Role Description We are looking for a focused data entry clerk to continuously update our company's databases. The data entry clerk will liaise with and follow up with employees within the company as well as with customers to collect information. The data entry clerk will capture the data into relevant databases in a timely and accurate manner. You will identify and correct errors, and swiftly bring them to the attention of relevant parties where necessary. - Gathering invoices, statements, reports, personal details, documents and information from employees, other departments and clients. - Scanning through information to identify pertinent information. - Correcting errors and organizing the information in a manner that will optimize swift and accurate capturing. - Creating accurate spreadsheets. - Entering and updating information into relevant databases. - Ensuring data is backed up. - Informing relevant parties regarding errors encountered. - Storing hard copies of data in an organized manner to optimize retrieval. - Handling additional duties from time to time. Qualifications - Strong interpersonal and communication skills. - Ability to concentrate for lengthy periods and perform accurately with adequate speed. - Proficient touch typing skills. Requirements - High school diploma. - 1+ years experience in a relevant field. - Good command of English. - Excellent knowledge of MS Office Word and Excel. Company Description

Role Description Join our dynamic Warfare Systems Business Group at HII-Mission Technologies and contribute to mission-critical initiatives! We are seeking a highly skilled and mission-driven Data Analyst with deep expertise in data analytics, management, and visualization, and a proven track record in optimization. The successful candidate will play a pivotal role in integrating data streams to drive performance insights and support strategic planning across dynamic operational environments. Position requires an active Secret clearance at the time of application and consideration. Essential Job Responsibilities: - Aggregate data from multiple sources - Cleanse and normalize datasets to ensure consistency across platforms - Maintain data pipelines for real-time or scheduled ingestion into centralized systems - Troubleshoot integration issues - Analyze performance metrics (e.g., fatigue, cognitive load, recovery rates) to identify trends - Develop dashboards that visualize KPIs related to human performance - Generate reports for leadership on individual and team performance trends - Translate technical findings into actionable insights for non-technical stakeholders - Participate in daily stand-ups or syncs to align on priorities and data requirements - Support cross-functional initiatives that integrate performance data into broader readiness - Recommend improvements to data architecture based on performance feedback Qualifications - Skilled in SQL, relational databases, and cloud-based data storage (Azure, AWS, Snowflake) - Capable of documenting repeatable data workflows and integration protocols - Have extraordinary communication skills - Comfortable reading and understanding data transformation scripts written in Python - Compile and analyze data definitions, usage, labeling standards - Maintains analytical systems, verifies the accuracy of the data, and acts as liaison with business - Collaborate with data engineers and developers to ensure data quality and consistency - Continuously improve data analysis and reporting processes to drive efficiency and accuracy - Ability to work independently while thriving in collaborative team settings - Self-motivated initiator with strong problem-solving skills and a proactive approach - Clearance: Must possess and maintain an active Secret clearance - Remote-eligible position; must align with Eastern Time Zone core business hours, 0900-1500ET Requirements - Data Analyst II: 3 years relevant experience with Bachelors in related field; 1 year relevant experience with Masters in related field; or High School Diploma or equivalent and 7 years relevant experience - Data Analyst III: 6 years relevant experience with Bachelors in related field; 4 years relevant experience with Masters in related field; or High School Diploma or equivalent and 10 years relevant experience Preferred Requirements - Technical writing experience in relevant areas, including queries, reports, and presentations - Experience with ADVANA with an aptitude for learning other analytics tools - Knowledge of FMS processes and systems - Excellent experience with data modeling - Experience with ETL process - Experience with any data visualization tools such as Tableau/Qlik - Basic understanding of Databricks - Experience with Python Physical Requirements - Ability to remain in a stationary position for prolonged periods while working at a computer - Ability to operate a keyboard, mouse, and standard office equipment to perform analytical tasks - Must be able to effectively communicate in virtual meetings, briefings, and secure collaboration environments - Ability to review, analyze, and interpret digital data for extended periods with attention to detail and accuracy - Occasional light lifting of documents or equipment up to 10 lbs, if needed for home-office setup - Must maintain a home work environment that meets company and government security requirements - Must be able to work assigned East Coast core business hours to support program and customer requirements Benefits - Competitive benefits such as best-in-class medical, dental and vision plan choices - Wellness resources - Employee assistance programs - Savings Plan Options (401(k)) - Financial planning tools - Life insurance - Employee discounts - Paid holidays and paid time off - Tuition reimbursement - Early childhood and post-secondary education scholarships

