8 jobs found

Payrate: $76.00 - $76.92/hr. Responsibilities: Position Activities and Tasks Should be able to design complex and high performance Data architecture Developing and maintaining strong relations with senior executives-developing new insights into the client's business model and pain points, and delivering actionable, high-impact results Participating and leading key engagements, in developing plans and strategies of data management processes and IT programs for the business, providing hands on assistance in data modeling, technical implementation of big data solutions Facilitating, guiding, and influencing the clients and teams towards right information technology architecture and becoming interface between Business leadership, Tech leadership and the delivery teams Leading and mentoring other developers within the team Identify the performance bottle-necks and resolve the same Should be able to work in a team Ability to produce high quality work products under pressure and within deadlines To coordinate with developers / other architects / other stakeholders and cross functional teams from organization Qualifications: 5-7 years of experience in designing and implementing large scale data processing/data storage/data distribution systems Extensive experience working with large data sets with hands-on technology skills to design and build robust Big Data solutions using Spark framework, GCP Big data services and industry standard frameworks Ability to work with a multi-technology/cross-functional teams and key stakeholders to guide/manage a full life-cycle solution Extensive experience in Relational and MPP database platforms like (GCP Bigquery/Hive/Cloud SQL etc) Open source Hadoop stack/Spark framework Strong understanding of Big Data Analytics platforms and ETL in the context of Big Data Excellent problem solving, hands-on engineering skills and communication skills Broad understanding and experience of real-time analytics Participate in full Software Development Life Cycle (SDLC) of the Big Data Solution Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI. Technical Skills Required: Any combination of below technical skills Hadoop : HDFS, MapReduce, Hive, Airflow DW : Bigquery, Hive Languages : Python, PySpark, Shell Scripting, SQL Scripting Cloud : GCP Big data native services Any RDBMS/DWBI technologies Spark(Mandatory): Spark on GCP Dataproc Education: Bachelor's degree in a technical field such as computer science, computer engineering or related field required. Skills: MapReduce Python Bigquery Pay Transparency: The typical base pay for this role across the U.S. is: $76.00 - $76.92/hr. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary. You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC's use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded. Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying "STOP" to :messages or by contacting . For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy

Genesis10 is currently seeking a Principal Data Lead for a remote or hybrid position with a Financial Services Consulting Firm located in Scottsdale, AZ or Raleigh, NC. This is a contract-to-hire opportunity. Compensation: $150.00 - $160.00 per hour, W2, based on qualifications Position Overview: This is a hands-on Lead Solutions Architect role for a candidate who designs, builds, and leads. As a working architect, you will spend a significant share of your time in the platforms themselves, configuring and extending Dynamics 365 Project Operations and Finance & Operations, modeling data in Dataverse and the Enterprise Data Warehouse, writing and reviewing transformation code, and tuning Power BI semantic models. You will lead a team of developers, data engineers, and analysts, setting the technical direction and owning design standards. Key Responsibilities: Serve as the lead technical architect for Dynamics 365 Project Operations, Finance & Operations and Dataverse, owning the end-to-end solution design Personally design and build data models, entities, integrations, workflows and extensions, and resolve complex configuration, performance and data issues Design and implement integrations between Dynamics 365, the Data Warehouse and other enterprise systems using Dataverse, Azure Data Factory, Fabric pipelines, APIs and the Power Platform Review and approve customizations, extensions and ALM practices (solution layering, source control, environment strategy and deployment pipelines) Translate business processes in finance, project delivery and operations into sound, maintainable system designs Own the architecture of the Enterprise Data Warehouse and Microsoft Fabric environment, including lakehouse and warehouse layers, dimensional models and data marts Build and review ingestion and transformation pipelines, SQL, notebooks and stored procedures Design dimensional and semantic models (facts, dimensions, conformed dimensions, slowly changing dimensions) that serve Power BI and AI workloads consistently Architect Power BI semantic models, dataflows, row-level security and deployment pipelines, and set performance and reuse standards for reports and dashboards Establish and maintain end-to-end data lineage from source systems through to Power BI reports and AI models Define, document and enforce design standards including naming conventions, modeling