Data Analytics Lead Jobs

Data & Analytics Lead | Houston, TX (Remote)

$73,875 - $98,500/yr

Together we change lives. Kelly is a team of experts driven by our belief that the impact of the right person in the right job is limitless. No matter where you are in your career journey you can apply your knowledge and passion to move people, organizations, and communities forward. You’ll have opportunities to grow your expertise and capabilities, both professionally and personally. As a team we celebrate inclusion, caring and collaboration. As a company we value your contribution, we work with integrity, and we always put people first – so your impact really will change lives. KellyOCG is partnering with a Fortune 50 energy client on a large-scale enterprise transformation program. We are seeking a Sr Business Analyst with deep data and analytics expertise to serve as the project-based Data \& Analytics Lead. In this role you will partner with the client’s analytics leadership to evaluate, plan, and implement how dashboards and reporting evolve through a multi-year transition. Our Sr Business Analyst – Data \& Analytics is accountable for: * Reviewing current dashboards, reporting logic, data sources, and dependencies to define requirements that support the transition state * Partnering with the client’s Data \& Analytics Lead to co-develop how dashboards and reporting should evolve through transition into steady state * Providing technical feasibility input, dependency mapping, risk identification, and execution approach during transition planning * Conducting impact assessments on existing dashboards and reporting related to platform changes, data model modifications, and taxonomy updates * Executing dashboard enhancements beyond base scope: updating reporting logic, calculations, structures, and designs to support evolving needs * Identifying gaps between current-state dashboards, platform-delivered reporting, and business needs — then developing and implementing solutions * Ensuring dashboards are tested, validated, accurate, and structured to maintain stability during transition without disrupting business continuity * Preparing comprehensive handoff documentation including technical specifications, data source mappings, calculation logic, known dependencies, and recommended maintenance procedures Essential Skills, Knowledge \& Experiences: * 5+ years of experience in data analytics, business intelligence, or reporting within enterprise environments * Hands-on experience designing, building, and enhancing dashboards and reports in Power BI, Tableau, or similar tools * Strong SQL skills for data querying, validation, and analysis * Strong analytical skills with the ability to assess data models, reporting logic, and upstream/downstream dependencies * Experience conducting impact assessments and translating strategic requirements into technical execution plans * Familiarity with data governance frameworks, ETL processes, and documentation standards * Strong communicator who can translate technical findings into clear, business-friendly language * Detail-oriented with a commitment to data accuracy and quality * Collaborative approach to working within a matrixed, multi-stakeholder environment * Self-directed and able to manage multiple priorities in a fast-paced program Preferred Experience: * Experience with Beeline, SAP Fieldglass, or similar VMS/contingent workforce platforms * Familiarity with cloud data platforms or enterprise data hubs * Background in managed service provider (MSP) or contingent workforce programs * Experience with data migration or platform transition projects Base pay range for this position is $73,875 - $98,500 per year. Final annual compensation will be based on experience and may vary by geographic location. Total compensation package including benefits as applicable to the position – understanding that each person has unique professional and personal needs focused on your total well-being. Explore our range of benefits at: Kelly Services | People Regular Staff Kelly is an equal opportunity employer committed to employing a diverse, equitable and inclusive workforce, including, but not limited to, race, gender, individuals with disabilities, protected veterans, sexual orientation, and gender identity. Equal Employment Opportunity is The Law.

Sr Lead Data Analyst (Marketing Advanced Analytics)

