Business Intelligence Engineer Resume Sample
Cora Krajcik
8235 Alicia Rapid,
New York,
NY
+1 (555) 824 6189
Work Experience
Lead Business Intelligence Engineer
06/2015
-
PRESENT
Los Angeles, CA
- Acting as the single point of application engineering accountability for MDM project/program managers on assigned engagements
- Working closely with off-shore 3rd party vendors to deliver projects to time, cost and quality requirements primarily on the Microsoft technology platform
- Ensuring that application engineering and architecture standards are met as prescribed by IT Services through the effective implementation or use of approved processes, methodologies and deliverables primarily based upon the Microsoft Business Intelligence technology platform
- Provide significant amount of hands-on coding and configuration, including code reviews and cross-checking of 3rd party development
- Adhere to performance and delivery targets within a program/project
- Develop and maintain strong working relationships with other IT Service groups and customers to expedite delivery of IT solutions
- Provide technical guidance and coaching and expertise to team members, colleagues and/or customers
- Assisting in the broader development of application engineering policies, standards and procedures
Business Intelligence Engineer
06/2009
-
12/2014
Philadelphia, PA
- Work collaboratively with business management and staff to deliver technical solutions that meet customer needs. Work effectively with customers in all phases of application development projects, potentially including requirements gathering, design, testing and change management
- Keep abreast of new BI and related technology and trends and assess when and if new technology is needed. Participate in quality or process improvement activities, including regular reviews of systems and technology. Design and implement modifications or improvements, based on those activities
- Provide input on strategies and tactics regarding platforms, tools and technical staffing to meet customer needs. Provide input to business cases, contracts, project plans, scope of work, status and project summary reports
- Work with business users and other stakeholders to understand business processes and translate them into functional and non-functional specifications for BI solutions
- Extend functionality of existing code base per new requirements including cases where there is minimal existing design documentation
- Develop Ad-hoc, Standard, Dashboards, and other reports using Tableau/SQL Server Reporting Services (SSRS) from a variety of data sources including Analysis Services Cubes and relational databases
- Work with a minimal amount of direction while being pro-active in keeping their management informed of project related issues
- Help to establish and standardize report production and policies
- Interact with business users and provide solutions
Entry Business Intelligence Engineer
02/2004
-
01/2009
Philadelphia, PA
- Resolution of incidents and problems for BI systems to ensure service and operational excellence (meet and exceed all service levels across Enterprise Platform)
- Ensure that all solutions implemented comply with the defined SOX and Audit requirements
- Provision of out of hours support for BI systems, as designated by the BI Manager
- Understand the business systems technology and application roadmaps
- Build key business stakeholder relationships to ensure clear understanding of business requirements, business benefits, budget and delivery timelines
- Seeks to understand Amazon’s leadership principles, Smart Home business strategy and initiatives, and translates those into everyday practices
- Design, develop, implement and maintain of Business Intelligence (BI) solutions to support business needs, following BI development best practices and innovative use of appropriate technologies and systems
Education
Southwest Minnesota State University
1999 - 2003
Bachelor's Degree in Computer Science
Professional Skills
- Excellent business judgement with strong written, verbal, listening, communicating, and negotiating skills
- Proven written and verbal communication skills Experience reporting compelling and concise data insights to leadership
- Excellent oral and written communication skills including the ability to communicate effectively with a wide range of audience
- Strong verbal and written communication skills, including an ability to effectively interact and influence interactions with both business and technical teams
- Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical team
- Intellectually curious, exceptionally organized team player with strong attention to detail and proven problem solving and project management skills
- Excellent communication (verbal and written) and interpersonal skills, with demonstrated ability to communicate with business and technical teams
How to write Business Intelligence Engineer Resume
Business Intelligence Engineer role is responsible for business, technical, analytical, advanced, presentation, sql, analysis, interpersonal, modeling, etl.