patterns, and coding standards Lead, hire, coach and develop a team of Dynamics developers, data engineers and BI developers Design the data foundations that AI and machine learning solutions depend on, ensuring governed, well-lineaged and high-quality data feeds Primary Requirements: Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering or a related field 8+ years of hands-on experience in solution, data or analytics architecture, including recent, direct build experience (not solely oversight) Deep hands-on experience with Dynamics 365 Finance & Operations and/or Project Operations, Dataverse and the Power Platform Strong hands-on expertise in data warehouse design and engineering: dimensional modeling, SQL, ETL/ELT pipelines, and Microsoft Fabric or Azure Synapse/SQL Demonstrated experience implementing and maintaining data lineage, metadata management and source-to-target documentation Proven track record of defining and enforcing design and coding standards through design reviews and code reviews 3+ years of experience directly managing technical staff, including hiring, coaching and performance management Advanced Power BI skills, including semantic modeling, DAX, row-level security and deployment pipelines Desired Skills: Microsoft certifications such as Dynamics 365 Finance and Operations Apps Solution Architect Expert, Fabric Analytics Engineer Associate or Azure Data Engineer Associate Experience with Microsoft Purview or other data catalog and lineage tools Experience in a professional services or project-based business Exposure to AI and machine learning data pipelines and responsible AI governance Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Job Description Job Summary: The BI Manager is responsible for leading the Company's Business Intelligence, enterprise reporting, analytics, and data governance functions. This role manages the centralized team responsible for official reports, dashboards, semantic models, data analysis, and related analytical solutions, ensuring business information is accurate, consistent, governed, and aligned with organizational priorities. The BI Manager serves as the primary point of coordination for business stakeholders requesting reporting, dashboards, analytics, and decision-support capabilities. This position works closely with department leaders to understand business requirements and translates those needs into prioritized work for Business Intelligence Engineers, Data Analysts, Report Developers, and other technical resources. The BI Manager partners closely with Software Engineering to understand application data, database structures, integrations, and system changes that affect reporting. The role establishes enterprise reporting standards, authoritative data sources, metric definitions, data ownership practices, and delivery processes that reduce duplicated reporting efforts and provide trusted information across the organization. Key Responsibilities: Leadership & Team Management: Lead, develop, and manage Business Intelligence Engineers, Data Analysts, Report Developers, and other resources assigned to the centralized reporting and analytics function. Establish clear priorities, responsibilities, performance expectations, development plans, and delivery standards for the BI team. Assign and balance work across the team based on business value, urgency, complexity, dependencies, and available capacity. Build a service-oriented culture focused on data accuracy, responsiveness, collaboration, documentation, governance, and continuous improvement. Report on team performance, delivery status, risks, capacity, and strategic BI initiatives to technology and business leadership. Enterprise Reporting Strategy & Governance: Establish and maintain enterprise reporting standards, metric definitions, certified datasets, semantic models, and data governance practices. Define authoritative reporting sources and promote consistent use of approved measures and business definitions across departments. Centralize and coordinate official reporting activities within the BI function to improve consistency, accountability, supportability, and reuse. Develop and maintain processes for report intake, prioritization, approval, development, testing, publication, lifecycle management, retirement, and ongoing support. Establish data ownership, stewardship, quality, lineage, access, retention, and documentation expectations in partnership with appropriate business and technical owners. Reduce duplicate and conflicting reports by promoting reusable datasets, governed semantic models, standardized KPIs, and shared reporting assets. Balance governed enterprise reporting with appropriate self-service analytics capabilities and user enablement. Stakeholder Engagement & Requirements Management: Serve as the primary point of contact for departments requesting reports, dashboards, analytics, data extracts, and related Business Intelligence solutions. Meet with business leaders, process owners, and users to understand objectives, operational processes, reporting needs, decision points, and success criteria. Translate business requirements into clear scope, user stories, data requirements, acceptance criteria, priorities, and delivery plans for BI and technical teams. Manage competing requests across departments while balancing business value, urgency, effort, governance