Big Data Analyst Resume Sample
Sheridan MacGyver
28019 Carter Ferry,
Phoenix,
AZ
+1 (555) 179 0725
Work Experience
Big Data Analyst, Senior
12/2017
-
PRESENT
Detroit, MI
- Smart, quick learning and proactive
- Solid knowledge about data structure and algorithms
- Work independently and in a team to research innovative solutions to challenging business problems
- Develop high-quality structured data sets that address business users’ questions
- Strong technical skill set and harbor a genuine love of working with data
- Flexible thinker, and capable understanding multiple business contexts simultaneously
- Driven by helping others through data, data analysis and visualization
- Passionate about the value of using data to identify trends and make business decisions
Big Data Analyst
10/2014
-
08/2017
Boston, MA
- Efficient, hard-working, and dedicated
- Fast learner and able to operate under conditions of uncertainty with minimal supervision
- Design and implement security solutions to protect organization’s data
- In Information Technology
- At least two years of experience in Big Data technologies
- Proficient in understanding and resolving complex distributed computing technical issues
- Experience in management of Hadoop, EMR and Spark Clusters
- Proficiency with Hadoop and MapReduce, HDFC, EMR and Spark Technologies
Big Data Analyst Innovation
10/2008
-
09/2014
Houston, TX
- Good knowledge of Big Data tools such as Pig, Hive, Oozie, Hue, Sqoop
- Experience on databases, such as HBase, Cassandra, MangoDB, Redshift and MySQL
- Knowledge in various ETL techniques and frameworks, such as Flume
- Experience with Cloudera/MapR/Hortonworks distributions
- Use API’s in order to tap into public data sources (such as Twitter, Yelp, Foursquare, etc)
- Proficiency with Hadoop and MapReduce, HDFS, EMR and Spark Technologies
- Work with various businesses, Tech , Analytic and Risk to understand the impact of various data trace issues around CCAR data
- Responsible for consulting, defining, leading implementation of data management end-to-end solutions
Education
University of Sioux Falls
2002 - 2007
Bachelor's Degree in Computer Science
Professional Skills
- Strong interpersonal and listening skills able to collaborate effectively and professionally at all levels of the organization and build alignment
- Demonstrated experience and/or strong working knowledge of Microsoft Access, Excel, SQL, VB
- Excellent English communication skill, and good problem solving skill
- Excellent communication and presentation skills, highly collaborative
- Serves as a primary point of contact for other engineers and specialists in the team providing expert knowledge and troubleshooting skills
- Experience with Big Data (Hadoop) including experience with Hive, Pig, MapReduce, Hbase
- Strong experience in using Eclipse, Maven, Jenkins, GIT, JIRA, HP AML, Control M or equivalent tools
How to write Big Data Analyst Resume
Big Data Analyst role is responsible for software, languages, analytical, finance, retail, training, integration, database, auditing, security.
To write great resume for big data analyst job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Big Data Analyst Resume
The section contact information is important in your big 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
- Telephone number
Work Experience in Your Big Data Analyst Resume
The section work experience is an essential part of your big 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 big 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 big data analyst position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Big Data Analyst resume experience can include:
- Excellent interpersonal skills are required given the high level of interaction with senior members
- Strong Communication skills/Stakeholder Engagement
- Demonstrated experience with Microsoft SQL
- Solid knowledge of machine learning and statistic techniques including regression, clustering, supervised machine learning, group comparison, trend analysis
- Experience cleaning, managing, merging, and analyzing data in R
- Experience with improving business processes using big data technologies and predictive modeling
Education on a Big Data Analyst Resume
Make sure to make education a priority on your big 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 big 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 Big Data Analyst Resume
When listing skills on your big 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 big data analyst skills:
- At least a year proven experience completing projects in with a set of various data sources
- Familiar with Oracle/DB2 and good experience in data warehouse modeling and implementation
- +1 year proven experience completing projects in with a set of various data sources
- Very good work experience with SQL scripting
- Proven project management experience leading projects/initiatives
- At least five (5) years of prior experience in information technology data analysis with an emphasis on computer, or information science or applied mathematics