Job Title Senior Director of Product, Customer Data and Orchestration Platform Job Description About The Position | Major goals and objectives and location requirements The Senior Director of Product will serve as the strategic product lead and primary communication bridge for our emerging Customer Data and Orchestration Platform. This role is dedicated to evolving our technical architecture from 'session-based' to 'user-focused' by delivering a high-fidelity 'Golden Record'—a Central User Profile that harmonizes subscriptions, behavioral metrics, and customer history across existing data silos. Acting as a force multiplier for our marketing and data teams, this leader will refine our systems to automate complex data workflows, remove technical friction, and unlock scalable, data-backed customer growth opportunities. Hybrid 3x a week- (New York, NY) In-office Expectations: This position is hybrid in-office, with the ability to work remotely for up to 2 days per week. About The Positions Contributions: Product Vision & Strategy - Data Enablement: Architect the Central User Profile (Golden Record) to serve as a shared service, giving marketing teams a 'plug-and-play' data source for high-scale activation, personalization, and segmentation. - Own Subscription & Entitlement Tech: Serve as the product lead for Piano. Define and enforce how we manage access, paywalls, and subscription logic. - Unlock "Known-First" Growth: Partner with marketing and business leadership to prioritize high-margin, "Known-First" use cases—such as intelligent list identification, intelligent up-selling, and precision cross-selling—to maximize the Lifetime Value (LTV) of the existing customer database. - Evangelize Composable Architecture: Serve as the product champion for our warehouse-native Composable CDP model, advocating for an approach that connects best-of-breed tools directly to BigQuery. - Continuous Optimization: Partner with marketing teams to drive the ongoing optimization of onsite marketing experiences to improve conversion and engagement. Execution & Delivery - Removing Operational Friction: Lead the continued integration of Piano across the portfolio, focusing on automating entitlement checks and subscription logic to free up marketing and customer services teams from manual troubleshooting. - Platform Orchestration: Partner with marketing teams to translate complex marketing requirements into automated orchestration logic, ensuring "Next Best Action" (NBA) signals are delivered seamlessly into customer engagement tools. - Empower Marketer Autonomy: Design and own the central customer data that equips marketing leads with high-fidelity data to control audience segments and "Share of Voice". - Identity Resolution & Bridge: coordinate the roadmap for the identity and access layer, focusing on "Identity Bridges" like newsletter sign-ups to link anonymous user intent with known profiles. - Platform Alignment: Balance universal platform standardization with the flexibility required by specific brand and marketing teams. Operational Leadership - Strategic Growth Modeling: Collaborate on new acquisition opportunities by building business cases and modeling revenue impact with brand and marketing leaders. - Shared Performance Frameworks: Collaborate with marketing and business leaders to establish common success metrics, ensuring platform improvements are directly tied to the ability to drive conversion and LTV. - Own platform reliability and governance standards: Set expectations for data quality, freshness SLAs, consent/compliance requirements, and incident response across identity and activation pipelines. Team & Stakeholder Management - Technical Advocacy: Serve as a primary bridge between marketing teams and engineering, ensuring the marketing technologies are technically optimized to support the businesses growth and retention goals. - Direct Management: Lead and mentor product managers, including a Junior PM focused on Audience Relationship initiatives. - Drive Operational Adoption: Partner with brand and marketing teams to ensure platform tools are fully adopted, driving a cultural shift toward unified, efficient, customer data-backed architecture. - Cross-Functional Problem Solving: Lead resolution when business objectives, user experience, and technical capabilities conflict. The Role’s Minimum Qualifications and Job Requirements: Education: Bachelor's degree preferred and/or equivalent experience. Experience: 7+ years in digital product management, with a strong track record in mobile app development and consumer engagement strategies. Specific Knowledge, Skills, Certifications and Abilities: - Demonstrated experience launching and scaling high-profile mobile products; DTC, media, or lifestyle brand experience is a strong plus. - Deep understanding of mobile analytics, growth levers, A/B testing, and agile product processes. - Proven leadership skills with a successful track record of managing and mentoring product managers and cross-functional stakeholders. - Exceptional communication and presentation skills, with the ability to align and influence