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Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! The Risk Process Analyst is responsible for supporting the development and execution of capabilities that include models, analytical tools, and tests used for risk management. Key responsibilities include obtaining an understanding of Bank-wide processes, including their risks, underlying data, and process steps, and using that knowledge to build capabilities for the Front Line Units/Control Functions to better manage their risk and operational effectiveness. This role supports other risk analysts and managers to complete a set of task aligned to risk and data management. Job Description Summary Bank of America’s Global Risk Management business is looking for a Risk Process Analyst in the Market Behavior Analytics group within Global Risk Analytics. This group is responsible for developing surveillances and other sophisticated controls over activities in our Global Markets business. These controls detect potentially suspicious activities and patterns of behavior. Building these controls requires knowledge of big data techniques, ability to architect systems that can efficiently scale to hundreds of billions of data points per day, machine learning over unstructured and structured data, graph analytics, and experience with building UI for data rich applications. Key responsibilities include: <ul> <li>Understanding financial data: schemas, flow, size, data issues, data controls, etc.</li> <li>Building performant big data pipelines that are the backbone of building large scale surveillance systems.</li> <li>Building surveillance models using sophisticated modeling techniques including machine learning and AI.</li> <li>Testing the efficacy of surveillances using advanced modeling techniques.</li> </ul> Required Skills: <ul> <li>Successful candidates will have a Bachelor’s or Master’s degree in computer science or related disciplines.</li> <li>Ability to analyze and find interesting patterns in data with at least one of the following:</li> <li>Implement distributed algorithms on large amounts of data using Big Data, batch and streaming technologies like Hadoop, Spark, Flink, Kafka etc.</li> <li>Build user facing UI applications over large amounts of data using technologies like React, Angular, JavaScript etc.</li> <li>Knowledge and working experience with SQL and NoSQL databases such as MongoDB, HBase, Cassandra, Oracle etc. to process large scale data.</li> <li>Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences</li> <li>Ability to effectively present findings, data, and conclusions to members of the team and management.</li> <li>Ability to operate independently with guidance to deliver sub tasks and the ability to participate in group settings.</li> <li>0-2 years of relevant experience in software engineering in Quantitative Finance or other industries.</li> </ul> Preferred skills: <ul> <li>Knowledge and experience in machine learning / AI models</li> <li>Knowledge and experience with financial data sets</li> <li>Ability to code proficiently in at least one programming language like Python or Java.</li> <li>Proficiency in SQL and in at least one NoSQL data store.</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Bank of America

Risk Process Analyst - Market Behavior Analytics

Salary Range $96,000 - $125,000*Job Description:Saks is a world-renowned luxury ecommerce destination. The company’s unique approach combines a focus on the digital customer experience with a strong connection to a network of extraordinary stores that extends that seamless experience into the real world.On its website and app, Saks offers an unparalleled selection of curated merchandise across fashion for women and men, beauty, jewelry, home décor and more. In addition to the shopping experience, customers come to Saks for inspiring editorial content, access to digital stylists, lifestyle experiences and other world-class services.As the Manager of Procurement Analytics in Strategic Sourcing and Procurement (SS&amp;P), you will lead an onshore and offshore team of category analysts that support the strategic sourcing team through data-driven insights. You will build and rapidly mature this new capability in addition to supporting the daily needs for high quality insights to drive procurement outcomes. You will lead and develop your team, establish a data and process foundation and build stakeholder relationships. Your work will positively impact bottom-line results, minimize risks and foster internal and external relationships. You will report to the SS&amp;P Director of Shared Services. Role Description<ul> <li>Create a culture where facts and data are treated as an asset that helps accelerate procurement outcomes </li> <li>Establish a roadmap to build out the procurement analytics capability </li> <li>Provide guidance &amp; thought leadership to the team to support their development of advanced analyses and insights </li> <li>Build relationships across the strategic sourcing team and other stakeholders to foster collaboration and service delivery </li> <li>Partner with strategic sourcing leaders and team members to align on needs, priorities and adoption </li> <li>Lead a team of onshore and offshore procurement analysts by providing guidance, mentorship and performance feedback </li> <li>Create high impact analyses and presentations leveraging spend, market, contract and supplier performance data </li> </ul>Key Qualifications<ul> <li>Bachelor's degree in supply chain, business administration, finance, statistics, data science, or related field </li> <li>5+ years of experience in analytics, procurement, category management or strategic sourcing </li> <li>Strong expertise in Microsoft Excel, Power BI, Tableau or other data analysis and visualization tools </li> <li>Experience with procurement and/or ERP systems (Workday, SpendHQ, etc.) </li> <li>Expertise in data models and data relationships to facilitate analytics </li> <li>Ability to influence outcomes using strong verbal and written communication skills as well as relationships </li> <li>Intellectual curiosity and desire to learn </li> </ul>Your Life and Career at Saks: <h3>● Exposure to rewarding career advancement opportunities</h3><h3>● A culture that promotes a healthy, fulfilling work/life balance</h3><h3>● Benefits package for all eligible full-time employees (including medical, vision and dental).</h3><h3>● An amazing employee discount</h3>Thank you for your interest with Saks. We look forward to reviewing your application. <h3>Saks provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Saks complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.</h3><h3>Saks welcomes all applicants for this position. Should you be individually selected to participate in an assessment or selection process, accommodations are available upon request in relation to the materials or processes to be used. </h3>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Saks.com is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. *The above expected salary range may have some variability based upon factors including, but not limited to, a candidate’s overall experience, qualifications, and geographic location. If you are interested in the role, we encourage you to apply and, if selected to move forward in the interview process, you will have a chance to speak with our recruitment team regarding your specific salary expectations.