List of Typical Experience For a Big Data Analyst Resume
1
Experience For Big Data Analyst, Senior Resume
- Experience in common business intelligence and data modeling tools
- Implement system data controls, investigate the root causes of problems, track and follow up on issues, and demonstrate overall high pro-activity
- Strong SQL database knowledge
- Experience from Big Data projects
- Relational and No SQL database experience
- Maintain the Product Backlog, User Stories & feature prioritization list
- Experience with large-scale, big data methods, such as Hadoop, Spark, Hive, Impala, or Storm
2
Experience For HPS Supplies Forecaster / Big Data Analyst Resume
- Visualization experience with Tableau or Power BI
- Experience in BA role related to analytics/Big data field
- AWS Skill set - EMR, Cloudwatch, Lambda, Kinesis, Kinesis firehose, API gateway, Gilue
- Good knowledge of Big Data tools such as Hive, Oozie, Hue, Sqoop
- Experience on databases, such as Redshift and MySQL
- Pioneer partnership with external parties to include knowledge transfer, upskillier and joint project opportunities
- Experience with one or more notebook technologies
3
Experience For Senior Big Data Analyst Resume
- Data Analysis and/or development experience in a data warehousing and analytical reporting environment
- Experience with Visualization and analysis tools: like Tableau, QlikView, Tibco Spotfire, or equivalent
- Communicating data insights and outcomes to business intelligence and executive teams
- Understanding of Web Services, APIs, and Application Integration points
- Acting as liaison between technical team and Business team
- Running entire Big Data on AWS environments
- Performing QA on the products delivered by the Production Team
4
Experience For Big Data Analyst Innovation Resume
- Documenting of new processes
- Working closely with the business and technology leaders and managers to understand the organization’s data structures and content
- Proficient in developing and executing test scenarios including regression testing
- Work on collecting, storing, processing, and analyzing data from a variety of formats
- Work collaboratively in a Agile environment with team members and Scrum Master, sharing ideas to solve complex and challenging business problems
- Perform profiling, analysis, and mapping of logical and physical attributes
- Develop and implement creative use cases for our data and the latest BI technologies including IOT, Big Data, Machine Learning, and AI
- Perform data analysis using machine learning and other statistical analysis techniques
- Continual Learning: A passion for learning new technologies as needed
5
Experience For Big Data Analyst / Developer Resume
- Assist in related user training and knowledge sharing documentation
- Exploratory data analysis and feature engineering for Machine Learning use-cases
- Use statistical methods to solve analytic problems using descriptive statistics, linear regression, logistic regression, and multi-level modeling
- Advanced analytical thinking and data understanding
- Working as a Data Analyst
- Expand graph visualization using R-Shiny, VisNetwork, vis.js, and JavaScript
6
Experience For Principal Big Data Analyst Resume
- Identify data engineering and data services requirements, maintain security policies, document metadata, and confirm data governance policies
- Perform functional testing, evaluate metrics and insights, and measure performance levels
- Data modeling with SAP BW on HANA with HANA Studio and HANA Views
- Present findings to prospective customers in a compelling manner
- Participate in agile based projects with an objective of ensuring the change meets the team’s goals for quality, reliability, and supportability
- Champion and embed the delivery methods which are being adopted by the Bank
- Understand Business requirements and translate those into Data mapping requirement documents
7
Experience For Big Data Analyst / Technician Resume
- Creative and analytical thinking – knowledge of how to ask and answer questions with data
- Studied Statistics, Physics, Maths, Engineering, Econometrics, Macroeconomics or any other relevant field
- Proficiency in one or more general purpose programming languages (SQL, Hadoop, Hive, HDFS and Spark)
- Data Analytics using R
- Team player with interest in continuing education
- Proficiency in one or more general purpose programming languages, JSON, XML, XSD and JAXB
- Knowledge of software development support tools, including JIRA
- Facilitate the build out of an Analytics platform to capture Electronic trading flow (DMA and Algo)
- Document in Confluence, analyze and assess current business processes and underlying systems/applications
8
Experience For Business Intelligence & Big Data Analyst & Developer Resume
- Support for big data processing and analysis
- A passion for creating easily interpreted visualizations for study reports, presentations, and manuscripts
- Knowledge in R, Python or other scripting for data manipulation
