Franklin Templeton - Principal Data Analyst

JOB SUMMARY:

- The Global Data Governance group is responsible for assisting in the creation and implementation of standards and best practices that will allow Franklin Templeton to deal effectively with large amounts of disparate data in all of its different forms. The team provides the necessary strategy and structure to ensure that structured and unstructured data will be governed, viewed, managed, and stored as a seamless whole supporting the lifecycle of information from capture through to transformation.

- The Principle Data Analyst is responsible to provide knowledge and expertise across a single domain, relating to all aspects of the GDG services (Data Analysis & Profiling, Taxonomy and Data Governance). The Principle Data Analyst independently performs highly complex tasks and assignments. These tasks include the analysis and validation of data (data profiling), the review of dimensional data and ontology models, researching and developing taxonomy classification and metadata schema for content across FTI, creating content inventories, taxonomy development and integration and controlled terminology requirements and facilitates the development of standards, rules, best practices and procedures relating to the capture, integration and subsequent shared use of enterprise data.

- In this role, the individual is responsible for implementation and execution of strategies, within a single domain, relating to issue analysis, metadata management, data quality, impact analysis, data governance and leading any related initiatives / changes. The Principle Data Analyst will independently plan, organize and lead GDG activities associated with complex projects or phases of projects. In addition, the Principle Data Analyst may guidance and mentoring to team members as well as recommendations and solutions to Data Stewards and members of the management team.

JOB DUTIES/RESPONSIBILITIES:

Data Analysis and Profiling

- Responsible and accountable for all GDG activities associated with data analysis, data mapping and validation with business and technology partners within a single domain.

- Serves as a key coordination point to manage the exchange of critical information and decisions between business owners and System technology staff.

- Work closely with business unit to understand business data needs and requirements for reporting and data modeling.

- Work closely with ETL Developers and BI Developers to ensure ETL and reporting needs are met by development.

- Serves as subject matter expert on data sources and targets within a domain.

- Accountable to document data specifications describing solutions to achieve information requirements.

- Review and approve GDG recommendations regarding data profiling of source content including source system analysis.

- Analyze and make recommendations regarding business problems using root cause analysis, hypothesis generation, survey design, benchmarking, and other qualitative and quantitative methods.

- Accountable for the gathering and validation of business metadata, clarifying and maintaining metadata and capturing data retention and security requirements, as needed, at the element level.

Taxonomy

- Responsible for the ongoing maintenance of the FTI corporate Taxonomy.

- Collaborates with key business stakeholders to ensure that requirements are met, including educating others on how to access and use the corporate Taxonomy and to ensure compliance with all standards and best practices

- Researches and develops taxonomy classification and metadata schema for content across FTI

- Conduct content audit to discover and classify relevant material including identification of essential terms, controlled vocabularies.

- Develop recommendation for a taxonomy classification and metadata schema required to improve search relevance and feed basic faceted search capability.

- Conduct analysis and consultation in the areas of creating content inventories, taxonomy development and integration, controlled terminology requirements, and providing guidance to consumers of the FTI taxonomy for the assignment of appropriate metadata to content.

- Provide analysis and consultation for the implementation and integration of taxonomy and controlled terminology requirements in support of BUPOC and TOC level projects.

Data Governance

- Actively manage, improve and extend metadata associated with core and mission critical data.

- Facilitating the certification and ownership of enterprise business metadata and data.

- Facilitates the development of standards, rules, best practices and procedures relating to the capture, integration and subsequent shared use of enterprise data.

- Responsible for communicating and enforcing all Data Governance standards, rules and best practices throughout a single domain.

- Develops and monitors programs based on the direction of the Data and Analytics Board and Councils
Facilitates Community and forum discussions and activities and monitors compliance with standards defined by Councils and Communities

Qualifications

KNOWLEDGE, EDUCATION, AND EXPERIENCE:

- Bachelor’s degree in Business, Information Technology or a related analytical field.

- Minimum of 7 to 8 years’ experience in Data Management / Data Governance or Enterprise Technologies, working with data models and SQL.

- 8 to 10 years progressively responsible experience in business analysis, organizational/process management, information technology, data quality, or a related field.

- Ability to define and articulate data models in business terms and understanding of the data needs and dependencies across different business processes.

LICENSES AND CERTIFICATIONS

- None

ADDITIONAL DESIRABLE QUALIFICATIONS

- Minimum of 4 years’ experience with Franklin Templeton Investments.

- Experience in data analysis, data modeling, data mapping techniques and analysis of diverse and disparate datasets.

- Exposure to data profiling tools

- Exposure to taxonomy management and ontology

KNOWLEDGE, SKILLS, AND ABILITIES

- Expert knowledge of SQL, data management principles and understanding of data modeling

- Formal project life-cycle methodology experience. Project management experience preferred

- Ability to define and articulate data models in business terms and understanding of the data needs and dependencies across different business processes

- Excellent written and verbal communication skills.

- Excellent organizational and planning skills

- Proven leadership skills and ability to deliver effective results

- Proven ability to take initiative and work under pressure in a changing/growing environment

- Strong business insight

- Ability to lead teams in a multi-site environment

- Proven track record in participating as a team member in global technical programs with high visibility

- Expert knowledge of MS PowerPoint

- Advance skills with MS Excel, MS Word, MS Project, MS PowerPoint, and Visio

- Ability to multitask while maintaining attention to detail

- Able to cultivate interpersonal customer and co-worker relationships

- Ability to adjust to changing needs and re-prioritize tasks

- Ability to work individually or as a team as task requires

- Experience handling multiple deliverables, developing strong interdepartmental relationships, as well as strong oral and written communication skills

PROBLEM SOLVING AND DECISION MAKING

- Excellent communication, facilitation and influencing skills to ensure that projects make educated decisions based on accurate, reliable data.

- Able to interact effectively with highly technical personnel as well as internal business clients.

- Ability to lead teams and workshops toward a common goal and gain consensus.

- Solid quantitative and analytical skills

- Independently solves complex problems

- Work is performed without direction; participates in determining objectives of assignment; plans, schedules and arranges own activities in accomplishing objectives; work is reviewed for adequacy in meeting objectives.

- Ability to recognize and communicate potential issues impacting the organization

- Ability to made decisions independently within the context of organizational goals and long-term objectives

- Ability to solve or provide input to solve complex challenges

PHYSICAL REQUIREMENTS

- Ability to hear and speak to employees and outside business associated on the phone and in person.

- Ability to sit in one place for extended periods of time.

- Ability to articulate information to both internal and external customers in a manner that is clear and understood.

- Ability to maintain a professional image.

SUPERVISORY RESPONSIBILITY

- None

DESIRED LEADERSHIP SKILLS

- Ability to explain technical terms to senior level management effectively – including risk and advantages

- Ability to lead and mentor other staff

- Ability to manage remote teams on a global basis maintaining awareness of cultural diversity.

TRAVEL REQUIREMENTS

- May be required to travel to Franklin Templeton offices, customer or vendor locations