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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analyst, Actuarial Data Engineer - **Company:** Lincoln National Corporation - **Location:** Charlotte, NC, United States - **Experience:** Experienced - **Salary:** $72,900.0 - $131,600.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Business Process Modeling, Data Warehousing, R (Programming Language), Apache Hive, Python (Programming Language), SAS (Software), SQL Databases, Tableau (Software), Apache Spark, Information Technology, Vba Programming Language, Data Analytics, Dataiku - **Published:** May 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=be5bcc6b430c2ea0 ## About the Role Do you have experience in VBA?, * Undergraduate degree in Actuarial Science, Applied Mathematics, Statistics, Economics, Computer Science, Data Science or Data Analytics or other quantitative major * 3-5+ Years' experience that aligns with the specific responsibilities for this position. Nice-to-haves: * FSA designation or ASA designation with additional years of actuarial experience. * Demonstrates strong interpersonal skills with a collaborative style * Curiosity and demonstrated capability to quickly learn new concepts * Self-starter, Innovative, Problem Solver ## Description As an Analyst, Actuarial Data Engineer, you will lead the design and implementation of new technology solutions of the Actuarial Architecture & Transformation team. You will develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position provides a broad range of experiences and responsibilities, allowing for growth. What you'll be doing Technology partner * Partner with stakeholders to understand data & analytics needs * Translate business requests into technical requirements * Upskill team members with emerging technology tools Solutions architect * Design solutions to enhance reporting and analytic capabilities * Centralize and standardize data from various sources * Demonstrate new capabilities of the solution with proof-of-concept builds * Leverage modern data science techniques to improve accuracy and efficiency of models Automation * Develop automated solutions to streamline processes * Help transition manual deliverables to automated reports * Increase transparency, efficiency, and governance of processes Documentation * Maintain robust process and production documentation * Document changes and follow change management procedures, Modern Data & Analytics Technology such as Dataiku, Tableau, AWS, Spark Coding with SQL, Hive, Python/R, SAS, VBA, etc. Application Deadline Applications for this position will be accepted through 8/1/26 subject to earlier closure due to applicant volume. What's it like to work here? At Lincoln Financial, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future. What's in it for you: * Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes * Leadership development and virtual training opportunities * PTO/parental leave * Competitive 401K and employee benefits * Free financial counseling, health coaching and employee assistance program * Tuition assistance program * Work arrangements that work for you * Effective productivity/technology tools and training, The pay range for this position is $72,900 - $131,600 with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by applicable law. Pay is based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln's total rewards package for employees. In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual. Other rewards may include long-term incentives, sales incentives and Lincoln's standard benefits package., This position may be subject to Lincoln's Political Contribution Policy. An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincoln's current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities. Any unsolicited resumes or candidate profiles submitted through our web site or to personal e-mail accounts of employees of Lincoln Financial are considered property of Lincoln Financial and are not subject to payment of agency fees. Lincoln Financial ("Lincoln" or "the Company") is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex, age, national origin or disability. Opportunities throughout Lincoln are available to employees and applicants are evaluated on the basis of job qualifications. If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling 260-455-2558. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base](https://www.wearedevelopers.com/videos/6-anomaly-detection-using-unsupervised-machine-learning-for-detecting-anomalies-in-customer-base) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Building the platform for providing ML predictions based on real-time player activity](https://www.wearedevelopers.com/videos/944-building-the-platform-for-providing-ml-predictions-based-on-real-time-player-activity) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)