At Vanguard Personal Investor Marketing, we’re on a mission to help individuals achieve financial well-being by connecting them with our world-class investment products and services. Our team plays a critical role in shaping how we engage with prospects and clients—bringing the power of Vanguard’s trusted brand to life through data-driven, personalized marketing. This role will be pivotal in enhancing the performance of our marketing campaigns through advanced analytics, predictive modeling, and data science techniques. The ideal candidate will have a strong foundation in marketing analytics, statistical modeling, and campaign optimization, with the ability to translate complex data into actionable insights that drive ROI. This role suits someone who thrives at the intersection of marketing strategy, analytics, and data science. They will excel at addressing complex business questions using compelling analytical strategies and communicating these solutions to both technical and non-technical audiences to influence swift implementation. In this role you will: * Translate marketing and business needs into analytical requirements E.g., data, models required to build strategic analytical solution * Establish the analytical framework to successfully deliver business OKRs * Design a robust and streamlined data-lead strategy to drive marketing optimization at scale * Run BAU, proposed and other “what if” scenarios assessments to validate approach and evaluate impact * Design an actionable marketing operations and experimentation roadmap * Build consensus and influence senior stakeholders to gain confidence in analytics proposals * Continuously evangelize analytical and data-driven problem solving, strategic mindset \& experimentation best practices across the organization What it takes: * Minimum of eight years of related work experience with five years in advanced marketing strategy and optimization analytics * Bachelors degree in Marketing, Statistics, Data Science, Economics, or related field (Masters preferred) * Proficiency in Excel, SQL, Tableau, Python for data manipulation, optimization algorithms and modeling using big data cloud platforms * Understanding of A/B testing, regression, hypothesis testing, and statistical significance * Familiarity with Marketing and Funnel KPIs like ROI, LTV, Attribution Metrics, Engagement Metrics * Ability to translate complex data into actionable insights for non-technical stakeholders * Critical thinking \& problem-solving skills to identify optimization opportunities and designing experiments * Working cross-functionally and collaboratively with partner and support organizations E.g., Marketing, Sales, MarTech, Data Science, Data Engineering and other Analytics teams Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Lead Architect - Data & Analytics

$119,000 - $187,000/yr

About this role: Wells Fargo is seeking a Lead Architect in our Architecture \& Engineering Group as part of Consumer Technology. Learn more about the career areas and business divisions at wellsfargojobs.com. In this role, you will lead the definition and execution of a comprehensive data strategy, partnering with cross-functional teams to deliver secure, scalable, and resilient architecture that supports key business outcomes. You will ensure alignment with enterprise standards and regulatory requirements while driving consistency across data platforms, integrations, and downstream use cases. You will design and govern modern data ecosystems-including lakehouse, data mesh, knowledge graphs, and real-time streaming-supporting analytics, reporting, and digital personalization at scale. This role requires deep expertise in data modeling, integration patterns, and cloud-native architectures, with a focus on building trusted, reusable data products for analytics, applications, and AI-driven solutions. In this role, you will:* Lead the implementation of complex projects and initiatives that have companywide scope * Assist in the creation of architectural artifacts for key technology initiatives * Participate in the definition of future technology architecture and strategy * Identify medium to high architectural impact projects * Conduct complex technology and system assessments for architecture solutions * Communicate the companywide Architecture strategy and direction to both management and systems related teams * Make decisions in the development and maintenance of architectures * Understand compliance and risk management requirements for supported areas * Ensure applications adhere to established Wells Fargo standards, policies, methodologies and industry best practices * Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals Required Qualifications:* 5+ years of Architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education * 5+ years of experience designing modern data architectures, including lakehouse, streaming, and event-driven platforms to support scalable data solutions. * 5+ years of experience building and optimizing data models and cloud-based data environments (Azure, AWS, or GCP) to enable reporting, analytics, and business insights. * 5+ years of experience developing data pipelines and integration processes, including ETL/ELT, orchestration tools, and implementing data governance and quality standards. Desired Qualifications:* Experience designing enterprise-scale semantic data platforms (CDP) * Experience with real-time personalization and decisioning systems * Familiarity with graph data models and knowledge graphs (e.g., Neo4j) for relationship-driven analytics * Experience integrating data platforms with operational systems (APIs, microservices, event streams) * Exposure to financial services regulatory data requirements (e.g., risk, fraud, AML, reporting) Job Expectations:* This position requires a hybrid in office work schedule * Ability to travel up to 10% Job Location: 300 S. Brevard - Charlotte, North Carolina 28202 401 Las Colinas Blvd W Building A - Irving, Texas 75039 3075 Loyalty Cir - Columbus, Ohio 43219 Pay Range Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $119,000.00 - $187,000.00 Benefits Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.* Health benefits * 401(k) Plan * Paid time off * Disability benefits * Life insurance, critical illness insurance, and accident insurance * Parental leave * Critical caregiving leave * Discounts and savings * Commuter benefits * Tuition reimbursement * Scholarships for dependent children * Adoption reimbursement Posting End Date: 31 May 2026 * Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Lead Solution Architekt Data & Analytics (m/w/d) (Ref.Nr.: 46855)