standards, dependencies, and available resources. Facilitate requirements workshops, design reviews, demonstrations, user acceptance testing, release communication, and post-implementation feedback. Communicate priorities, timelines, status, risks, limitations, and data-quality concerns clearly to stakeholders and leadership. Software Engineering & Data Coordination: Partner closely with Software Engineering to understand application architecture, database structures, APIs, integrations, business rules, and technology roadmaps that affect reporting and analytics. Participate in project planning and solution reviews to ensure data, reporting, governance, and analytical requirements are considered during system design and implementation. Coordinate changes to data pipelines, warehouse structures, semantic models, datasets, dashboards, and reports resulting from application, database, integration, or process changes. Work with Software Engineering to define reliable methods for exposing, transforming, validating, and supporting data used by enterprise reporting. Maintain visibility into planned system changes and ensure downstream reporting impacts, dependencies, testing needs, and communication requirements are identified. Support the creation and maintenance of data dictionaries, business definitions, source mappings, lineage documentation, and technical dependencies. BI Platform, Data Warehouse & Delivery Oversight: Own the strategy, roadmap, standards, and operational oversight for Power BI, the enterprise data warehouse, reporting datasets, semantic models, and related BI capabilities. Oversee the design, development, testing, deployment, security, performance, reliability, and support of enterprise reports, dashboards, data models, and analytical solutions. Guide the design and maintenance of ETL/ELT pipelines, dimensional models, curated datasets, and data warehouse structures supporting BI and analytics needs. Review and approve significant BI architecture, modeling, dashboard, workspace, security, and data-governance decisions. Establish standards for Power BI workspaces, access, sharing, deployment, certification, refresh, monitoring, ownership, and support. Monitor platform and report performance, data-refresh reliability, usage, adoption, data quality, and scalability; coordinate corrective and improvement actions. Manage relevant vendors, consultants, licensing, and technology evaluations supporting BI and data initiatives. Perform other duties as assigned. Qualifications: Education and Experience: Bachelor's degree in Information Systems, Business Intelligence, Data Analytics, Computer Science, Business Administration, or a related field preferred; an equivalent combination of relevant education and professional experience may be considered. Five or more years of progressively responsible experience in business intelligence, enterprise reporting, analytics, data warehousing, data governance, or a related discipline preferred. Two or more years demonstrated leadership with BI teams, reporting functions, or complex cross-functional data initiatives preferred. Experience leading reporting intake, requirements management, prioritization, stakeholder communication, and delivery across multiple business functions. Experience with Power BI, enterprise reporting platforms, semantic models, data warehouses, relational databases, and data integration concepts. Telecommunications, broadband, ISP, OSS/BSS, CRM, GIS, network operations, customer operations, or other data-intensive operational experience preferred. Microsoft Power BI, data management, business analysis, project management, or comparable certifications are valued but not required. Skills and Competencies: Strong leadership and people-management skills with the ability to develop technical and analytical professionals and establish clear accountability. Strong understanding of enterprise reporting, data governance, data quality, dimensional modeling, semantic models, ETL/ELT processes, and data warehouse concepts. Working knowledge of Power BI administration and governance, report and dashboard design, DAX, SQL, data modeling, and relational databases. Ability to understand business processes and convert stakeholder objectives into clear reporting, analytical, data, and technical requirements. Ability to collaborate effectively with Software Engineering and understand the reporting impact of application, database, integration, and architectural changes. Ability to define authoritative metrics, resolve conflicting reporting definitions, and guide decisions involving data ownership, quality, access, and governance. Strong prioritization, project coordination, problem-solving, documentation, and organizational judgment. Excellent communication and facilitation skills with the ability to explain complex data concepts, risks, tradeoffs, and status to technical and non-technical audiences. Ability to balance long-term reporting architecture and governance with timely delivery of immediate business needs. Working Conditions: Ability to communicate effectively orally and in writing and operate standard office technology and equipment. Ability to travel to company locations and vendor or partner sites as business needs require. Requires prolonged periods of sitting at a desk and working on a computer workstation. Frequent participation in stakeholder meetings, requirements workshops, design reviews, demonstrations, and planning activities. Must be able to maintain visual focus on screens, dashboards, documents, data models, and written materials for extended periods. . click apply for full job details

