Data analyst jobs in Pittsburgh, PA

We are seeking a versatile Business Analyst to support both functional and technology projects in an Agile environment. The ideal candidate will collaborate with business stakeholders and technical teams to capture requirements, define solutions, and ensure the successful delivery of projects that meet business objectives. Key Responsibilities: Partner with business stakeholders to gather, analyze, and document requirements for both functional and technology initiatives. Translate business needs into user stories, acceptance criteria, and functional specifications. Collaborate with Scrum teams, product owners, developers, and QA to ensure requirements are clearly understood and implemented. Participate in backlog grooming, sprint planning, and daily stand-ups in Agile projects. Identify process improvements, system enhancements, and integration opportunities. Support testing activities, including reviewing test cases, validating results, and coordinating user acceptance testing (UAT). Create reports, dashboards, and metrics to track project progress and business outcomes. Communicate effectively with technical and non-technical stakeholders to drive alignment and decisions. Required Skills & Qualifications: Bachelor's degree in Business, Information Technology, or a related field. 3-5 years of experience as a Business Analyst supporting both functional and technology projects. Experience working in Agile/Scrum environments; familiarity with Agile ceremonies and processes. Strong analytical, problem-solving, and critical-thinking skills. Experience creating user stories, acceptance criteria, business requirements documents (BRDs), and functional specifications. Proficiency with tools such as Jira, Confluence, Microsoft Office Suite, or equivalent. Excellent verbal and written communication skills; able to interact effectively with stakeholders at all levels. Preferred Skills: Experience with process modeling, workflow documentation, and technology system integration. Knowledge of reporting and analytics tools (e.g., Excel, Power BI, Tableau). Professional certifications such as CBAP, PMI-PBA, or Agile certifications. Prior experience in financial services Why Work for ConsultUSA: ConsultUSA offers competitive salaries, major medical (PPO or HDHP w/ HSA), dental, and vision insurance plans, and 401k plan with immediate eligibility for both salary and hourly employees ConsultUSA hosts several outings and events, holiday and summer parties, and volunteer opportunities throughout the year for employees We will work with you to obtain training for in-demand technologies and prepare you for industry-recognized certification exams ConsultUSA offers Business Analysis and Project Management training through our Project Management Institute (PMI) award-winning sister company, PMCentersUSA How to Apply: To submit your application, please click the “Apply Now” button located at the top and bottom of the page. ConsultUSA is committed to providing equal employment opportunities (EEO) to all qualified employees and applicants for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, genetic information, marital status, pregnancy, ancestry, or status as a covered veteran as well as any other prohibited criteria under any applicable federal, state, and local laws applicable to ConsultUSA. For a complete listing of all ConsultUSA jobs please visit ******************

Machine Learning Data Scientist Length: 6 Month Contract to Start * Please no agencies. Direct employees currently authorized to work in the United States - no sponsorship available.* Job Description: We are looking for a Data Scientist/Engineer with Machine Learning and strong skills in Python, time-series modeling, and SCADA/industrial data. In this role, you will build and deploy ML models for forecasting, anomaly detection, and predictive maintenance using high-frequency sensor and operational data. Essential Duties and Responsibilities: Develop ML models for time-series forecasting and anomaly detection Build data pipelines for SCADA/IIoT data ingestion and processing Perform feature engineering and signal analysis on time-series data Deploy models in production using APIs, microservices, and MLOps best practices Collaborate with data engineers and domain experts to improve data quality and model performance Qualifications: Strong Python skills Experience working with SCADA systems or industrial data historians Solid understanding of time-series analytics and signal processing Experience with cloud platforms and containerization (AWS/Azure/GCP, Docker) POST-OFFER BACKGROUND CHECK IS REQUIRED. Digital Prospectors is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Digital Prospectors affirms the right of all individuals to equal opportunity and prohibits any form of discrimination or harassment. Come see why DPC has achieved: 4.9/5 Star Glassdoor rating and the only staffing company (< 1000 employees) to be voted in the national Top 10 ‘Employee's Choice - Best Places to Work' by Glassdoor. Voted ‘Best Staffing Firm to Temp/Contract For' seven times by Staffing Industry Analysts as well as a ‘Best Company to Work For' by Forbes, Fortune and Inc. magazine. As you are applying, please join us in fostering diversity, equity, and inclusion by completing the Invitation to Self-Identify form today! ******************* Job #18135