From $26/yr

Wir suchen einen Lead Solution Architect Data & Analytics für die Konzeption, Weiterentwicklung und Governance moderner Reporting-, Semantic- und Analytics-Services am Standort Würzburg. In dieser Rolle verantworten Sie die End-to-End Architektur auf Basis von Microsoft Fabric, Power BI und Azure/Lakehouse-Plattformen innerhalb definierter Enterprise-Leitplanken und arbeiten eng mit produktübergreifenden Delivery-Teams zusammen. Key Facts Start: 26.05.2026 Dauer: Nicht bekannt Auslastung: 0 % Einsatzart: Einsatzort: Würzburg Einsatzland: Sonstiges Ihre Aufgaben • Entwicklung und Konzeption technischer Lösungsarchitekturen für skalierbare Reporting- und Analytics-Lösungen • Weiterentwicklung standardisierter Services auf Basis von Microsoft Fabric, Power BI und Azure/Lakehouse-Plattformen • Sicherstellung konsistenter End-to-End Analytics-Architekturen innerhalb definierter Plattform- und Enterprise-Leitplanken • Definition und Weiterentwicklung technischer Standards für Reporting, KPI-Frameworks und semantische Modelle • Gestaltung wiederverwendbarer Shared Datasets und Reporting-Frameworks zur Förderung zentraler Datendienste • Unterstützung bei strategischen Architekturentscheidungen zu Fabric Workspaces, Berechtigungskonzepten und Deployment-Strategien • Etablierung und Überwachung von Reporting- und Analytics-Governance sowie zugehöriger Qualitätssicherungs-Mechanismen • Mitwirkung bei der Definition von Testing-Konzepten sowie KPI- und Datenqualitätsstandards • Aufbau technischer Governance-Mechanismen wie CI/CD-Standards, Deployment-Pipelines und Quality Gates • Sicherstellung von Skalierbarkeit, Wartbarkeit und Wiederverwendbarkeit der bereitgestellten Services • Übernahme der technischen Schnittstellenfunktion zwischen Fachbereichen, Produktteams, Business Analysten und Plattform-Engineering • Durchführung von Aufwandsschätzungen und Teilnahme an der PI-Planung im agilen Delivery-Umfeld (z.B. SAFe) • Bewertung moderner Fabric-, Azure- und KI-Funktionalitäten zur kontinuierlichen Effizienzsteigerung in Delivery und Betrieb • Beratung von Stakeholdern bei neuen Reporting- und Analytics-Anforderungen Muss-Anforderungen • Erfahrung in der Konzeption von Reporting-, Semantic- und Analytics-Lösungen • Erfahrung im Aufbau skalierbarer Reporting-, KPI- und Consumption-Architekturen • Verständnis von Datenflüssen, Datenabhängigkeiten und Datenqualitätsanforderungen • Erfahrung mit Governance- und Betriebsmodellen im BI-/Analytics-Umfeld • Sehr gute Kenntnisse in Power BI • Sehr gute Kenntnisse in DAX • Sehr gute Kenntnisse in SQL • Sehr gute Kenntnisse in Datenmodellierung • Sehr gute Kenntnisse in Power Query • Erfahrung in agilen Delivery-Organisationen (z.B. SAFe) • Strukturierte und eigenverantwortliche Arbeitsweise • Erfahrung in der Abstimmung zwischen Fachbereichen, Produktteams und technischen Plattformteams • Sicherer Umgang in der Stakeholder-Steuerung • Erfahrung in Architektur-, Governance- oder Plattformthemen im Analytics-Umfeld Kann-Anforderungen • Gute Kenntnisse in Microsoft Fabric • Gute Kenntnisse in Shared Datasets und semantischen Datenmodellen • Gute Kenntnisse in Azure-/Lakehouse-Plattformen • Kenntnisse in CI/CD- und Deployment-Prozessen • Kenntnisse in Reporting- & Analytics-Governance • Erfahrung mit Databricks on Azure / Lakehouse-Architektur • Erfahrung mit Self-Service-BI-Konzepten • Erfahrung mit KPI-, Testing- & Quality-Frameworks • Erfahrung mit Governance-by-Platform-Ansätzen • Erfahrung mit Deployment Pipelines & Workspace Governance • Umsetzung oder technische Verantwortung von Reporting- und Analytics-Lösungen • Erfahrung mit Power-BI- oder Fabric-basierten Reportingplattformen • Erfahrung mit standardisierten Reporting- und KPI-Services • Erfahrung in skalierten agilen Projekten mit mehreren Teams • SAFe-Zertifizierung oder fundierte SAFe-Erfahrung • Erfahrung im Enterprise- oder Transformationsumfeld • Erfahrung im Aufbau oder der Weiterentwicklung moderner Analytics- oder Reportingplattformen Weitere Informationen Der Einsatzort ist Würzburg mit einem Onsite-Anteil von 60 % Let’s power the future together Vom Business Case bis hin zur Umsetzung: Als führendes Beratungsunternehmen für strategische Transformationen sind wir vertrauenswürdiger Partner für unsere Kunden - und für unsere Mitarbeitenden. Verantwortungsvoll, leistungsstark und immer mit dem Menschen im Fokus. #WeAreWavestone Mit unserem 360°-Portfolio an Beratungsleistungen verbinden wir erstklassige Branchenexpertise mit einem breiten Spektrum an branchenübergreifenden Kompetenzen, arbeiten interdisziplinär und denken über den Tellerrand hinaus. Unseren Partnerunternehmen und Freelancern:Freelancerinnen können wir so umfassende Perspektiven innerhalb unserer eigenen Projekte bieten und unterstützen als langjähriger Rahmenvertragspartner bei der Besetzung von Projektvakanzen – zeitnah und direkt. Wir freuen uns auf Ihre Kontaktaufnahme! Ihr direkter Ansprechpartner bei Wavestone Selma Halilovic Telefon: 00498945599290 E-Mail: Find Jobs in Germany on Arbeitnow

