4 дня назад
Senior Data Management and Quality Analyst
82 700 - 120 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Management and Quality Analyst (SQL/Data Quality): Analyzing large, complex credit and alternative data assets to identify risks, trends, root causes, and actionable business insights with an accent on data quality, reporting, and stakeholder decision support. Focus on leading data quality investigations, building performance dashboards, supporting business acceptance testing, and improving data processes through automation.
Location: Chicago, Illinois; hybrid work with in-person attendance at an assigned office at least two days per week
Salary: $82,700–$120,000 annually
Company
provides credit and alternative data solutions, with a focus on improving the value, quality, and performance of data assets for customers and business teams.
What you will do
- Develop expertise in ’s credit and alternative data assets and provide subject matter guidance across business and data initiatives.
- Analyze large, complex datasets to identify trends, risks, opportunities, and actionable insights.
- Lead data quality investigations, identify root causes, and implement improvements to data performance and customer outcomes.
- Design and maintain data quality measures, analytical reports, and dashboards for operational and executive stakeholders.
- Partner with business and technology teams on Business Acceptance Testing for data events, platform changes, and product enhancements.
- Lead projects from concept through implementation while improving processes, automation, and analytical best practices.
Requirements
- Bachelor’s degree in data management, business analytics, information systems, statistics, business administration, or a related field, or equivalent experience.
- At least 7 years of experience in data analysis, data management, data quality, business intelligence, or a related discipline.
- Advanced SQL skills, including querying, investigating, and analyzing large, complex datasets.
- Experience developing data quality measures, analytical reporting, or dashboards and translating technical findings into business recommendations.
- Ability to independently lead initiatives, manage competing priorities, and communicate effectively with business stakeholders and senior leaders.
- Must be authorized to work full-time in the United States without current or future employer sponsorship.
Nice to have
- Knowledge of financial services, credit risk, consumer credit, or another data-driven industry.
- Experience with Linux command-line tools, Python, R, Tableau, Apache Superset, or similar analytical and visualization tools.
- Experience with BigQuery, Hadoop, Spark, Hive, AWS, GCP, Snowflake, Redshift, EMR, or comparable large-scale and cloud data platforms.
Culture & Benefits
- Hybrid work environment combining virtual work with regular office attendance.
- Medical, dental, and vision coverage with HSA and FSA options available from day one.
- 401(k) with employer match, employee stock purchase plan, financial wellness resources, and career coaching.
- Paid parental leave, caregiver support, adoption assistance, fertility planning coverage, and dependent care benefits.
- Tuition reimbursement, flexible or paid time off, paid holidays, commuter benefits, wellness programs, and paid volunteer time.
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