Business Intelligence Data Analyst Resume Sample

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Allene Wolff
430 Chance Drive,  Detroit,  MI
+1 (555) 256 7240

Work Experience


Senior Business Intelligence Data Analyst
03/2016 - PRESENT
Philadelphia, PA
  • Values. Demonstrates in word and action the Y’s core values of caring, honesty, respect, and responsibility and a commitment to the Y’s mission, in all matters at all times
  • Inclusion. Values all people for their unique talents, and takes an active role in promoting practices that support diversity, inclusion, and cultural competence
  • Relationships. Builds authentic relationships in the service of enhancing individual and team performance to support the Y's work
  • Influence. Employs influence strategies that engage, inspire, and build commitment to the cause and overall Y goals
  • Communication. Listens and expresses self effectively and confidently in a manner that reflects a true understanding of the needs of the audience
  • Developing Others. Recognizes and acts on the need to continually develop others’ capabilities to attain the highest level of performance possible
  • Decision Making. Integrates logic, intuition, and sound judgment to analyze information to identify greatest opportunities, make sound decisions, and solve problems
Business Intelligence Data Analyst
10/2011 - 09/2015
Phoenix, AZ
  • Change Capacity. Leads self and others through change by navigating ambiguity appropriately and adapting well to new situations, obstacles, and opportunities
  • Emotional Maturity. Demonstrates effective interpersonal skills
  • Quality Results.Demonstrates and fosters a strong commitment to achieving goals in a manner that provides quality experiences
  • Innovation. Participates in the generation, experimentation, and implementation of new approaches and activities that improve and expand the Y’s mission and work
  • Has Business Intelligence experience in one or more industries
  • Exposure to finance, sales, operations or IT data desirable
  • Project management is desirable – either agile or waterfall
  • Has excellent interpersonal skills and is fully experienced at dealing with clients/users
Senior Business Intelligence Data Analyst
01/2006 - 08/2011
Chicago, IL
  • Has a good understanding of concepts and practices required to implement effective information systems
  • Experience of exploring and refining data sets before establishing reports / analytics
  • Values. Demonstrates in word and action the Y’s core values of daring, honesty, respect, and responsibility and a commitment to the Y’s mission, in all matters at all times
  • Quality Results. Demonstrates and fosters a strong commitment to achieving goals in a manner that provides quality experiences
  • Prior hands-on experience in using ETL tools - SSIS, MICROSOFT BI or other related BI tools
  • Excellent understanding of data administration and management functions (i.e. data collection, data analysis, data distribution, data consumption, etc.)
  • Prior hands-on experience in using ETL tools - SSIS, MICROOSFT BI or other related BI tools

Education


Ohio University
2002 - 2006
Bachelor's Degree in Related Field

Professional Skills


  • Good communication skills with proven ability to effectively influence, teach and enable business users to make effective use of data tools
  • Good communication skills with proven ability to effectively coordinate with internal and external customers
  • Deep experience with data visualizations and tools, preferably Tableau Experience working with Tableau & Business Intelligence and Reporting experience
  • Excellent computer skills and proficient in Microsoft Excel
  • Demonstrated experienced developing ETL layer and building, programming, and maintaining, databases and data warehouses
  • Intermediate to advanced skills using Business Intelligence tools such as as SQL, Cognos, SPSS, JMP, and Tableau to pull data and perform quantitative analysis
  • Experience business/systems analysis and/or data mining experience

How to write Business Intelligence Data Analyst Resume

Business Intelligence Data Analyst role is responsible for microsoft, business, education, intelligence, analytical, direct, reporting, enterprise, vendors, excel.
To write great resume for business intelligence data analyst job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Business Intelligence Data Analyst Resume

The section contact information is important in your business intelligence data analyst 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
  • Email
  • Telephone number

Work Experience in Your Business Intelligence Data Analyst Resume

The section work experience is an essential part of your business intelligence data analyst 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 data analyst 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 data analyst position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Business Intelligence Data Analyst resume experience can include:

