Data Transformation Job Description
Data Transformation Duties & Responsibilities
To write an effective data transformation job description, begin by listing detailed duties, responsibilities and expectations. We have included data transformation job description templates that you can modify and use.
Sample responsibilities for this position include:
Data Transformation Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Transformation
List any licenses or certifications required by the position: CPA, PMP, MBA, LEAN, CAPM, CFA, FRM, PMI, AWS, MP
Education for Data Transformation
Typically a job would require a certain level of education.
Employers hiring for the data transformation job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and University Degree in Computer Science, Engineering, Education, Business, Mathematics, Finance, Statistics, MBA, Business/Administration, Economics
Skills for Data Transformation
Desired skills for data transformation include:
Desired experience for data transformation includes:
Data Transformation Examples
Data Transformation Job Description
- Engaging with business sponsors and stakeholders, ensuring broad awareness is achieved and that the communications support strategy is realised
- Being accountable for the governance model across all levels, ensuring key risk and decision points are being raised and resolved
- Monitoring and reporting progress compared to agreed business outcomes, delivery plans and business cases
- Representing the program at relevant forums, such as delivery governance and platform committees
- Focusing on streamlining workflow, emphasising process and automation as the key pillars of each programme
- Creating solutions to meet the business challenge of the real-time availability of all transaction data and positions
- Enabling each Transformational Initiative to meet the objectives and managing the overall data governance structure, pulling together all groups in order to achieve the overall data goals
- Excellent communication and stakeholder management skills, with the ability to build strong working relationships at senior management level (Managing Director / Director level)
- Experience of working in large-scale, transformational programmes
- A strong programme management/delivery background and past focus
- Must work well independently in an agile, fast-paced, multi-task environment
- A thorough understanding of the financial services industry
- A strong background in a senior product/programme management function
- Excellent written and verbal German language skills would be beneficial
- Independent, flexible and have a proactive work style with a proven record of delivery
- Able to think creatively to solve problems
Data Transformation Job Description
- Responsible for leading multiple concurrent work streams related to delivery of information to support the BT programs (including overall design and architecture of the BT environment, and data design of BT operations), executing on all phases of project implementation
- Collaborate with IT leadership to document and create / modify processes to support the BT ecosystem design, and determine the optimal service models for all centrally managed tools (Scorecard, Tracker, Models, Dashboards)
- Recommend opportunities for BT infrastructure enhancements, working closely with Business and Technology partners to provide resolutions to business and technical issues
- Collaborates with business to define the data acquisition and data storage strategy through the future state BT infrastructure
- Oversee data trends and reports to measure effectiveness and install necessary benchmarks or thresholds to ensure data integrity and accuracy
- Develop advanced analytics models to support BT Initiatives
- Managed a team
- Experience connecting data to customer contact channels to create personalised customer experiences, from planning through to technical implementation, to ongoing testing and optimisation
- A thought leader in the data, digital and customer value management fields
- Experience with techniques and tools to translate customer and transactional data into actionable decisions and recommendations in an automated manner
- Remove blockers and facilitate the smooth running of the workstream
- Certification strongly preferred (IPMA, PMI, PRINCE II)
- Bachelor’s degree preferred in Computer Science, Engineering, Information Systems
- Strong knowledge of the IT function and how IT enables the business through effective strategic planning, governance and management discipline
- At least 10 - 15 years working experience in business analysis, solution design, systems analysis, business/management consulting, process mapping and engineering
- Experience in defining the Enterprise wide architecture from data acquisition through to information delivery using the Business Intelligence tools
Data Transformation Job Description
- Experience developing statistical propensity models and machine learning
- Engaging presentation manner and excellent communication skills
- Able to achieve and exceed revenue targets
- Uses data expertise and a strong understanding of business problems, IT strategies, issues and priorities to perform data analysis, identify and resolve data issues, and drive product enhancements and changes
- Creates and runs queries to verify that provider information is accurate and makes recommendations to processes and procedures to prevent further or continuing issues
- Identifies and solves data related problems, writes requirements, and provides direction on resolving issues
- Conducts research and collects data which contributes to continual product development to meet client needs
- Works on projects and may lead project teams
- Develop, apply, verify, and adjust conversion instructions as needed to comply with business logic and process guidelines
- Requires frequent use of independent judgment to proactively problem solve transformation issues
- Experience in evaluating options for meeting data sourcing needs and ensures that system requirements are identified, prioritized and incorporated in an effective, efficient manner
- Organize data acquisition work and deliverables and integrate/synthesize broad and diverse inputs and large amounts of information to formulate cohesive data requirements
- Experience of designing and implementing service models for platforms (Centrally or locally)
- Demonstrated expertise with multiple full life-cycle predictive analytics engagement across strategy, design and implementation, with focus on deep learning, pattern recognition
- Business process experience across multiple domains such as ERP, CRM, Supply Chain Management, ERP, Order and Asset Management, Billing, Revenue Assurance, Knowledge of IT frameworks such as ITSM/ITIL and Application lifecycle
- All candidates must be willing to be London or Manchester based, but offer full mobility
Data Transformation Job Description
- Primary internal and external customer contact, provides advice and expertise
- Develops focused training programs for junior level colleagues
- May develop and maintain relationships with third party organizations
- May allocate tasks to determine optimal utilization of resources in a single workgroup
- May directly manage the performance of a single functional group
- Ability to control multiple and diverse projects from conception to delivery
- Advanced knowledge in professional or technical field
- Ability to mentor and train entry level colleagues
- Accomplished in written and oral communications
- Respond to requests by JOC and Fairplay editorial teams for data to support their stories, possibly multiple times a day Create charts pursuant to daily deadlines for inclusion in breaking JOC.com and Fairplay stories, for longer term editorial projects, or for PowerPoint presentations by M&T journalists
- Some hands on experience in implementing virtualisation
- Responsible for the decisioning and data personalisation strategic project delivery
- Move us to a 1-1, personalised journey model and the ability to optimise these various journeys
- Acquire, organise and surface the data required to deliver these experiences, be it across sites, apps, emails, call centres, set top boxes and non-digital touchpoints
- Define, deliver then sell-in to the business the data infrastructure changes needed to make these experiences consistent and re-enforcing across channels – RTD + CMS + DMP + Digital send platform + A/B, MVT tools
- Work with marketing, digital and product teams to construct and deliver a data planning strategy covering omni-channel campaign management
Data Transformation Job Description
- Gathering and maintaining accurate data of assigned offshore subsea construction vessels
- Updating and maintain data quality in company databases
- Providing customer support when necessary
- The position will also provide support for certain editorial and market research efforts
- Analysis and of data/news for contact conversation and forecasting reports
- Establishing and maintaining relevant industry contacts particularly via phone calling
- Updating and maintaining the Company's proprietary databases including data input and data checks
- Providing support to related editorial and market research efforts as assigned
- Editing and proofreading own work and that of others before publication
- Designing and developing services, procedures, and software tools to complement the DM & LT migration solutions which will be used by customers, partners, and the DM & LT consulting team
- Advanced graduate degree typically required (e.g., MBA, PhD, ) in computer science, engineering, physics, mathematics or business degree with specialization in technology management, industrial engineering or similar
- Excellent communicator able to act independently and proactively
- 8-10 years of successful experience in sales with a focus in software, data integration, data to cloud, automating business processes, or content related industries required
- Strong working knowledge of SQL Server (any SSIS experience is a plus and also any C#/Java experience is a plus)
- Understanding of data warehouse architecture and design is preferred
- A minimum of 3-6 years experience working with technical information and documentations