Below we've compiled a list of the most important skills for a Business Intelligence Architect. We ranked the top skills based on the percentage of Business Intelligence Architect resumes they appeared on. For example, 14.3% of Business Intelligence Architect resumes contained Analytics as a skill. Let's find out what skills a Business Intelligence Architect actually needs in order to be successful in the workplace.

15 Essential Business Intelligence Architect Skills For Your Resume And Career

1. Analytics

Here's how analytics is used on business intelligence architect resumes:
  • Performed as technical owner for introducing Tableau desktop and server as a preferred data visualization tool for analytics.
  • Directed implementation of Data Warehousing, Business Intelligence and Predictive Analytics for all internal business systems.
  • Developed/implemented a groundbreaking SAP Business Objects Dashboard Reporting Tool for Global Spend Analytics.
  • Designed and developed an enterprise analytics application for supply and demand chain needs.
  • Designed and implemented an enterprise-wide Business Intelligence, Analytics and Planning Strategy.

2. Business Process

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 on business intelligence architect resumes:
  • Analyze business systems and business processes to identify user needs, document requirements, and address operations/process issues/improvements to accomplish business.
  • Managed well file business process definition, requirements gathering, architecture solution, foundation system integration for Information Delivery System.
  • Develop application support structure and business process initiatives.
  • Demonstrated strong knowledge of cross-functional business processes including; marketing, sales, service, finance, supply chain and manufacturing.
  • Gathered, reviewed and validated business processes for all touch-points into customer subject area for the scope of the MDM project.

3. Dashboards

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 on business intelligence architect resumes:
  • Designed and developed performance dashboards used by senior management to monitor business performance and status.
  • Analyzed business and user needs and designed Dashboards to support customer requirements.
  • Developed reports ranging from Operational Customer Statements to Corporate Dashboards.
  • Implemented and delivered MicroStrategy mobile dashboards via MicroStrategy mobile application.
  • Created Operational dashboards to analyze real-time claim processing.

4. ETL

Here's how etl is used on business intelligence architect resumes:
  • Designed and implemented a unique metadata driven ETL solution for aggregated facts using partition switching and parallel processing.
  • Developed front-end, metadata and ETL specification to support business requirements for reporting across the organization.
  • Create ETL framework to effectively handle high volumes of data incrementally without compromising on performance.
  • Implemented technical database solution including data modeling, data base design ETL solutions.
  • Developed code review guidelines for ETL applications and Data Warehouse applications.

5. Data Warehouse

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 on business intelligence architect resumes:
  • Included creating process documentation, agile project management techniques, continuous improvement, data warehouse performance improvement and post project mentoring.
  • Participated in the design and development of an intricate, comprehensive data warehouse solution to standardize reporting across hospital systems.
  • Managed multiple efforts for medium to large clients building enterprise data warehouse and business intelligence solutions.
  • Provide sustainability support model for Master data Management, Data Warehouse and documents all work products.
  • Developed and maintained enterprise data warehouses for a variety of lines of business and department analysts.

6. Data Analysis

Here's how data analysis is used on business intelligence architect resumes:
  • Performed extensive data analysis on Tableau PostgreSQL content store to create data models for custom visualization around Tableau server usage.
  • Orchestrated operational objectives including identifying business intelligence, reporting and data analysis needs.
  • Involved in detail data analysis of data validation, Cleansing, Data consistency and data quality checks.
  • Performed detailed unit / system testing / peer review with in-depth data analysis on various projects.
  • Documented to Data analysis and generating the assessment reports for Chevron's stake holder to review.

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7. Ssis

SSIC stands for Singapore Standard Industrial Classification. It is a national standard for classifying economic activities such as population censuses, household and business surveys, financial databases etc.

Here's how ssis is used on business intelligence architect resumes:
  • Designed and implemented SSIS templates to standardize logging, notification and database connections.
  • Saved over $100k/year by creating SSIS packages to automatically import and export data to new expense-reporting and reimbursement system.
  • Developed SQL Server Databases with SSIS, SSAS, and SSRS to support Enterprise and client Data needs.
  • Created several extracting stored procedures in SSIS ranging from other MS-SQL databases, Excel documents and text files.
  • Build data mart for client reporting in SQL Server, populated via SSIS and converting data for internationalization.

8. Architecture

Here's how architecture is used on business intelligence architect resumes:
  • Developed strategy to incorporate Enterprise Architecture and Information Architecture for inclusion of IT modernization initiatives.
  • Review developers project plans and architecture documents for completeness and perform impact analysis.
  • Designed and Implemented tableau infrastructure architecture using Azure SAML SSO authentication.
  • Developed and started implementation of architecture to modernize BI delivery.
  • Find and recommend performance modifications to the existing architecture.

