You will be responsible for:Provide support for various Data Domains.
Consistently make proactive suggestions regarding product usability, presentation, and data quality.
Continually learn, through formal and self-guided channels, to gain a growing understanding of data management, Invesco, and the industry.
Responsible for the integrity of data and runs day-to-day activities necessary to produce, validate, and deliver quality data to consuming functions and systems.
Proactively identifies, escalates, and resolves data issues.
Perform initial triage/research for data issues and escalate/route as necessary.
Work with senior associates on projects which improve and develop subject matter expertise.
Provide insights regarding themes around issues and errors and propose solutions.
Working closely with Data Product Owners, provide Data Analysis support for various development and research efforts.
Proactively analyze data to answer key questions for stakeholders, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity.
Defines, standardizes, measures, and monitors data quality metrics.
Develops reports/dashboards that enable data quality health checks by senior leaders.
Provide reporting of start of day data quality checks and track issue resolution.
Identify CDEs and maintain the data dictionary, aligning consumers to a standardized set of fields and definitions.
The experience you bring:3-5 years relevant experience
BA/BS in a relevant field.
Natural curiosity, with a strong desire to learn, ask questions, and share ideas.
Effectively manages multiple responsibilities, demonstrates initiative, and meets deadlines.
Solid understanding of desk top tools and ability to leverage for analytic and communication purposes.
Comfortable dealing with ambiguity and exercise independent judgement consistent with departmental goals.
Solid written and verbal communication skills.
Advance level SQL and Excel skills required.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Knowledge of data, analysis, and processes related to various asset classes and products.
Technical and business background with experience in investments data; specifically, asset management and/or financial services industry data is a plus.
Client-first mindset.
Purposeful and execution-oriented who sets bar high for self.
Good relationship building skills; appreciates diversity of thought and is a true team-player/collaborator.
Inclusive and supportive mindset and a continuous pursuit of growth.
Good communication and organizational skills.
Strong attention to detail.
Displays positive attitude, professional demeanor and is highly reliable.
Nice to haves:Experience with additional data analysis tools such as VBA, Python, Alteryx, or PowerBI.
Spotlight
Cafeteria, Office gym, Office cab/shuttle, Recreational activities, Professional degree assistance, Health insurance
