Why work at Greanalyze

If you have skills and experience in business analysis, front end and back end software development, network and software security, machine learning and artificial intelligence, UX or UI design, data science and big data, then we want to hear from you.

If you are searching for a challenging and rewarding career in a fast paced and high growth startup environment, but delivering into multinational enterprise customers, then reach out to us.

If you want to work on leading edge technologies, and together with some of the brightest minds in the industry solve the biggest data problems, then we have the job for you.

Current Openings
  • Business Analysts
  • Software Engineer
  • ML/AI Engineer
  • UI/UX Designer
  • Data Scientist
  • Data Analyst
  • Technical Architect
  • Project Manager
  • Sales Executive
  • Network Engineer
  • Software Tester
Job Descriptions
Overview
The primary responsibilities of the Business Analyst will be working with stakeholders to write requirement documentation, design documentation, assisting the development team during the development phase and ensure that the solution delivered matches with requirements. The successful applicant will be able to quickly understand the business strategy and objectives and act as a link between the business stakeholders, and implementation team or 3rd party vendors. It will be necessary to successfully handle multiple tasks, projects and priorities in a fast-paced environment.
Requirements

Define and document business processes and solution requirements through collaborative stakeholder engagement. This includes working with the business and implementation team to deliver solutions with a smooth transition through to the production environment.

Driving the project execution according to the defined requirements.

Produce functional and non-functional requirements and end user product documentation.

Interpreting business requirements and translating these into viable solutions with tangible business benefits.

Support development and testing during the build and test phases.

Write test scripts and carry out user acceptance testing, on-going management and maintenance of business systems including end user support.

Identify new opportunities for technology.

Analyse and document existing business processes with a view of streamlining and introducing efficiencies via structured change management and software enhancement.

Assist in the information and requirements gathering process, reconciling conflicts, de-composing high-level information into detail, abstracting up from low-level information to a general understanding. Distinguishing user requests from underlying true business needs;

Draft, finalise and support the sign off of functional specifications. Facilitate workshops to support the functional specification process.

Drive and challenge business units on their assumptions of how they will successfully execute their plans.

Advising on potential improvements to business processes.

Development of use cases and functional requirements documentation where new software solutions are to be developed.

Collaborating with developers and subject matter experts to establish the technical vision for the project.

Data Analysis, Data Mapping and Data Migration.

Support change control and change management processes.

Advising on trade-offs between requirement value and development effort.

Person

Experience of 5+ years working as a business analyst.

Experience with delivering technical solutions relating to big data.

Demonstrated ability to work in a changing and challenging environment with a record of producing high quality business analysis documentation.

Knowledge of all phases of the development lifecycle.

Motivated self-starter who can work in a team environment.

3rd level Qualification (preferably IT related).

Excellent communication, listening and writing skills in English.

Excellent stakeholder management skills.

Be able to plan and track activities/tasks.

Ability to work to complete work to schedule and to multi-task.

Experience of implementation and rollout to critical systems.

Ability to clearly communicate ideas to both technical stakeholders and business end users.

Job Descriptions
Overview
Join Greanlyze and you will translate the operational needs of the world's governments and leading businesses into innovative technical solutions that will enable them to better serve their customers - your friends, family and neighbours. You'll deliver everything from point solutions for a single business function to large, long-term outsourcing services, to complex systems integration installations spanning multiple businesses and functions. You will be responsible to create custom-designed solutions or integrate our technology platforms with their operations.
Requirements

Plan, review and perform analysis, design, coding and implementation of simple to complex software systems.

Drive an agile development approach to produce high-quality solutions on time.

Will be responsible for development, maintenance and support of multiple distributed applications.

Analyzing existing designs and interfaces and create design extensions or enhancements.

You are required to develop and maintain .NET applications (both Deskop and Web). In addition to that, you will also be maintaining SQL DATABASE.

Person

Degree in Computer Science or related discipline.

3+ years of experience as a .NET Developer with Strong analytical and programming skills.

Experience in MVC, ASP.Net, C#, Web API, Jquery, Java Scripting, Angular JS, DB: SQL Server, AWS.