Data & AI Analytics leader -Insurance

$15 - $20/yr

Role: PreSales Lead, Data \& Analytics (Senior Director) Location: Hartford, Connecticut, USA.( need locals’ 3 days office) Reporting to: AVP level. Job description: Tango Leader – PreSales Lead, Data \& Analytics Role Overview * The PreSales Lead – Data \& Analytics is a senior, client-facing leadership role. * Responsible for driving revenue growth through strategic account mining and solution-led presales. * Leads end-to-end presales pursuits for Data \& Analytics opportunities. * Acts as a bridge between business, technology, sales, and delivery teams. * Converts qualified opportunities into scalable, profitable, and governable engagements. * Plays a key role in mentoring presales teams and ensuring smooth transition from deal shaping to delivery. Key Objectives * Drive revenue growth within strategic and key enterprise accounts. * Establish the organization as a trusted Data \& Analytics transformation partner. * Ensure strong deal governance and architectural alignment from presales to delivery. * Support talent identification and onboarding aligned with account and solution needs. Detailed Roles \& Responsibilities 1. Account Mining \& Revenue Growth * Collaborate closely with Account Managers, Client Partners, and Sales Leadership. * Proactively mine existing client accounts to identify: * Whitespace opportunities * Expansion, cross-sell, and up-sell opportunities * Develop deep understanding of: * Client business models and industry context * Client’s data landscape, maturity, and challenges * Identify and shape value-led Data \& Analytics use cases such as: * BI and reporting modernization * Advanced analytics and predictive insights * AI/ML and data science solutions * Cloud data platform modernization * Build and maintain a strong pipeline with predictable revenue outcomes. * Support revenue growth across analytics, cloud, and data engineering service lines. 2. Solution Definition \& Deal Shaping * Own solution architecture and deal definition for complex Data \& Analytics opportunities. * Design end-to-end solutions across: * Data platforms, lakes, and warehouses * BI, dashboards, and reporting layers * Advanced analytics, AI/ML, and data science use cases * Cloud ecosystems (AWS preferred) * Generative AI–based solutions * Define: * Technical architecture * Operating model and delivery approach * Phasing and roadmap * Lead effort estimation, pricing, commercials, and staffing models. * Ensure solutions are: * Client-value driven * Technically feasible and scalable * Commercially viable and profitable * Clearly articulate solution value propositions to: * Senior business stakeholders * Technology and architecture leaders 3. Proposal Leadership \& Sales Support * Lead and own end-to-end proposal creation for: * RFPs, RFIs, and RFQs * Client presentations and solution decks * Develop compelling: * Storyboards * Solution narratives * Differentiation messaging * Lead: * Solution walkthroughs * Technical discussions * Executive and CXO-level presentations * Work closely with Sales, Marketing, and Delivery teams to improve: * Proposal quality * Win ratios * Time-to-response * Ensure proposals comply with: * Organizational standards * Risk and compliance guidelines * Delivery capabilities and constraints 4. Team Mentoring \& Capability Building * Mentor and coach: * Solution Architects * Presales Consultants * Analysts and junior team members * Build strong capabilities in: * Solution design * Estimation and commercials * Client storytelling * Develop reusable: * Solution frameworks * Accelerators * Presales artifacts and templates * Coach teams on: * Client communication and executive presence * Storytelling and value articulation * Foster a culture of: * Continuous learning * Quality improvement * Innovation in solutioning 5. Delivery Governance \& Deal-to-Execution Transition * Support seamless transition from presales to delivery teams. * Ensure original solution intent and commercials are preserved. * Participate in: * Architecture reviews * Design validations * Governance forums * Act as an escalation point for: * Solution gaps * Scope clarifications * Architectural or commercial concerns * Ensure early delivery aligns with: * Committed scope * Architecture * Timelines and commercials * Provide advisory support during: * Critical delivery milestones * Steering committee meetings * Audits or risk reviews Required Skills \& Experience Experience * 15–20 years of overall IT consulting experience. * Minimum 10 years in Data \& Analytics presales, solutioning, or consulting roles. * Proven history of: * Account mining * Revenue generation * Deal closures * Experience working with large enterprises and CXO-level stakeholders. Technical \& Domain Expertise * Strong knowledge of Data \& Analytics ecosystem, including: * Data warehousing and BI solutions * Cloud data platforms (AWS preferred) * Modern analytics stacks (Snowflake, Databricks, etc.) * Good understanding of: * ETL and data integration concepts * Data governance, quality, and security * Advanced analytics and AI/ML use cases * Property \& Casualty (P\&C) Insurance domain experience is a strong plus. PreSales \& Consulting Skills * End-to-end solution architecture and estimation. * Proposal and bid management. * Executive-level client communication and storytelling. * Strong commercial awareness and pricing constructs. * Effective stakeholder management across sales, delivery, and clients. Key Competencies * Strategic and entrepreneurial mindset. * Strong analytical and problem-solving abilities. * Ability to influence without formal authority. * High degree of ownership and accountability. * Comfortable working in fast-paced and ambiguous environments. Success Measures * Revenue growth and deal conversion ratios. * Quality, scalability, and reusability of proposed solutions. * Client satisfaction and repeat business. * Smooth and effective transition from deal closure to delivery execution.

