Data Analyst

SS&C Technologies, Inc.
parental leave, paid time off, 401(k), stock options
United States, New York, New York
Apr 07, 2026
As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. Job Description Job TitleData Analyst Locations: Jacksonville, FL, New York, NY, Chicago, IL, Boston, MA \| Hybrid About the Role SS&C Advent delivers financial technology solutions and services to financial services clients in the asset management, wealth management, and alternative investment space around the globe. This role owns endtoend data science projects, applying advanced analytics, machine learning, and statistical modeling to solve complex business problems. The individual translates data into actionable insights, contributes to the analytics roadmap, and helps build scalable data science infrastructure while collaborating closely with stakeholders Why Join SS&C SS&C combines proprietary technology with deep industry expertise to support complex financial and health care operations. Our teams design, implement, and operate solutions that help clients manage data, automate processes, and scale their businesses with confidence. You will work with industry experts, modern platforms, and evolving technologies, gaining exposure to real-world operational challenges and large-scale enterprise environments. How You Will Make an Impact Manage and execute entire project from start to finish (problem solving, data gathering, data manipulation, predictive modeling, and key stakeholder engagement) Demonstrate technical knowledge on feature engineering, effective exploratory data analysis, and building statistical models Implement code (Python, R, Scala, SQL, etc.) for analyzing data and building machine learning and econometric models to solve specific business problems Translate analytic insights into actionable recommendations Contribute to the scientific roadmap Research, learn, and adapt new modeling techniques and procedures to solve complex business problems Build a common data science infrastructure that will house statistical models and enable scientists to run experiments on a large variety of project Produce and maintain technical documents Required Experience Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field; or data science practitioner for 3+ years Solid experience in descriptive analytics (reporting, querying, scorecards, dashboard building, visualization, presentations, etc.) Experience in data mining and data engineering techniques (gathering, preparing, cleansing, and transforming data) to find patterns and build models 2+ years of experience in predictive analytics (statistical data modeling, predicting what customers would do, how customers would respond to marketing campaigns, how client experience would improve, etc.) Experience in supervised methods (classification, regression, causal modeling) and unsupervised methods (clustering, co-occurrence grouping, profiling) Experience programming in R, Scala, Python (Django, Flask, Pyramid, etc.), or similar languages and maintaining code repositories Experience formulating and testing hypotheses using tools like Jupyter notebooks, R, Julio, etc. Create prototype machine learning or statistical models using open-source packages, such as SciKit Learn, PyTorch, Tensorflow, Stan, or equivalent What Sets You Apart (preferred qualifications) Experience in building prescriptive analytics (optimization, randomized test, designing experiments, simulations, finding optimum price, etc.) Experience in building business intelligence automation using platforms such as Snowflake, Salesforce, QuickSight, Tableau, or similar Working knowledge of optimizers (i.e. Gurobi) or solvers (GLPK, LP_Solve) Previous experience integrating multiple applications and data APIs Knowledge of software development life cycle (coding standards, code reviews, source control, build processes, testing, and operations) Familiarity with front-end technologies such as HTML5 and JavaScript Leadership skills and ability to work well with others Join SS&C, where innovation meets global opportunities. Click here to apply. #LI-MG2 #CA-MG #LI-Hybrid Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity. Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location. New York: The expected base salary for the position is between 90,000 USD to 110,000 USD. Other States expected base salary for the position is between 90,000 USD to 110,000 USD. Illinois: The expected base salary for the position is between 90,000 USD to 110,000 USD. Massachusetts: The expected base salary for the position is between 90,000 USD to 110,000 USD. In addition, employees in this role may be eligible for consideration on an annual basis for a discretionary bonus and/or equity awards, such as restricted stock units or stock options, based upon individual and business performance at the company's discretion. Applications will be accepted on an ongoing basis until the position is filled. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.