{"id":1202681,"url":"https://alion.io/job/apex-companies-analytics-engineer","title":"Analytics Engineer","company":{"id":5618,"name":"Apex Companies","domain":"apexcos.com","url":"https://alion.io/company/apex-companies","size_band":"1001-5000","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":28,"ghost_share":0,"stale_share":0.536,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":120000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-09-24T19:39:05Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-25T02:47:16Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Are you driven to grow, lead, and make a meaningful impact? At Apex, we’re building more than a consulting and engineering firm-we’re creating a place where your career accelerates, your contributions matter, and your potential is fully realized. We believe your growth is our growth, which is why we invest in your development at every stage of your career. Here, you’ll work on projects that shape communities, protect the environment, and create lasting impact, all while being empowered with the autonomy and flexibility to do your best work.\nFueled by high-quality delivery, exceptional client retention, and strategic acquisitions, Apex Companies continues to rank among the fastest-growing firms in the AEC industry, recently recognized by the Zweig Group for our industry-leading growth. Our success is grounded in strong leadership, a collaborative culture, and a shared commitment to delivering exceptional outcomes.\nAs we continue to expand, we're looking for high-performing professionals who are ready to lead, collaborate, innovate, and create impact. At Apex, you help shape what's next. When we succeed together, we share in that success. All Apex positions are eligible for annual bonus opportunities, reinforcing our commitment to recognizing and rewarding meaningful contributions that drive our collective growth.\nRole Overview\nWe are seeking an Analytics Engineer to join our Corporate Data & Analytics team. This role combines business partnership, analytics development, and data engineering to deliver scalable, governed data solutions across the organization. These solutions will support enterprise analytics, governed self-service, and emerging AI-enabled experiences.\nThe Analytics Engineer will work closely with business stakeholders to understand operational challenges, gather and document requirements, define meaningful KPIs, and translate those needs into reliable data products. This individual will design, develop, and maintain end-to-end solutions within Microsoft Fabric, including pipelines, notebooks, lakehouses, warehouses, data models, and semantic models. Power BI will remain an important delivery channel, while the broader focus is creating trusted, reusable data products that can support reporting, self-service analytics, AI assistants, agents, APIs, and future business applications.\nThe ideal candidate can move comfortably between business conversations and hands-on technical delivery, explain complex concepts clearly, and build solutions that are accurate, maintainable, and easy for the business to use.\nKey Responsibilities\nBusiness Partnership & Solution Design\nPartner with business leaders, subject-matter experts, and end users to understand business processes, challenges, goals, and reporting needs.\nLead discovery and requirements gathering sessions; document business rules, data definitions, use cases, acceptance criteria, and success measures.\nTranslate business needs into scalable data solutions, including curated data products, semantic models, self-service datasets, dashboards, AI-ready data assets, and operational reporting.\nAdvise stakeholders on KPI design, metric consistency, solution options, and when reporting, self-service, automation, or AI-enabled experience best fit the business need.\nCommunicate solution options, tradeoffs, progress, and risks clearly to both technical and non-technical\nData Products, Semantic Models & Analytics Experiences\nDesign and build reusable data products and semantic models that support Power BI reports, dashboards, scorecards, self-service analytics, and future AI-enabled experiences.\nDevelop and maintain reusable semantic models, relationships, hierarchies, calculations, and business\nCreate and optimize DAX measures with a focus on accuracy, performance, consistency, and\nPartner with business owners to validate KPIs, reconcile results, and establish trusted\nEnable governed self-service analytics and AI readiness through certified data assets, business-friendly semantic models, clear documentation, and user education.\nMicrosoft Fabric & Data Engineering\nDesign, build, and support data pipelines, notebooks, lakehouses, warehouses, and related components within Microsoft\nDevelop ingestion and transformation processes using SQL, Python, Fabric Data Factory pipelines, and\nBuild and maintain Bronze, Silver, and Gold data layers using reusable, domain-aligned patterns that support reporting, self-service analytics, and trusted AI consumption.\nIntegrate data from enterprise applications, APIs, files, cloud platforms, and on-premises\nImplement monitoring, validation, error handling, and performance improvements to support dependable production solutions.\nData Modeling, Quality & Governance\nDesign dimensional models, star schemas, curated data marts, and analytical models that support scalable enterprise reporting.\nProfile and validate source data; identify quality issues and work with business and system owners to resolve\nDocument data lineage, transformation logic, KPI definitions, solution architecture, dependencies, support procedures, and intended consumption across reports, self-service, and AI-enabled solutions.