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  • Posted: Dec 19, 2022
    Deadline: Not specified
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    When it comes to creating exceptional software for the online gaming industry, Derivco is as the forefront of industry innovation. Our highly skilled teams of designers, developers, illustrators and animators love nothing more than working with the latest technology and have the most fun trying out new things. The software we produce for Microgaming has made...
    Read more about this company

     

    Data Analyst Level 2

    We are seeking an experienced data analyst to identify and capture business requirements in partnership with domain experts focusing on main areas/products of responsibility.
    Translate business requirements into data analytics projects and deliverables.
    Contribute ideas and support innovation projects that drive value in the business.

    Communicate achieved value & benefits.

    Planning & Project Management

    • Plans, coordinates and manages internal and external resources to accomplish assignments within scope: meeting time, cost and quality targets
    • Ensure new projects are aligned with the team strategy and that there's no duplication

    Evaluation

    • Evaluate the impact of decisions on overall business performance
    • Evaluate and optimize business KPIs on an ongoing basis
    • Evaluate the usefulness and accuracy of analytics solutions focusing on main area/product of responsibility
    • Collaborate with other members in the Analytics team to define and measure the success of new solutions

    Data Analysis

    • Collect, validate, cleanse, organize, transform, visualize, and analyze data from different data sources to inform business decisions
    • Carry out statistical analysis to test hypotheses and make recommendations
    • Create and iterate interactive visualizations and reports to provide intuitive insights
    • Proactively investigate trends and anomalies that can add business value
    • Contribute to the strategy of the analytics team
    • Deliver high quality solutions/projects timely while ensuring business requirements are met
    • Knowledge of key regulatory requirements to manage risks effectively
    • Initiate collaboration with others and voluntarily support others in the delivery of their work
    • Support the development of structured processes to analyse data
    • Serve as a subject matter expert within the team
    • Actively look for ways to identify market demands and meet customer or client needs

    Stakeholder engagement & communication

    • Communicate ideas and recommendations succinctly across the organization incl. senior leadership
    • Partner with business stakeholders to identify high-impact data analytics/science projects
    • Work with a diverse set of stakeholders and their expectations
    • Create regular communications for distribution within main area/product of responsibility promoting the work of the Analytics team and the adoption of our solutions
    • Identify opportunities to improve ways of working with the business

    Documentation & Training

    • Create documentation to communicate solution implementation and help standardize and optimize data analytics processes
    • Help create training resources and facilitate training on analytical tools for internal users
    • Deliver knowledge-sharing sessions across the data analytics and business intelligence community
    • Collaborate effectively with other members of the analytics team to ensure efficient delivery of projects including reports and predictive models

    Ongoing improvement

    • Propose and support continuous improvement activities focusing on main area/product of responsibility, e.g. evaluate and refine business analysis processes, practices and technologies, ensure robust quality assurance processes are adhered to, safe-guard data quality and privacy, etc.
    • Develop a good understanding of the business though shadowing, requirements gathering, stakeholder engagement, research, etc.
    • Proactively identify new data sources (internal and external) to enhance analytical models, and collaborate with technical team members to transfer new data into the warehouse
    • Support and maintain existing reports and dashboards focusing on main area/product of responsibility
    • Capture lessons learned and share with team and analytics community
    • Develop structured processes to analyze data

    Knowledge & Experience

    • Strong analytical and numerical skills with attention to detail
    • Demonstrate a strong understanding of the data to answer business questions effectively
    • Demonstrate a good understanding of company goals, industry fundamentals and business problems and find new ways to leverage data
    • Passionate about data and an engaging communicator with strong work ethic
    • Substantial experience using data visualization tools (Eg: Tableau, Power BI)
    • Strong consulting and presentation skills
    • Strong interpersonal skills and ability to build credibility
    • Ability to work in a multi-disciplinary, remote team
    • Strong data analysis skills including entity relationship diagrams and object graph mapping
    • Strong understanding of data structures, databases and query optimization/best practice
    • Ability to interpret output from data science models and to distil results into clear and succinct ‘stories’ for stakeholders
    • Strong knowledge of technical tools for analysis – SQL Management Studio (SSMS), R Studio, Weka, Stata, JMP, etc.
    • Knowledge of a programming language such as R, Python and SQL
    • Knowledge of version/source control systems (such as Github/Gitlab)
    • Experience working on projects with predictive modelling and statistical hypothesis testing
    • Experience creating and managing project plans and working with a diverse set of stakeholders to define requirements, roles and responsibilities, project timelines, etc.
    • Proven ability of deriving insights from diverse data sources and translating them into clear and precise conclusions and recommendations