West View Water Authority, located in West View, Pennsylvania, provides high-quality water services to 32 municipalities and over 200,000 residents across Allegheny, Beaver, and Butler Counties. The Authority is committed to ensuring reliable and safe water supply to primarily residential communities. West View Water Authority Position Description Job Title: Business Systems Analyst Department: IT Department Supervisor: Information Systems Manager Job Summary Designs, develops, and implements new content and web functionality. Maintains website and related server and network infrastructure. Maintains, operates, administers, and supports Authority systems and software. Lead projects relating to planning, operation, maintenance, implementation, and documentation of the Authority's information systems. Manages user access, system configurations, and data integrations while developing reports and analytics to support informed decision-making across all organizational departments. Specific Duties: 1. Administer and maintain Authority business systems including Enterprise Resource Planning (ERP), Human Resources (HR), Automated Meter Reading (AMR), and Computerized Maintenance Management System (CMMS). 2. Manage system configurations, user accounts, permissions, and security roles across all business applications to ensure appropriate access control. 3. Collaborate with end users to analyze business processes, identify improvement opportunities, and gather system requirements. 4. Provide training and ongoing support to Authority personnel regarding business system functionality, workflow processes, and effective report utilization. 5. Maintain relationships with vendors to support the operations and development of the Authority's information systems. 6. Participate in system testing initiatives for upgrades and new implementations, including development of test plans and coordination of user acceptance testing activities. 7. Develop and maintain reporting using both systems' built-in reporting tools and reporting software such as Microsoft Power BI. 8. Conduct data quality assessments, identify data inconsistencies, and implement data cleansing and validation procedures. 9. Develop Excel-based reports utilizing advanced functions, pivot tables, data models, and macros for business data analysis. 10. Develop and maintain comprehensive documentation for all business systems including user guides, process workflows, standard operating procedures, and system configuration specifications. 11. Performs other related duties as assigned. The intent of this job description is to provide a representative summary of the major duties and responsibilities performed by the incumbents of the job. Incumbents may be required to perform job-related tasks other than those specifically presented in this description. Qualifications and Job Requirements To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education and/or Experience Bachelor's Degree (B.S.) from a four-year college or university in Computer Science; with five to seven years of related experience and/or training; or equivalent combination of education and experience. Experience with enterprise resource planning system administration and business process analysis is required. Experience with AMR and CMMS platforms as well as reporting tools like Microsoft Power BI are preferred. Language Skills Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, and government regulations. Ability to write reports, business correspondence, procedure manuals, and run books. Ability to effectively present information and respond to questions from managers, employees, and the public. Mathematical Skills Basic business math skills are required. Ability to work with mathematical concepts such as probability, statistical inference, plane and solid geometry, trigonometry, and algebra. Ability to apply concepts such as fractions, percentages, and proportions to practical situations. Reasoning Ability Ability to solve practical problems and deal with a variety of variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, schematic, or schedule form. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is frequently required to sit. The employee is frequently required to use hands to finger, handle, or feel objects, tools, or controls; and reach with hands and arms; and talk or hear. The employee is occasionally required to stand, walk, stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Work Environment The work environment described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is occasionally exposed to the risk of electrical shock. The noise level in the work environment is usually quiet. This is an in-office position.

Duquesne Light Company, headquartered in downtown Pittsburgh, is a leader in providing electric energy and has been in the forefront of the electric energy market, with a history rooted in technological innovation and superior customer service. Today, the company continues its role as a leader in the transmission and distribution of electric energy, providing a secure supply of reliable power to more than half a million customers in southwestern Pennsylvania. Duquesne Light Company is committed to creating a culture of inclusion. We value and respect the unique differences and experiences of our employees. We believe that our differences lead to better collaboration, innovation and outcomes. We want you to join our team! The role of Cloud Data Architect I is to expand the company's use of data as a strategic enabler of corporate goals and objectives. The Cloud Data Architect will achieve this by strategically designing, developing, and implementing data models for data stored in enterprise systems/platforms or curated from 3rd parties and provide accessible, availability for business consumers to analyze and gain valuable insights. This individual will act as the primary advocate of data modeling best practices and lead innovation in adopting and leveraging cloud data technologies to accelerate adoption. Overtime & on-call availability as required. Location: Hybrid (two days per week in office), downtown Pittsburgh, Pennsylvania Responsibilities: Strategy & Planning Develop and deliver long-term strategic goals for data architecture vision and standards with data users, department managers, business partners, and other key stakeholders. Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap. Collaborate with third parties and business subject matter experts to enable company strategic imperatives that require secure and accessible data cloud capabilities or assist in curating data required to enrich models. Collaborate with IT Enterprise Architecture, Enterprise Platforms, Business Intelligence, Data Engineering, Data Quality and Data Governance stakeholders to: Develop processes for governing the identification, collection, and use of corporate metadata; Take steps to assure metadata accuracy and validity. Track data quality, completeness, redundancy, and improvement. Conduct cloud consumption cost forecasting, usage requirements, proof of concepts, proof of business value, feasibility studies, and other tasks. Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. Ensure that data strategies and architectures are in regulatory compliance. Acquisition & Deployment Liaise with vendors, cloud providers and service providers to select the solutions or services that best meet company goals. Operational Management Develop and promote data management methodologies and standards. Select and implement the appropriate tools, software, applications, and systems to support data technology goals. Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. Collaborate with scrum masters, project managers, and business unit leaders for all projects involving enterprise data. Address data-related problems in regard to systems integration, compatibility, and multiple-platform integration. Act as a leader and advocate of data management, including coaching, training, and career development to staff. Develop and implement key components as needed to create testing criteria to guarantee data architecture's fidelity and performance. Document the data architecture and environment to maintain a current and accurate view of the larger data picture. Identify and develop opportunities for data reuse, migration, or retirement. Act as a technical leader to the organization for Data Architecture and Data Engineering best practices. Education/Experience: Bachelor's degree in computer science, information systems, computer engineering, or relevant discipline Twelve (12) or more years of experience is required. Advanced degrees in a related field preferred. Relevant professional certifications preferred. Knowledge & Experience Utilities experience (oil, gas, and/or electric) strongly preferred. Five (5) or more-years' work experience as a data or information architect. Hands-on experience with data architecting, data mining, large-scale data modeling, cloud data storage and analytics platforms. Experience with Azure, AWS or Google data capabilities. Experience with Databricks, Synapse, Foundry, Power BI, and/or Snowflake preferred. Experience with Enterprise platforms such as Oracle, Maximo etc preferred Direct experience in implementing data solutions in the cloud. Strong understanding of relational data structures, theories, principles, and practices. Strong familiarity with metadata management and associated processes. Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools. Demonstrated expertise with repository creation, and data and information system life cycle methodologies. Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on. Ability to manage data and metadata migration. Experience with database platforms, including Oracle RDBMS. Experience with GIS Geo-Spatial Data, time-phased PI Historian or collector data preferred. Understanding of Web services (SOAP, XML, UDDI, WSDL). Object-oriented programming experience (e.g. using Java, J2EE, EJB, .NET, WebSphere, etc.). Excellent client/user interaction skills to determine requirements. Proven project management experience. Good knowledge of applicable data privacy practices and laws. Storm Roles All Non-Union Employees will serve in storm roles as appropriate to their role and skillset. EQUAL OPPORTUNITY EMPLOYER Duquesne Light Holdings is committed to providing equal employment opportunity to all people in all aspects of the employment relationship, without discrimination because of race, age, sex, color, religion, national origin, disability, sexual orientation and gender identity or status as a Vietnam era or special disabled veteran or any other unlawful basis, as defined by applicable law, and fostering a workplace free of unlawful discrimination and retaliation. This policy affects decisions including, but not limited to, hiring, compensation, benefits, terms and conditions of employment, opportunities for promotion, transfer, layoffs, return from a layoff, training and development, and other privileges of employment. An integral part of Duquesne Light Holdings' commitment is to comply with all applicable federal, state and local laws concerning equal employment and affirmative action. Duquesne Light Holdings is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at *************** and describe the specific accommodation requested for a disability-related limitation.

