2 дня назад
Enterprise Data Analyst Senior
103 000 - 171 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Enterprise Data Analyst Senior (SQL/Python): Transforming complex enterprise data sets into structured information and data solutions that support strategic business decisions with an accent on data flows, source-to-target mappings, and data quality. Focus on designing end-to-end testing, conducting root-cause and impact analyses, and translating business data needs for data engineers and stakeholders.
Location: Buffalo, New York, United States of America
Salary: $103,000–$171,600 annual USD
Company
M&T Bank is a banking organization focused on delivering financial products and services supported by enterprise data.
What you will do
- Identify authoritative data sources and accurate data fields by querying SQL platforms.
- Wrangle complex data sets with SQL and Python and connect data assets across platforms and formats.
- Document data flows, mappings, specifications, and enterprise-level data solutions for multiple business use cases.
- Create and execute end-to-end test plans and scripts for complex data products and user stories.
- Translate business data needs into source-to-target mappings and sample data mock-ups for data engineers.
- Conduct root-cause and impact analysis, triage defects, and communicate data-flow recommendations and limitations to stakeholders.
Requirements
- Bachelor’s degree and at least 5 years of related experience, or a qualifying combination of higher education and work experience with at least 5 years of related experience.
- Experience pulling data from SQL platforms and querying data modeled in formats such as slowly changing dimensions, snapshots, key-value pairs, normalized tables, and wide tables.
- Experience completing user acceptance testing for data products.
- Knowledge of data management, data cataloging, and data lineage tools.
- Experience developing source-to-target mappings for full data loads and change data capture formats.
- Ability to follow risk, regulatory, internal-control, data-policy, and audit requirements.
Nice to have
- Advanced SQL and data-management skills.
- Experience working in Agile teams and mentoring analysts.
- Experience with data governance tools, data classification, privacy, statistics, and data science techniques.
Culture & Benefits
- Competitive compensation with health, welfare, and retirement benefits.
- 401(k) match of 5%.
- Flexible work arrangements and work-life balance support.
- Banking officers receive 25 days of paid time off and 12 paid holidays.
- 40 hours of paid volunteer time per year.
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