Job Summary: 

• Turn processes, systems, and data from customers into information, information into insight, and insight into business value to carry out consulting missions. 
• Serve as the liaison between the client, operational teams, and Smart Data department.
• Strategic issue for the company, the candidate will value complex data sources, develop the knowledge of customers’ processes, and provide high level support to business consultants.
• Study client’s environment in order to define business needs
• Define client’s data sources (ERP or home-made software) required for projects
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities for analysis
• Conduce part of lifecycle data analysis: Data model analysis, checks, final enrichments
• Drive data handling activities done by the internal Data Services team.
• Provide data support to four consultants (documentation, training, support)
• Develop solutions with the team for automating and simplifying data analysis

Skills on Resume: 

• Data Transformation (Hard Skills)
• Stakeholder Liaison (Soft Skills)
• Data Valuation (Hard Skills)
• Business Analysis (Hard Skills)
• Data Sourcing (Hard Skills)
• Priority Management (Soft Skills)
• Process Improvement (Hard Skills)
• Data Support (Hard Skills)

Job Summary: 

• Transforming client data and creating analytical data scripts
• Visualizing results in an engaging way for stakeholders
• Perform data quality and control checks across all analytical procedures
• Working with external clients, arranging the secure transfer and collection of data
• Assist in the implementation of the Information Management Strategy for the Group
• Assist the Group in identifying its Critical Data and bringing it under governance & work on data projects. 
• Supporting every step of data science and machine learning projects in terms of identifying and understanding the business need, translating business requirements, supporting decision-making processes with an analytical business perspective
• Collecting, summarizing and presenting large data sets from different sources, drawing business-relevant conclusions and actionable insights
• Supporting necessary analyses related customer segmentation, recommendation systems, budget optimization, delivery systems, anomalies and more.
• Participate in cross-functional team projects (e.g. consulting audit IT)

Skills on Resume: 

• Data Transformation (Hard Skills)
• Data Visualization (Hard Skills)
• Quality Control (Hard Skills)
• Data Management (Hard Skills)
• Strategy Implementation (Hard Skills)
• Data Governance (Hard Skills)
• Business Analysis (Hard Skills)
• Team Collaboration (Soft Skills)

Job Summary: 

• Engaging with business and technical teams like Data and Analytics to extract user stories from business requirements and transform these into technical tasks.
• Undertake and provide support for planning, and work with data teams to design Data applications that meet customer requirements to support a wide range of solutions for various business areas
• Undertake Business Analyst and Systems Analyst practices as well as great understanding of stakeholder requirements.
• Business analysis, functional specification and prioritization of scope with the help of product managers
• In collaboration with stakeholders through workshops and meetings, review existing requirements, conduct a gap analysis, and document requirements
• Extract data for analysis from various data sources like Oracle, Redshift, Athena & Kafka through SQL & Stored procedures.
• Work as a business partner with stakeholders to tackle business challenges
• Understand and get the most out of the data products by partnering with stakeholders by leveraging data capabilities

Skills on Resume:

• User Story Development (Hard Skills)
• Data Application Design (Hard Skills)
• Business Analysis (Hard Skills)
• Requirements Documentation (Hard Skills)
• SQL Proficiency (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Gap Analysis (Hard Skills)
• Data Utilization Strategies (Hard Skills)

Job Summary: 

• Analyse customer journeys and business processes and identify optimization opportunities using data solutions
• Work closely with Data technical development team and architecture to translate business needs into effective solutions
• Work closely with Data Product Manager and Line Leads, ensuring that business priorities and requirements are effectively communicated in a timely manner
• Manage change of requirements and/or solutions in response to changing circumstances to ensure business agility
• Proactively undertake, lead and galvanise activities to support project objectives and timely delivery
• Provide consultancy on the feasibility and value of ideas in the early stages of idea development
• Own Stakeholder specific analyses end-to-end: requirements collection, project planning with data management, execution and follow up.
• Work closely with the business to solidify or, where needed, challenge business objectives