As an IoT Data Engineer at CurvePoint, you will design, build, and optimize the data pipelines that power our Wi-AI sensing platform. Your work will focus on reliable, low-latency data acquisition from constrained on-prem IoT devices, efficient buffering and streaming, and scalable cloud-based storage and training workflows. You will own how raw sensor data (e.g., wireless CSI, video, metadata) moves from edge devices with limited disk and compute into durable, well-structured datasets used for model training, evaluation, and auditability. You will work closely with hardware, ML, and infrastructure teams to ensure our data systems are fast, resilient, and cost-efficient at scale. Duties and Responsibilities Edge & On-Prem Data Acquisition Design and improve data capture pipelines on constrained IoT devices and host servers (limited disk, intermittent connectivity, real-time constraints). Implement buffering, compression, batching, and backpressure strategies to prevent data loss. Optimize data transfer from edge → on-prem host → cloud. Streaming & Ingestion Pipelines Build and maintain streaming or near-real-time ingestion pipelines for sensor data (e.g., CSI, video, logs, metadata). Ensure data integrity, ordering, and recoverability across failures. Design mechanisms for replay, partial re-ingestion, and audit trails. Cloud Data Pipelines & Storage Own cloud-side ingestion, storage layout, and lifecycle policies for large time-series datasets. Balance cost, durability, and performance across hot, warm, and cold storage tiers. Implement data versioning and dataset lineage to support model training and reproducibility. Training Data Enablement Structure datasets to support efficient downstream ML training, evaluation, and experimentation. Work closely with ML engineers to align data formats, schemas, and sampling strategies with training needs. Build tooling for dataset slicing, filtering, and validation. Reliability & Observability Add monitoring, metrics, and alerts around data freshness, drop rates, and pipeline health. Debug pipeline failures across edge, on-prem, and cloud environments. Continuously improve system robustness under real-world operating conditions. Cross-Functional Collaboration Partner with hardware engineers to understand sensor behavior and constraints. Collaborate with ML engineers to adapt pipelines as model and data requirements evolve. Contribute to architectural decisions as the platform scales from pilots to production deployments. Must Haves Bachelor's degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience). 3+ years of experience as a Data Engineer or Backend Engineer working with production data pipelines. Strong Python skills; experience building reliable data processing systems. Hands-on experience with streaming or near-real-time data ingestion (e.g., Kafka, Kinesis, MQTT, custom TCP/UDP pipelines). Experience working with on-prem systems or edge/IoT devices, including disk, bandwidth, or compute constraints. Familiarity with cloud storage and data lifecycle management (e.g., S3-like object stores). Strong debugging skills across distributed systems. Nice to Have Experience with IoT or sensor data (RF/CSI, video, audio, industrial telemetry). Familiarity with data compression, time-series formats, or binary data handling. Experience supporting ML training pipelines or large-scale dataset management. Exposure to containerized or GPU-enabled data processing environments. Knowledge of data governance, retention, or compliance requirements. Location Pittsburgh, PA (hybrid preferred; some on-site work with hardware teams) Salary $110,000 - $135,000 / year (depending on experience and depth in streaming + IoT systems)

kWantera is a venture-backed startup company dedicated to helping companies manage their energy. Our team of quantitative energy market analysts work with our big data analytics platform to analyze and react to changing market conditions. At kWantera, we promote a highly dedicated, collaborative and creative work environment where our employees take ownership of their role, taking much pride in their work. We aim to continue innovating in the future, giving businesses the upper hand on their energy decisions. Job Description We are seeking for a candidate who is passionate about making a difference in energy industry using data analytics. Energy Data Analyst will act as a bridge between our data science team and the energy market. He/she will use data analysis techniques to find answers to research questions raised by data science team, will evaluate the challenges and opportunities in the market, backing the findings with solid statistics, and will evaluate and analyze our products' performance, providing insightful feedback for improvements, just to count a few of the responsibilities. The ideal candidate is experienced and comfortable with analyzing big data and crunching numbers, is familiar with the electricity wholesale markets in the US, and has programming background, preferably in Python. We are seeking independent and critical thinkers, who are good team players. Qualifications Strong background in data analytics. Must be familiar with basic statistical techniques and metrics, such as implementing and evaluating regression analysis, hypothesis testing, auto-correlation, probability distributions, graphical representations, as well as confusion matrices to evaluate accuracy, precision and error, etc. (Machine Learning background is a plus). Strong understanding of energy markets in US (Previous work experience in the energy domain, or extensive coursework and projects in the area) Familiarity with using Python for data analysis (or equivalent language). A strong sense of ownership A team player Strong verbal and written communication skills Additional Information COMPENSATION Very competitive salary, because you deserve it. Equity in the company, to keep you motivated. 401(k) plan with matching, because we care about your future! PERKS: Unlimited vacation, we work hard and take time when we need it. Medical, dental and vision coverage. Fully stocked fridge, coffee, espresso and tons of snacks to keep us going. Fantastic modern office space in Pittsburgh's Strip District with free parking. Great office environment with exceptionally talented coworkers. kWantera's staff is highly motivated to shake up the status quo of the modern electric and natural gas industries within the United States. Our technology platform, machine learning, and predictive analytics are cutting-edge entrants into the emerging world of Big Data. We seek people who will be similarly passionate about changing the world.