    Strong oral and written communication skills

    • At least 2 years of work experience working in an analytical role, and/or ability to demonstrate strong analytical skills
    • Understand data as a resource and its potential applications for deriving value
    • Demonstrate high data literacy incl. identifying common data sources, structures, and types

    Education

    • Ideally a degree in a quantitative field such as Finance, Economics, Computer Science, Statistics, Math, Physics
    • or specialized training/certification
    • or equivalent work experience

    go to method of application »

    Brand Strategist

    Brand and market research

    • Research and analyse the company brand and reputation, internally and externally to identify insights, opportunities and challenges that affect our company's brand strategy and positioning.
    • Facilitate ideation sessions with creative teams and formulate proposals that influence the brand direction, strategy and narrative.

    Brand standards

    • Review branding contents across channels to ensure it aligns with the company and product brand strategies
    • Create and execute on various brand awareness activities for internal & external activations to promote brand interaction and visibility.
    • Develop branding recommendations for our sub-brands, products & services to improve positioning and awareness of new products and markets amongst target audiences.

    Data Analysis

    • Research and analyse markets and product performance data to develop branding proposals that will improve product differentiation, positioning and engagement.
    • Planning & Direction
    • Creates and drives research and analysis plans to support the company and its products' brand strategies.
    • Estimate and communicate the effort required for project milestone delivery to enable effective planning and prioritisation.

    Knowledge, Practices & Continuous Improvement

     

    • Create and deliver knowledge sharing programmes to educate key stakeholders on branding strategies and the impact on marketing and communication campaigns and content
    • Mentor and upskill colleagues to continuously build our capability.

    Stakeholder Management

    • Maintain a stakeholder map and continuously align with stakeholders on the brand analysis and research services provided to ensure it alignes to business requirements
    • Provide appropriate stakeholder feedback over social marketing platforms in accordance with the brand tone of voice.
    • Develop a FAQ for social media to ensure that all answers are updated according to brand content standards.

    Qualifications

    • Bachelors Degree in Communications, Journalism, Public Relations or related field

    Minimum

    Experience

    • 6-8 years in branding

    Preferable

    • Working in multinational tech companies.
    • Experience in enhancing the branding of product or service, as well as developing a marketing plan through analysis of current market data and trends.

    go to method of application »

    Information Technology Manager: Data Support Services

    Employment Type: Permanent

    We are trailblazers. We are innovative. We have technology running in our veins. Do we tick your boxes? Do you want to play a part in taking gaming technology to the next level? If yes, we’re looking for you!

    This is your opportunity to be part of the leading software house in the online gaming world. In our space, passionate, innovative and incredibly awesome teams create the best technology in the field, and each day is a chance to level up.

    • Planning, prioritising and management of operational delivery to the Data Support Services strategies.
    • Defining the commercial impact and benefits of a Data Support Services project or product.
    • Defining business and technical specifications for Data Support Services solutions.
    • Creating project decomposition and work breakdown structures for projects allocated to global IT delivery teams
    • Maintain the team's work backlog.
    • Identifying and communicating any risks, constraints or concerns that could influence the quality of the delivery and the requested timeframes.
    • Analyzing and determining the severity and commercial impact of data services problems on clients and identifying the most appropriate solution with regular feedback to all parties involved.
    • Managing Data Support Services incident resolution, change and deployment processes for global teams according to company standards and customer requirements.
    • Management of escalated, high severity incidents.
    • Providing insights on Data Support Service related product availability and recommending initiatives to improve commercial impact.
    • Planning and managing team capacity to enable "follow the sun" service delivery.
    • Ensuring the team is fully staffed and equipped with the resources and skillset required for team effectiveness. 
    • Developing and managing team members in line with technical requirements and organizational culture and objectives.
    • Team adoption of process changes.
    • Coordination of task team delivery.
    • Manage the end-to-end Data Support Services product lifecycle
    • Identifying and resolving data services process bottlenecks, quality, and compliance issues. 
    • Analysing service delivery and product measurements to identify automation and other improvements.
    • Implementation of actions to mitigate the occurrence or impact of risk.
    • Team adoption and continuous review of Data Support Services policies and practices to ensure effective and compliant delivery.
    • Managing operational and service level agreements with internal and external stakeholders.
    • Managing customer and service provider expectations and aligning practices accordingly. 
    • Driving stakeholder adoption of any changes that may affect Data Support service/product delivery.