To write great resume for business intelligence engineer job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Business Intelligence Engineer Resume
The section contact information is important in your business intelligence engineer resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Business Intelligence Engineer Resume
The section work experience is an essential part of your business intelligence engineer resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous business intelligence engineer responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular business intelligence engineer position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Business Intelligence Engineer resume experience can include:
- Proven experience writing complex SQL queries to extract data from various data sources; data extraction, analytical and problem solving skills
- Demonstrated interpersonal skills and ability to manage competing priorities and drive projects to completion in a fast-paced and ever-changing environment
- Strong BI skills, including reporting, data cleanup, ETL and handling scalability issues for enterprise BI
- Relevant work experience in a role requiring application of analytic skills to integrate data into operational/business planning
- Strong SQL skills; understanding of data warehousing principals and relational databases
- Demonstrated experience managing and prioritizing workload and roadmaps
Education on a Business Intelligence Engineer Resume
Make sure to make education a priority on your business intelligence engineer resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your business intelligence engineer experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Business Intelligence Engineer Resume
When listing skills on your business intelligence engineer resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical business intelligence engineer skills:
- Good stakeholder management skills, able to build professional relationships effectively and manage business stakeholder expectations
- Strong communication and presentation skills necessary to build effective working relationships and positively influence decision making
- Strong organizational skills and attention to detail. Ability to manage competing priorities simultaneously and drive projects to completion
- Good analytical skills with good understanding of data from a business perspective
- Possessing excellent analytical skills, able to recognize data patterns and troubleshoot the data
- Excellent communications skills to interact with client and other developers, including training and mentoring of team members
List of Typical Experience For a Business Intelligence Engineer Resume
1
Experience For Lead Business Intelligence Engineer Resume
- Application development experience. Strong analytical and problem solving skills
- Prior experience in identifying requirements, prioritizing and formulating business analyses and developing metrics for business decisions
- Team player, with solid communication skills
- Proven analytical and quantitative skills and an ability to understand and translate business and product questions into analytics projects
- Excellent SQL skills Deep understanding of Data Architecture and Data Management principles
- Create new metrics and KPIs that effectively guide the business and deploy effective dashboards to surface them to senior leadership
2
Experience For Ghrs, Business Intelligence Engineer Resume
- Strong verbal/written communication & data presentation skills
- Advanced skills in data analysis, data mining and data modeling (including creating the data mart/warehouse design and table structures)
- Experience working in a data warehouse environment and a strong understanding of dimensional data modeling concepts
- Experience in data engineering. Hands-on experience with modern Business Intelligence, ETL and data warehousing technologies
- Exceptional troubleshooting skills while solving technical problems
- Proven experience in building scalable, enterprise level BI offerings using Tableau, QuickSight, MicroStrategy, etc
- Proven experience deploying Machine Learning-based Risk algorithms
3
Experience For Entry Business Intelligence Engineer Resume
- Demonstrated professional experience with statistical modeling tools and Machine Learning desirable
- Experience building data pipelines that process data from numerous sources into a consolidated visualization/reporting layer
- Strong experience building and troubleshooting system/application/infrastructure
- Expertise & credibility in own area, interest in expanding expertise, learning new skills and desire to achieve ‘expert’ status
- Combine knowledge of statistical methodology and analysis with programming skills to support complex analyses
- Strong experience with reporting tools like Tableau or other BI packages
- Proven experience with relational data sets, data warehouses, data mining and data analysis techniques
- Use SQL skills to deep dive, find issues and come up with solutions to existing problems
- Knowledge of eCommerce customer flows and proven experience of developing data visualization solutions to drive the business
4
Experience For Business Intelligence Engineer, Alexa AI Resume
- Proven experience working in the ecommerce industry
- Proven hands-on work experience with QlikView, QlikSense and/or NPrinting
- Proven experience in working with databases and SQL in a business environment
- Demonstrated experience working in large scale data bases and data warehouses
- Strong bias for action, including the ability to juggle multiple priorities and ability to meet deadlines
- Advanced knowledge and expertise with data modeling skills, advanced SQL with PostgreSQL and other Columnar Databases
- Excellent written and verbal communications across technical and non-technical stakeholders and experience presenting to senior executives
- Advanced skills in Excel as well as any data visualization tools like Quicksight, Tableau or similar BI tools
5
Experience For Business Intelligence Engineer, Amazon Games Resume
- Strong data modeling/design experience
- Relevant work experience in Data Science, Business Analytics, Business Intelligence (BI), or comparable experience
- Track benefits after deployment on existing projects that have the potential to provide material improvements in customer experience/Seller experience
- Advances skills in the design and development of OBIEE repository databases (RPDs), analyses and dashboards
- Advanced skills in Excel as well as any data visualization tools like Quicksight, Power BI
- Validate reports for complete accuracy prior to distribution
6
Experience For Business Intelligence Engineer Lead Resume
- Relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in other big data environments
- Demonstrated experience with statistics (correlations, multivariate regressions, causal analysis, etc.)