Job Description Job Description Job Description: Business Intelligence (BI) Analyst - Retail Analytics Client: Skechers Location: Los Angeles, CA (Onsite - 5 days/week) - Manhattan Beach area Role Type: All-round BI Resource About the Role Skechers is looking for an experienced, all-round Business Intelligence professional to join their onsite team in Los Angeles. This role sits at the intersection of retail business operations and modern BI/analytics toolsets, helping translate business needs into decision-intelligence solutions powered by analytics, AI, and data science. Key Responsibilities Partner with business stakeholders across retail functions (merchandising, supply chain, store operations, finance) to understand processes, pain points, and decision-making needs. Translate business requirements into BI solutions - dashboards, reports, data models - that drive actionable insights. Design, build, and maintain BI dashboards and reports using tools such as Power BI, Tableau, or similar platforms. Work with data engineering/data science teams to incorporate AI/ML-driven insights into BI deliverables (e.g., demand forecasting, customer segmentation, inventory optimization). Perform data analysis to identify trends, patterns, and opportunities relevant to retail performance (sales, inventory, customer behavior, etc.) Ensure data accuracy, consistency, and governance across BI reporting layers. Act as a liaison between business teams and technical teams, ensuring BI outputs align with business context and strategic goals. Continuously evaluate and recommend improvements to BI processes, tools, and reporting frameworks. Required Skills & Experience Proven experience as a BI Analyst/Developer/Consultant, ideally within retail or consumer goods industries. Strong understanding of retail business processes (sales, merchandising, inventory, supply chain, customer analytics). Hands-on expertise with BI tools (Power BI, Tableau, Qlik, or similar). Working knowledge of SQL and data modeling concepts. Exposure to AI/ML concepts and how they integrate into BI/decision-intelligence workflows. Strong communication and stakeholder management skills - able to bridge business and technical conversations. Experience with data warehousing concepts and ETL processes is a plus. Nice to Have Experience with cloud data platforms (Azure, AWS, GCP). Familiarity with data science workflows (Python/R) for advanced analytics. Prior experience working with retail/apparel/footwear brands.

Job Description Job Description Product Owner, Business Intelligence, Automation and AI Position Summary: At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. The Product Owner, Business Intelligence, Automation and AI plans and coordinates the development, enhancement, prioritization, and adoption of AI, automation, data warehouse, and Power BI reporting products with TireHub's business partners. This position provides product leadership and subject matter expertise across intelligent automation, applied AI, enterprise data, analytics, and reporting solutions. The Product Owner serves as the primary liaison between business stakeholders, technical teams, vendors, and leadership to ensure product roadmaps, backlogs, and delivered solutions align with TireHub's strategic priorities, operational needs, governance standards, and measurable business value. This position reports to Director, Enterprise Applications. The individual must exhibit the following core TireHub commitments: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to do is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we don't give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: Owns, maintains, and communicates the short-term and long-term product roadmap for AI, automation, enterprise data, data warehouse, and Power BI reporting capabilities. Partners with business leaders and stakeholders to identify, evaluate, and prioritize high-value use cases for AI, workflow automation, data products, dashboards, analytics, and reporting solutions. Maintains, and accounts for product team progress to business stakeholders in bi-weekly prioritization. Works with assigned architect and business analyst on ongoing process of backlog grooming and elaboration to prepare actionable content for sprints. Works with technical leads in assigned areas to plan appropriate level of resource augmentation with offshore partners. Works with the scrum master on fine tuning the agile process for the product team through retrospectives and metric analysis. Creates, maintains, and prioritizes product backlog items, user stories, epics, acceptance criteria, and delivery priorities based on business value, urgency, customer needs, resource availability, and strategic alignment. Acts as the primary point of contact between business stakeholders, data teams, automation engineers, AI enablement teams, vendors, and IT leadership to translate business needs into clear, actionable product requirements. Guides Agile delivery teams through successful delivery of committed sprints, ensuring requirements