Experience of full data modelling and analytics tools and techniques.

Complete problem solving abilities and good communication skills.

Job Descriptions
Overview
Machine Learning and Artificial Intelligence is at the heart of what we do at Greanalyze. You will be developing data-intensive analytic processing and a new approach to generating meaning and value from large scale data sets and shape brand new methodologies, tools, statistical methods and models.
Requirements

Build Data Pipelines and platform to operationalize Machine Learning models at scale.

Work with data science team to enable robust decision-making in terms of thinking about scale, latency, throughput requirements. Create tools/systems to speed-up ML lifecycle.

Play a significant role in enabling adoption of sophisticated algorithms and data mining strategies.

Generates new practices and processes for effective ML engineering, in alignment with core subject-matter expertise.

Define best practices for code optimization, model and system validation, and model governance.

Person

Experience of Data Science Platforms like Domino Data Lab, Microsoft Azure, AWS and Google Cloud (working environment to build and deploy models).

Deep knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field

Primary experience with OO languages such as C# or Java and familiar with data science tools, frameworks and data engineering tools such as Python, Spark, Tensorflow, Keras, XGBoost, etc.

Software engineering experience particularly related to productionizing ML models.

Proficient in Data Mining, Data transformation and Database building ( ETL, SQL OLAP, Teradata, Hadoop )

Knowledge of cloud-native computing DevOps, data streaming and extraction, parallelized workloads using Docker, Kubernetes, Test Driven Development and Continuous Integration / Continuous Deployment

8+ years of related experience in a professional role with a Bachelor's degree; or 6+ years with a Master's degree; or 3+ years with a PhD; or equivalent experience

Job Descriptions
Overview
Greanalyze solves what no one else can. We offer proven, modern and integrated technology that brings together availability, protection and insights. We are looking for Creative Graphic Designer with a passion to design solutions with high visual impact. We are looking for talented and innovative UI/UX Designer to comply with the style standards of graphic design and deliver aesthetically appealing experience for the Digital user.
Requirements

The candidate will have to work on various projects, including Websites, E-Mailers, Banners and Social Media Promotonal needs. Must have an exceptional eye for design in web-applications, mobile platforms and web responsive to ensure a great user experience. The ideal candidate should be able to translate high-level requirements into interaction flow and artifacts and transform them into intuitive and functional user interfaces.

Person

3+ Years of experience in Photoshop, Illustrator, Corel Draw, HTML, CSS and wire-framing tools.

Translate high-level requirements into interaction flows, information Architecture, interaction design.

Construct prototypes, workflows, wireframes, storyboards, and mockups to effectively communicate interaction design.

Excellent written and verbal communication skills and the ability to research and resolve issues.

Job Descriptions
Overview
As a data scientist in Greanalyze you will be tasked with improving our data extraction capability, there are many angles from where the problem domain can be approached which will eventually lead to a non-trivial system of many models acting in unison to extract data from every source. Improving our data extraction capability is a fundamental foundation on which we will build and scale data capture.
Requirements

Solving problems from ideation to production, using machine learning.

Experimenting, training, tuning, and shipping machine learning models.

Writing production-quality code.

Exploratory data analyses and investigations and to gain new meaning from data.

Working with product managers to translate product/business problems into tractable machine learning problems.

Working with machine learning infrastructure engineers to ship models.

Presenting findings, results, and performance metrics to a broad range of stakeholders, including senior management.

Influencing the broader development of the data science discipline within the organisation.

Be the subject matter expert demonstrating mastery of the delivery and use of Data Engineering techniques and Science and its supporting technologies.

Person

PhD or MSc in Computer Science, Electrical Engineering, Statistics, Physics, or similar quantitative fields.

Strong theoretical foundations in linear algebra, probability theory, optimization.

Strong programming skills in Python.

Experience shipping production machine learning models.

Experience communicating projects to both technical and non-technical audiences.

Experience reporting machine learning accuracy in industry.

You are familiar with some or all of: logistic regression, gradient descent, regularization, cross-validation, overfitting, bias, variance, convex optimization, eigenvectors, relational databases, SQL and complex queries, latency, computational complexity, sparse matrices, feature engineering, clustering.