9. Ssrs

SQL Server Reporting Services, SSRS, is Microsoft's server-based report generating software that includes a variety of tools for creating, managing, publishing, and delivering formatted reports (with tables in the form of data, graphs, images, charts, etc.) and dashboards.

Here's how ssrs is used on business intelligence architect resumes:
  • Developed interactive reporting and analysis delivery platform with SQL Reporting Services (SSRS) and Crystal Reports to support accounting teams.
  • Created numerous enterprise analytic reporting solutions implemented in SSRS based on OLAP Cubes as well as OLTP data including interactive reports.
  • Configured SQL Server 2008 Reporting Services and deployed various SSRS projects to meet the enterprise data reporting needs.
  • Designed and built administrative dashboard reports using SSRS, SharePoint Server, and Power View.
  • Developed and lead teams to develop SSRS reports based upon company standards and business requirements.

10. Hadoop

Hadoop is an open-source software and procedures framework that is free for anyone to use on the internet. Hadoop aids in big data operations. It allows massive data storage, applications to be run on commodity hardware, and can easily manage to run various tasks occurring at the same time.

Here's how hadoop is used on business intelligence architect resumes:
  • Established connectivity to Apache Hadoop from Cognos as well as Tableau.
  • Developed efficient MapReduce programs for filtering out the unstructured data on a Hadoop framework implemented in Pseudo Distributed Mode.
  • Participated in Hadoop cluster development.
  • Conducted research and provided recommendations on providing exploratory analysis utilizing hadoop and other big data technologies.
  • Used Hadoop HDFS, Python to implement data retention process, monitoring, communication with upstream and downstream application.

11. SQL

Here's how sql is used on business intelligence architect resumes:
  • Automated numerous regulatory requirements through data extracts and custom SQL reports.
  • Designed an internal ASP.NET web form app in C# & MS SQL Server for creation of lab reports and invoices.
  • Developed best practice SQL backup strategies including full transaction log and simple backups to ensure business appropriate time of failure resurrection.
  • Involved in creating Excel Workbook Connections using SQL databases in order to load the data to Excel from SQL tables.
  • Coded a Technology Solutions-specific Sales Order Processing (SOP) system based on Visual Basic 6.0 and SQL Server 2000.

12. Ssas

SQL Server Analysis Services (SSAS) is an intricate OLAP server and analytics engine that can manage large quantities of data. It has two variations, Multidimensional and Tabular. As part of Microsoft SQL Server, it can perform analysis using various dimensions. Organizations use this tool to analyse information across multiple databases, or in disparate files or tables. It creates cubes using data from data marts/data warehouse for in-depth for quicker data analysis. Installed as an on-premises server, SSAS supports tabular models at all compatibility levels, data mining, multidimensional models, and Power Pivot for SharePoint.

Here's how ssas is used on business intelligence architect resumes:
  • Designed and implemented SSAS cubes and data mart for Product Management, Game Development and Accounting/Finance Team.
  • Reviewed the SSAS tabs for team and demonstrated the best practice to develop the cubes.
  • Created application specific data marts and deployed SSAS cubes on top the data marts.
  • Created multiple MS SSAS OLAP cubes to support interactive analysis and fast reporting.
  • Created self-service reporting interfaces using SSAS and Business Objects.

13. Data Quality

Here's how data quality is used on business intelligence architect resumes:
  • Manage data quality standards between different business units.
  • Developed high data quality and accurate reports.
  • Review data quality to ensure that reports and analysis are meaningful and accurate; perform data validation.
  • Performed report performance tuning, increase report functionality, data integrity, and data quality.
  • Created data mapping for the Financial Expense, Revenue and Data Quality data marts.

14. Microstrategy Desktop

Here's how microstrategy desktop is used on business intelligence architect resumes:
  • Utilized MicroStrategy data blending features to join data at dashboard level to achieve desired performance requirements.
  • Developed numerous MicroStrategy attributes, facts, MicroStrategy Intelligent Cubes.
  • Coordinated and performed all MicroStrategy software upgrades.
  • Designed the MicroStrategy BI High level & low level documents for developing the data model.
  • Contacted MicroStrategy Support, on 10 occasions, following through from problem to resolution.

15. Cognos

Here's how cognos is used on business intelligence architect resumes:
  • Decomposed business logic for data mapping to be implemented using COGNOS Framework.
  • Provided installation and configuration of COGNOS 8.4 Enterprise Planning solution.
  • Worked closely with executives and senior management to develop reporting solutions for all business units using Cognos Query and Report Studios.
  • Interview users, based on feedback remodel Cognos Framework package as per global conversion/currency requirements.
  • Developed metadata models in Cognos Framework Manager and PowerPlay Transformer models for multiple PowerCubes.
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The eight most common skills based on Business Intelligence Architect resumes in 2022.