  • Strong analytical and critical thinking skills applied to large and complex datasets
  • Possess strong written and verbal interpersonal skills
  • Strong project management, agile delivery and organizational skills
  • Good understanding and experience of SQL
  • 5 – 10 years experience as a Business/Data Analyst, position level commensurate with experience
  • Proven ability to work independently, prioritize tasks, and problem-solve

Education on a Business Intelligence Data Analyst Resume

Make sure to make education a priority on your business intelligence data analyst 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 data analyst 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 Data Analyst Resume

When listing skills on your business intelligence data analyst 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 data analyst skills:

  • Excellent computer skills with demonstrated and proven experience with Microsoft Excel, data warehouse and reporting
  • Excellent analytical skills, such as analyzing root cause, data profiling, exploration, validation and data quality
  • Strong interpersonal, written and verbal communication skills with demonstrated ability to work in a team environment and as a sole contributor
  • Demonstrating decision making, prioritization, organizational and time management skills
  • Strong quantitative, data analysis, and analytical thinking skills is required
  • Strong quantitative, data visualization, data analysis, and analytical thinking skills is required

List of Typical Experience For a Business Intelligence Data Analyst Resume

1

Experience For Business Intelligence & Data Analyst Resume

  • Possess excellent oral and written communication skills, and is comfortable presenting to everyone from entry-level employees to senior vice presidents
  • Independently execute frequent projects using advanced excel skills and other data management tools as applicable
  • Programming experience, typically Visual Basic, Python, SQL, SAS or SPSS syntax
  • Experience leading and assisting team-based projects
  • Business Intelligence Software Experience applied to predictive analytics / data mining
  • Data mining experience
  • Analytical and problem solving experience
  • Experience with word processing, presentation and spreadsheet applications software, i.e. Excel, PowerPoint
  • Collect, format, validate and present monthly inventory and point-of-sale data from the high value retail customers
2

Experience For Senior Business Intelligence Data Analyst Resume

  • Designing, documenting, developing and maintaining data management and reporting scripts
  • Recommending and supporting policies and procedures for maintenance of databases
  • Supporting both iterative and traditional software development, unit and integration testing
  • Trading & Sales Management
  • Providing guidance for the development, maintenance and performance of scalable systems
  • Assist with the implementation and continuing support of critical business intelligence reporting systems which consists of, but is not limited to
  • Provide reporting, monitoring, and documentation of analyses and analytic processes
  • Provide updates to recurring reports, and assists in the quality assurance processes for other recurring reports
3

Experience For Business Intelligence Data Analyst Resume

  • Knowledge of at least one of the following BI Environments: Tableau/ OBIEE/ SAP BI/ QlikView/ Anaplan/ Cognos
  • Production of interactive dashboards primarily using Tableau as a tool
  • Sales and Trading teams
  • Provide support the implementation of the Performance Measurement & Reporting vision and strategy
  • Provide data mining and predictive analytics expertise in support of business units and continuous improvement activities
  • Design user interface and visual layout of data for simple custom reporting prototypes
  • Assessment of data cubes and thorough quality checks of data analysis and programming
4

Experience For Business Intelligence & Data Analyst Resume

  • Writes complex, highly-optimized queries across large volumes of data to create detailed and accurate outputs with understanding of statistics
  • Performs ad-hoc data analysis and reporting
  • Participate in the documentation and modeling of the data architecture
  • Work with internal bug tracking and project management tools
  • Compile analytics results into an easy to understand format consumable by business users
5

Experience For Senior Business Intelligence Data Analyst Resume

  • Convert common adhoc requests into repeatable processes
  • Work collaboratively with various departments including on-site engineers, vendors and other team members to establish facility service request work priorities
  • Administers property assets and related maintenance schedules and maintain inventory of spare parts for all property assets
  • Responsible for production of monthly, quarterly, annual and ad-hoc reporting. Reports include work order activity, scheduled maintenance, service level compliance, labor reporting, and training
  • Building and maintaining relationships with functional representatives to understand their requirements and ensure business intelligence provided is fit for purpose
  • Identifying and specifying research requirements to facilitate the production of business intelligence relating to functional trends, developments and best practice
  • Sourcing and managing a range of specialist research suppliers to provide external information ensuring research outputs meet specified requirements cost effectively
6