Real world application development experience and experience in IT roles across development and architecture with demonstrable experience and knowledge across multiple IT domains especially Big Data.

Job Descriptions
Overview
The role will focus on management and understanding of large data sets, utilizing data analysis, data mining and data representation techniques to deliver actionable insights and directions to the business teams. The Data Analyst will work closely with the existing data team who are responsible for maintaining a dedicated data analytics environment to integrate new and existing data sources that will support programme objectives. You will help identify and validate systems that deliver strategic data solutions. You will also work with the wider team and end-users to interpret business requirements and agree on appropriate solutions.
Requirements

Support the identification and analysis of business/data requirements.

Design solutions to meet new requirements.

Interpret data and analyse results using statistical techniques.

Identify, analyse, and interpret trends or patterns in complex data sets.

Evaluate internal systems for efficiency and inaccuracies.

Document key business information (including requirements, functional and technical specifications).

Document work requests, outputs and conclusions.

Adhere to data analytics team methodology and standards.

Person

Degree or MSc in Computer, Science or Data Engineering.

5+ Years Data Analysis experience.

Strong SQL Excel, R experience.

Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.

Excellent communication and interpersonal skills

Job Descriptions
Overview
The Technical Architect is part of the senior technical team and interface with company management, business analysts, clients, and the technical team. In this role you will participate in defining development roadmap in support of strategic business goals and objectives and assist in the development of key milestones that are aligned to development roadmap.
Requirements

Design of the Technical architecture of systems and Data modelling.

Advice on the development tools, techniques and approaches.

Write technical specifications and other technical design / architecture documents

Continuity planning, including planning of system migration scenarios and supervision of migration.

Assist in evaluation and assessment of new versions of products.

Develop standards and policies for development operations.

Coach the technical team in the development of the technical architecture.

Provide technical support and technical quality control throughout all stages of the SDLC.

Advise on technical issues, dependencies and risks.

Advise on new technologies and benefits of investing in new technologies and approaches.

Guaranteeing application designs support the overall technological strategy.

Person

Strong experience within the domain of Network Security with proven background of working with technologies like Firewalls, routers, switches, and DNS.

5+ years in a Software development role with 3+ years as a Technical or Solution Architect.

Experience of communicating design overviews and decisions to executive and technical management.

Experience of software technologies .Net, MySQL, JavaScript.

Experience of data modelling and analytics tools and techniques.

Job Descriptions
Overview
The Project Manager role is a critical hire for our continued success and growth. You will be managing customer digital transformation projects and ensuring the successful delivery of these efforts. Reporting to the Head of Enterprise Solutions, you will co-ordinate customer and Greanalyze resources to keep projects on time and in budget. The role encompasses the full PMO suite of skills.
Requirements

Project planning and delivery of digital transformation projects.

Reporting project progress and problems to customers and management.

Account management of key customers.

Project planning process implementation and improvement.

Management and mitigation of key risks and dependencies.

Product management input to key Greanalyze products and solutions.

Person

5 year's experience in a customer facing PM role.

Experience as a PMO Analyst.

Proven track record with project planning tools and processes.

Account management and product management experience a bonus.

Job Descriptions
Overview
The Sales Executive role is a critical hire for our continued success and growth. In this role you will establish, develop and maintains business relationships with current customers and prospective customers in the assigned territory/market segment to generate new business for Greanalyze's products and services.
Requirements

Phone calls, visits and presentations to existing and prospective clients.

Researches sources for developing prospective customers and information to determine their potential.

Expedites the resolution of customer problems and complaints.

Co-ordinates sales effort with marketing, sales management, accounting, logistics and technical service groups.

Analyse the market potential and determine the value of existing and prospective customers' value to the organisation.

Create, negotiate and close commercial agreements.

Locate/propose potential business deals by contacting potential clients; discovering and exploring opportunities.

Close new business deals by co-ordinating requirements; developing and negotiating contracts; integrating contract requirements with business operations.

Develop, present and implement plans to your manager for acquiring new clients/customers, including activity breakdowns, performance milestones, resource requirements and expense budget.

