Data Analytics Specialist

What success looks like in this role:

Business Development:

• Leverages “technical/subject matter” expertise to support business development through identifying, qualifying, and developing new opportunities and/or participating in the development of proposals for new opportunities.
• Recognized within the division and project teams as an expert in technology/SME disciplines and is sufficiently knowledgeable to make implementation decisions.
• Develops solutions and estimates that are correct, viable, and accurate for technology projects.
• Develops designs of proposed solutions by leveraging current industry, technical knowledge and/or enterprise IT knowledge to identify and integrate components, products, and tools in support of new business development. Service Delivery:
• Demonstrates in-depth knowledge and leadership in one or more IT disciplines to include knowledge of industry standard, trends, and products. Applies this this knowledge to support the design/delivery of innovative solutions that meet customer requirements.
• Interfaces and communicates with mid-level and senior client leadership that may include technical presentations, in their area of expertise.
• Demonstrates advanced knowlege and leadership in solution architecture, design, development, test, configuration, deployment, and maintenance as it relates to their area of expertise (e.g., software, infrastructure, training).
• Reviews project artifacts and may provide an approval function for solution artifacts and plans.
• May provide technical oversight of projects or proposals for validity and completeness.
• Establishes and maintains productive working relationships with Unisys third party companies and within the division to facilitate the exchange of information and application of best practices to client solutions. Freely shares expertise and knowledge with peers within the division.
• Promotes Unisys and ones own capabilities by networking with peers in other companies.
• Participates in at least one professional organizations and/or user groups.
• Is responsible for the successful delivery of solutions as it relates to their area of expertise. Ensures that all implementation artifacts and deliverables are developed to the highest quality standards.
• Takes responsibility for the integrity and delivery of the larger solution or major infrastructure solution area as designated in the project plan.
• Keep abreast of information technology and applied research trends and developments and incorporate them into assignments where appropriate.
  
• Supports the generation of systems software information technology policies, standards and procedures. People Management:
• May provide formal management of a team of technologists, manage performance feedback, and provide training and professional development opportunities to help individuals reach their full potential.
• May lead teams by assigning and reviewing tasks.
• Serves as the technology mentor for practitioners across the project teams and division.
• May monitor the performance of internal and external service providers and/or sub-contractors in order to ensure the awareness or requirements, adherence to project quality, and timely implementation of deliverables.

You will be successful in this role if you have:

• Experience in various databases, data lakes, data analytics
• Experience in one or more related cloud platform technology areas that interests you, for example: SQL Server, Data Lake Storage, Data Movement/Transformation e.g. Azure Data Factory/AWS Glue, Data Analytics e.g. Databricks/Synapse/BigQuery, Data Cataloguing, Data Quality, Data Lineage, Data Governance, Data Mesh/Lakehouse, Master Data Management etc.
• Deep expertise in various form of databases – Oracle, MS-SQL Server, MySQL, MongoDB, Cassandra, Hadoop, Spark etc. and database query languages – SQL, NoSQL
• Knowledge of common industry tooling covering areas such as ingestion, streaming, storage, visualisation etc.
• Experience with hands-on implementation on cloud platforms including at least one of: Microsoft Azure, Amazon Web Services, Google Cloud
• Experience in designing and implementing Data Vault, Data Lake and Mart technologies in Cloud
• Experience in designing and implementing the migration of data from one data source to another in which the data sources are not of same type such as Mainframe to Modern Databases such as Oracle
• Experience using advanced SQL functions and query performance tuning
• Familiar with a variety of modelling approaches, tools and model repositories
• Strong knowledge of master data management

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• Knowledge of Business Objects, Tableau etc
• Knowledge and/or experience with service-oriented architecture entities and frameworks
• Knowledge of database performance/tuning/measurement, as well as user access and data manipulation
• Data warehousing, including business line and enterprise data warehouses, operational data stores, and business intelligence data structures
• Experience in Conceptual, Logical, and Physical Data Model design
• Strong knowledge of entity relationships
• Hands on skills in SQL, Python, AWS & Azure infrastructures, Alteryx & Tableau
• Documented experience (at least 2 years) with ETL in the context of data warehouses
• Knowledge of Big Data environments (Hadoop)
• Has strong expertise and experience in data analytics, data visualization, machine learning and predictive modelling
• Defines policies, procedures and models for data collection, storage, structure, access, manipulation, access and visualization
• Defines technologies and tools used at various stages of data driven solution creation, maintenance and operation
• Understands and connects business and technology aspects of data and its usages
• Expertise and experience to translate data related business requirements into technology solutions
• Strong expertise in business intelligence (BI) software – Tableau, Power BI, Chartio, and related programming languages – Python, R

Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.

This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys’ EEO commitment here.