Senior Analyst, Data Projects

Nationallifeinsurancecompany

Addison (TX)

On-site

USD 106,875 - 156,750

Full time

14 days+

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Benefits offered by this job

Flexible and customizable benefits
401(k) eligibility
Paid time off benefits

Job summary

The Nationallifeinsurancecompany is seeking a Senior Analyst for Data Project (ERP Focus) in Addison, Texas. This role is pivotal in leading data-driven initiatives, with a primary focus on a large-scale ERP implementation.

Success in this role requires collaboration with cross-functional teams, strong leadership skills, and a solid background in data governance and management. Ideal candidates will have over 10 years of experience in product management and hands-on expertise with cloud data platforms.

The position offers an annual salary range from $106,875 to $156,750 and involves an onsite work schedule.

Qualifications

  • 10+ years of relevant work experience focused on product management and data analytics.
  • 8+ years leading enterprise projects as a product owner/manager.
  • Hands-on experience with cloud platforms, preferably Databricks.

Responsibilities

  • Oversee project scope and prioritization for data products.
  • Lead a cross-functional project team.
  • Collaborate with technical and non-technical stakeholders.

Skills

Cloud data platforms like Databricks
Data governance
Product management
Communication skills
Analytical mindset

Education

Bachelor’s degree in Math, Economics, Engineering, Computer Science, or a related field

Tools

SQL
Python
Tableau
Alteryx

Job description

Senior Analyst, Data Project (ERP Focus)

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 work with various teams across the data lifecycle and engage with senior and executive leadership throughout the organization.

This position offers an onsite work schedule. You are expected to be in the office four (4) days per week during core days (Monday–Thursday). The schedule and core days are subject to change with advance notification.

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 embraces the culture of National Life—where servant leadership, upholding company values, and 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.

Responsibilities
  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 the final product.
  • Prior involvement in large‑scale ERP transformations, especially managing data dependencies, cross‑functional workflows, and other supporting data and reporting activities.
  • 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 (preferred).
  • Experience using business intelligence tools like Tableau and Alteryx for data visualization and analysis (preferred).
  • Proficiency in coding languages such as SQL, Python, PySpark, etc. (preferred).
Benefits
  • Your benefits start day one and are flexible and customizable to your and your family’s specific needs.

Base Pay Range. The base pay range for this position is the range National Life reasonably and in good faith expects to pay for the position taking into account the wide variety of factors, including prior experience and job‑related knowledge; education, training and certificates; current business needs; and market factors. The final salary or hourly wages offered may be outside of this range based on other reasons and individual circumstances.

Additional Compensation and Benefits. The total compensation package for this position may also include a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. The successful candidate may also be eligible to participate in National Life’s discretionary annual incentive programs, subject to the rules governing such programs. If hired, the employee will be in an “at‑will” position and National Life reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time.

Salary Pay Range: $106,875 — $156,750 USD

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