- Exceptional written and verbal language skills in English
- Superior analytical ability and technical skills to come up with quick, innovative solutions
- Exceptional customer engagement skills and willingness to work in U.S. time zones
- Proven experience as a Data or Business Analyst
7
Experience For Business Intelligence Engineer, Alexa Resume
- Between 2 and 3 years’ experience in relational database concepts with a solid knowledge of SQL for data extraction and processing end to end
- Proven experience with SQL, Excel and SAS or R
- Interact effectively with management, peers, and other employees relative to quality and technical issues
- Prior experience with Big data systems (redshift, EMR, Hadoop),
- Advanced software development skills e.g. JAVA, Python, C#, C++, Scala, PowerShell, Visual Basic
8
Experience For Manager Business Intelligence Engineer Resume
- Work effectively in a multi-task and high volume environment
- Effectively communicate and influence both business and technical teams
- Be comfortable with ambiguity and curious to learn new skills
- Being at the cutting edge of utilizing data about consumers in the media industry to improve audience experience
- Recognizing and adopting best practices in reporting and analysis; data integrity, test design, analysis, validation and documentation
- Uncovering trends and correlations through data mining and analysis to develop insights that can help our stakeholders to make effective decisions
- Streamlining user experience to confidential reports in adherence with security protocols
- Identifying the data quality issues across S3 and Redshift to address them immediately to provide great user experience
- Programming experience in HTML, JavaScript, CSS, Python, or C#
9
Experience For Business Intelligence Engineer, Promise Resume
- Prototyping experience to refine requirements
- Programming experience in Python, Java, C++ or other language
- Data-driven, analytics or engineering experience demonstrating success in ingesting, analyzing, and presenting large data-sets
- Experience in designing and implementing custom reporting systems by managing or guiding technical teams with tools such as Tableau or MicroStrategy
- Experience in gathering and defining requirements and formulating business metrics for complex reporting
- Experience with data mining, machine learning, and creating/optimizing predictive models
10
Experience For Business Intelligence Engineer, Smart Home Resume
- Experience working with maintaining and patching sata science tools list using R, Python, etc
- Experience of building and operating data warehouse solutions (including expertise of query/scripting languages)
- Experience leading data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies
- Experience managing and processing pre-existing Microsoft Excel-based datasets into more robust reporting solutions
- Experience with analytical techniques, such as regression analysis, predictive modeling, segmentation, forecasting, hypothesis testing, multi-variant testing
- Experience performing regression analysis and building classification models using machine learning algorithms
- Experience in performing regression analysis and building classification models using machine learning algorithms
List of Typical Skills For a Business Intelligence Engineer Resume
1
Skills For Lead Business Intelligence Engineer Resume
- Strong analytical and communication skills combined with strong technology skills
- Excellent data modelling skills to ensure implementation of understandable and scalable data assets
- Demonstrable skills and experience using SQL with large data sets (for example, Oracle, DB2, SQL Server)
- Strong troubleshooting skills, analytical ability, judgment and problem analysis techniques
- Knowledge and experience using SQL, VBA, and Data Warehouse. This includes the skills needed to create a SQL database from scratch