Skills on Resume:

• Data Analysis (Hard Skills)
• Solution Architecture (Hard Skills)
• Stakeholder Management (Soft Skills)
• Change Management (Soft Skills)
• Project Leadership (Soft Skills)
• Business Consultation (Soft Skills)
• Requirements Gathering (Hard Skills)
• Strategic Communication (Soft Skills)

Job Summary: 

• Work directly with business subject matter experts to understand data created by different business processes and translate this knowledge into domain data models
• Analyze source system data and data-related system integration challenges to propose appropriate solutions
• Building understanding of information and data models represented in ER or Semantic notations
• Create and maintain conceptual, logical and physical data models using best practices to ensure high data quality and easy integration of different systems
• Work with development teams to translate logical data models into physical structures
• Support development teams in optimizing and updating existing solutions
• Work with solution architects to develop the solutions that will address business needs
• Recommend opportunities for reuse of data models in new environments 
• Evaluate data models and physical databases for variances and discrepancies
• Review new application designs and recommend corrections 
• Enhance data analytics pipelines to better fit the need of the business
• Document the requirements (URS,FS) in ALM tool.

Skills on Resume:

• Data Modeling (Hard Skills)
• Systems Analysis (Hard Skills)
• ER and Semantic Modeling (Hard Skills)
• Database Design (Hard Skills)
• Solution Development (Hard Skills)
• Optimization Techniques (Hard Skills)
• Documentation (Hard Skills)
• Business Consultation (Soft Skills)

Job Summary: 

• Work cross-functionally with the Project Team and Business partners
• Facilitate sessions to elicit, detail and develop an exchanged opinion of business, Functional/Non-Functional and Data requirements within projects and initiatives
• Participate in the solution design process
• Work closely with multi-functional teams to ensure requirements are represented during development and testing
• Develop and maintain strong working relationships with key business partners
• Facilitate and attend workshops, daily stand ups, retrospectives and team-based release planning as the need arises
• Ensure that all artefacts are crafted and maintained in line with standards as outlined
• Support project peers in project related activities as the need arises
• Own issues and remove impediments to the business analysis progress and raise issues in a timely manner for resolution
• Support business unit partners to define, plan, execute and automate analytics initiatives
• Validate and document analytics models and processes and assist with deployment
• Collaborate with other analytics capability groups (Data Architecture, Visualization) to deliver high quality solutions to business partners.

Skills on Resume: 

• Requirements Elicitation (Hard Skills)
• Solution Design (Hard Skills)
• Project Collaboration (Soft Skills)
• Relationship Management (Soft Skills)
• Workshop Facilitation (Soft Skills)
• Agile Methodology (Hard Skills)
• Analytics Validation (Hard Skills)
• Cross-Functional Teamwork (Soft Skills)

Job Summary: 

• Work with Global team to understand Data and Analytics needs (features, functionality Data) for Invescorsquos portfolio management, Compliance, Product needs
• Work with Team, Compliance team, FI and EQ Portfolio management teams on portfolio needs including data, analytics to use in various Initiatives
• Analyze various data sources to load EGS data into the Centralized Snowflake Repository including historical data
• Work with other technology teams to obtain Portfolio, security, and benchmark data to overlay data to meet analytics needs
• Provide product level analysis ndash producing required product analysis documentation (stories, requirements, use cases, sequence diagrams, future state proposals elliptic) 
• Write user stories and define acceptance criteria in pair with product owner to provide direct business value
• Manage Backlog and keep the stories ready for continued development pipeline
• Responsible for short feedback loop by validating completed development work against the acceptance criteria and working with users 
• Validating delivered outcomes is actually solving intended business problems and informing next highest priority in product development 
• Facilitate the development of standard methodology while identifying process and technical gaps that need to be filled.
• Lead client status and executive review meetings

Skills on Resume: 

• Data Analysis (Hard Skills)
• Portfolio Management (Hard Skills)
• Snowflake Data Management (Hard Skills)
• Product Analysis (Hard Skills)
• User Story Development (Hard Skills)
• Backlog Management (Hard Skills)
• Stakeholder Engagement (Soft Skills)
• Process Improvement (Soft Skills)