Data Science & Analytics Technical Lead

From $857/yr

Who we are! Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products – we want to hear from you. We lead with technical expertise, but that is just the tip of the iceberg – the ‘Why’ matters. At Platinum, we don’t hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients. You Platinum Technologies is seeking an Data Science \& Analytics Technical Lead to join our company. The Data Science \& Analytics Technical Lead provides leadership, technical direction, and oversight for data science, analytics, and decision-support activities. The position leads analytical initiatives, manages distributed teams, and ensures delivery of high-quality analytical products that support mission, operational, and strategic objectives. This role is onsite at MacDill AFB, Tampa, FL (Onsite) Required Clearance: Active TS/SCI security clearance Key Responsibilities * Lead the planning, execution, and delivery of data science and analytics initiatives. * Provide technical oversight and mentorship to analysts and data scientists. * Develop and implement analytical methodologies and reporting solutions. * Translate customer requirements into actionable analytical products. * Coordinate analytical activities across multiple organizations and stakeholders. * Establish standards and best practices for data analysis and reporting. * Evaluate and integrate emerging digital capabilities and technologies. * Present findings and recommendations to senior leadership. * Ensure data integrity, quality, and compliance with applicable standards. * Support strategic planning through data-driven insights. * Lead development of data governance and quality assurance processes. * Manage analytical roadmaps, priorities, and resource allocation. * Conduct technical reviews of analytical products and methodologies. * Develop performance metrics, KPIs, and measurement frameworks. * Support continuous process improvement and innovation initiatives. Required Qualifications * Active TS/SCI security clearance. * Bachelor of Science (BS) in Data Science, Computer Science, Statistics, Applied Mathematics, Information Systems, Engineering, or a related quantitative discipline. * Current DoD 8570-compliant certification. * Demonstrated experience leading technical teams and analytical initiatives. * Strong written and verbal communication skills. * Experience managing multiple projects and priorities simultaneously. * Knowledge of data management principles and analytics methodologies. * Experience developing executive-level briefings and reports. * Ability to communicate technical concepts to non-technical audiences. * Strong problem-solving and organizational skills. Desired Qualifications * Five (5) years of experience working in SOF analytical support. * Three (3) years of experience centrally managing distributed data support teams in SOF organizations at the headquarters echelon. * Three (3) years of experience with SOF digital capabilities. * Three (3) years of experience with SOF Headquarters elements, SOF Service Component Headquarters, and Theater Special Operations Commands. * Experience with enterprise analytics platforms and business intelligence tools. * Experience supporting geographically dispersed organizations. * Experience implementing data governance frameworks. * Experience mentoring and developing technical personnel. The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data & Analytics Lead | Houston, TX (Remote)