Experience For Business Intelligence Data Analyst Resume

  • Consolidating and analysing research information from a variety of channels to produce timely, accurate, insightful and focused business intelligence
  • Reporting and communicating relevant business intelligence to appropriate functional stakeholders in appropriate formats to support and inform business activities and decisions
  • Providing advice, guidance and coaching to less qualified and/or experienced colleagues to raise standards and expertise across the business intelligence community
  • Creation of data workflows using Alteryx/Python, transforming raw data, through exploratory analysis and algorithmic development, to production and ongoing improvement
  • Provide input and make recommendations to identify, enhance, efficiently collect, and consolidate core models and associated analytics
  • Validate and reconcile data content; research and correct inaccuracies in data content
  • Assist management by blending, extracting and analysing data
  • Tell a compelling story with data to provide actionable insights allowing instant decision making at management levels
  • Facilitates projects and initiatives that are large to medium in size and complexity
7

Experience For Business Intelligence & Data Analyst Resume

  • Oversees the work to analyze and translate requirements into design specifications
  • Ensures the proper evolution of models & tools, so the design integrity is not skewed in favor of a single-purpose requirement
  • Authors presentations, compiles overall tools showing principles, strategies, and standards applied, to measure the value and quality provided to the organization
  • Advises ways to expand usage of standard tools on projects and other initiative
  • Ensure analytics content availability, accuracy and support business timelines and strategies
8

Experience For Senior Business Intelligence Data Analyst Resume

  • Make recommendations to develop/capture change requirements to analytics systems
  • Provide proactive guidance and advanced training, as appropriate, to other analysts and team-members in descriptive and predictive analytics, data collection, interpretation and analysis of process metrics
  • Actively support and engage with business units by supporting initiatives through subject matter expertise, identifying data sources and integrating new operational metrics as appropriate
  • Effectively communicates technical and statistical findings with fellow team members
  • Support corporate initiatives as assigned
  • Work with our Enterprise Data Management team to develop business process models and documentation for internal and external data sources coming into Hadoop Data Lake and data warehouses
  • Work with Data Governance team to develop, implement and manage data strategies, optimize data quality to improve standardization and business information value derived from enterprise data
9

Experience For Business Intelligence Data Analyst Resume

  • Analyze and evaluate data / information gathered from multiple sources and reconcile / address conflicts or business issues
  • Write SQL to query complex data structures
  • Utilize data wrangling, data matching and ETL techniques to explore variety of data sources, gain data expertise and create datasets to support advanced modeling and Business Intelligence reports
  • Develop and produce KPIs, dashboards and scorecards
  • Identify, analyze, and interpret trends or patterns in complex data sets and develop graphs, reports, and presentations of results
  • Expertise in SQL and/or R, Hadoop, MS Excel, BI Tools
  • Complete custom reporting planning, set-up, and interpretation of customized reports through detailed discussions with client account team members (and clients when needed)
10

Experience For Business Intelligence & Data Analyst Resume

  • Develop or apply data querying techniques and methods to collect, organize and summarize numerical data to provide useable information
  • Introduce innovative solutions and participate in demos of new technology to keep team current on best solutions
  • Coordinates and assists in the development and training of Specialized Reporting Analyst to achieve high functioning collaborative partnership within the department
  • To 4 years experience
  • Defines methodology and analytic approach as required for each specific request

List of Typical Skills For a Business Intelligence Data Analyst Resume

1

Skills For Business Intelligence & Data Analyst Resume

  • Good level of experience in a delivery focused team
  • Good level of experience in a delivery focussed team
  • Experience in Tableau – strong knowledge of best practices for dashboards and visualizations is required
  • Developing automated reporting solutions with the use of tools such as VBA, R Studio etc. Experience with Salesforce is also advantageous
  • Proven capabilities providing database base programming support and troubleshooting to multiple IT projects
  • An excellent track record of data analysis/Management Information reporting work
  • Management Information reporting experience within a Financial Institution; Middle Office, Finance or Front Office
  • Experience developing SQL Server Integration Services
  • Demonstrated a record of developing successful applications that are highly integrated and reliable
2