Saks Fifth Avenue

Manager, Procurement Analytics

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Position SummaryWe are seeking a highly analytical and detail-oriented Data Analyst to join our Special Investigation Unit within a leading health insurance organization. This role is ideal for a data professional with strong skills in SQL and Python who can transform complex healthcare data into actionable insights to support fraud, waste, and abuse (FWA) detection and Medicaid regulatory &amp; compliance reporting. This is an individual contributor role. Job responsibilities include:<ul> <li>Write robust, efficient code in SQL and Python to extract, manipulate, and analyze large healthcare datasets.</li> <li>Design, develop, and maintain complex data analyses to support investigations of potential fraud, waste, and abuse in Medicaid claims and provider activity.</li> <li>Prepare timely and accurate Medicaid regulatory &amp; compliance reports in accordance with prescribed guidelines and standards.</li> <li>Communicate messages based on data analyses, including preparing easy-to-understand visualizations and other related documents for diverse audiences </li> <li>Collaborate with SIU investigators, Program Integrity Manager, and Compliance to understand business processes and translate them into actionable data requirements.</li> <li>Develop and participate in presentation and consultation with business partners on data, capabilities and performance results</li> <li>Identify data quality issues, perform root cause analysis, and recommend improvements to enhance reporting accuracy and data integrity.</li> <li>Document data logic and methodology used in analyses and ensure reproducibility and transparency of results.</li> <li>Stay informed about changes in Medicaid policy, regulatory requirements, and FWA detection techniques to ensure ongoing compliance.</li> </ul>This is a work-from-home position in the US. supporting standard east coast business hours. Required Qualifications<ul> <li>3+ years of experience in data analytics or data science, preferably in healthcare, health insurance, or Medicaid programs</li> <li>Ability to distill complex data into meaningful insights and present findings to non-technical audiences.</li> <li>Solid understanding and experience interpreting medical claim data</li> <li>Advanced experience in SQL coding sourcing from a data warehouse</li> <li>3+ years of data interpretation and analysis experience</li> <li>3+ years of project leadership experience</li> <li>Strong business as well as systems knowledge</li> <li>Excellent problem-solving, critical thinking, and written communication skills</li> <li>Advanced experience in Excel </li> </ul> Preferred Qualifications<ul> <li>Experience in healthcare fraud, waste and abuse </li> <li>Proficiency in Python coding</li> <li>Knowledge of Medicaid healthcare claims adjudication (QNXT) &amp; regulatory reporting</li> <li>Experience with data visualization tools (e.g., Tableau, Power BI</li> <li>Familiarity with Big Query &amp; Jupyter Notebook</li> </ul> Education<ul><li>Bachelor’s degree or equivalent experience</li></ul>Anticipated Weekly Hours40Time TypeFull timePay RangeThe typical pay range for this role is:$54,300.00 - $145,860.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul> <li>Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li> <li>No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li> <li>Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li> </ul>For more information, visit <a href="https://jobs.cvshealth.com/us/en/benefits" target="_blank">https://jobs.cvshealth.com/us/en/benefits</a>We anticipate the application window for this opening will close on: 06/30/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

CVSHealth

Manager, SIU Data Analysis (SQL/Python)

<h2> This is Data Science at Lattice </h2> As a Data Engineer on our Data Science team, you will play a pivotal role in designing, building, and optimizing our data infrastructure to support data-driven decision-making across the organization. You will collaborate closely with data scientists, analysts, and other stakeholders to deliver high-quality data solutions that meet business needs. Your responsibilities will include writing production-level data transformations, managing ETL processes, and ensuring the performance and reliability of our data warehouse. With your expertise in SQL, Python, and data orchestration tools like Airflow, you will drive best practices and contribute to the velocity of our team and the continuous improvement of our tech stack. <h2>What You Will Do</h2> <ul> <li>Write production-level data transformations to support stakeholders across data and business intelligence applications</li> <li>Create documentation and testing to ensure that our data is accurate and easily understandable</li> <li>Maintain and optimize performance of our data warehouse by designing efficient tables and storage processes</li> <li>Share methodologies and instruct other data team members on how to best write data transformations</li> <li>Collaborate with cross-functional teams to support data-driven initiatives and projects.</li> <li>Discover and institute best practices to ensure data quality across all facets of the data team</li> <li>Research and implement new tooling to enhance our tech stack</li> <li>Manage our ETL and other orchestrated processes through third party tools and first-party tools such as Airflow</li> <li>Enforce code quality by identifying and reducing tech debt, standardizing styles, and removing deprecated objects from code and downstream locations</li> <li>Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions</li> </ul> <h2>What You Will Bring to the Table</h2> <ul> <li>Fluency in SQL and dbt </li> <li>Proficiency in Python</li> <li>Experience with git and cloud platforms (e.g. AWS)</li> <li>Knowledge of data orchestration tools like Airflow, Prefect, or Dagster</li> <li>Excellent communication and collaboration skills</li> <li>High attention to detail and ability to think structurally about a solution </li> <li>Experience with a BI Tool (preferably Looker)</li> </ul> The estimated annual cash salary for this role is $123,000 - $154,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&amp;D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter &amp; Parking Accounts; Lunches in the Office; Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning &amp; Development Budget; Sabbatical Program; and Invest in Your People Fund *Note on Pay Transparency: Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law. <h2>About Lattice</h2> Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning 🏅– and Lattice is building the tools to empower those people-centric companies. Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line 📈. Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto. Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with<a href="https://lattice.com/privacy/job-applicant-privacy-policy" target="_blank">Lattice's Job Applicant Privacy Policy</a>.

16 Data Science Jobs in Hartford, CT, USA