$73,875 - $98,500/yr

Together we change lives. Kelly is a team of experts driven by our belief that the impact of the right person in the right job is limitless. No matter where you are in your career journey you can apply your knowledge and passion to move people, organizations, and communities forward. You’ll have opportunities to grow your expertise and capabilities, both professionally and personally. As a team we celebrate inclusion, caring and collaboration. As a company we value your contribution, we work with integrity, and we always put people first – so your impact really will change lives. KellyOCG is partnering with a Fortune 50 energy client on a large-scale enterprise transformation program. We are seeking a Sr Business Analyst with deep data and analytics expertise to serve as the project-based Data \& Analytics Lead. In this role you will partner with the client’s analytics leadership to evaluate, plan, and implement how dashboards and reporting evolve through a multi-year transition. Our Sr Business Analyst – Data \& Analytics is accountable for: * Reviewing current dashboards, reporting logic, data sources, and dependencies to define requirements that support the transition state * Partnering with the client’s Data \& Analytics Lead to co-develop how dashboards and reporting should evolve through transition into steady state * Providing technical feasibility input, dependency mapping, risk identification, and execution approach during transition planning * Conducting impact assessments on existing dashboards and reporting related to platform changes, data model modifications, and taxonomy updates * Executing dashboard enhancements beyond base scope: updating reporting logic, calculations, structures, and designs to support evolving needs * Identifying gaps between current-state dashboards, platform-delivered reporting, and business needs — then developing and implementing solutions * Ensuring dashboards are tested, validated, accurate, and structured to maintain stability during transition without disrupting business continuity * Preparing comprehensive handoff documentation including technical specifications, data source mappings, calculation logic, known dependencies, and recommended maintenance procedures Essential Skills, Knowledge \& Experiences: * 5+ years of experience in data analytics, business intelligence, or reporting within enterprise environments * Hands-on experience designing, building, and enhancing dashboards and reports in Power BI, Tableau, or similar tools * Strong SQL skills for data querying, validation, and analysis * Strong analytical skills with the ability to assess data models, reporting logic, and upstream/downstream dependencies * Experience conducting impact assessments and translating strategic requirements into technical execution plans * Familiarity with data governance frameworks, ETL processes, and documentation standards * Strong communicator who can translate technical findings into clear, business-friendly language * Detail-oriented with a commitment to data accuracy and quality * Collaborative approach to working within a matrixed, multi-stakeholder environment * Self-directed and able to manage multiple priorities in a fast-paced program Preferred Experience: * Experience with Beeline, SAP Fieldglass, or similar VMS/contingent workforce platforms * Familiarity with cloud data platforms or enterprise data hubs * Background in managed service provider (MSP) or contingent workforce programs * Experience with data migration or platform transition projects Base pay range for this position is $73,875 - $98,500 per year. Final annual compensation will be based on experience and may vary by geographic location. Total compensation package including benefits as applicable to the position – understanding that each person has unique professional and personal needs focused on your total well-being. Explore our range of benefits at: Kelly Services | People Regular Staff Kelly is an equal opportunity employer committed to employing a diverse, equitable and inclusive workforce, including, but not limited to, race, gender, individuals with disabilities, protected veterans, sexual orientation, and gender identity. Equal Employment Opportunity is The Law.

