Analyze and prepare monthly reporting results to Sr. Mgnt teams on variances of actuals to budget.

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13. Data Quality

high Demand

Here's how Data Quality is used in Senior Business Intelligence Analyst jobs:
  • Participate in data governance corporate initiatives including efforts for data profiling and data quality.
  • Performed risk assessments and proposed solutions to identify and resolve Data Quality issues.
  • Analyze data quality and develop recommendations to resolve/mitigate data quality deficiencies.
  • Automated data quality assurance and Hearst data requirement to feed into KPI reports on demand by using Crystal Reports.
  • Implemented in process controls for data quality checks to reduce errors, re-works, and customer complaints.
  • Developed technical processes for data movement, data quality, data cleansing and other ETL-related activities.
  • Simplified data quality assurance test and data requirement to feed into reports on demand.
  • Trained team members to research data quality issues and track issues ensuring timely resolution.
  • Implement data quality assurance processes to monitor data loading procedures Accomplishments MVP of 2014
  • Compared EHR to patient registries to assess data quality and consistency.
  • Identified and documented data quality issues and data patterns.
  • Resolve data quality issues for REWS data migration.
  • Enhanced various ETL processes to improve data quality.
  • Analyze data quality reports for anomalies.
  • Publicize weekly Chatter Communications and tips to the Marketing teams around Salesforce BI, Data Enhancement and Data Quality releases

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14. SAS

high Demand

SAS stands for Statistical Analysis System which is a Statistical Software designed by SAS institute. This software enables users to perform advanced analytics and queries related to data analytics and predictive analysis. It can retrieve data from different sources and perform statistical analysis on it.

Here's how SAS is used in Senior Business Intelligence Analyst jobs:
  • Train analysts how to effectively write code in SAS Enterprise Guide to pull the data necessary for their analysis.
  • Assisted in automating manual SQL processes that were being run in Toad and SAS.
  • Developed more than 100 different BI reports using Microstrategy and SAS for more than 3000+ users.
  • Analyzed data with millions of rows and working with complex data models using SAS and Netezza.
  • Managed all Private Seller reports in the Micro Strategy and SAS reporting environments.
  • Provided analysis for potential members by preforming demographic analysis utilizing SAS, Crystal and SPFF.

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15. CRM

average Demand

CRM stands for Customer relationship management and it is a complete process through which a business or organization monitors and administers its interactions with the customers. A process in which large amounts of data are collected through marketing via a company's website, polls, surveys, and other social media applications. The basic goal of CRM is to target the right audience for their product, and then fulfill their needs, to increase the sales and revenue of the company.

Here's how CRM is used in Senior Business Intelligence Analyst jobs:
  • Implemented a CRM for a prospect management system with drill-down capability enabling access to data on new business development opportunities.
  • Developed procedures for gathering requirements related to the implementation of a CRM.
  • Develop integration routines in T-SQL and SSIS for the migration from mainframe system and Microsoft CRM 4.0 to Microsoft CRM 2011.
  • Facilitate JAD Sessions leading to more robust requirements and ensuring proper integration between the CRM solution and other Enterprise applications.
  • Provided CRM to owners and operators pertaining to financial services and business analysis for small Mid-West businesses.
  • Implemented report that identified mismatched records between ERP and CRM system; increased data integrity between systems.
  • Worked on CRM Fusion demand tools to clean and/or merge existing data.
  • Worked on multiple projects in Sales & Services CRM Application.
  • Participated in SAP CRM project.
  • Collected and analyzed data by storyboarding and defining business system project objectives and technical specifications for a DSS and CRM deployment.