FUNCTIONAL DEFINITION This Data Analyst position is assigned to the Allegheny County Department of Human Services (DHS), Office of Intellectual Disability (ODS). The Data Analyst will be responsible for ODS data collection, maintenance, and reporting. This individual will design data reports and databases to meet internal management needs and to represent the status of ODS administration of services and supports to external partners and stakeholders. DUTIES AND RESPONSIBILITIES A. Reporting and integrating data from multiple systems and sources, including but not limited to program eligibility and consumer demographics, support plans, assessments, service authorizations and utilization, incident management, and waiver capacity management. B. Maintenance of internal ACCESS databases from HCSIS Extract source. C. Development of new databases to support and enhance business functions. D. Tracking and problem-resolution of data integrity issues identified internally and as required by the State Office of Developmental Programs (ODP) E. Providing relevant, specific, and current data to ODS teams to facilitate administration of services F. Maintaining and reporting data relevant to performance indicators. G. Maintaining and reporting data relevant to the ODS Quality Management Plan. H. Maintaining and reporting data relevant to the State ODP monitoring of the Administrative Entity (QA&I) I. Maintaining and reporting data relevant to ODS oversight of Supports Coordination and Provider functions. J. Technical assistance to ODS staff in collection and maintenance of data K. Data analysis to support system change and quality improvement, including special projects to support ODS collaboration with other PA Counties and with the State ODP. SKILLS AND KNOWLEDGE A. Ability to work in a team-oriented atmosphere. B. Ability to be attentive to detail. C. Strong organizational skills demonstrated. D. Strong problem-solving skills E. Excellent written and verbal communication across all levels F. Working knowledge of Microsoft Office products including Access, Word, Excel, and PowerPoint. Working knowledge of internet research methods. G. Ability to work at a high level of independence with minimal supervision. H. Ability to interact with individuals on all organizational levels. I. Ability to collaborate with people from a variety of diverse agencies, backgrounds, resources, and communities. J. Ability to compile reports based on individualized and aggregate data. K. Ability to adapt to and learn new software products. ESSENTIAL REQUIREMENTS A. Possess Acts 33, 34 and FBI clearances. B. Have a valid Pennsylvania motor vehicle license, access to a personal vehicle, and have maximum auto insurance on an employee driven vehicle. C. Strong data management and analysis skills D. Expertise in ACCESS and Excel E. Ability to work independently. F. Full-time position requiring 40 hours per week. EDUCATION AND EXPERIENCE Bachelor's degree in math, statistics, computer science, or related subject and one year of experience in data collection, reporting and analysis or three years of experience in data collection, reporting and analysis. Preferred experience in project management and performance measurement.

Are you a data enthusiast with a desire to expand your understanding and experience with data analysis, visualization and data cleansing? As a Junior Data Science Analyst , you will have an opportunity to apply and develop your skills in analyzing large, complex, multi-dimensional datasets with a variety of tools and statistical environments, creating and implementing machine learning algorithms and advanced statistics and using statistical computing languages for data analysis -- such as R and Python. If you are ready to take your career to the next level, there has never been a better time to join ServiceLink! *Note- The Junior Data Science Analyst is a temporary role with an anticipated length of 3 months, intended to be an introductory/developmental role. A DAY IN THE LIFE In this role, you will… · Conduct research leveraging big data technologies that surface actionable insight that influence analytical solutions roadmap · Gather and process raw data at scale by using statistical packages like R, and programming language like Python · Process unstructured data into a form suitable for analysis - and then do the analysis. · Work with images, text documents and tabular data WHO YOU ARE You possess … · Recently graduated or currently pursuing Undergraduate / Master's degree in Computer Science or related field or equivalent work experience · Effective in fast paced environment · Collaborative/enjoys working in teams · Self-starter/motivator · Some experience in software or applications engineering and/or technical operations Responsibilities Critical thinking skills to assess how AI capabilities can best be applied to complex business situations. Work closely with engineering team to integrate your ideas, innovations and algorithms into production systems. Support business decisions with ad hoc analysis as needed. Having the ability to query databases with structured and un-structured data and perform statistical analysis Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing; Applying quantitative analysis and data mining expertise in presenting data to visualize beyond the numbers and the underlying trends and use that analysis in process automation Ability to perform in the following areas: o Analysis and Presentation o Exploratory Data Analysis o Predictive Data Analysis o Streaming Analytics Experience in creating and implementing machine learning algorithms and advanced statistics such as: regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks Proficiency with statistical computing languages for data analysis, such as R and Python preferred. You ask why, you explore, you're not afraid to blurt out your disruptive idea. You are constantly exploring new open source tools. Work on building deep learning models in production for predicting or classification. Analytical skills, with an emphasis on quantitative analysis, descriptive and inferential statistics a plus Qualifications Recently graduated or currently pursuing Undergraduate / Master's degree in Computer Science or related field or equivalent work experience Certification preferred but not required Some experience in software or applications engineering and/or technical operations Work and/or academic experience building applications using any of the following: o Large scale distributed databases as well as more traditional options: key-value, graph, SQL, NoSQL, time series o Machine Learning like R, Python o Deep knowledge on large scale object stores (e.g. HDFS) and the ecosystem of tools used for machine learning applications (e.g. spark etc.). In particular, we're looking for the flexibility to make decisions that best optimize for our applications and don't follow the crowd to a default answer. o Exposure to cloud environments preferable Azure o Experience handling data with relational databases is preferred o Knowledge of machine learning/distributed systems o SQL server or Oracle Effective in fast paced environment Collaborative/enjoys working in teams Self-starter/motivator Creative and effective problem solving skills Ability to work on/manage multiple tasks concurrently. We can recommend jobs specifically for you! Click here to get started.