Data Analytics Lead

From $30/yr

FOCUS Remote, United States of America Company Overview FOCUS provides cloud-based, core administration solutions (FOCUS Tech) and services (FOCUS Insurance Services) for P\&C insurance companies and MGAs. Using decades of industry experience, FOCUS is taking the risk out of insurtech for small, mid-size, and growth-focused insurance organizations. When you join FOCUS, you immediately become one of our most valued components – and we’re committed to investing in you. That means you can look beyond the paycheck and excellent benefits to an environment that will help you grow and achieve your professional goals through development and advancement opportunities and the support of our outstanding leaders and teammates. The Lead, Data Analytics plays a critical role within FOCUS' Group's Data \& Technology division, driving the strategic use of data to inform business decisions, improve operational efficiency, and enhance client outcomes. This senior individual contributor leads complex analytics initiatives, serves as a subject matter expert across data domains, and acts as a key liaison between data engineering, business stakeholders, and executive leadership. The ideal candidate is an analytically rigorous, business-savvy professional with deep expertise in insurance or financial services data environments. They excel at translating ambiguous business questions into structured analytical frameworks, mentoring junior analysts, and delivering actionable insights at scale. This role is suited for someone who thrives in a fast-paced, collaborative environment and is passionate about harnessing data to drive meaningful outcomes. Position Summary Analytics Strategy \& Insight Generation 30% * Design and lead end-to-end analytics projects addressing strategic business questions across underwriting, claims, distribution, and client experience. * Develop advanced statistical models, segmentation analyses, and predictive frameworks to surface trends from large, complex datasets. * Define and track key performance indicators (KPIs) and metrics that drive business accountability and operational improvement. * Identify data gaps and quality issues; partner with data engineering to resolve root causes and improve data integrity. * Synthesize findings into clear, compelling narratives for both technical and non-technical audiences. Data Modeling, Reporting \& Visualization 30% * Architect and maintain scalable data models and pipelines in collaboration with data engineering teams. * Build and own executive-level dashboards and self-service reporting tools using BI platforms (e.g., Tableau, Power BI, Looker). * Write complex SQL queries and leverage Python/R for statistical analyses, automation, and ad hoc investigations. * Document data definitions, methodology, and analytical logic to ensure reproducibility and organizational knowledge transfer. * Evaluate and implement new analytics tools and technologies to improve team efficiency and capability. Stakeholder Collaboration \& Business Partnership 25% * Partner with business leaders in Sales, Underwriting, Operations, and Finance to translate needs into analytical project plans. * Facilitate requirements-gathering sessions and proactively manage expectations around timelines, scope, and deliverables. * Present analytical findings and recommendations to senior leadership; clearly articulate business impact and suggested actions. * Serve as a subject matter expert for data governance, data definitions, and analytical best practices across the organization. * Collaborate with IT and data engineering on infrastructure priorities, ensuring analytics requirements are represented in the roadmap. Team Leadership \& Mentorship 15% * Provide guidance, code review, and technical mentorship to junior and mid-level analysts on the team. * Lead project