- Strong data extraction skills using SQL, HiveQL, and Python
- Strong analytical & problem solving skills are needed
- Strong SQL, ETL and data modeling skills
- Strong English communication skills in both written and verbal formats is essential
2
Skills For Ghrs, Business Intelligence Engineer Resume
- ETL skills (more experience the better, but not SSIS)
- Solid technical experience (in corporate), strong consulting background PERFORMANCE INDICATORS
- SQL skills and experience querying large data sets from multiple sources
- Demonstrated ability to work effectively across internal organizations
- Strong skills in Business Intelligence visualisation tools such as Tableau, Spotfire or Power BI
- Leverage strong data extraction skills and ETL tools to drive worldwide reporting deliverables
- Excellent communication (verbal and written), interpersonal skills and attention to detail
- Strong oral, written and presentation skills combined with the ability to lead group discussions and explain complex solutions
3
Skills For Entry Business Intelligence Engineer Resume
- Strong SQL experience writing complex queries to pull data and experience working with very large, disparate data sets
- Expert Data Analysis skills. Proven ability in understanding business processes, logical data models and relational database implementations
- Proven ability to tell a story with data through detailed deep dive analysis and effectively communicating actionable insights to senior leadership
- Strong analytical skills using programming languages such as R, Python, and Octave
- Good skills in people management and colleagues mentoring
- Strong database and SQL skills are essential
- Be a strong agile team member, mentor others, and communicate effectively
4
Skills For Business Intelligence Engineer, Alexa AI Resume
- Coding skills in one of the modern languages Java, Python, Scala, or R
- Deep experience in building and leveraging analytical data warehouses (i.e., SQL rock star, dimensional data modeling, experience with ETL, etc.)
- Experience in a data warehouse or database. Experience creating a data model, creating SQL queries and performance tuning
- Good experience of reporting tools, preferably SQL Server Reporting Services but Business objects, Crystal reports or similar are acceptable
- Data integration experience including the creation of extracts, testing, data quality and data validation checks
- Experience in Capacity Planning, Forecasting, Supply Chain or Inventory Management strongly desired
- Experience with Cognos reporting or extensive experience in Reporting
- Advanced skills in Excel, , data modeling, ETL development, and data warehousing
- Strong experience with SQL Server and SQL Programming
5
Skills For Business Intelligence Engineer, Amazon Games Resume
- Previous experience in tools like experience with Tableau, Analysis Services, MicroStrategy or similar BI Reporting Platform
- Demonstrated experience with adhering to usability, design, and development standards
- Strong architectural experience in context of deploying cloud-based data solutions
- Hands on ETL and Data modeling skills
- Strong experience with Excel, SQL and working with databases
- Proven experience working with BI and development tools such as BO, Crystal Reports, PL/SQL and TOAD
6
Skills For Business Intelligence Engineer Lead Resume
- Experience in relational database concepts with a solid knowledge of star schema, Oracle, SQL, PL/SQL, SQL Tuning, OLAP, Big Data technologies
- Expert in data extraction using SQL in Oracle. Strong ETL experience
- Relevant experience in business intelligence role, including data storage techniques and technology, or experience in analytics, business analysis
- Manages and supervises personnel, including evaluation and guidance of their skills
- Technical aptitude and problem-solving skills, cooperative approach
7
Skills For Business Intelligence Engineer, Alexa Resume