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Real Examples Of Business Intelligence Architect Resumes That Use These Skills

List Of Skills To Add To Your Business Intelligence Architect Resume

According to recent trends, the most relevant Business Intelligence Architect Resume Keywords for your resume are:

  • Analytics
  • Business Process
  • Dashboards
  • ETL
  • Data Warehouse
  • Data Analysis
  • Ssis
  • Architecture
  • Ssrs
  • Hadoop
  • SQL
  • Ssas
  • Data Quality
  • Microstrategy Desktop
  • Cognos
  • Data Governance
  • Metadata
  • Java
  • Olap
  • Data Marts
  • EDW
  • Data Integration
  • CRM
  • SAS
  • Salesforce
  • Teradata
  • Windows
  • Pl/Sql
  • T-Sql
  • Sharepoint
  • Physical Data Models
  • ERP
  • MDX
  • Qlikview
  • Linux
  • Data Extraction
  • KPI
  • Procedures
  • Web Intelligence
  • Unix
  • Oltp
  • QA
  • UAT
  • MDM
  • DB2
  • Netezza
  • Universes
  • ODS

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Online Courses For Business Intelligence Architects

One of the best ways to acquire the skills needed to be a Business Intelligence Architect 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 Business Intelligence Architects benefit from having skills like Analytics, Business Process, and Dashboards, we found courses that will help you improve these skills.

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SQL - MySQL for Data Analytics and Business Intelligence
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SQL Server Analysis Services - SSAS, Data Mining & Analytics
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Develop SSAS cubes from data warehouse on Multidimensional & Tabular modes with Dimensional & Data Mining Models...

Become an SQL Developer: Learn (SSRS, SSIS, SSAS,T-SQL, DW)
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Learn SQL Developer Skills from Scratch(SSRS, SSIS, SSAS,T-SQL, Data Warehouse(DW))...

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

Learn Data Warehousing and Analysis with Microsoft BI Tools
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Learn how extract, clean and load data in a database using Microsoft Excel and Business Intelligence tools...

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

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

Advanced Tableau for Business Intelligence & Data Analysis
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Build expert-level Tableau skills with real-world business intelligence & data visualization projects (Tableau 2020.2+)...

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Gain Business Intelligence from Transforming Data...

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

Implementing a Data Warehouse with Microsoft SQL Server
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Design and implement a data warehouse...

SQL for Data Analysis: Beginner MySQL Business Intelligence
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Data Warehousing for Business Intelligence
coursera

Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\n\nThis 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 wareh...

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This course teaches you MSBI from basic level to advanced level. Covers all 3 concepts SSIS, SSAS and SSRS...

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 SQL Bootcamp for Data Science, Analytics, Marketing
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Master SQL for Job Interview Preparation, Data Analysis, Big Data, and Business Intelligence...

Implementing a Data Warehouse with SQL Server 2012
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Artificial Intelligence for Business
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Database Design and Operational Business Intelligence
coursera

The goal of this specialization is to provide a comprehensive and holistic view of business intelligence and its enabling technologies, including relational databases, data warehousing, descriptive statistics, data mining, and visual analytics. Through this series of courses, you will explore relational database design, data manipulation through Extract/Transform/Load (ETL), gaining actionable insight through data analytics, data-based decision support, data visualization, and practical, hands-o...

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Most Common Skills For Business Intelligence Architects

RankBusiness Intelligence Architect SkillPercentage of Business Intelligence Architects
1Analytics14.3%
2Business Process12.2%
3Dashboards6.7%
4ETL6.4%
5Data Warehouse4.6%
6Data Analysis3.6%
7Ssis3.2%
8Architecture2.8%
9Ssrs2.6%
10Hadoop2.3%
11SQL2.1%
12Ssas2.1%
13Data Quality2%
14Microstrategy Desktop1.9%
15Cognos1.9%
16Data Governance1.8%
17Metadata1.7%
18Java1.7%
19Olap1.7%
20Data Marts1.5%
21EDW1.5%
22Data Integration1.4%
23CRM1.4%
24SAS1.3%
25Salesforce1.2%
26Teradata1.2%
27Windows1.2%
28Pl/Sql1.2%
29T-Sql1.1%
30Sharepoint1.1%
31Physical Data Models1%
32ERP0.8%
33MDX0.8%
34Qlikview0.8%
35Linux0.8%
36Data Extraction0.7%
37KPI0.7%
38Procedures0.6%
39Web Intelligence0.6%
40Unix0.5%
41Oltp0.5%
42QA0.5%
43UAT0.4%
44MDM0.4%
45DB20.4%
46Netezza0.4%
47Universes0.4%
48ODS0.4%

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