Td Data Analyst information
See salary details
$43.3K - $52.5K
7% of jobs
$52.5K - $61.8K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.8K - $71.1K
18% of jobs
The median wage is $75.4K / yr.
$71.1K - $80.4K
16% of jobs
$80.4K - $89.6K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$89.6K - $98.9K
9% of jobs
$98.9K - $108.2K
5% of jobs
$108.2K - $117.5K
9% of jobs
$117.5K - $126.7K
3% of jobs
$126.7K - $136K
2% of jobs
How much do td data analyst jobs pay per year?
As of Sep 10, 2026, the average yearly pay for td data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
A TD Data Analyst is responsible for collecting, processing, and analyzing data to help TD (Toronto-Dominion Bank) make informed business decisions. They use statistical tools and software to interpret complex data sets, identify trends, and provide actionable insights to various departments within the organization. Their work supports areas such as risk management, customer experience, and operational efficiency. TD Data Analysts often collaborate with business stakeholders to understand their data needs and present findings in clear, accessible reports.
TD Data Analysts often work closely with teams across the organization, such as marketing, finance, and operations, to understand their data needs and deliver actionable insights. They participate in cross-functional meetings, translate business requirements into data queries, and present findings in a clear, accessible manner. This collaborative approach helps ensure that data-driven strategies are aligned with organizational goals and that stakeholders can make informed decisions based on accurate analysis.
To thrive as a TD Data Analyst, you need strong analytical skills, a solid understanding of statistics, and proficiency in data management, typically supported by a degree in a quantitative field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI is essential, alongside experience with TD's internal data systems. Excellent problem-solving abilities, attention to detail, and strong communication skills help you translate complex data into actionable insights for stakeholders. These competencies are crucial for driving data-informed decision-making and supporting business objectives within the organization.
Data analyst roles are expected to remain in demand in 2026 due to ongoing growth in data-driven decision making across industries. Success in this field often requires proficiency in tools like SQL, Excel, and data visualization software, along with strong analytical skills. Continuous learning and certification can enhance job prospects as technology evolves.
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