- Build an inventory repository of the vast data products, leveraging a technical approach solution and a level of manual analysis and documentation
- Create innovate and “outside-the-box” approaches to answering research questions
- Perform research to achieve data issues resolution
- Perform well under pressure and meet strict deadlines
9
Experience For Manager, Big Data Analyst for Global Insights Resume
- Engages with project stakeholders to understand the business question. Helps bring structure to each request and translates requirements into an analytical approach
- Gathers data across channels when applicable to ensure a complete understanding of client behavior and potential opportunities
- Seeks to maximize automation
- Scrum & Agile methodology
- Worked with structured, unstructured and semi-structured data
- Build out new User Interface with clickable objects/visual representation
- R-Shiny, VisNetwork, and/or vis.js
- Analyze prepare and deliver key data artifacts such as data model, interface control documents, and data flow diagram
10
Experience For Big Data Analyst Resume
- Data analysis in application development environment
- Proficient in data discovery and visualization tools
- Coordinate with a variety of Business and IT departments to facilitate the integration of Single View of Customer into business processes and applications
- Elicit and translate high level business requirements into detailed system requirements
- Work independently with limited supervision as well as contribute to team efforts
- Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations
- Identify data engineering and data services requirements
List of Typical Skills For a Big Data Analyst Resume
1
Skills For Big Data Analyst, Senior Resume
- Excellent written, interpersonal, leadership, presentation, and collaborative skills to work effectively with teams throughout organization
- Programming and analysis experience with Scripting Languages (Python, Perl, JSON etc.)
- Strong programming knowledge using a high-level programming language
- Experience with streaming data / Complex Events Processing (CEP) Tools: like Apache Spark Streaming
- Mine and analyse large datasets, draw valid inferences and present them successfully to stakeholders using reporting tools
- Experience in programming – ideally with Java, C, Perl, Python, Shell programming
- 5+ years of working experience in either Java/J2EE, data mining or big data areas
- Good understanding on the key algorithms of Time Series, Association Analysis, Classification/Clustering and Spatial statistics
2
Skills For HPS Supplies Forecaster / Big Data Analyst Resume
- Experience with consuming and developing REST API, JSON, XML, and/or JavaScript
- Experience working with R, Python or any other Scripting Language(s)
- Experience developing ETL and DDL scripts
- Data analysis and reporting experience
- Experience working in technical support area
- Identify, evaluate and implement external services and tools to support data validation and cleansing
- Experience in working with abroad teams/counterparts
- Experience using Apache Spark from R to work with Big Data
- Experience formulating data query and data analysis pipelines to meet a specific target
3
Skills For Senior Big Data Analyst Resume
- Good understanding of Big Data technologies or similar topics
- Experience with delivering IT solutions in a team environment
- Experience with working on Scrum or other Agile development-based methodologies
- Experience with data visualization tools, including Tableau
- Experience working with Big Data Architectures as Hadoop, Hive, Spark, etc
4
Skills For Big Data Analyst Innovation Resume
- Experience in either web/ travel industry or strategy/ data consulting is required
- Business partner IT team globally & lead local continued efforts on improving user experience on the PPM system together with IT team
- Consolidate & Business partner CCD & Account Directors monthly on all pre-evaluations including sign off
- Strong understanding required on FMCG environment & or Retail market in South Africa
- Good understanding of market research and data quality principles
- Good Understanding of internet technologies and big data concepts
5
Skills For Big Data Analyst / Developer Resume
- Experience in C#, Java, SQL (T-SQL or U-SQL),Python and/or R
- Experience with Hadoop (Hive, Map Reduce)
- Big data programming experience such as Python, Hive
- Experience or knowledge of computer system engineer software and tools
- Experience with Azure Data Factory, Data Lake Store, Data Lake Analytics, SQL Data Warehouse, Analysis Services
- Experience and understanding of SAS, R, Python and Machine Learning
6
Skills For Principal Big Data Analyst Resume
- Have at least 3 years of coding and programming experience such as SAS
- Business level proficiency in both Japanese and English language skill required
- Related work experience in a quantitative field
- Experience with databases and their manipulation (SQL, Oracle, etc.)
