Senior Data & Information Management Analyst

TD; Mount Laurel Township (NJ); On-site; USD 72,000 - 118,000; Full time

Job summary

TD in Mount Laurel, New Jersey, is seeking a Senior Business Information Management Analyst to provide business-technical leadership across information management and data analytics. You will guide the analysis, design and support of data management solutions on projects up to large scale.

You will work with very large datasets, apply ETL and data wrangling, model data for reporting, and collaborate with Data Owners, stakeholders, and technology teams to ensure data quality, regulatory

Qualifications

• Undergraduate degree or Technical Certificate.
• 5+ years of relevant experience in data/analytics or related fields.
• Proficient knowledge of various data sources, tools and technologies used in preparing summaries and reports.
• Analytical and problem solving skills; ability to work with large datasets.
• Experience with data modeling, ETL, and data visualization is helpful.
• Ability to mentor others and communicate effectively.

Responsibilities

• Analyze and understand business and data requirements to develop complete data solutions.
• Develop data models, governance, metadata and reporting elements.
• Collaborate with technology and business partners to resolve issues.
• Lead data projects and coach team members.
• Support data ownership responsibilities and regulatory compliance.

Skills

Analytical skills

SQL experience

Programming languages

Big data concepts

Education

Undergraduate degree or Technical Certificate

Tools

MS Office

Visualization tools

Job description

TD in Mount Laurel, New Jersey, is seeking a Senior Business Information Management Analyst to provide business-technical leadership across information management and data analytics. You will guide the analysis, design and support of data management solutions on projects up to large scale.

You will work with very large datasets, apply ETL and data wrangling, model data for reporting, and collaborate with Data Owners, stakeholders, and technology teams to ensure data quality, regulatory