Senior Analyst, Data Projects

Senior Analyst, Data Project (ERP Focus)

Please note that we do not offer visa sponsorship for this position.

At National Life Group we are in the process of transforming our approach to managing and using data. To maximize its value, it is critical that our data is timely, accurate, consistent, and well-defined throughout the organization. Success relies on strong commitment and collaboration from all areas of the organization, with the Data Team playing a key role in this transformation. In this role, you will have the opportunity to work with various teams across the data lifecycle and engage with senior and executive leadership throughout the organization.

This position currently offers an onsite work schedule, with the expectation that you are in the office four (4) days per week during onsite core days. Our current onsite core days are Monday, Tuesday, Wednesday, and Thursday.  The work schedule type and core days are subject to change with advance notification and manager discretion.

We are seeking a data enthusiast who thrives in transformative environments. You may also have experience in product ownership or product management.  The ideal candidate will embrace the culture of National Life – where servant leadership, upholding company values & applying learnings to performance are valued above all else.

As a key member of our data team, the Senior Analyst role will lead the execution of data-driven initiatives across the organization. A primary focus will be ownership of data work for a large-scale ERP implementation, as well as supporting transformational finance data migrations to our cloud data platforms. Key responsibilities include:

1. Data product ownership:
   • Oversee project scope and prioritization from discovery to delivery of data products, especially in the finance data domain.
   • Develop and manage a thoughtful and integrated project roadmap and backlog.
   • Present updates on incremental project deliveries to business partners and leadership audiences.
2. Project team leadership:
   • Lead the daily work of a cross-functional project team including data engineers, data architects, quality engineers, project managers, and business analysts.
   • Manage timelines, costs, resources, and scope as key measures of success.
   • Build team relationships to foster growth and mentorship.
3. Stakeholder collaboration:
   • Work closely with cross-functional teams (technical and non-technical) to understand business requirements, prioritize tasks, and deliver high-value data and analytics products.
   • Manage stakeholder relationships to effectively balance business needs with technical capabilities.
4. Thought leadership and strategy:
   • Collaborate with non-technical stakeholders to define project needs and effectively translate the product vision to technical teams.
   • Provide strategic guidance to business partners throughout the data lifecycle to promote a data-driven decision-making culture.
   • Contribute to the larger Data Team vision to enable data as a strategic asset across the organization.
5. Data governance and quality management:
   • Implement and champion data governance practices throughout projects to ensure data integrity, quality, and reliability across all data product deliveries.

 

Requirements & Qualifications: 

• Bachelor's degree in Math, Economics, Engineering, Computer Science, or a related quantitative field.
• 10+ years of combined post-secondary education and relevant work experience, with a focus on product management, data governance, data management, or data analytics.
• 8+ years of hands-on experience leading and executing enterprise projects in a product owner/manager role, with a proven track record of delivering on time, on budget, in scope, and with high adoption of final product. Data cloud migration experience is a plus.
• Prior involvement in large-scale ERP transformations, especially managing data dependencies, cross-functional workflows, and other supporting data and reporting activities is preferred.
• Hands-on experience with Databricks or other cloud-based data analytics platforms (e.g., Snowflake, AWS Redshift).
• Strong communication skills, with the ability to explain complex technical concepts and solutions to non-technical audiences clearly and effectively.

• Proven ability to work across cross-functionally across departments and communicate with various stakeholders to gather requirements and drive project success.
• Analytical mindset with experience in solving complex problems and deriving effective solutions. Ability to independently navigate ambiguity in decision making.

• Experience in data modeling and designing data structures to optimize business insights and value is a plus.
• Experience using business intelligence tools like Tableau and Alteryx for data visualization and analysis is preferred.
• Proficiency in coding languages such as SQL, Python, Pyspark, etc. is preferred.

 AI Proficiency Expectations

At National Life Group, we view AI as an enabler of human potential. We use AI to help us work smarter, serve more clients, and keep our promises, while remaining a relationship-driven business where our people are our greatest strength.

All applicants are expected to:

• Leverage approved AI tools, where appropriate, to improve the efficiency, quality, and impact of their work.
• Stay curious and open to new AI-enabled ways of working.
• Exercise sound judgment by reviewing and validating AI-generated content.
• Maintain accountability for the accuracy, quality, fairness, and integrity of work products by adhering to National Life’s AI guiding principles.
• Use AI responsibly and in accordance with company policies related to confidentiality, data privacy, security, compliance, retention and intellectual property.

Benefits

• Your benefits start day one and are flexible and customizable to your and your family’s specific needs. Check out the BENEFITS of a Career at National Life!