ARMStrong Insurance Services is the leading and most trusted name in the world of debt recovery and financial solutions. With a track record of excellence and reliability, we have proudly served businesses across various industries for decades, ensuring efficient B2B collections and tailored debt recovery solutions. As the parent company, ARMStrong is proud to own and operate Brown & Joseph, Paragon, NEIS, and SubroIQ, each a powerhouse in their own right, providing specialized expertise in debt management and financial services. Paragon is seeking an Audit & Data Operations Analyst as we continue to grow our team. Audit & Data Operations Analysts supports our audit program and client onboarding efforts, helping ensure data accuracy and process efficiency across our insurance claims operations. Job Responsibilities: Validate and review client data during onboarding Support audit processes, including sample coordination and reporting Assist with monthly governance and billing audits QA monthly claim corrections and contribute to control report completion Collaborate with internal teams to identify and resolve data inconsistencies Qualifications and Requirements: Familiarity with liability insurance and claims workflows Proficiency in Excel; basic SQL experience preferred Strong analytical and problem-solving skills Excellent attention to detail and communication abilities Experience interpreting insurance policy language required Compensation and Benefits: $55,000 - $60,000 per year (DOE) Benefit package with health, dental, vision, life and disability coverage options 401(k) retirement plan option with company matching Generous paid time off policy - start with 18 days per year Paid holidays immediately upon hire - 7 standard holidays & 2 floating holidays of your choice We look forward to you joining our team! ARMStrong Insurance Services is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. On the Aurora Data Solutions team, you will join a world-class group whose mission is generating insights and intelligence to improve the Aurora Driver and help accelerate our path towards safe and broad commercialization of Autonomous Vehicle technology. This Data Analyst role is a key opportunity to leverage vast amounts of data from both internal and external sources to monitor and analyze the performance of the Aurora Driver, directly supporting Aurora in achieving its developmental and commercialization goals. The ideal candidate will thrive working cross-functionally. You will be responsible for delivering impactful analysis that generates crucial insights and intelligence for key leadership and executive stakeholders, enabling data-driven decision-making to transform transportation. If your passions align with working on cutting-edge Data Analytics projects to drive significant business impact, joining Aurora Data Solutions is the perfect opportunity for you. In this role, you will Develop and present executive-level reports and dashboards with clear, actionable insights that drive strategic decision-making. Develop and manage external-facing data reports for customers, partners, and regulatory bodies, ensuring accuracy and compliance. Communicate data and insights in visually impactful and compelling ways to effectively communicate analysis, trends, risks and opportunities. Partner closely with those stakeholders to design and implement metrics and dashboards to help them measure, understand, and improve their teams and performance needs Be a key driver in translating data findings into business recommendations and measurable outcomes across the organization. Collaborate with a team of world-class Data Scientists, Analysts, and Engineers on Data Science & Analytics problems spanning our Developmental and Commercial areas. Collaborate with our Data Science & Analytics and Engineering communities to ensure the adoption of best practices and suggest improvements Required Qualifications 2-4 years of experience as a Data Analyst, Data Scientist, or similar technical role. Proven experience taking Data Analytics projects end-to-end, from synthesizing business needs to building and maintaining data pipelines. Advanced proficiency with relational databases (SQL, PostgreSQL, etc.) and knowledge of Data Engineering best practices. Intermediate knowledge of data analytics infrastructure, including experience with data transformation tools like DBT and various visualization frameworks/tools. Competency in Python, demonstrated by the ability to write readable, maintainable, and easily interpretable code. Demonstrated ability to work effectively and collaboratively in a highly cross-functional, fast-moving, and high-stakes environment. Excellent communication skills with a proven ability to translate and cascade executive input into actionable, data-driven technical analysis for both technical and non-technical stakeholders. Desirable Qualifications Advanced degree (MS) in Statistics, Computer Science, Systems Engineering, or a related quantitative field Experience using Amazon Web Services (AWS) tools Experience using data-modeling business intelligence tools such as Holistics, Looker, etc. Experience presenting your work to Executive teams & interfacing with Product teams Experience in the Autonomous Vehicles or other safety-critical systems industries The base salary range for this position is $126K-$181K per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. #LI-SP1 #Associate

As part of the Wilshire family, you can rest assured that every day you are contributing to an organization that is helping investors improve their financial outcomes. For more than 50 years, Wilshire has been dedicated to providing customized portfolio solutions grounded in research and powered by next generation technologies. Wilshire advises on over $1 trillion in assets for some of the world's largest and most sophisticated institutional investors and is headquartered in the United States with offices worldwide. Job Description Wilshire seeks an Analytics Data Associate to help maintain and support analytics systems. The role involves Uploading data, generating and reviewing reports, and supporting client inquiries. This position requires some knowledge of investment, financial, economic and industry topics. We are looking for self-motivated candidates with strong academic backgrounds and professional drive. What you'll do: * Upload data into analytics systems and verify the output for accuracy and consistency * Generate reports and validate results to ensure accuracy * Support client inquiries and provide analytical explanations * Maintain risk dashboards to monitor risk exposure * Investigate and analyze data errors, identifying causes and implementing corrective actions to prevent recurrence * Support all areas of risk management * Communicate results internally and externally Qualifications * 3-5 years capital markets experience; or a quantitative master's degree + 1-2 years' experience * Proficiency in risk management tools and data analytics platforms * Experience with Microsoft Excel and VBA * Familiarity with SQL, Python or other programming languages is a plus * Experience in finance and knowledge of investments * Demonstrated ability to identify, analyze and recommend potential solutions to problems * Takes initiative and is highly motivated * Works effectively and productively in a team * Able to multi-task and prioritize in a fast-paced environment * Strong communication skills * Bachelor's degree in finance, economics, business, or related field * Demonstrated flexibility and willingness to work additional hours during critical periods or special situations to ensure timely and accurate completion of key deliverables Additional Information * This position will work on a hybrid model out of our New York or Pittsburgh office * We offer a comprehensive benefits package including a collaborative work environment, generous PTO, 401(k) match, affordable & comprehensive medical/dental/vision insurance, CFA and other professional membership reimbursement, and more. The pay range for this position is $60,000-$90,000. However, base pay will be determined on an individual basis considering various factors, including location, qualifications, skills, and experience. The total compensation package includes eligibility for an annual discretionary bonus and a full range of health and financial benefit offerings, which will be provided in conjunction with an offer of employment. Visit **************** for additional company information. Wilshire is an SEC registered investment adviser and required to track certain political contributions under Rule 206(4)-5. As such, you may be required to disclose your prior political contributions. We are an equal opportunity employer, which means we afford equal employment opportunity to all individuals regardless of race/ethnicity, creed, color, religion, sex (including gender and gender identity), national origin, ancestry, age, marital status, veteran status, citizenship status, disability, medical condition (as defined by California Government Code section 12926), or sexual orientation. Our employees, as well as applicants and others with whom we do business, will not be subjected to sexual, racial, religious, ethnic, or any other form of unlawful harassment. In addition, Wilshire adheres to the equal employment opportunity requirements of all states and localities in which it does business. We are completely committed to these principles not only because of the various laws which address these subjects, but because it is the right thing to do for our employees and clients to thrive. If you have a disability, and require reasonable accommodations in the application process, contact Human Resources at ApplicantAccessibility@wilshire.com or ************.

