Big Data Analyst Job Description
Big data analyst
provides development and support for solutions that supports Big Data analytics (Python, Java, Spark, Hadoop Technologies) and Data Warehouse technologies (Oracle, Informatica).
Big Data Analyst Duties & Responsibilities
To write an effective big data analyst job description, begin by listing detailed duties, responsibilities and expectations. We have included big data analyst job description templates that you can modify and use.
Sample responsibilities for this position include:
Possess developed skills and knowledge with focus on Big Data topic deliver original analysis and insights
Act as point of contact for all application service interruptions
Drives to implementation and adoption of Real-time streams of data
Provide data driven decision support to the Hotels.com Leadership Team regional marketing teams
Collaborate with other functions, , Finance, Product and other Analytics teams to drive impactful business outcomes
Utilize statistical, mathematical, predictive modeling business strategy skills to build the algorithms necessary to ask the right questions and find the right answers
Support the internal development team technology Proofs of Concept by creating all project documentation
Implement design and development phases innovative big data solutions to solve business problems across multiple client engagements
Coordinate on-shore/off-shore teams
Articulate the advantages or disadvantages of various big data technologies across a variety of client use cases
Big Data Analyst Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Big Data Analyst
List any licenses or certifications required by the position: PMP, API, ISEB, BCS, ITIL, SNS, SQS, S3
Education for Big Data Analyst
Typically a job would require a certain level of education.
Employers hiring for the big data analyst job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Engineering, Mathematics, Education, Statistics, Technical, Information Technology, Business, Science, Information Systems
Skills for Big Data Analyst
Desired skills for big data analyst include:
SQL
Agile/Scrum Methodologies
Hadoop
SELC and associated documentation
SQL and database preferably Oracle
MapReduce
Computer architectures
Databases and Data Analytics / Data Warehouse
Network technologies
Operation of Java Services
Desired experience for big data analyst includes:
Strong Analytical & Quantitative skills – You have exceptional ability to analyze numbers
Work with the project manager, product manager, and/or project sponsor to document the product’s vision and the project’s scope
Identify project stakeholders and user classes
Decompose high-level business and user requirements into functional requirements and quality, specified in an appropriate level of detail suitable for use by those who must base their work on the requirements
Participate in peer reviews of work products derived from requirements specifications to ensure that the requirements were interpreted correctly
Enter, manipulate, and report on requirements stored in a commercial requirements management tool
Big Data Analyst Examples
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Big Data Analyst Job Description
Job Description Example
Our company is hiring for a big data analyst. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for big data analyst
- Work with business leaders across eCommerce to understand decision support needs
- Independently plan, propose and implement one-off and proof of concept decision support systems
- Collaborate with the Big Data development teams to plan and move prototypes to more advanced stages, up to and including production
- Deliver results to business users via project plans, progress reports, formal reports, and presentations
- Prepare and maintain documentation for all projects through tickets and technical manuals
- Participate in code and workflow maintenance as needed
- Collaborate with business users, other engineers and data scientists to translate in-depth analyses into meaningful and actionable insights that match business priorities
- Perform exploratory data analysis and data preparation for developing predictive models
- Analyze and extract information from data of different modalities (documents, images, records, ,) and data of different scales
- Evaluate and improve performance of predictive models
Qualifications for big data analyst
- Experience with social media monitoring and web analytics is a strong plus
- Proven ability to work independently, in a team setting
- Strong verbal, written, presentation & communication skills, ability to use strong communication skills to communicate complex issues in easily understandable terms
- Statistical analysis skills highly desirable
- High energy, clear goal orientation and strong work ethic
- Experience in data mining, statistical modelling and business analysis with at least a Bachelors in an analytical discipline (such as Science, Engineering, or Social Science) required
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Big Data Analyst Job Description
Job Description Example
Our growing company is hiring for a big data analyst. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for big data analyst
- Work on enhancements, production maintenance and assist with Hadoop migrations for current traditional data management implementations
- Act as a Big Data consultant, developing Hadoop proposals for senior management reviews
- Communicate findings from complex analysis and modeling in a clear and effective manner
- Work with Network Big Data CoE team members, Network Engineering, Operations other Businesses to understand and analyze business needs and design and develop data solutions by exploring data sources, analytics approaches to be used, mining, forecasting, visualization, and execute to address the business needs