Skills For Senior Business Intelligence Data Analyst Resume

  • One to two years of enterprise resource planning (ERP) system and AS400 experience
  • Lean Six-Sigma Green Belt or above and/or equivalent experience/training
  • Create visibility of the customer experience journey across our portfolio by identifying gaps and work with a wide range of stakeholders to close data gaps
  • MYSQL Certification or demonstrated knowledge
  • Experience with critical metrics and risk drivers in sales process areas
3

Skills For Business Intelligence Data Analyst Resume

  • Business Intelligence, analytics, statistics, and/or reporting experience
  • Experience with Business Intelligence and Relational Database Management System ( RDMS)
  • Experience with Tableau
  • Experience in OLAP Cubes in SSAS
  • B.S./B.A. with one to two years of experience; OR
  • A.S. with three to four years of experience; OR
  • SAP Customer Master Experience
4

Skills For Business Intelligence & Data Analyst Resume

  • Demonstrated thorough knowledge of finance policies, practices, and systems
  • Developing and maintaining sales financial reporting in a structured manner applying knowledge around financial modelling and budgeting
  • Applying statistical concepts and models to develop sales forecasting capabilities and market/customer segmentation to drive business decisions
  • Owning and driving continuous improvement in the data and analytics capabilities of the business channel
  • Arming the editorial staff with insights around the types of stories and content that resonated with users
  • Follow enterprise architecture to ensure best tools and techniques are being used in managing data within the warehouse
  • Optimize and support data structures to facilitate efficient data analysis by the Marketing Analytics Team
  • Provide data support to the Marketing Analytics team via sql and other analytical tools
5

Skills For Senior Business Intelligence Data Analyst Resume

  • Exposure to the data warehouse schema using Kimball methodology
  • Advanced level of SQL programming for data analysis is required
  • Advanced level of SQL programming for data consumption is required
  • Willingness and ability to learn advanced analytics technologies, including SAS, R, Scala, and Python
  • Establish and maintain positive working relationships with other employees
  • Coordinate with BI management on continuous improvement opportunities and ideas
  • Interacts with Team members, customers and users to provide support and input on potential solutions that add value
  • Provides feedback to BI leadership on user satisfaction and issues with data warehouse environment
6

Skills For Business Intelligence Data Analyst Resume

  • Proven history with Oracle’s E-Business Suite (Financials) R12, Oracle Business Intelligence Applications (OBIA), and Oracle Business Intelligence Enterprise Edition (OBIEE) – 2 or more years
  • Independently applying superior problem solving ability to identify meaningful insights that drive business decisions
  • In-depth knowledge of and ability using MS Office; analytical and business intelligence programs such as OBIEE, business objects, Informatica, Tableau, Matlab, SAS, R, SPSS etc.
  • Good understanding and experience of data management, data reconciliation, data cleansing, data quality
  • Executes and delivers within the confines and timeframes provided by regulatory agencies
  • Write analytical test cases for QA
  • Work beyond standard business hours as required by deadlines and deliverables
7

Skills For Business Intelligence & Data Analyst Resume

  • Deep knowledge of Excel and proficiency in PowerPoint, Word and Visio
  • Highly proficient with SQL and VBA
  • Acquire and maintain a deep knowledge of the business and the data structures which support it through daily querying actions with our data ecosystem as well as interfacing with key business users
  • Database modelling understanding; strong knowledge of SQL
  • Has experience working on Business Intelligence reports and analytics
8

Skills For Senior Business Intelligence Data Analyst Resume

  • Adhere to all Vail Data Governance policies and procedures in enriching and protecting our data assets
  • Coordinate with business Subject Matter Experts to gather, analyze and document requirements; and producing quality assets that inform and educate
  • Take part in the Business Readiness testing of new development within the Vail data environment
  • Use data analysis results to provide ongoing, meaningful reports to clients
  • Troubleshoot and research Mart activities in support of performance, accessibility, integrity, security and quality
9