Job Summary: 

• Data analysis and discovery
• Support data modelling and mapping activities to ensure business rules’ configuration
• Data extraction to support business ad-hoc requests
• Monitor analytical platform results and business requirements analysis
• Ensure the data is correctly collected from various sources 
• Building knowledge and strong productive relationships across the program and business
• Owning the communications with all relevant Business Units on progress tracking
• Supporting the Business in addressing challenges or uncertainties relating to the area
• Provide regular status updates to key stakeholders, understanding and communicating key risks and issues
• Elicit technical, data and reporting requirements and translating these requirements into actionable work
• Undertake data modelling and SQL Scripting

Skills on Resume: 

• Data Analysis (Hard Skills)
• Data Modeling (Hard Skills)
• Data Extraction (Hard Skills)
• Relationship Building (Soft Skills)
• Stakeholder Communication (Soft Skills)
• Risk Management (Soft Skills)
• SQL Scripting (Hard Skills)
• Requirements Elicitation (Hard Skills)

Job Summary: 

• Define, scope and harvest a wide range of internal and external data sets relevant to Innovate KTN's vision and purpose
• Collate and interpret this data to help shape the priorities of Innovate KTN and other organisations, including policy recommendations
• Keep abreast of and analyse market/business data from Innovate KTN's key strategic priorities
• Provide technical support and capability in the design and production of a coherent portfolio of data insights/ assets for Innovate KTN
• Scope and develop any primary research required to collect data from Innovate KTN's networks
• Identify patterns and trends in data to inform evidence-based decision-making within Innovate KTN
• Strengthening Innovate KTN's analytical capabilities through creative approaches in visualizing complex data sets clearly and concisely
• Parse, clean and produce data-sets which can be used easily and automatically by Innovate KTN's emerging data-driven products (for example, landscape maps) and then handed over to other Innovate KTN teams to manage and maintain
• Identify any potential copyright/intellectual property issues in 3rd party data and work closely with legal colleagues them to resolve/clear these
• Deliver key aspects of Innovate KTN's Company Plan
• Work closely with Innovate KTN's Executive team to provide data, intelligence and recommendations on important emerging areas of innovation

Skills on Resume: 

• Data Analysis (Hard Skills)
• Policy Development (Hard Skills)
• Market Research (Hard Skills)
• Technical Support (Hard Skills)
• Research Design (Hard Skills)
• Trend Identification (Hard Skills)
• Data Visualization (Hard Skills)
• Intellectual Property Management (Hard Skills)

Job Summary: 

• Performing accurate and timely analysis reconciliation of data
• Becoming the first point of contact in the team to monitor quality & accuracy
• Ensuring the new joiners are being trained accordingly to the role
• Liaising with internal and external parties in a confident, timely and accurate manner
• Producing, updating & maintaining process related documentation
• Collecting and documenting reporting requirements from stakeholders.
• Participating in automating, enhancing and improving existing processes/tools
• Being the main contact point for internal and external key stakeholders for operational queries and supports various teams by providing more complex data
• Ensuring all the data is being appropriately tracked, chased and stored
• Lead project meetings, facilitate workshops and present to senior stakeholders
• Provide technical guidance and advice to stakeholders

Skills on Resume: 

• Data Reconciliation (Hard Skills)
• Quality Control (Hard Skills)
• Training Development (Soft Skills)
• Stakeholder Communication (Soft Skills)
• Process Documentation (Hard Skills)
• Requirements Gathering (Hard Skills)
• Process Automation (Hard Skills)
• Project Leadership (Soft Skills)

Job Summary: 