- Consulting with faculty, vendors and IT staff to design and specify research computing systems and storage used in data intensive research
- Installing, maintaining and administering research computing big data, database, and storage systems
- Applying and developing best practices for installation, configuration, and operation of data intensive research computing systems
- Analyzing and troubleshooting complex system level problems with software, data, and job submissions
- Providing instruction and conducting workshops on data intensive research computing related topics as needed
- Working with faculty to develop a training curriculum and user-friendly interfaces for conducting data intensive research
Qualifications for big data analyst
- Proficient in MS Suite Products (Visio, MS Project, Word, PowerPoint)
- MS in a quantitative field, or an equivalent combination of education and experience
- At least 3 semesters of advanced or applied mathematics, preferably in statistics
- Project management or agile methodology coursework
- 3 y experience independently identifying, developing and implementing technical solutions for business problems
- 3 y experience in a Project Management, Product Owner, scrum master, or consulting role
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Big Data Analyst Job Description
Job Description Example
Our growing company is looking for a big data analyst. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for big data analyst
- Providing multi-level support for the large user base of the data intensive computing resources
- Installing, maintaining, and supporting data intensive software and schedulers on these systems
- Monitoring system and network health and performance
- Administering both local and global storage available to our HPC systems
- Managing and maintaining vendor relationships
- Advising faculty and researchers on data intensive research and big data issues
- Keeping abreast of emerging technologies
- Using scripting and programming tools and performs basic debugging
- Developing and maintaining documentation related to data intensive research systems and storage
- Providing off-hours on-call support for HPC systems on a rotating basis
Qualifications for big data analyst
- Advanced skills with at least one scripting language (e
- Capable user of common statistical analysis methods
- Proficient with Google Analytics, microstrategy, crystal reports or another BI suite
- Proficient with VCS and JIRA
- Proficient with at least one ERP
- Proficient with Microsoft Word, Excel, Powerpoint, and Google Docs, Sheets, and Slides
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Big Data Analyst Job Description
Job Description Example
Our growing company is looking to fill the role of big data analyst. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for big data analyst
- Must have professional work experience as a Business / Data Analyst
- Four or more years of relevant business and/or general analysis experience
- Advanced knowledge of Microsoft Office tools to include Word, Excel, and Access
- Basic knowledge of statistics or other quantitative techniques or disciplines
- Big data analyst should have a broad understanding and have experience with real-time analytics, business intelligent platforms, applications for investment management
- Ability to understand the meaning and use of the data, analyze the data quality
- Should be able to work with databases and several programming languages and statistical software packages such as C++, Java, Linux
- Identify and implement solutions to optimize performance and maintain low latency
- Work with Quants and Client services within multiple desks (Fixed Income, Equities and Futures) to understand their requirement and formulate solutions
- Experience writing boolean queries in social listening tools, including Brandwatch, Synthesio, Crimson Hexagon, Netbase, Pulsar, Radian6, or Sysomos
Qualifications for big data analyst
- Experience using statistics to analyze both traditional and ecommerce business metrics
- Proficient with Linux, OS X, and Windows
- Comfortable working with a command line interface
- A minimum of 2 y in a data visualization role
- Experience working with both traditional and ecommerce business metrics
- Demonstrated data-wrangling abilities, and a proven talent for validating a data set
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Big Data Analyst Job Description
Job Description Example
Our company is growing rapidly and is hiring for a big data analyst. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for big data analyst
- Script writing/coding in any of the following
- Experience of statistical analysis and modelling
- High level of numeracy, technical literacy, and a highly driven and inquisitive nature
- You must have a desire to make an impact with your work
- Design/Develop Olap modules(Cubes)
- Experience with Teradata and its tools
- Working knowledge in Kafka/Storm data pipelines
- Development experience in Java/Python/ Ruby or Scala
- Build and refine statistical forecasts and models of critical talent phenomena, such as performance, learning, development, engagement, talent/skill scarcity, turnover patterns, and other talent behaviors
- Develop solution details, such as end state descriptions, use cases, process maps, specific data requirements, data sourcing plans to embed decision making models into comprehensive talent solutions
Qualifications for big data analyst
- Clear planning and prioritizing skills
- Advanced skills with Tableau, Qlikview/sense or a similar BI suite
- Proficient with microstrategy, crystal reports or another BI suite
- Introductory statistics knowledge
- Skilled user of Google Analytics or another web analytics suite
- Must be comfortable with uncertainty