Skills For Business Intelligence Data Analyst Resume

  • Collaborate with business and IT resources in order to contribute to the maintenance of an enterprise repository of metadata
  • Gather, connect, and analyze data from numerous sources and interpret to provide insight on client trends
  • Perform assigned activities involving decision support systems, query and reporting, online analytical processing, data profiling (OLAP cubes, slice & dice, drilling), statistical analysis, forecasting, and data mining
  • Develop insightful business intelligence reports (KPIs, metrics, adhoc queries), dashboards, scorecards, continuous monitoring (thresholds), and/or ad hoc analyses. Clean and transform data as required to deliver actionable information
  • Assist in troubleshooting data quality issues and work with engineering and implementation to fix bugs
  • Automate the verification process for key business user databases that are required for business decision-making
  • Originate and coordinate data governance/stewardship assignments
  • Use reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for a range of complex data problems (e.g.: input errors or inadequate field edits), and recommend possible solutions and communicate their organizational impact
  • Perform fit-gap analysis comparing existing reporting solutions with BI strategy and assess compliance with best practices and established standards
10

Skills For Business Intelligence & Data Analyst Resume

  • Participate in user acceptance testing of new BI analysis and reporting systems, upgrades, enhancements and change requests; plan, conduct and document results of testing
  • Assist in managing Enterprise customer databases for lines of business users, collaborate with IT to direct the creation & implementation of new databases, data marts, metadata and data hierarchies for data warehouse, and analysis applications
  • Create major business line of business reports using Business Objects and dashboard reporting. Design Business Objects universes to provide underlying data structures to support report creation. Train new business users to use Business Objects to access business databases and build required reports
  • Perform data mining and analysis to address key business issues
  • Is familiar with modern Business Intelligence tools like Tableau; Alteryx; PowerBI or equivalents
  • Works with stakeholders at all levels to formulate requirements and then deliver against those
  • Has a keen interest in Visual Analytics
  • Is Inquisitive by nature and wants to learn more about a wide range of business challenges
  • Build and manage dashboards showing the health of key business metrics across platforms like desktop web, mobile web, mobile apps, connected over-the-top devices

List of Typical Responsibilities For a Business Intelligence Data Analyst Resume

1

Responsibilities For Business Intelligence & Data Analyst Resume

  • Meet deliverables on multiple concurrent projects while effectively communicating with multiple levels of management
  • Experience in recognizing business problems and recommending/developing solutions
  • Conduct BI training courses to upskill new members of the Commercial and marketing teams in adhoc BI reporting
  • Complete projects accepted from a diverse range of personnel, acting as a positive and contributing team player with strong professional commitment
  • Demonstrated working ability to read and write several software programming languages, such as SQL/T-SQL, SAS, R Script, C#, Python, and/or VBA
2

Responsibilities For Senior Business Intelligence Data Analyst Resume

  • Experience of creating reports & Visualisations using Power BI or Domo
  • Demonstrated knowledge of extracting and manipulating large amounts of data
  • Experience working with database tools, application development, or health information standards
  • Experience working in Business Intelligence and Data Analyst related job functions
  • Experience working with SQL Server 2008/2014/2016
  • Demonstrated working knowledge of Statistical Analysis Software, such as SAS and/or R/RStudio
  • Experience with data discovery tools (Tableau, Lumira, SiSense, etc.)
3

Responsibilities For Business Intelligence Data Analyst Resume

  • Proficient hands-on experience using SQL, ETL tools (Informatica or Data Services), and other BI tools such as Business Objects, Tableau
  • Good communicator and comfortable working with senior leadership within the group
  • Strong knowledge and application of data literacy
  • Experience with ERP and/or enterprise-class transactional processing systems
  • Advanced experience with MS Office Suite, CMMS databases, Visio and SharePoint
  • Data Warehouse or equivalent experience
  • Four (4) years of experience with large datasets on Big Data Databases (such as Hadoop/Hive/Impala)
  • Understanding of database design including transactional and data warehouse database designs, and data warehousing concepts
  • Working knowledge of relational databases including Oracle and SQL Server
4

Responsibilities For Business Intelligence & Data Analyst Resume

  • Working knowledge of Navy Federal Project Portfolio Management (PPM) knowledge
  • Communicate and facilitate periodic BI training and eLearning programs
  • Solve problems by interpreting SQL stored procedures that update our databases, and by analyzing the data in our databases
  • Build Reporting solutions for CPD using Microsoft BI application, Power BI & DOMO
  • Leverage analytics and dash boarding tools to provide high level as well as detailed on-demand reporting for senior management and technical staff
5