\nFollow and help strengthen standards for naming, security, access, testing, deployment, and lifecycle\nPromote reuse, consistency, business ownership, and responsible use of data across the\nDelivery, Support & Continuous Improvement\nOwn solutions through discovery, design, development, testing, deployment, adoption, and ongoing\nWork within source control and CI/CD practices to deliver reliable, traceable changes across\nTroubleshoot data, model, refresh, and report issues and perform root-cause\nIdentify opportunities to reduce manual reporting, retire duplicate solutions, expand self-service, and apply AI or automation where it provides practical business value.\nShare knowledge with teammates and business users through documentation, demonstrations, and working\nQualifications\nRequired\nBachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, Business Analytics, or a\nrelated field, or equivalent practical experience.\nProfessional experience in analytics engineering, business intelligence, data engineering, or a similar\nDemonstrated ability to gather requirements, understand business processes, and translate needs into technical\nStrong experience developing enterprise data and analytics solutions, including semantic models, DAX, and Power BI delivery.\nStrong SQL skills and experience working with relational and analytical data\nExperience building or supporting ETL/ELT processes, data pipelines, and data\nKnowledge of dimensional modeling, star schemas, data warehousing, and data quality\nAbility to communicate effectively with business stakeholders, technical teams, and\nAbility to manage multiple priorities, work independently, and take ownership of\nPreferred\nHands-on experience with Microsoft Fabric, including Data Factory pipelines, Lakehouse, Warehouse, notebooks, and semantic models.\nExperience developing data transformations or automation using Python or\nExperience with Git, Azure DevOps, deployment pipelines, testing, and CI/CD\nExperience integrating data from REST APIs, SaaS platforms, SQL Server, and cloud-based\nExperience with data governance, lineage, metadata, access controls, KPI or data-dictionary management, and preparing governed data for self-service or AI use cases.\nExperience supporting enterprise functions such as Finance, Sales, Project Management, Human Resources, Health & Safety, or Operations.\nExperience in the architecture, engineering, construction, environmental, or professional-services\nFamiliarity with project-based business metrics such as backlog, utilization, revenue, profitability, project performance, and resource planning.\nCore Competencies\nBusiness partnership: Builds trust, asks effective questions, and converts business needs into clear\nTechnical delivery: Builds complete, supportable data solutions across engineering, modeling, semantic layers, visualization, and AI-ready consumption.\nAnalyticalthinking: Investigates data, validates assumptions, and communicates meaningful\nQuality and ownership: Takes responsibility for accuracy, documentation, maintainability, and user\nCommunication and collaboration: Explains complex information clearly and works effectively across business functions, IT, vendors, and Data & Analytics teammates.\nContinuous improvement: Looks for better patterns, automation opportunities, and reusable\nTechnology Environment\nPrimary platform: Microsoft Fabric, with Microsoft Power BI as a key analytics and reporting\nLanguages: SQL, DAX, and\n Key capabilities: Fabric Data Factory, pipelines, notebooks, Lakehouse, Warehouse, semantic models, Power BI, APIs, Git, Azure DevOps, governed self-service, and AI-ready data products.\nWhy Join Us\nThis is an opportunity to help Apex build a modern, governed data and analytics capability while working directly with business teams on meaningful operational and strategic needs. You will help shape how trusted data products are designed, delivered, adopted, and reused across Power BI, self-service analytics, automation, and carefully governed AI- enabled solutions.\nWhy you'll love working for us:\nCompany-subsidized medical and\nCompany-paid life, short- and long-term\n401k match, tuition assistance, and\nCross-training and the ability to work on a variety of\nPerformance-based bonuses or other\nWorking with the best and brightest in the\nA national firm with locations across the United\n\nApex Job Title: IT Systems Administrator\nReq ID: 12144\n\nAnnual Expected Pay Range\n$120,000—$150,000 USD\nWe believe in equality for all and celebrate the diversity and differences of our employees, customers, and communities. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Apex aims to make apexcos.com accessible to all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, please contact  or (301) 417-0200. Likewise, feel free to reach out to us if you would like to view or discuss Apex policy related to equal employment opportunity or have any related concerns. EO/AA/VEV/Disabled Employer\nTO ALL RECRUITMENT AGENCIES: Apex Companies does not accept unsolicited agency resumes. Please do not forward resumes for any of our job postings to our career’s sites, or to any employees of Apex Companies or affiliates. Apex Companies is not responsible for any fees related to unsolicited resumes.","description_format":"text","description_chars":10727,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Science & Engineering","Software","Project Management"],"lifecycle":[{"event":"open","at":"2026-09-24T21:50:40Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":42,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-09-25T04:11:09Z"},"pay":{"stated_usd_annual":150000,"is_top_pay":true},"html_url":"https://alion.io/job/apex-companies-analytics-engineer","json_url":"https://alion.io/job/apex-companies-analytics-engineer.json","meta":{"generated_at":"2026-09-25T04:11:09Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4547,"day_limit":5000,"remaining_today":453,"minute_limit":60,"resets_at":"2026-09-26T00:00:00Z"}}}