are clearly understood, business priorities are aligned, and blockers are resolved quickly. Collaborates with AI and automation technical resources to define, evaluate, pilot, and scale solutions such as workflow automation, robotic process automation, AI agents, copilots, generative AI-enabled processes, and intelligent business workflows. Works with data engineering and BI teams to support the data warehouse lifecycle, including source data intake, data modeling, transformation requirements, data quality expectations, metadata standards, and reporting needs. Partners with Power BI developers and business stakeholders to define trusted datasets, dashboards, reports, KPIs, data definitions, report adoption plans, and actionable insights for leadership and operational teams. Supports data governance, AI governance, security, privacy, and access control requirements by ensuring solutions follow TireHub standards for responsible AI use, data protection, and approved business processes. Prepares business cases, value estimates, adoption plans, and success metrics for AI, automation, data warehouse, and reporting initiatives. Evaluates emerging AI, automation, data, and analytics tools and capabilities, coordinating pilots and proofs of concept to determine business value and implementation feasibility. Facilitates QA, UAT, and validation activities to ensure delivered solutions meet business requirements, acceptance criteria, data quality expectations, and reporting accuracy standards. Monitors product performance, adoption, user feedback, and operational outcomes to continuously improve AI, automation, data, and reporting products. Communicates product priorities, delivery progress, risks, dependencies, and value realization to stakeholders and leadership in clear business terms. Facilitates problem resolution and removes blockers that are preventing delivery progression or product adoption. Participates and maintains ongoing training requirements through in-class, in-person, or computer-based learning modules, as assigned. Ensures individual adherence to TireHub policies, procedures, and guidelines. Completes other tasks assigned by their supervisor or another member of Leadership, as requested. Competencies: Product Vision & Strategy: Defines and communicates clear product direction, roadmaps, priorities, and value outcomes for AI, automation, data, and reporting capabilities. Innovation Orientation: Commits to creating and exploring new approaches, particularly at the intersection of AI, automation, and analytics, that enhance business performance. Data-Driven Decision Making: Uses analytics, KPIs, product metrics, business outcomes, and stakeholder feedback to guide product decisions and prioritization. Business & Financial Acumen: Understands ROI, cost savings, efficiency gains, risk reduction, adoption, and business value when evaluating product investments and delivery decisions. Optimizes Work Processes: Identifies and implements efficient processes, automation opportunities, and continuous improvement practices to improve business outcomes. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT teams, vendors, and leadership to achieve shared objectives. Agility and Adaptability: Thrives in an Agile environment and embraces new technologies, methods, and business priorities in a fast-moving AI, automation, and analytics landscape. Communication: Communicates technical concepts, data insights, product priorities, and delivery progress clearly to both technical and non-technical audiences. Education and Experience: Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Engineering, or a related field required; an equivalent combination of education and experience will be considered. 5+ years of experience in product ownership, business analysis, product management, data analytics, business intelligence, automation, enterprise applications, or a related technology delivery role. 2+ years of experience applying Agile project management methodologies, preferably using JIRA or a similar tool. Experience creating product roadmaps, managing backlogs, writing user stories, defining acceptance criteria, and supporting Agile and Scrum delivery teams. Experience working with AI, automation, workflow modernization, Power Platform, Copilot, generative AI, or related emerging technology capabilities preferred. Experience with data warehouse, data lake, Lakehouse, ETL/ELT, data modeling, data governance, or enterprise reporting concepts preferred. Experience with Power BI reporting, including dashboards, datasets, KPIs, data visualization, and report adoption preferred. Experience translating business requirements into technical specifications for data, reporting, automation, or AI-enabled solutions. Strong organizational skills and demonstrated ability to manage multiple initiatives and drive them to successful, on-schedule completion. Experience working and collaborating with remote or geographically distributed team members across multiple time zones. Experience in distribution, supply chain, retail, logistics, or a similar industry preferred. Required Knowledge, Skills, and Abilities: Strong understanding of product ownership practices, including Agile delivery methodologies, backlog management, sprint planning, and stakeholder prioritization. Ability to analyze business processes, identify operational pain points, and translate improvement opportunities into clearly defined product requirements for AI, automation, data, and reporting solutions. Working knowledge of Power BI, including dashboard and report development, dataset management, KPI definition, data definitions . click apply for full job details

