Senior Data Analyst (SNOWFLAKE, SQL)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$95K-$155K not verified - source not recorded; timestamp not recorded

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

12% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Analyst (SNOWFLAKE, SQL) Los Angeles, California; Charlotte, North Carolina SENIOR DATA ANALYST WHAT IS THE OPPORTUNITY? The Senior Data Analyst works within the Insights, Data Engineering & Analytics organization to meet the data pipeline strategies and objectives across the bank. The Senior Data Analyst will guide and lead end-to-end process, standards, and guidelines to ensure accurate and efficient data delivery of tasks and projects. WHAT WILL YOU DO? Lead data analysis via data discovery, exploration, investigation, and impact assessments. Apply best practices and illustrate understanding via data flows of systems and processes. Conduct and leads data profiling and data preparation by identifying gaps and qualifying data. Validates data by verifying against requirements and success criteria. Confirms understanding of requirements by modeling data with Entity Relationship diagrams and data flow diagrams Leads understanding by researching business processes and documenting inconsistent and incomplete data, value misinterpretations and misclassified data. Lead development/quality measurement, benchmarking and goal setting, performance measurement analysis Identify the appropriate data sources and map the data from source to target Create and manage the catalog and metadata of data related objects Guide integration across data sources and targets Perform one or more of the following: Actively mentor other colleagues by contributing experience and insight to the team Manage large programs & projects of significant complexity and risk. Independently (with minimal oversight) develop and maintain trusted advisor relationships, including at the senior leadership level and with external partners, that include guidance, as appropriate, for optimizing use of analytic capabilities

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