Sr Business Intelligence Analyst - ERP (Hybrid)

Job Description:

Sr Business Intelligence Analyst - ERP (Hybrid)
Primary Duties & Responsibilities
JOB SUMMARY
Experience what being part of the Globe Life family feels like. Be inspired by your leaders, encouraged, and cheered on by your teammates to excel and be supported in your career while working with us. We offer a competitive salary with a great benefits package, including 401(K) match, medical, dental, and vision health plans, short - term and long-term disability, paid time off, tuition reimbursement and other career development opportunities.
The Senior BI Developer is responsible for delivering cross-functional reporting, data exploratory analysis via SQL/AWS Redshift, and hands-on development of highly visible visualization projects that create strategic and transformational value for Globe Life's core business organization. The role will interface with data engineering, business stakeholders, and portfolio leaders to modernize our technology platforms and deliver drilldown dashboarding capabilities. Highly experienced with proven acumen data visualization with SQL/scripting expertise, IT data analytics architecture, deployment scale methodologies across multiple cloud technologies and integrations of necessary risk controls. Through enablement, the role will enable rapid expansion of data self-service capabilities (training, discovery, collaboration, partnership, and ecosystems) across the organization.

PRIMARY DUTIES & RESPONSIBILITIES

• Expertise in data visualization and relevant methodologies; spearhead innovation in data and decision analytics.


• Package and present recommendations to the executive leadership team through a combination of reporting and advanced analytics


• Champion data visualization through development of Tableau


• Interact with cross functional portfolios to enhance gap capabilities, including the business architecture, processes, sub-capabilities required and target state.


• Hybrid (WFH/Remote - Monday and Friday) & (In MCK Office - Tuesday thru Thursday)

Required Skills
KNOWLEDGE, SKILLS, & ABILITIES

• 6+ years of experience of Tableau, SQL, and Data Lake architectures


• Deep understanding of data SQL, quantitative/statistical hypothesis analysis, and decision analytics, including full life-cycle development


• Experience with agile development tools, including Jira.


• Strong analytical and prioritization skills


• Financial service acumen & or experience to lead large cross functional initiatives


• Delivery of high-quality strategic large-scale projects.


• Self-directed, effective at prioritizing tasks, managing time, organizing people, and getting things done.


• Exceptional influencing skills with sound judgment and decision-making skills.


• Ability to communicate a compelling vision and inspire others to deliver on an ambitious, complex, global roadmap.


• Mastery in data transformation methodologies including SQL, scripting Python


• Experience with common machine learning methods for descriptive and predictive applications


• Willingness to travel.

Applicable to all employees of Globe Life & Accident and its subsidiaries:

• Reliable and predictable attendance of your assigned shift


• Ability to work full time and/or part time based on the position specifications.

Required Knowledge & Experience
EDUCATION & WORK EXPERIENCE REQUIRED

EDUCATION

• Advanced Degree (Masters) in Statistics, Physics, Mathematics, Finance, Econometrics, Operations Research, or other quantitative disciplines


• Bachelor of Science (BS) degree in a quantitative discipline with 6+ years strong relevant experience.

EXPERIENCE

• Experience developing complex statistical modeling for clinical program evaluation, and estimating impacts of various programs, interventions, and strategies on key clinical and business outcomes.


• Building applications on a cloud-native microservices architecture.


• Adept with agile software development lifecycle and DevOps principles, with special exposure to JIRA, GitLab and Jenkins.


• Being thorough about non-functional requirements such as scalability, availability, logging, monitoring etc.


• Familiar with large scale architecture design