Primary Office Location:626 Washington Place. Pittsburgh, Pennsylvania. 15219.Join our team. Make a difference - for us and for your future. Marketing Data Analyst Business Unit: Marketing Reports to: Director of Marketing Analytics Position Overview: This individual is primarily responsible for targeting and/or measurement of all marketing campaigns to drive new household acquisition and deepen existing household relationships. Primary roles and responsibilities include implementing advanced data mining and analytics methodologies to develop audience segmentation strategies and discover insights. The ideal candidate will have a strong background in SQL, data analysis, marketing performance metrics, and audience segmentation. Primary Responsibilities: Develop prospect and customer targeting criteria leveraging large amounts of data and advanced data mining skills to enhance personalization and elevate the quality of marketing campaigns. Responsible for maintaining a scalable, sustainable approach to sales lead generation for retail and wholesale lines of businesses. Analyze campaign performance data including household acquisition, retention, and cross sell metrics to provide actionable insights and recommendations for optimization. Implement A/B test and incrementality tests to evaluate the effectiveness of marketing campaigns and affect meaningful positive change with testing results. Build and manage dashboards and reporting tools to track KPIs, ROI, and attribution. Ensure data integrity and accuracy across all marketing platforms and analytics tools. Performs other related duties and projects as assigned. All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program. F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions. Minimum Level of Education Required to Perform the Primary Responsibilities of this Position: BA or BS Minimum # of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position: 5 Skills Required to Perform the Primary Responsibilities of this Position: Excellent organizational, analytical and interpersonal skills Excellent communication skills, both written and verbal Excellent management skills Detail-oriented Ability to work and multi-task in a fast paced environment MS Excel - Expert Level MS PowerPoint - Expert Level Hands-on expertise with SQL, data analytics, data visualization tools, and SAS, R, or Python Licensures/Certifications Required to Perform the Primary Responsibilities of this Position: N/A Physical Requirements or Work Conditions Beyond Traditional Office Work: N/A Equal Employment Opportunity (EEO): It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

As part of the Wilshire family, you can rest assured that every day you are contributing to an organization that is helping investors improve their financial outcomes. For more than 50 years, Wilshire has been dedicated to providing customized portfolio solutions grounded in research and powered by next generation technologies. Wilshire advises on over $1 trillion in assets for some of the world's largest and most sophisticated institutional investors and is headquartered in the United States with offices worldwide. Job Description Wilshire seeks an Analytics Data Associate to help maintain and support analytics systems. The role involves Uploading data, generating and reviewing reports, and supporting client inquiries. This position requires some knowledge of investment, financial, economic and industry topics. We are looking for self-motivated candidates with strong academic backgrounds and professional drive. What you'll do: Upload data into analytics systems and verify the output for accuracy and consistency Generate reports and validate results to ensure accuracy Support client inquiries and provide analytical explanations Maintain risk dashboards to monitor risk exposure Investigate and analyze data errors, identifying causes and implementing corrective actions to prevent recurrence Support all areas of risk management Communicate results internally and externally Qualifications 3-5 years capital markets experience; or a quantitative master's degree + 1-2 years' experience Proficiency in risk management tools and data analytics platforms Experience with Microsoft Excel and VBA Familiarity with SQL, Python or other programming languages is a plus Experience in finance and knowledge of investments Demonstrated ability to identify, analyze and recommend potential solutions to problems Takes initiative and is highly motivated Works effectively and productively in a team Able to multi-task and prioritize in a fast-paced environment Strong communication skills Bachelor's degree in finance, economics, business, or related field Demonstrated flexibility and willingness to work additional hours during critical periods or special situations to ensure timely and accurate completion of key deliverables Additional Information This position will work on a hybrid model out of our New York or Pittsburgh office We offer a comprehensive benefits package including a collaborative work environment, generous PTO, 401(k) match, affordable & comprehensive medical/dental/vision insurance, CFA and other professional membership reimbursement, and more. The pay range for this position is $60,000-$90,000. However, base pay will be determined on an individual basis considering various factors, including location, qualifications, skills, and experience. The total compensation package includes eligibility for an annual discretionary bonus and a full range of health and financial benefit offerings, which will be provided in conjunction with an offer of employment. Visit **************** for additional company information. Wilshire is an SEC registered investment adviser and required to track certain political contributions under Rule 206(4)-5. As such, you may be required to disclose your prior political contributions. We are an equal opportunity employer, which means we afford equal employment opportunity to all individuals regardless of race/ethnicity, creed, color, religion, sex (including gender and gender identity), national origin, ancestry, age, marital status, veteran status, citizenship status, disability, medical condition (as defined by California Government Code section 12926), or sexual orientation. Our employees, as well as applicants and others with whom we do business, will not be subjected to sexual, racial, religious, ethnic, or any other form of unlawful harassment. In addition, Wilshire adheres to the equal employment opportunity requirements of all states and localities in which it does business. We are completely committed to these principles not only because of the various laws which address these subjects, but because it is the right thing to do for our employees and clients to thrive. If you have a disability, and require reasonable accommodations in the application process, contact Human Resources at ApplicantAccessibility@wilshire.com or ************.