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16. Data Models

average Demand

Here's how Data Models is used in Senior Business Intelligence Analyst jobs:
  • Managed existing Business Objects infrastructure relating to administration, universes, data models and financial reporting.
  • Create and or update data models including documentation of Metadata ongoing.
  • Perform logical and physical data modeling to support business intelligence initiatives.
  • Coordinated design of consolidated data models.
  • Point of contact for business users and technical folks to help and answer questions regarding data models or BI tools.
  • Review mapping, high level design documents, and data model to ensure accurate business requirements are implemented.
  • Developed a Methodology that enabled the rapid development of a Star Schema data model for Logistics.
  • Worked on data models for database design.
  • Worked on information gathering and development of multi-dimensional data model based on existing SAP BW System.
  • Design data models to support all reporting requirements Manage project from requirements gathering to delivery.
  • Organized Data Modeling and rollout of the new DataWarehouse and DataMart designed for efficient reporting.
  • Developed metadata models using Framework Manager and authored new reports in Cognos Report Studio.
  • Designed, developed and maintained reporting and multi-dimensional data modeling solutions.
  • Engaged with various Data warehousing concepts like Data Modelling, Snowflake Schema, Star Schema, MOLAP, ROLAP and HOLAP.
  • Assigned to Premera Blue Cross as data modeler supporting a variety of reporting systems for this major health insurance provider.
  • Trained the prime contractor's technical staff on the use of building data models using SAP Business Objects SSM software.
  • Created process flows and Business Intelligence Data Models and use cases in MS Visio.
  • Create data models using Oracle Data Modeler, Microsoft Office Visio.
  • Design scalable data models for efficient and fast data access.
  • Create data models using Embarcadero ER/Studio Data Architect.

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Online Courses For Senior Business Intelligence Analysts

One of the best ways to acquire the skills needed to be a senior business intelligence analyst is to take an online course. We've identified some online courses from Udemy and Coursera that will help you advance in your career. Since senior business intelligence analysts benefit from having skills like business process, tableau, and analytics, we found courses that will help you improve these skills.

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Microsoft Power BI - Business Intelligence for Beginners
udemy
4.4
(4,963)

Beginner Course on Power BI: Business Intelligence & Data/Business Analysis with Microsoft Power BI...

Advanced SQL: MySQL Data Analysis & Business Intelligence
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4.7
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Master advanced SQL database coding w/ MySQL Workbench. My SQL course takes your SQL analysis skills to new heights!...

SQL - MySQL for Data Analytics and Business Intelligence
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4.6
(29,139)

SQL that will get you hired SQL for Business Analysis, Marketing, and Data Management...

Complete Business Intelligence with SSIS, SSAS and SSRS
udemy
3.8
(340)

Master Microsoft BI by solving Real-Life Problems. Learn ETL, Integration, Analytics, Reporting and Visualization!...

The Business Intelligence Analyst Course 2021
udemy
4.5
(31,624)

The skills you need to become a BI Analyst - Statistics, Database theory, SQL, Tableau Everything is included...

Data Warehousing and Business Intelligence for Managers
udemy
4
(288)

Manage Data Warehousing and Business Intelligence Developers and Projects...

Learn Data Warehousing and Analysis with Microsoft BI Tools
udemy
4.5
(362)

Learn how extract, clean and load data in a database using Microsoft Excel and Business Intelligence tools...

Business intelligence and data warehousing
coursera

Welcome to the specialization course Business Intelligence and Data Warehousing. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how to identify, design and develop analytical information systems, such as Business Intelligence with a descriptive analysis on data warehouses. You will be able to understand the problem of integration and predictive analysis of high volume of unstructured data (big d...

SQL for Data Analysis: Beginner MySQL Business Intelligence
udemy
4.7
(3,994)

Learn SQL database querying w/ MySQL Workbench. Perfect for SQL beginners and first-time coders...

Data Warehousing for Business Intelligence
coursera

Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics. This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You'll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You'll have the opportunity to work with large data sets in a data warehous...

Design and Build a Data Warehouse for Business Intelligence Implementation
coursera

The capstone course, Design and Build a Data Warehouse for Business Intelligence Implementation, features a real-world case study that integrates your learning across all courses in the specialization. In response to business requirements presented in a case study, you'll design and build a small data warehouse, create data integration workflows to refresh the warehouse, write SQL statements to support analytical and summary query requirements, and use the MicroStrategy business intelligence pla...

Learn SSRS SQL Reporting & Business Intelligence Essentials
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4.3
(777)

SQL Reporting using SSRS gives you hands-on knowledge to make great SQL reports with Business Intelligence essentials...

Business Intelligence and Automated Reports using Power BI
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4.3
(285)

Self-service Business Intelligence with complex, insights-rich, interactive reports and dashboards in Power BI Pro...

Artificial Intelligence for Business
udemy
4.5
(2,408)

Solve Real World Business Problems with AI Solutions...

Business Intelligence Concepts, Tools, and Applications
coursera

This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will gain the knowledge and skills for using data warehouses for business intelligence purposes and for working as a business intelligence developer. You'll have the opportunity to work with large data sets in a data warehouse environment and will learn the use of MicroStrategy's Online Analytical Processing (OLAP) and Visualization capab...

