3. IT/Operations Manager Job Description
The IT/Operations Manager is a valuable addition to your team and will primarily be responsible for deploying, managing, and monitoring your big data systems. You’ll rely on this team member to plan and implement new equipment and services. He or she will work with business associates to understand the best technology investments to address their processes and concerns—translating business requirements to technology plans. They’ll also work with project managers to implement new technology and be responsible for a successful transition to operations.
The IT/Operations Manager is an integral part of the big data team. He or she will ensure that production IT systems and services continually meet business needs in a reliable and efficient manner. This role requires strong leadership and technical skills around incident and problem management, automation and monitoring, system integration and IT operations. The IT/Operations Manager will assess and analyze complex data problems and build solutions that meet objectives while working closely with key clients and team members.
- Manage and be proactive in reporting, resolving and escalating issues where required
- Lead and co-ordinate problem management activities, in addition to continuous process improvement initiatives
- Proactively manage our IT infrastructure
- Supervise and manage IT staffing, including recruitment, supervision, scheduling, development and evaluation
- Verify existing business tools and processes remain optimally functional and value added
- Benchmark, analyze, report on and make recommendations for the improvement and growth of the IT infrastructure and IT systems
- Develop and maintain a corporate SLA structure
- 8+ years of experience in Operations or Support leadership role (e.g. Team Lead, Manager, etc.)
- Strong working knowledge of physical IT infrastuctures (e.g. Servers, SANs, Networking, etc.)
- Basic knowledge of CR infrastructures (e.g. UPS, Generator, AHU, etc.)
- Exposure to monitoring products such as Solarwinds, NewRelic, Splunk and Omegamon
- Proficiency in systems administration, telecommunications, monitoring and backups
- Strong project management skills
- Strong interpersonal skills and a customer service-oriented mindset
4. Business Analyst Job Description
This role is essential to success for your big data journey. The Business analyst is the link between a company’s data program and its business objectives. Business analysts help businesses extract value from their big data systems in a cost-effective way by determining the requirements of a project or program, and communicating them to stakeholders and partners. Business analysts are particularly important to your venture due to their intimate industry and company knowledge. This allows them to analyze business-level data with a critical eye for perceiving actionable insights that will add value to your organization.
The Business Analyst will work with stakeholders from all business units and related third parties to define and document business processes and software requirements for various initiatives. The Business Analyst evaluates and validates new and existing functions, identifies and analyzes end-user issues and provides support through standardized processes, tools, workflow analysis and testing to ensure end-user requirements are fulfilled.
- Identify business trends utilizing real data, compile analysis reports that are delivered to developers and then follow-up on all results
- Interact with the business to identify, capture and analyze business requirements
- Identify areas of process improvement
- Develop functional specifications in a team environment, as well as derive use cases where appropriate
- Perform data analysis including data mapping, report analysis, interface definitions
- Develop a test plan including functional QA, integration testing, string testing, ICAT, ECAT, etc.
- 5+ years of associated work experience
- Advanced SQL database management and maintenance skills
- Detailed analytical abilities
- Written and verbal communication, preferably with technical writing skills
- Strong experience in user testing and project management
5. Data Scientist Job Description
The data scientist will be a consumer of your system. These individuals help create machine learning models that your team will then deploy into the system to get to the business operations. The data scientist’s understanding of statistical analysis principles will allow them to pull information from your data that will help answer important business questions and lead to valuable insights. Keep in mind, however: having these users up and running should not come before having infrastructure to support your company’s data.
Our leading data management and integration organization is currently in need of a Data Scientist to join our fast-growing team. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops analysis tools, which will influence both our products and clients.
- Initiate and participate in projects in the area of prediction, optimization, and processes using advanced statistical / mathematical approaches, in the enterprise environment
- Implement most recent algorithms and approaches for machine learning in collaboration with our researchers
- Design best architecture and select the most appropriate modeling techniques and data visualization for big data analysis
- Iteratively test, refine and improve the models
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Optimize joint development efforts through appropriate database use and project design
- Learn quickly new mathematical or technical methods
- Ph.D. or MS in Computer Science, Electrical Engineering, Statistics, Applied Math or related quantitative topics
- Able to understand various data structures and common methods in data transformation
- Experience in statistical modeling, machine learning, or data mining practice
- Experience in SQL, relational databases, database concepts, dimensional modeling and database design
- Strong analytical and quantitative problem solving ability
- Excellent communication, relationship skills and a strong team player
Building your all-star big data and analytics team won’t be the first or last step in your big data journey. If you’ve gone about the process correctly, then your journey began with understanding the business initiatives that drive the need for a comprehensive approach to big data strategy in today’s increasingly data-centric marketplace.
But since data-driven technology is constantly evolving, don’t forget that your strategy for extracting value from the big data machine will also need to adapt to keep pace. It’s perfectly acceptable to grow your team to accommodate changes in the big data and analytics landscape, but be mindful that you aren’t simply increasing body count without a clear plan of how this will add to your bottom line. A good rule of thumb is to consider team expansion once you begin to see team members routinely performing tasks outside of their initial function that need to become dedicated specialist roles.
And, while it’s tempting to embark on a never-ending search for the unicorn candidate whose experience reads like a laundry list of all the most bleeding-edge big data technology – understand the importance of hiring to fill gaps for the capabilities that you need as opposed to attempting to fulfill an overly ambitious wish list. As with most hiring initiatives, the end goal should have efficiency in mind. Don’t be afraid to invest in the people that will meet your business needs and provide the greatest returns, without overextending their usefulness.