Job Family: Data Science Consulting Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do: Our consultants on the AI & Data team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve budget justifications and decision-making. This individual will support organizational and mission goals within the Federal Government. This role requires hands-on technical expertise and strong communication skills. Responsibilities include, but are not limited to: Design and development of data visualization and dashboard solutions to provide required analytics insights using Tableau. Leading and reviewing data cleaning scripts using tools such as Databricks, SQL, and Python. Maintain and enhance dashboards, analytics solutions, and reporting tools used in operational and strategic decision-making. Identify opportunities for workflow optimization, automation, and improved data handling, and contribute to implementation efforts. Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. Focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development. Support business development (such as RFP, RFQ, and RFI responses and white papers), internal firm initiatives, and ongoing professional development. What You Will Need: Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST" A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related STEM field is required ONE (1) or more year of experience in business analytics, data analysis, data engineer, data visualization or data science What Would Be Nice To Have: Strong communication and presentation skills and ability to explain technical topics to non-technical audiences. Ability to gather requirements and present to clients with strong written and verbal communication skills. Familiarity with dashboard tools such as Tableau or Power BI. Familiarity with cloud-based analytics environments (such as Databricks, Snowflake, or Impala). Experience performing analytics and data transformation using SQL, Python, and R. Knowledge of ETL processes and tools for data integration. The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Description Job Description Job Description Technical Team Lead - Business Intelligence Platform Columbia, MD Full Time TS/SCI with Polygraph Required Position: Technical Team Lead (Software Engineer, Level 3) Location: Columbia, MD (on-site) Category: Software Engineering / Technical Leadership / Data Engineering Clearance Requirement: Active TS/SCI with Polygraph Compensation: $200,000 - $250,000 (annualized USD) Experience Requirement: 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of relevant experience in lieu of a degree Description Serve as the Technical Team Lead for the Mission Intelligence (MI) team, supporting data engineering, analytics, and automation initiatives. The MI team operates a business intelligence platform that enables enterprise-wide, data-driven decision-making. Your primary responsibility is to ensure the reliability, availability, and quality of this high-impact platform. You'll also contribute to the MI team as a systems engineer, software engineer, and analytic developer - designing, developing, and integrating solutions that involve the analysis of large data sets to establish operational visibility and deliver actionable insights. Responsibilities Develop analytics to combine, normalize, and enrich large data sets. Design and implement ETL workflows to convert and normalize data. Augment the platform with new tools or technologies. Gather stakeholder requirements, assess available data, and develop solutions for delivering key metrics. Break down tasks into actionable steps that demonstrate consistent progress. Remove technical obstacles, manage expectations, and support team execution. Define and communicate task scope through clear documentation and tracking systems. Enable the team to integrate Site Reliability Engineering practices into the operational platform. Mentor and guide junior software engineers and data scientists. Produce project management materials such as agendas, meeting notes, and design decision records. Skills Requirements Experience supporting enterprise-scale platforms. Strong Java development skills. Familiarity with authentication and authorization platforms and standards. Experience with service containerization and deployment with Docker/Kubernetes. Familiarity with Git for software version control. Experience with Atlassian Tools (Jira, Confluence). Customer-service mindset. Experience leading technical teams. Effective interpersonal skills for collaborating across diverse backgrounds and skill sets. Experience or exposure to Site Reliability Engineering (SRE) principles. Willingness to contribute to internal and customer-facing documentation. Nice to Haves Experience with Apache NiFi. Experience with Elasticsearch and Kibana. Familiarity with Kubernetes. Knowledge of map-reduce analytic environments (e.g., Hadoop). Python experience. Prior experience in cyber operations or capability development. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.