- Demonstrated entrepreneurial spirit with an abundance of enthusiasm
- Self-motivated, highly organized and ability to manage multiple priorities
- One (1) year of experience with Informatica Software
- Experience in Big Data Tools such as R, Python and Hadoop/ Hive/ Impala
- Experience in Hadoop platform (Hive, HDFS and Spark)
7
Skills For Big Data Analyst / Technician Resume
- Experience with database management and complex data structures and linkages between data sources
- First professional experience beneficial
- Excellent English verbal and written communication ability
- Strive to provide high-quality Big Data solutions for excellent customer satisfaction
- Experience with full development lifecycle from inception through implementation
8
Skills For Business Intelligence & Big Data Analyst & Developer Resume
- Experience with Hadoop ecosystem technology stacks as HDFS, HBase, Hive, Pig, Spark, MapReduce, Cloudera etc
- Experience with software development throughout the software development life cycle (SDLC)
- Experience at least one non-relational databases, such as Cloudant, MongoDb, HBase, Cassandra
- Good SPSS and advanced Excel knowledge
- Experience in data analysis for modeling in a Big data environment
- Experience in writing SQL for database management tools
9
Skills For Manager, Big Data Analyst for Global Insights Resume
- Experience working in agile software development life cycle
- Experience in documenting business process flows, sequence diagrams, system interaction charts, business and system requirements, processes, and test plans
- Experience developing BI solutions within the Microsoft BI Stack (MS SQL Server/SSIS/SSAS/SSRS)
- Aggregating, analyzing, automating, and visualizing the reporting of business data on a regular basis
- Aggregating, analyzing, and automating the reporting of business data on a regular basis
10
Skills For Big Data Analyst Resume
- Understanding of cloud and distributed systems principles, including load balancing, networks, scaling, and in-memory vs. disk
- Working on a cross-functional team of data engineers, web developers and business unit owners to automate key reporting and auditing needs
- Enjoying being challenged and to solve complex data proposals on a daily basis
- Working knowledge of at least a few of the common frameworks like Spring, Apache, Hibernate or similar ORM tools
- Tackling complex business problems by converting raw complex data sets into meaningful and actionable business ideas through statistical analysis
- Influencing category specific promotional investment choices via robust analytics and spend patterns into CCBT’s & CDLT
- Understanding of internet technologies and big data concepts
- Communicating data insights and outcomes to business intelligence and management teams
List of Typical Responsibilities For a Big Data Analyst Resume
1
Responsibilities For Big Data Analyst, Senior Resume
- Experience in Big Data technologies
- Working closely with data science teams to identify relationships and trends in data
- Preparing different data quality reports – regularly and on demand
- Support user acceptance of new products – technical testing of the processes, sanity testing of the results
- End-user testing and debugging of new software components in close collaboration with the development teams and the data engineers in the Hub
- Exposure to Banking and Finance domains, as well as technology within banking/finance
- Exercises latitude in determining technical objectives of assignments for self and teams
- Frequently responsible to lead collaboration with organizations outside engineering or with external customers and vendors/suppliers
- Deep understanding of descriptive, predictive, and prescriptive analytics
2
Responsibilities For HPS Supplies Forecaster / Big Data Analyst Resume
- Sanity testing of the results produced by the new software components
- Handover of the new processes to the Production Team and subsequent training
- Regular monitoring of data quality KPIs
- Data Profiling of newly on-boarded source systems
- R packages including R server and igraph
3
Responsibilities For Senior Big Data Analyst Resume
- Python for natural language processing
- Serves as internal consultant to other developers and engineers as needed, providing assistance in all phases of product life-cycle development
- Produce and track key performance indicators and reporting processes
- Design and Implement ELT/ETL processes to enrich our growing cloud-based data lake and data warehouses
- Be hands-on with data analysis and deep-dive data mining
- Customer consulting; use case discussions and teamwork with customers
- Development of operating and support concepts
- Maintain security policies, document metadata, and confirm data governance policies
4
Responsibilities For Big Data Analyst Innovation Resume
- Design, develop, maintain and improve data warehouse & analytics architecture to meet business analysis and reporting needs, where scale and reliability of a modern distributed system are at heart