• Lead data discovery, data assessment, data cleansing, data profiling, source to source-to-target mapping activities
• Maintain relevant documentation (e.g., data dictionary, data catalog, architecture documentation)
• Translate business needs into requirements and work with delivery team through the entire development lifecycle
• Write user stories and act as a bridge between the business and development teams
• Plan and execute elicitation/discovery activities to engage both business and IT stakeholders
• Design and drive stakeholder workshops/interviews to define and prioritize business needs
• Work in collaboration with customer stakeholders/delivery management/solution architects/ data engineers throughout the development lifecycle
• Prototype business needs and validate prototypes with business stakeholder before sending them to mass production using mock-up/prototyping/data visualization tools
• Conduct Sprint review sessions or UAT with customer stakeholders
• Prepare post-development / post-production materials to support stakeholders in increasing adoption of deliverables (e.g., trainings/training materials/marketing materials)
• Work closely with a distributed, global development project team

Skills on Resume: 

• Data Profiling (Hard Skills)
• Documentation Management (Hard Skills)
• Requirements Analysis (Hard Skills)
• User Story Development (Hard Skills)
• Stakeholder Engagement (Soft Skills)
• Workshop Facilitation (Soft Skills)
• Prototyping (Hard Skills)
• Agile Project Management (Hard Skills)

Job Summary: 

• Ensure data risks are managed by supporting the team to evaluate data risks and implement and monitor controls
• Partner with relevant cross-functional teams to ensure risks are appropriately managed
• Ensure management understanding of data quality issues and impacts by monitoring issue status, perform analysis of data incidents and issues, and ensure material issues are raised
• Ensure risk/control gaps and or data quality issues are addressed by supporting the team to establish remediation plans for gaps and thematic/material data issues
• Deliver status updates to the Data management team and Stakeholders (Data Owners.)
• Drive data and solution requirements gathering sessions on data projects, prepare and deliver client presentations and work products.
• Lead current state discovery sessions and effectively gather information on the current state data landscape, available datasets, and data systems.
• Work on Data Governance projects to perform maturity assessments, establish data governance organisations, help the company establish required policies and processes and help to embed the change in the organization.
• Translate business needs into technical requirements
• Document and communicate findings with data squads, stakeholders, and management

Skills on Resume: 

• Risk Assessment (Hard Skills)
• Data Analysis (Hard Skills)
• Remediation Planning (Hard Skills)
• Data Governance (Hard Skills)
• Presentation Skills (Soft Skills)
• Stakeholder Management (Soft Skills)
• Technical Writing (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)

Job Summary: 

• Use requirement gathering skills to build the understanding of the end-to-end business processes in scope of the change, concepts, terms & definitions, and high-level architectural design
• Work with the Group data team to define the critical data in preparation for presentation and approval at internal Data Working Groups and Councils. 
• Also facilitate change forums related to data, ensuring a robust process is set up and data is governed and fit for purpose for changes across systems and databases
• Plan and execute initiatives to implement data management practices for good data quality outcomes including reference data and master data across the data landscape. 
• Identifying the data in scope of the project and critical data points by making use of Group data guidelines and use definitions and technical specification skills to ensure that the right data will be captured within the expected format/structure to ensure quality data.
• Analyze and Identify Data Quality issues with the data in scope and facilitate the determination of issue impact, root cause and resolution options
• Work with Product Owners, Systems teams, Business Operations, and Project Teams to deliver good data management practices into project delivery, supporting changes to processes and behaviors.
• Engage a diverse set of business stakeholders to assist with capturing metadata, business data lineage, data ownership across the data lifecycle, business & Data Quality rules, and establishing data quality measuring and monitoring.
• Work with SMEs across the bank to gather requirements for data marts and data acquisitions
• Work with the Data Management team to analyze and clarify data requirements to prepare them for data modeling
• Perform user acceptance testing of data marts and other data validations 

Skills on Resume: 

• Requirements Gathering (Hard Skills)
• Data Governance (Hard Skills)
• Change Management (Hard Skills)
• Data Quality Management (Hard Skills)
• Stakeholder Engagement (Soft Skills)
• Communication Skills (Soft Skills)
• Problem Solving (Soft Skills)
• User Acceptance Testing (Hard Skills)