Data & BI Senior Assoc
$80,000 - $150,000 per year
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Posted today
SENIORITY
Lead
SALARY
$80,000 - $150,000 per year
About the role
- Maintain and enhance KeyBank's Google Cloud-based Analytics Marts, including Star Marts and Analytic Data models.
- Serve as a subject matter expert (SME) for assigned data domains and marts.
- Support enterprise data quality efforts, including testing, validation, and documentation.
- Analyze large and small datasets to identify trends, gaps, and opportunities for improvement.
- Collaborate onsite with operations and support teams to address tool functionality and capability gaps.
- Participate in user acceptance testing (UAT) to ensure high-quality releases and user experiences.
- Engage with the analytics community to promote data literacy, identify issues, and drive solutions.
- Translate business needs into technical requirements and provide consulting on data usage.
- Partner with the Data Literacy team to integrate data concepts with lineage, cataloging, and governance.
- Provide thought leadership on the evolution of enterprise analytics and data strategy.
- Support resolution of data incidents in collaboration onsite with LOB and technology partners.
- Mentor and coach junior team members on best practices and emerging tools.
- Ensure alignment of data solutions with KeyBank's technology roadmap and governance standards.
- Performs other duties as assigned; duties, responsibilities and/or activities may change or new ones may be assigned at any time with or without notice
- Complies with all KeyBank policies and procedures, including without limitation, acting professionally at all times, conducting business ethically, avoiding conflicts of interest, and acting in the best interests of Key's clients and Key.
- Training or certification in SQL, Python, or cloud platforms (preferred)
- Familiarity with data governance, data cataloging, and data lineage tools (preferred)
- SkillsThe process of examining, organizing, and interpreting data to uncover patterns, trends, and insights that support business decision-making.
- The ability to write and execute structured queries using languages like SQL to retrieve, manipulate, and analyze data from databases.
- Creating clear and effective visual representations of data—such as charts, graphs, and dashboards—to communicate insights and support storytelling.
- The use of tools, systems, and practices to transform raw data into meaningful insights that inform strategic and operational decisions.
- Applying policies, standards, and practices to ensure data quality, integrity, security, and compliance across the organization.
- Designing logical and physical data structures that define how data is stored, related, and accessed within systems to support reporting and analytics.
- Developing recurring and ad hoc reports that summarize data findings and provide actionable insights to business stakeholders.
- The ability to logically evaluate data, identify relationships, and draw conclusions to solve problems and support decision-making.
- Understanding and prioritizing the needs of internal and external clients when developing data solutions and delivering insights.
- Assisting in the planning, coordination, and execution of data-related projects, ensuring timely delivery and alignment with business goals.
- Effectively sharing information and working with cross-functional teams to solve problems, align on goals, and deliver results.
- Identifying issues, analyzing root causes, and developing practical solutions using data and critical thinking.
- Understanding how to work with cloud-based data platforms and tools, including data storage, processing, and analytics capabilities.
- Provide technical and development guidance to junior staff to build team capability.
- General Office - Prolonged sitting, ability to communicate face to face in person or on the phone with teammates and clients, frequent use of PC/laptop, occasional lifting/pushing/pulling of backpacks, computer bags up to 10 lbs.
- Work Location Category
- Hybrid (3+ days)
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
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A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