    go to method of application »

    Senior BI Developer L1

    This is your opportunity to be part of the leading software house in the online gaming world. In our space, passionate, innovative and incredibly awesome teams create the best technology in the field, and each day is a chance to level up.

    Requirements Gathering, Analysis And Planning

    • Gather, document, influence and analyse business and system requirements for large, highly complex projects or programmes to understand and verify their feasibility, validity and alignment to department/BU strategy.
    • Plan and manage BI development projects from inception to closure to ensure BI development projects are delivered on time, within scope and meeting the solution requirements.
    • Explores the data and discovers patterns, meaningful relationships, anomalies, and trends to draw insights, predict trends and report to stakeholders
    • Creates and drives an operational implementation plan for a product or service to support the implementation of a technical product / service strategy

    Solution Design

    • Analyses requirements and designs software to create software designs that meet functional, performance and security requirements.

    Develop & Implement BI Solutions

    • Build the supporting structures for extracting, transforming and loading data within and between internal and external software systems to ensure data is acceptable for reporting purposes.
    • Utilizes advanced database and BI application technologies, e.g. DAX, nifi, cloud technologies, data bricks, etc. to design, develop visualise and test business intelligence products (Eg: Data Warehouse, Tools, Reports, Dashboards etc.)
    • Creates, maintains and reviews documentation for all BI solution development and maintenance to provide and ensure a record of all BI development activities for visibility and knowledge transfer.
    • Configure and test security and access on BI solutions to ensure compliance with data protection principles and requirements
    • Implements tools and frameworks within a business unit for automating report generation, identification of data-quality issues, and data governance
    • Adopt and define deployment pipelines according to DevOps principles
    • Creates scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation

    Quality Assurance

    • Review developed solutions to ensure these are delivered within required quality standards.
    • Leads solution reviews to improve development skills, data/ information quality metrics and knowledge of the team.
    • Recommend quality metrics to contribute to the team's quality measurements and the maintenance of standards

    Production Support

    • Troubleshoots BI tools, reports, systems and software, data loads and data reconciliation inconsistencies to resolve complex BI solution issues within business unit.
    • Tracks, monitors and analyzes performance and production issues, and implements improvements

    Customer/Stakeholder Management

    • Keeps customer informed about business intelligence tool problems, enhancements and resolutions
    • Creates and delivers training content to stakeholders customers to enable the optimal use of the business intelligence tools and analysis of data.
    • Monitors performance metrics, service delivery agreements and stakeholder feedback to identify opportunities and implement initiatives that improves stakeholder adoption and value.

    Knowledge Practices & Continuous Improvement

    • Align and implement practices required for the effective delivery of BI development services
    • Analyse performance measures to track and improve the effectiveness and efficiency of BI development services and recommend improvements.
    • Conduct research, review new technology and analyse data to identify BI development trends, new methods and standards
    • Participates in vendor evaluations to make recommendations on BI products and services

    Skills

    • Data Protection
    • Data Model Design
    • Data Governance
    • Data ETL
    • Data Analysis
    • Business Requirements
    • BI Solutions
    • Application Troubleshooting
    • Data Quality Test Automation
    • Data Warehousing (DW)
    • DevOps
    • ETL Processing
    • ETL Pipelines
    • ETL Tools
    • Microsoft Power BI
    • Structured Query Language (SQL)
    • Microsoft Azure
    • Project Planning
    • Root Cause Analyses

    Work Experience

    • BI Development- 4 - 6 yrs

    Degree

    • Relevant Degree / Diploma

    Are you ready to take your seat amongst the best? Apply now!

    Method of Application

    Build your CV for free. Download in different templates.

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