planning and workload prioritization for analytics initiatives; coordinate cross-functional delivery timelines. * Champion a culture of data-driven decision-making and analytical rigor across the organization. * Contribute to hiring, onboarding, and professional development efforts within the analytics function. Education * Required: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field. * Preferred: Master's degree (MBA, MS in Data Science, Analytics, or related discipline). * Preferred: Relevant certifications such as Google Data Analytics, Tableau Desktop Specialist, or AWS Certified Data Analytics. Work Experience * Required: 6+ years of progressive experience in data analytics, business intelligence, or a related role, with at least 2 years in a lead or senior capacity. * Preferred: Experience in the insurance, financial services, or healthcare industry. * Preferred: Prior exposure to agency management systems, policy administration platforms, or insurance data warehouses. * Preferred: Experience working in an Agile/Scrum environment and managing analytics delivery within sprint cycles. Knowledge, Skills \& Abilities * Advanced proficiency in SQL; strong working knowledge of Python or R for analytical workflows. * Expertise with BI and visualization tools such as Tableau, Power BI, or Looker. * Proven ability to build and communicate complex analyses to executive and non-technical audiences. * Strong understanding of data modeling, data warehousing concepts, and ETL processes. * Excellent project management and organizational skills; ability to manage multiple priorities in a fast-paced environment. * High emotional intelligence with demonstrated ability to influence without formal authority. * Knowledge of insurance products, terminology, and regulatory environment is a strong plus. Supervisory Responsibility This role does not carry formal supervisory responsibility. However, the Lead, Data Analytics is expected to provide informal mentorship, technical guidance, and project leadership to junior and mid-level analysts within the team. Working Conditions Travel: Minimal; up to 10% travel may be required for team meetings, conferences, or client visits. Work Hours: Standard business hours (Monday–Friday); occasional flexibility required to meet project deadlines or collaborate across time zones. Why join the FOCUS Team? The FOCUS Difference: * Medical, Dental, Vision, Life, Pet; Flexible Spending Account * Competitive Salaries * 401K Match * Work-Life Balance: Personal Days, PTO Days, 12 Paid Holidays, Two Paid Days for Volunteer Service, Paid Parental Leave * Short and Long-Term Disability * Employee Support Programs, Including Mental Health * Tuition Reimbursement * Matching Charitable Gift Program * Lucrative Referral Program * Commuter Benefits * Flexibility: Remote and Hybrid Opportunities Available This position is not able to be performed in California, Colorado, New York or Washington. EEO Team Focus Insurance Group is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics. Disability Team Focus Insurance Group is committed to creating an inclusive and accessible workplace for all candidates, including those with disabilities. We are dedicated to ensuring equal employment opportunities and providing reasonable accommodations to qualified individuals with disabilities. If you require reasonable accommodations to participate in the application or interview process, please contact our HR department at hrinfo@peak6insurtech.com. We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process. Note to applicant: It is unlawful in Massachusetts and Maryland to require or administer a lie detector test as a condition of employment or continued employment. Please know that our company does not use lie detector tests in our hiring process.

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