Primary Office Location: 626 Washington Place. Pittsburgh, Pennsylvania. 15219. Join our team. Make a difference - for us and for your future. Marketing Data Analyst Business Unit: Marketing Reports to: Director of Marketing Analytics This individual is primarily responsible for targeting and/or measurement of all marketing campaigns to drive new household acquisition and deepen existing household relationships. Primary roles and responsibilities include implementing advanced data mining and analytics methodologies to develop audience segmentation strategies and discover insights. The ideal candidate will have a strong background in SQL, data analysis, marketing performance metrics, and audience segmentation. Primary Responsibilities: Develop prospect and customer targeting criteria leveraging large amounts of data and advanced data mining skills to enhance personalization and elevate the quality of marketing campaigns. Responsible for maintaining a scalable, sustainable approach to sales lead generation for retail and wholesale lines of businesses. Analyze campaign performance data including household acquisition, retention, and cross sell metrics to provide actionable insights and recommendations for optimization. Implement A/B test and incrementality tests to evaluate the effectiveness of marketing campaigns and affect meaningful positive change with testing results. Build and manage dashboards and reporting tools to track KPIs, ROI, and attribution. Ensure data integrity and accuracy across all marketing platforms and analytics tools. Performs other related duties and projects as assigned. All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program. F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions. Minimum Level of Education Required to Perform the Primary Responsibilities of this Position: BA or BS Minimum # of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position: 5 Skills Required to Perform the Primary Responsibilities of this Position: Excellent organizational, analytical and interpersonal skills Excellent communication skills, both written and verbal Excellent management skills Detail-oriented Ability to work and multi-task in a fast paced environment MS Excel - Expert Level MS PowerPoint - Expert Level Hands-on expertise with SQL, data analytics, data visualization tools, and SAS, R, or Python Licensures/Certifications Required to Perform the Primary Responsibilities of this Position: N/A Physical Requirements or Work Conditions Beyond Traditional Office Work: N/A Equal Employment Opportunity (EEO): It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here. For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy. + NTT DATA Services currently seeks a Senior SAP BODS Data Migration Specialist - S/4HANA (RISE 2023) to support a full-scale SAP S/4HANA implementation for a manufacturing site transitioning from a legacy Navision ERP system. The position focuses on designing, developing, and executing high-quality data migration solutions using SAP BODS and S/4HANA Migration Cockpit (Staging Tables Framework). The specialist will lead ETL processes, ensure data integrity, and collaborate closely with business and IT teams throughout the migration lifecycle. + Design and implement end-to-end data migration solutions from Navision SQL Server databases to SAP S/4HANA Cloud (RISE 2023) using SAP BODS. + Develop, optimize, and maintain BODS jobs, workflows, and dataflows for extraction, transformation, and loading (ETL). + Work extensively with S/4HANA Data Migration Objects, including: + Business Partners (Customers/Vendors) + Materials, Products, Equipment + Bills of Materials (BOMs) + Hierarchies and Classifications + Finance master data (Cost Center, Profit Center, etc.) + All Transactional Data Objects + SAP S/4HANA Migration Framework + Utilize SAP Migration Cockpit and Staging Table framework for data loads, validation, and reconciliation. + Perform data profiling, cleansing, validation, and harmonization to ensure accuracy and completeness. + Collaboration, Mapping & Quality Assurance + Collaborate with business and IT stakeholders to define source-to-target mappings, transformation logic, and validation rules. + Participate in data migration strategy design, mock conversion cycles, unit testing, UAT, cutover, and go-live activities. + Troubleshoot data migration issues independently and coordinate resolutions across functional and technical teams. + Governance & Best Practices + Ensure compliance with organizational data governance, performance standards, and security best practices. + Maintain documentation for mappings, ETL design, migration processes, and defect resolution. + Required Skills & Experience (Each Must Be 5+ Years) Technical Expertise + 5+ years of SAP BODS experience including ETL design, advanced transformations, and performance tuning. + 5+ years of SAP S/4HANA data migration experience, preferably S/4HANA Cloud 2023 (RISE). + 5+ years of hands-on work with SAP Migration Cockpit, including staging table framework, migration object templates, and reconciliation processes. + 5+ years of experience with key S/4HANA migration objects, including Business Partners, Materials, BOMs, Hierarchies, Finance, and Transactional Data. + 5+ years of SQL development experience, especially with Navision / MS SQL Server environments. Functional & Analytical Skills + 5+ years of experience in data profiling, cleansing, harmonization, and validation of large datasets. + 5+ years of experience resolving complex data issues, including debugging BODS jobs, staging tables, and SAP target structures. Soft Skills + 5+ years of stakeholder management and communication experience, working with IT teams and business SMEs. + Proven ability to work independently with minimal supervision. + Strong analytical, problem-solving, and documentation skills. + Preferred Qualifications + Experience in manufacturing industry data structures. + Experience with multi-system migrations or large brownfield/greenfield implementations. + Knowledge of SAP MDG (optional). About NTT DATA Services: NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more. NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team. Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is **($43.12 to $57.75 on w2 )** . This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.

