Specialist, Analytics Engineer

As an Analytics Engineer, you will help build and support enterprise data solutions for Lincoln Financial’s Workplace Solutions Data Analytics & Reporting team. In this role, you will work with data from multiple business systems and help transform it into trusted, analytics-ready datasets that support reporting, dashboards, and business decision-making. You’ll partner with analysts, business stakeholders, solution architects, and developers to design data transformations, improve data quality, support data migration initiatives, and contribute to the development of an enterprise data mart. This role is ideal for someone early in their career who enjoys working with data, solving problems, and building solutions that make information easier to understand and use.

What you’ll be doing

Data Engineering & Integration

Develop and maintain data transformation and integration processes. Build and support data pipelines that move and prepare data for reporting and analytics. Analyze source system data and help standardize it for downstream consumption. Support data migration efforts involving legacy and modern platforms. Troubleshoot data issues and assist with root cause analysis.

Analytics & Data Modeling

Create and maintain analytics-ready datasets used for reporting and business analysis. Support the development of enterprise data marts and reporting solutions. Work with business partners to understand reporting and data requirements. Help document business rules, data definitions, and transformation logic. Contribute to efforts that improve data consistency and usability across reporting assets.

Data Quality & Governance

Perform data validation and reconciliation activities. Investigate data discrepancies and support issue resolution. Help implement data quality checks and monitoring processes. Maintain documentation related to data lineage, transformations, and reporting definitions.

Team Collaboration

Partner with analysts, business stakeholders, and technical teams to deliver data solutions. Participate in design discussions, code reviews, testing activities, and solution walkthroughs. Translate business requirements into development tasks and technical solutions. Follow established SDLC, change management, and development standards., 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.

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Data Science, Mathematics, Engineering, or a related field. 1-3+ years of experience in data analytics, data engineering, business intelligence, software development, or a related technical role. Experience writing SQL queries and working with relational databases. Familiarity with Python or another programming language used for data processing and automation. Experience working with structured datasets and performing data analysis. Strong analytical and problem-solving skills. Effective communication and collaboration skills.

Nice-to-haves: Experience building reports, dashboards, or analytical datasets. Experience with ETL or data integration concepts. Exposure to data warehouses, data marts, or dimensional modeling concepts. Experience with Business Objects, Tableau, or similar reporting tools. Familiarity with cloud platforms such as AWS, Azure, or GCP. Internship, co-op, academic project, or professional experience involving data pipelines or analytics solutions. Application Deadline

3.53.5 out of 5 stars Radnor, PA Hybrid work $55,700 - $100,200 a year, Pulled from the full job description

• Tuition reimbursement
• Parental leave
• Paid time off
• Employee assistance program, Applications for this position will be accepted through 9/1/2026 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 $55,700 - $100,200 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.

Lincoln Financial (NYSE: LNC) helps people to confidently plan for their version of a successful future. We focus on identifying a clear path to financial security, with products including annuities, life insurance, group protection, and retirement plan services.

With our 120-year track record of expertise and integrity, millions of customers trust our solutions and service to help put their goals in reach.

Lincoln Financial Distributors, a broker-dealer, is the wholesale distribution organization of Lincoln Financial. Lincoln Financial is the marketing name for Lincoln Financial Corporation and its affiliates including The Lincoln National Life Insurance Company, Fort Wayne, IN, and Lincoln Life & Annuity Company of New York, Syracuse, NY. Lincoln Financial affiliates, their distributors, and their respective employees, representatives and/or insurance agents do not provide tax, accounting or legal advice.

Lincoln is committed to creating an inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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If you are interested in a career at Lincoln, we encourage you to review our current openings and apply on our website. Lincoln values the privacy and security of every applicant and urges all applicants to diligently protect their sensitive personal information from scams targeting job seekers. These scams can take many forms including fake employment applications, bogus interviews and falsified offer letters.