Prepare and submit sales activity reports and sales forecasts as requested by your Manager.

New business development and existing client account management.

Working towards and achieving sales targets.

Sales related reports.

Person

Minimum 4-6 years direct IT solutions sales to end customers.

Knowledge of the following technologies: Cloud, AWS, Oracle.

Experience in Selling into large enterprise customers is an advantage.

Network of contacts in enterprise CIO/CTO is an advantage.

Job Descriptions
Overview
This is a critical role in the delivery of the Greanalyze solution. In this role you will have the responsibility of implementing the Greanalyze technical solutions within the client's operational technology environments and be able to talk at the same technical level as the client network and security engineers, IT managers, network operations directors, and CIO/CTO.
Requirements

Demonstrated experience implementing complex technical environments involving large network and security projects.

Enterprise infrastructure design experience (Network and Security Architecture).

Firewalls such as Checkpoint, Juniper, Cisco ASA

Infrastructure - Routing and Switching (Cisco)

Shell Scripting experience an advantage (Python,Bash)

Experience of Network Management Systems (NMS), Universal Discovery, CMDBs.

Person

Strong experience within the domain of Network Security with proven background of working with technologies like Firewalls, routers, switches, and DNS.

Worked at enterprise scale across multiple sites, DCs, and cloud platforms.

Worked in a customer facing, on-site, front line role.

Certifications such as Cisco CCNA, White Hat, Certified Ethical Hacker

Experience of one or more of

- Network Security hardening

- Sandbox / DMZ implementation

- Cybersecurity packages and systems

- ISO 27001 security audits

- Internal and External pen testing

- DR/BC systems.

Job Descriptions
Overview
This is a critical role in the delivery of the Greanalyze solution. In this role you will have the responsibility of implementing the Greanalyze technical solutions within the client's operational technology environments and be able to talk at the same technical level as the client network and security engineers, IT managers, network operations directors, and CIO/CTO.
Requirements

Demonstrated experience implementing complex technical environments involving large network and security projects.

Enterprise infrastructure design experience (Network and Security Architecture).

Firewalls such as Checkpoint, Juniper, Cisco ASA

Infrastructure - Routing and Switching (Cisco)

Shell Scripting experience an advantage (Python,Bash)

Experience of Network Management Systems (NMS), Universal Discovery, CMDBs.

Person

Strong experience within the domain of Network Security with proven background of working with technologies like Firewalls, routers, switches, and DNS.

Worked at enterprise scale across multiple sites, DCs, and cloud platforms.

Worked in a customer facing, on-site, front line role.

Certifications such as Cisco CCNA, White Hat, Certified Ethical Hacker

Experience of one or more of

Network Security hardening

Sandbox / DMZ implementation

Cybersecurity packages and systems

ISO 27001 security audits

Internal and External pen testing

DR/BC systems.

Values
Integrity

At Greanalyze we value integrity, honesty, and transparency in all our interactions with our employees and our customers. We will always do the right thing and value people before profit.

Accountability

We hold ourselves accountable for our individual and collective actions. We make decisions quickly, take prompt action, and we take ownership and responsibility: everyone acts on behalf of the entire company.

Innovation

Innovation is a corner stone of what we do. We find new ways to collect and analyse data and provide new insights to our customers. We are constantly learning, questioning, researching, improving, optimizing.

Diversity

As a company with employees, partners, and customers from many different backgrounds and countries, we value diversity and inclusion regardless of race, religion or gender and we value everyone's contribution.

Diligence

We believe in what we do in Greanalyze and will persist until we find the best solutions and deliver the best results to our customers. We challenge the status quo and don't take short-cuts to achieve long-term value.

Benefits

Market leading compensation including bonus.

Flexible working hours and location.

Paid leave: sickness, parental, holidays.

Fully paid health insurance.

Company matched pension contributions.

Growth path, training and career development plan.

Contact us
Submit
Greanalyze
Ireland (Head office)
UNIT 7A, Keypoint,
Rosemount business park,
Dublin D11 KA97,
Ireland
Phone
+353 1 5573345
Email
info@greanalyze.com
copyright 2020 greanalyze