- Create solutions for unique requirements using analytical skills
- Prior experience with; Hadoop, Kafka, Hive, Impala, HBase or other relevant Big Data technologies
- Prioritize and manage multiple priorities simultaneously
- Work effectively & independently in a fast-paced environment with tight deadlines work
- Experience with relational and star schema data modelling concepts with a solid knowledge of SQL and PL/SQL
- Good experience in SQL Server Integration Services
- Advanced Microsoft Office skills, particularly Excel and analytical platforms
- Effectively communicate (written and verbal) solutions and methodologies to senior leadership
8
Skills For Manager Business Intelligence Engineer Resume
- Advanced skills using SQL, Unix, ETL and databases in a business environment with large-scale, complex datasets; query tuning, data modeling
- Effectively manage ad hoc analytic & reporting requests
- Partner with stakeholders to understand business needs, identify MicroStrategy based BI solutions and communicate these effectively
- Proven experience writing basic and complex SQL queries
- Demonstrated experience of managing projects from ideation to implementation, working closely with product managers, research scientists, and technical teams
- International business experience or experience in a global company
- Prior experience in a Business Intelligence Engineer role with a technology company or financial institution
9
Skills For Business Intelligence Engineer, Promise Resume
- Prior experience in a BI role with a technology company or financial institution
- Hands on relevant experience, technical industry experience
- Work effectively with both technical resources and non-technical partners
- Clean presentation skills
- Partner with stakeholders to understand business needs, data-driven solutions and communicate these effectively
10
Skills For Business Intelligence Engineer, Smart Home Resume
- Fluency in English is required; Exemplary verbal and written communication skills
- Relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments
- Proven experience working in Analytics/Business Intelligence environment
- Demonstrated experience in working with databases and SQL in a business or government environment
- Proven experience using analytical packages and query languages such as SAS, SPSS, and SQL
- Apply analytical, computer, statistical, and quantitative problem solving skills
- Advanced skills in extract, transform and load (ETL) concepts and using ETL tools (e.g. Oracle Data Integrator)
List of Typical Responsibilities For a Business Intelligence Engineer Resume
1
Responsibilities For Lead Business Intelligence Engineer Resume
- A few years of strong quantitative and qualitative experience in Logistics/Supply Chain, Transportation, Engineering or Business experience
- Solid analytical and problem solving skills and ability to learn new techniques and tools
- Solid verbal and written communication skills including technical topics to non-technical audiences
- Strong written and verbal communication and data presentation skills
- Outstanding analytical and customer service/teamwork skills required
- Proven experience in using databases (e.g. Oracle, Redshift), and data visualization/BI tools (e.g. Tableau, Microstrategy, Qlikview)
- Experience with scripting (python, Unix shell, JavaScript, VBA) and/or Object oriented programming experience
- Perform deep-dives/root cause analysis to answer business questions and effectively communicate the insights to senior leadership
- Effectively present the analysis / findings to a diverse audience within the organization
2
Responsibilities For Ghrs, Business Intelligence Engineer Resume
- Experience with data visualization, reporting/analytics software or general UI experience
- Data integration experience including creation of extracts, testing, data quality and data validation checks (SSIS, Informatica, DataStage, etc.)