Responsibilities For Senior Business Intelligence Data Analyst Resume

  • Design and perform data modeling and ad-hoc analysis
  • Create, maintain and update system and customer support training documents
  • Act in a lead professional capacity possessing a high level of knowledge and recognized as an expert/authority in their area
  • Develop a deep and comprehensive understanding of the FS business and associated data
  • Be responsible for Administering system access rights and delegations for core CPD systems
6

Responsibilities For Business Intelligence Data Analyst Resume

  • Work with other members of the technology team to identify dependencies and coordinate deliverables
  • Be the knowledge expert on the data stored in the databases
  • Develop highly efficient stored procedures and database functions
  • Develop scalable, reliable, and automated data import, update and export processes
  • Unit test code, and create and execute approved test plans for modules
  • Investigate, identify root cause, and solve system defects
  • Adhere to project and release timelines
  • Interact with customers/users to support software acceptance process and act as a liaison between development, user community, and external technology team
7

Responsibilities For Business Intelligence & Data Analyst Resume

  • Create and maintain customer master information for the Farm Animal business unit (end consumer and Distribution), in addition to the monitoring and validation of the global customer master reports that cover both Companion and Farm Animal business units
  • Responsible for the quarterly validation of 867 Electronic Data Interchange (EDI) transmitted sales of both the Livestock Core and Home Delivery Companion product lines through our distribution model
  • Responsible for collecting, formatting, uploading and reconciling monthly inventory and dispensing data for the high value Pet Specialty business
  • Frequently interact with multiple departments to achieve the desired reporting results for Sales and Marketing promotions, product category success and incentives for Field Sales personnel, Distributors and End Consumers
  • Experience with reporting platforms (Microstrategy, Domo, OBIEE, Qlik View, etc. – SAP Business Objects ++)
8

Responsibilities For Senior Business Intelligence Data Analyst Resume

  • Form hypothesis and run experiments / analyses to gain empirical insights and validate hypothesis
  • Work with business users & source system experts to understand analytical and reporting expectations, underlying source data and associated business rules
  • Work within an agile environment to understand business expectations and prepare user stories and acceptance criteria
  • Transform business processes and requirements into artifacts consumable by the BI team which includes Data Analysts, Data Architects, Developers, Testers and Support personnel
  • Understand and incorporate prior experience with source systems and subject areas particularly from a data integration, data modelling, data quality and business process perspective
  • Test and validate data warehouse reports and dashboards against source system data
  • Document, present findings and communicate to both technical and non-technical audiences
  • Work with the business, IT and service providers to research and troubleshoot issues, both technical and data related
  • Work with BI team on service and quality improvement programs
9

Responsibilities For Business Intelligence Data Analyst Resume

  • Research, analyze, and evaluate financial and operational proposals and relevant policies, procedures, and regulations
  • Respond to requests by converting data to actionable information through the application of data mining and statistical analyses sufficient to provide forecasts and recommendations to leadership
  • Develop and maintain data systems through ETL leveraging common programming languages, such as SQL/T-SQL, C#, VBA, Python, and/or SAS/R Script
  • Analyze and interpret data to support projects and resolve data issues
  • Analyze existing data warehouse designs to identify potential enhancements, performance improvements, and play a critical role in day to day support of First Student BI
  • Work in multi-functional teams as the representative of the Data & Analytics
  • Deliver analytical insight to several areas of the FS business to answer critical business questions and anticipate opportunities based on analytical, data and business knowledge
  • Fully proficient as a Data Analyst, analyzing source systems, transformation logic and processes leading to the target systems
10

Responsibilities For Business Intelligence & Data Analyst Resume

  • Use analytical problem-solving techniques to resolve issues and questions
  • Responsible for leading data analysis and design tasks in big projects focused in a business unit
  • Card building and card certifications
  • Analyze built cards and help articulate the meaning to 4S management
  • Help in defining tech business requirements related to Domo
  • Oversee 3rd party analytics vendors, including review of built cards and card methodology
  • Analyze built graphs and dashboards and help articulate the meaning to 4S management

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