- Responsible for Descriptive, Predictive and Prescriptive analytics to solve the business problem
- Coordinate and review complex analytics within internal business units to ensure timely completion and analytical interpretation
- To lead Analytics team and work with end clients to propose right solution
- Articulate technical concepts, findings, or issues in simple terms
- Build repeatable demonstrations and train other resources on their use
5
Responsibilities For Big Data Analyst / Developer Resume
- Interact with the sales team to provide “best-practice” for use of data science
- Product Expertise: Conduct technical Q&A sessions and demonstrations around Pentaho product features, installation, configuration, and best practices
- Lead Evaluations: Design and scope focused evaluation plans that uniquely position Pentaho, are tied to prospect requirements, and prove out business value
- Key deliverables include the creation of a steady state support plan, performing test cases, creating appropriate documentation, ensuring proper monitoring, coordinating code promotion and validation, and the facilitation of team cross training sessions
- Proficient with Hadoop and MapReduce, HDFS, EMR and Spark Technologies
6
Responsibilities For Principal Big Data Analyst Resume
- Data analysis support to standardized and ad-hoc requests from internal clients (sales and research)
- Design and run different SQL data query scripts on an online big data platform
- Work offline with the extracted data with tools like SPSS and Excel
- Support PowerPoint slides preparation for different standardized market research products
- Support the quality assurance of different standardized market research products
7
Responsibilities For Big Data Analyst / Technician Resume
- Coordinate with product, sales and research teams from multiple GfK offices
- Consult the internal clients on the produced data or products
- Collaborate with different parties in a global organization
- Performs software requirements analysis, system integration activities, leads research, designs, develops and tests software and tools, to include development of new work products or enhancing existing applications, systems or embedded products
- Performs technical planning, verification and validation of others work, cost and risk analysis, and supportability and effectiveness analyses for total systems
8
Responsibilities For Business Intelligence & Big Data Analyst & Developer Resume
- Applies principles and techniques of computer science, engineering, and mathematical analysis to the development of complex solutions
- Applies and champions the appropriate standards, processes, procedures, and tools throughout the system development life cycle to support the generation of technical engineering products
- Participates as a Subject Matter Expert in internal review of software components and systems
- Receives no appreciable instruction on day-to-day work
- Responsible for resolution of significant and diverse range of complex problems and issues of broad scope and complexity which require the use of ingenuity and creativity
- Frequently responsible to lead collaboration activities with senior management and leadership within the company
- Networks with key contacts outside own area of expertise as well as with senior internal and external personnel
- Review data loaded into the data warehouse for accuracy
9
Responsibilities For Manager, Big Data Analyst for Global Insights Resume
- Working in a collaborative team environment, there is a standard set for mutual sharing and support both from your managers but also from other analysts in the team and the wider analytics community at Hotels.com
- Able to provide insights into the business from the analyst work
- Multiple Information Technology certifications
- Proficient in SQL, Excel, SAS and SPSS (essential)
- Experience in supporting, managing and analyzing major research projects using large administrative data sets such as Medicare, Medicaid, and commercial insurance claims
- Additional expertise in survival analysis, mixed models with repeated measures, conjoint analysis, multi-criteria decision analysis and/or structural equation modeling
10
Responsibilities For Big Data Analyst Resume
- An understanding of medical procedure codes
- Independently develop instruments and related analytic plans
- Investigate and make final recommendations on new tools and techniques; collaborates on hardware/software evaluations
- Tracking key metrics and trends of all business intelligence-related data for our all sites and channels, such as the number of traffic, sales, cost, revenue, airlines, season by creating insightful real-time dashboards
- Creating an in-depth understanding of data and data domain relationships that drive the business and standardizing data naming, data definitions, data modeling and data dictionary items
- Deal with unstructured data and be curious about the data – ask good questions
- Support the quality assurance of all products – close collaboration with the data production team
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