- Excellent knowledge of SQL and Python with at least 4+ years of experience in RDBMS or columnar databases
- Olid experience as a database developer in OLAP environment
- Preference for prior technology or media company experience
- Relevant experience with in the industry or relevant combination of education and experience
3
Responsibilities For Entry Business Intelligence Engineer Resume
- Prior experience in Retail, Consumables, and/or Supply Chain Management industry
- Proven experience with Analytical and Process Improvement-related initiatives
- Prior experience as a BI/Analytics application developer/engineer
- Proficient PC Skills - (Excel, Word, PowerPoint, Visio, SSH and other technical software)
- Apply strong SQL experience to resolve and/or explain highly complex data issues
4
Responsibilities For Business Intelligence Engineer, Alexa AI Resume
- Experience in SQL report creation. Proficiency demonstrated with reports combining multiple tables using unexpected foreign keys
- Able to take a systematic, thorough approach with ability to work effectively in a time pressured environment
- Advanced data analysis and statistical skills in SAS/R, Excel, and similar statistical packages to access and transform data into insights
- Proposing and prioritizing changes to key metric reporting, creating additional metrics and processes based on program changes and customer requirements
- Experience leading large-scale data warehousing and analytics projects, including using AWS technologies
- Experience writing technical documentation and user guides; providing end-user training and support
- Experience with Tableau or other similar BI reporting tools, including administration, modeling, and report/dashboard development
5
Responsibilities For Business Intelligence Engineer, Amazon Games Resume
- Experience developing data warehousing implementations with Microsoft SQL Server, using SQL and SSIS
- Experience using, writing and optimizing SQL queries in a business environment
- Experience in working with reporting systems and interacting with technical teams
- Execute against the BI and data reporting roadmap, prioritizing long-term and short-term initiatives that generate or automate data reporting needs
- Participate in strategic & tactical planning discussions and solve difficult problems in building the next generation of our paying experience software
6
Responsibilities For Business Intelligence Engineer Lead Resume
- Experience using, writing, and optimizing SQL queries in a business environment
- Experience in working as an analytics or data engineering member, partnering with cross functional teams
- Strong working knowledge with programming languages including SQL and Python
- Experience with setting up reporting dashboards using technologies like Business Objects, Cognos, Tableau, MicroStrategy etc
- Professional experience working with data visualization using Tableau or similar tools and building scalable automated reports
7
Responsibilities For Business Intelligence Engineer, Alexa Resume
- Experience scripting using Perl, Ruby, Python, or other programming language
- Experience using Cloud Storage and Computing technologies such as AWS RedShift/S3, Hadoop as well as scripting: R, Python, Ruby
- Previous experience with reporting and visualization using Tableau or other data visualization and reporting packages
- Experience working with business, product, marketing to determine stakeholder needs and with engineering teams to technically execute
- Experience with SQL, data modeling, data mining, and working with large-scale datasets
- Experience developing data management systems, tools and architectures using SQL, databases, Redshift and/or other distributed computing systems
8
Responsibilities For Manager Business Intelligence Engineer Resume
- Previous experience with reporting and visualization using Tableau, Cognos cubes or other OLAP cube/data visualization and reporting package
- Experience in data warehousing and data modelling (fact/dimension, type2, conforming, etc.)
- Experience in designing and building compelling dashboards to track metrics and goals
- Strong understanding of BI technologies and their application including data-warehousing and dashboard creation
- Experience in maintaining data warehouse systems and working on large scale data transformation using AWS technologies, such as S3 and Redshift
9
Responsibilities For Business Intelligence Engineer, Promise Resume
- · Experience in designing and building data infrastructure/automated reporting tools
- Experience working with data related to online marketing (eg Display Ads) or performance based advertising (eg Google Ad Words)
- Experience collecting, analyzing and documenting user requirements
- 4) Solid background in machine learning and advanced statistical techniques (Regression, Boosting, Bagging, Neural Networks)
- Has a solid understanding of efficient and scalable data processing and an ability to use the data in financial and statistical modeling
- Experience summarizing the data in a system using reporting generation frameworks like Tableau
- Knowledge and direct experience using BI reporting tools to produce actionable insights
- Experience using SQL, and BI reporting tools with complex datasets
- Experience with major programming language (Java, Python, etc) and/or scripting language (Perl, Unix Shell, etc)
10
Responsibilities For Business Intelligence Engineer, Smart Home Resume
- Experience with developing forecasting models desirable
- Good understanding of Manufacturing and Supply Chain processes and environment
- Experience in data modeling, ETL development, and data warehousing
- Experience using business intelligence tools including Tableau, Quicksight and Alteryx
- Experience in projects involving cross-functional teams and successfully completing complex, large scale projects
- Good understanding and knowledge of Bash scripting
- Three years of relevant experience of creating analyses, building metrics decks, dashboards or other BI solutions
- Previous experience deploying Machine Learning-based Risk algorithms
- Relevant experience in a business intelligence role, including data warehousing and business intelligence tools, techniques and technology
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