Data Transformation Job Description

Data Transformation Job Description

155 votes for Data Transformation
Data transformation provides technical consultation to team members grounded in the understanding of MS SQL/Server capabilities, shortcoming and applicability.

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:

Providing leadership to internal teams clients
Manages a team of Regional Data Transformation Specialists that work globally to transform source data into customer knowledge
Responsible for developing and providing the business rules and education needed to transform the data at Enterprise, Business Group and Application level
Responsible for creating customer knowledge that enables intelligent customer interactions in each region
Works closely with the Global Business Integration Manager, business owners and end users in each region/business group to understand the use cases and to establish essential data organization and relationships
Works with business users to understand the requirements and establish processes to deliver customer knowledge including real-time services
Works closely with IT management to establish the transformed database structures and processes
Responsible for designing the transformations of source data into customer knowledge
Develop and provide the business rules needed to transform the data at Enterprise, Business Group and Application level
Responsible for creating customer knowledge that enables intelligent customer interactions

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:

Microsoft Excel
Financial markets to ensure effective understanding of assigned content/market
MS Excel & MS PowerPoint
MS Word
Banking organization
Data manipulation
Finance/Risk and Bank core systems
Microsoft Office packages
New areas
Operations and technology

Desired experience for data transformation includes:

Interfaces with Regional Business Integration Analysts, business owners and end users in each region/business group to understand the use cases and to assist in analysis and design of essential data organization and relationships
Works closely with IT teams to design the transformed database structures and processes
Strongly motivated team player that is constantly working to innovate and challenge the business through discovering new analytics techniques and tools to improve the quality of the business
Strong understanding and proficiency of predictive modeling techniques
Superior research, statistical, analytical, and mathematical skills with ability to structure and conduct analyses
Ability to engage in model discussions with the team and leadership

Data Transformation Examples


Data Transformation Job Description

Job Description Example
Our growing company is looking to fill the role of data transformation. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data transformation
  • 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
Qualifications for data transformation
  • 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

Job Description Example
Our company is looking for a data transformation. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data transformation
  • 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
Qualifications for data transformation
  • 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

Job Description Example
Our growing company is looking to fill the role of data transformation. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for data transformation
  • 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
Qualifications for data transformation
  • 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

Job Description Example
Our growing company is looking for a data transformation. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data transformation
  • 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 and Fairplay stories, for longer term editorial projects, or for PowerPoint presentations by M&T journalists
Qualifications for data transformation
  • 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

Job Description Example
Our company is growing rapidly and is hiring for a data transformation. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for data transformation
  • 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
Qualifications for data transformation
  • 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

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