at all levels of an organization, including C-suite executives. - A passion for innovation in the media space and a strong orientation toward outcomes, user needs, and brand integrity. It is the policy of People Inc. to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities. Accommodation requests can be made by emailing hr@people.inc. The Company participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: https://www.e-verify.gov/employees Pay Range Salary: New York: $180,000 - $200,000 Remote US: $170,000 - $190,000 The pay range above represents the anticipated low and high end of the pay range for this position and may change in the future. Actual pay may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. The range listed is just one component of People Inc's total compensation package for employees. Other compensation may include annual bonuses, and short- and long-term incentives. In addition, People Inc. provides to employees (and their eligible family members) a variety of benefits, including medical, dental, vision, prescription drug coverage, unlimited paid time off (PTO), adoption or surrogate assistance, donation matching, tuition reimbursement, basic life insurance, basic accidental death & dismemberment, supplemental life insurance, supplemental accident insurance, commuter benefits, short term and long term disability, health savings and flexible spending accounts, family care benefits, a generous 401K savings plan with a company match program, 10-12 paid holidays annually, and generous paid parental leave (birthing and non-birthing parents), all of which may vary depending on the specific nature of your employment with People Inc. and your work location. We also offer voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance. #NMG#

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote) locations Richmond, VA US Remote time type Full time job requisition id R241320 Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)   Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market.   Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Sr. Manager. Product Management, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market.   As a Senior Data Analysis Manager at Capital One Software, you will apply your strategic and analytical skills to major company challenges. You'll team with world-class professionals to enable data driven decision making and create dashboards and visualizations that deliver information and insights at scale. You will perform in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.    General Responsibilities:  - Partnership: Partner with stakeholders across the GTM organization, including Sales, Sales Operations, Solutions Architecture, and Customer Success Leaders to identify and address reporting and analysis needs - Execution: Manage and sequence delivery of reporting and data needs, build business requirements and execute against these requirements. Own and drive multiple projects concurrently  - Dashboarding and Visualization: Ability to create dashboards and data visualizations that deliver business insights and information at scale - Strategic & Analytic Orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation and data driven approach - Collaboration: Ability to collaborate and work with business partners across the enterprise. You should foster innovation, drive critical decisions, hold business partners accountable, and be able to consistently deliver results in a fast growing, matrixed environment - Strong Executive Communication Skills: Impeccable written and oral communication credentials, coupled with the ability to deliver core business reports to GTM leadership - Clear Results Orientation: Display an intense focus on achieving both short and long term goals. You should be able to drive and execute an agenda in an uncertain and fluid environment, including the preparation of ad-hoc analysis and reports - People Leadership: Provide effective coaching, and consistent feedback. Establish clear expectations and actively develop your associates’ skills.   Basic Qualifications - Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. - At least 5 years of experience performing professional data analysis work - At least 5 years of experience leading and developing with open source data technologies  - At least 2 years of experience managing people   Preferred Qualifications:  - Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field  - At least 7 years of experience in statistical or econometrics hands-on work  - At least 5 years of experience manipulating and performing analysis with large data sets  - At least 5 years of experience in financial services industry  - At least 5 years of experience in developing statistical or econometric models  - At least 5 years of experience in validating statistical or econometric models  - At least 2 years of experience with data governance  - At least 2 years of experience with predictive analytics - At least 2 years of experience with B2B SaaS products   At this time, Capital One will not sponsor a new applicant for employment authorization for this position.   The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.   Remote (Regardless of Location): $182,500 - $208,300 for Sr. Data Analysis Manager   Richmond, VA: $182,500 - $208,300 for Sr. Data Analysis Manager   Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.   This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.