Complete Introduction to Business Data Analysis
udemy
4.5
(7,162)

Move beyond BASIC reports and learn data ANALYSIS. Learn to easily turn data into information, insight and intelligence...

Microsoft Power BI Desktop for Business Intelligence
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4.6
(39,197)

Master Power BI Desktop & learn advanced Power BI analysis & data visualization w/ a top Microsoft Power BI instructor...

SAP BI /SAP Business Objects Web Intelligence
udemy
4.1
(687)

SAP BO 4.1 Web Intelligence course gives you the comprehensive reporting knowledge and real-project perspective!...

Practical SQL Bootcamp for Data Analysts and Data Scientists
udemy
4.4
(668)

Master One of the Most In-Demand Skills for Data Analysts in 2020!...

Microsoft Excel Business Data Analytics
udemy
4.5
(435)

Learn Business Data Analytics Using Microsoft Excel including Pivot Tables, Vlookups and much more...

20 Most Common Skill For A Senior Business Intelligence Analyst

Business Process16.2%
Tableau12.7%
Analytics11.6%
Dashboards8.9%
Data Analysis5.8%
R3.2%
ETL2.7%
SQL2.5%

Typical Skill-Sets Required For A Senior Business Intelligence Analyst

RankascdescSkillascdescPercentage of ResumesPercentageascdesc
1
1
Business Process
Business Process
16.2%
16.2%
2
2
Tableau
Tableau
12.7%
12.7%
3
3
Analytics
Analytics
11.6%
11.6%
4
4
Dashboards
Dashboards
8.9%
8.9%
5
5
Data Analysis
Data Analysis
5.8%
5.8%
6
6
R
R
3.2%
3.2%
7
7
ETL
ETL
2.7%
2.7%
8
8
SQL
SQL
2.5%
2.5%
9
9
Data Warehouse
Data Warehouse
2.4%
2.4%
10
10
Business Partners
Business Partners
2.2%
2.2%
11
11
Project Management
Project Management
2.1%
2.1%
12
12
SR
SR
2%
2%
13
13
Data Quality
Data Quality
1.8%
1.8%
14
14
SAS
SAS
1.8%
1.8%
15
15
CRM
CRM
1.5%
1.5%
16
16
Data Models
Data Models
1.5%
1.5%
17
17
Ssis
Ssis
1.4%
1.4%
18
18
Ssrs
Ssrs
1.3%
1.3%
19
19
Salesforce
Salesforce
1.3%
1.3%
20
20
KPI
KPI
1.2%
1.2%
21
21
Data Requirements
Data Requirements
1%
1%
22
22
Key Performance Indicators
Key Performance Indicators
1%
1%
23
23
Cognos
Cognos
0.9%
0.9%
24
24
User Interface
User Interface
0.9%
0.9%
25
25
HR
HR
0.8%
0.8%
26
26
Microstrategy Desktop
Microstrategy Desktop
0.7%
0.7%
27
27
VBA
VBA
0.7%
0.7%
28
28
Data Integrity
Data Integrity
0.7%
0.7%
29
29
Report Development
Report Development
0.7%
0.7%
30
30
Qlikview
Qlikview
0.7%
0.7%
31
31
T-Sql
T-Sql
0.6%
0.6%
32
32
Sharepoint
Sharepoint
0.6%
0.6%
33
33
Ssas
Ssas
0.6%
0.6%
34
34
QA
QA
0.5%
0.5%
35
35
Java
Java
0.5%
0.5%
36
36
Data Marts
Data Marts
0.5%
0.5%
37
37
Teradata
Teradata
0.5%
0.5%
38
38
Test Scripts
Test Scripts
0.4%
0.4%
39
39
Technical Specifications
Technical Specifications
0.4%
0.4%
40
40
Data Extraction
Data Extraction
0.4%
0.4%
41
41
Toad
Toad
0.4%
0.4%
42
42
ERP
ERP
0.4%
0.4%
43
43
Visio
Visio
0.4%
0.4%
44
44
Web Intelligence
Web Intelligence
0.3%
0.3%
45
45
Data Validation
Data Validation
0.3%
0.3%
46
46
Olap
Olap
0.3%
0.3%
47
47
SME
SME
0.3%
0.3%
48
48
EDW
EDW
0.3%
0.3%

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