Founded in 2006, Futurewave Systems is a minority owned boutique, STAFFING & PROFESSIONAL SERVICES PROVIDER headquartered in Atlanta, GA. We are a GLOBAL NETWORK of proven industry professionals demonstrating the fastest fulfillment rate of high tech professionals for Fortune 500 Companies. Job Description The Data Integration (DI) Specialist's role is to model/map and execute all activities related to the integration of data across various sources into an organized and unified view. This individual is also responsible for the monitoring of data flow between databases, servers and Cloud services to identify and implement the most suitable DI architecture for the organization's needs. Proven communication skills, problem-solving skills, and knowledge of integration best practices are critical to successful performance in this role. This is a highly-technical position, within a high-paced environment. A person with high attention to detail and a logical mindset with strong motivation and passion for technology would be a great candidate Responsibilities Operational/Technical: Work with project managers and developers to ensure that data entry, retrieval, change and delete functions meet business requirements for project completion. Lead in company data integrations with various systems that are utilized. Identify data entry, retrieval, change, and delete issues, and work to ensure a high level of data availability. Coordinate and work with other technical staff to develop relational databases and secondary databases. Develop automated database applications, where necessary, using the applicable database packages. Identify inefficiencies in current databases and leverage solutions. Install and configure relevant components to ensure database access and overall database security. Diagnose and resolve database access and performance issues. Analyze user requirements and, based on findings, design functional specifications for client/server databases and database applications. Evaluate and select database components, including hardware, relational database management systems, ETL software, metadata management tools, and database design solutions. PERCENTAGES OF JOB RESPONSIBILTIES % OF JOB DESCRIPTION 75% Integrations between various data sources, mainly MS SQL 2008/2012. This includes writing queries, triggers, stored procedures, data quality, data validity, and ensuring database integrity. Highly technical. Highly logical. 20% Working with the Development team (Cold Fusion) in order to ensure that the coding is in line with the database structure and database attributes. 5% Determining data quality issues, troubleshooting data issues Qualifications Knowledge, Skills & Experience: Years of direct experience in enterprise-level data integrations Proven experience in overseeing the linking of cross-functional databases between disparate business units and systems. Strong experience writing SQL queries, stored procedures and triggers Strong experience with database platforms, including Microsoft SQL 2008/2012 Experience with database design applications, including Microsoft SQL 2008/2012. Maintain high standards of data quality through the introduction and enforcement of information handling processes and organization of the data integration processes. Hands on experience with business and technical requirements analysis, business process modeling/mapping and methodology development, and data mapping. Working technical knowledge of current database software, protocols, and standards. Strong understanding of database structures, theories, principles, and practices. Working technical experience with designing, building, installing, configuring and supporting database servers, including Microsoft SQL 2008/2012. Strong knowledge of system and software quality assurance best practices methodology. Hands-on database tuning and troubleshooting experience. Experience with data processing flowcharting techniques. Technical Project management experience. Working technical experience with developing, installing, configuring and supporting database environments. Knowledge of applicable data privacy practices and laws. Personal Attributes: Highly self-motivated and directed. Highly Logical. Keen attention to detail. Proven analytical and problem-solving abilities. Ability to effectively prioritize and execute tasks in a high-pressure environment. Good written and oral communication skills. Strong technical documentation skills. Good interpersonal skills. Ability to conduct research into database issues, standards, and products as required. Ability to present ideas in user-friendly language. Strong customer service orientation. Experience working in a team-oriented, collaborative environment. Formal Education & Certification: College diploma or university degree in the field of computer science and 5+ years equivalent work experience.

Federated Hermes Summer Internship Program provides students the opportunity to gain "hands on" experience and develop professional skills as well as the ability to network with talented professionals and gain insight into career possibilities within the asset management industry. The program includes a variety of events to enhance your internship experience, provide information about the firm and foster collaboration. Major Duties: * Work in cooperation with Business Systems Analysts to provide analysis support for various business units throughout Federated Hermes. * Conduct business analysis and assist in the creation of requirements specifications, test cases/scripts and execute testing of applications. * Participate in a firm-wide intern "Hack-a-thon" Hours/Location: * 8:30 a.m. to 5:00 p.m. Monday - Friday during the summer or * Federated Hermes Tower - Pittsburgh, PA 15222 (hybrid work arrangement) Explanatory Comments: * Good analytical skills with an emphasis on attention to detail * Above average written and oral communication skills * Ability to work effectively in a team environment Position Specifications: * Currently pursuing a degree in Information Systems or comparable business/systems analysis-oriented program; or pursing a business degree with information systems related minor required * Information technology experience or relevant coursework in business systems analysis or information technology required * 3.2 or better QPA preferred * Coursework pertaining to: Software development life cycle, structured analysis and design; business systems analysis methodologies, including exposure to SQL, GUI design highly preferred * Course work and hands-on exposure to Oracle and / or SQL Server preferred

Federated Hermes Summer Internship Program provides students the opportunity to gain "hands on" experience and develop professional skills as well as the ability to network with talented professionals and gain insight into career possibilities within the asset management industry. The program includes a variety of events to enhance your internship experience, provide information about the firm and foster collaboration. Major Duties: * Work in cooperation with Business Systems Analysts to provide analysis support for various business units throughout Federated Hermes. * Conduct business analysis and assist in the creation of requirements specifications, test cases/scripts and execute testing of applications. * Participate in a firm-wide intern "Hack-a-thon" Hours/Location: * 8:30 a.m. to 5:00 p.m. Monday - Friday during the summer * Warrendale, PA 15086 (hybrid work arrangement) Explanatory Comments: * Good analytical skills with an emphasis on attention to detail * Above average written and oral communication skills * Ability to work effectively in a team environment Position Specifications: * Currently pursuing a degree in Information Systems or comparable business/systems analysis-oriented program; or pursing a business degree with information systems related minor required * Information technology experience or relevant coursework in business systems analysis or information technology required * 3.2 or better QPA preferred * Coursework pertaining to: Software development life cycle, structured analysis and design; business systems analysis methodologies, including exposure to SQL, GUI design highly preferred * Course work and hands-on exposure to Oracle and / or SQL Server preferred