{"id":117579,"url":"https://alion.io/job/ttec-digital-reporting-senior-analyst","title":"Reporting Senior Analyst","company":{"id":3352,"name":"TTEC Digital","domain":"ttecdigital.com","url":"https://alion.io/company/ttec-digital","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":12,"ghost_share":0,"stale_share":0.75,"repost_share":0.083,"time_to_fill_p50_days":84,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15000,"max_usd":30000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"MS SQL","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-19T11:28:02Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-10-16T20:35:15Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":58},"description":"Job Description\nMicrosoft Fabric Analytics BA and Developer\nOverview\nTTEC Digital is seeking a Microsoft Fabric Analytics BA and Developer to help design, build, and support enterprise analytics solutions across Microsoft Fabric, Power BI, OneLake, lakehouses, warehouses, semantic models, data pipelines, and reporting experiences. This hybrid role bridges business analysis and hands-on development: partnering with stakeholders to define reporting needs, translate requirements into analytics-ready designs, and deliver governed, scalable data products that improve decision-making across the organization. The ideal candidate is comfortable moving between business conversations, data modeling, report development, testing, documentation, and production support within an Agile delivery model.\nResponsibilities\n1. Business Analysis and Requirements Definition\nPartner with business stakeholders, product owners, analysts, and technical teams to understand reporting needs, business processes, data definitions, and decision-making objectives.\nTranslate business requests into clear requirements, user stories, acceptance criteria, process flows, data mappings, and report specifications.\nFacilitate discovery sessions to clarify source systems, metric definitions, calculation logic, security needs, refresh expectations, and user experience requirements.\nIdentify gaps, dependencies, risks, and data quality concerns early, and recommend practical options that balance speed, scalability, governance, and business value.\nMaintain functional documentation that supports development, testing, adoption, training, and long-term support.\n2. Microsoft Fabric Solution Development\nDesign, develop, test, and support analytics assets in Microsoft Fabric, including lake houses, warehouses, dataflows, pipelines, semantic models, and Power BI reports.\nBuild and maintain data ingestion, transformation, and orchestration patterns using Fabric Data Factory, Dataflows Gen2, notebooks, SQL, or other approved Fabric capabilities.\nCreate curated, analytics-ready data structures using OneLake, lakehouse, warehouse, and dimensional modeling patterns.\nDevelop reusable semantic models that support consistent measures, relationships, hierarchies, security, performance, and enterprise reporting standards.\nApply Microsoft Fabric best practices for workspace organization, item ownership, deployment readiness, monitoring, and supportability.\n3. Power BI Reporting, Analytics, and Data Modeling\nDesign, build, and enhance Power BI reports, dashboards, and analytical experiences that are intuitive, performant, and aligned to stakeholder needs.\nDevelop semantic models, DAX measures, relationships, calculation logic, and report interactions that support accurate and reusable analytics.\nOptimize report performance, model design, refresh patterns, and user experience across enterprise-scale datasets.\nSupport data validation, reconciliation, and metric governance to ensure business users trust the outputs they consume.\nCollaborate with business users to interpret findings, refine reporting requirements, and improve adoption of analytics solutions.\n4. Data Governance, Security, and Lifecycle Management\nFollow enterprise standards for data access, workspace security, sensitivity, privacy, retention, compliance, and operational support.\nImplement and validate appropriate security patterns, including workspace permissions, item access, row-level security, object-level security, and data-sharing controls where applicable.\nUse approved lifecycle practices such as Git integration, deployment pipelines, Azure DevOps, version control, release documentation, and deployment validation.\nDocument data lineage, source-to-target mappings, transformation logic, model assumptions, refresh dependencies, and support procedures.\nPartner with administrators, architects, and data owners to align Fabric solutions with governance, capacity, monitoring, and platform standards.\n5. Agile Delivery, Testing, and Stakeholder Enablement\nParticipate actively in sprint planning, backlog refinement, demos, retrospectives, solution design discussions, and release readiness activities.\nLead or support unit testing, data validation, system testing, user acceptance testing, defect triage, and production of hyper care.\nCreate clear release notes, training materials, support documentation, and adoption guidance for analytics consumers.\nCommunicate progress, risks, dependencies, data limitations, and technical tradeoffs clearly to both technical and non-technical stakeholders.\nProvide knowledge sharing and enablement to business users, analysts, report developers, and support teams to improve analytics maturity and self-service adoption.\nQualifications\nRequired Skills and Experience\nBachelor's degree in information systems, Computer Science, Data Analytics, Business, or a related field; or equivalent professional experience.\n4+ years of experience in business intelligence, analytics, data analysis, data engineering, reporting, or related technology delivery.\nHands-on experience with Microsoft Fabric, Power BI, or related Microsoft analytics technologies.\nStrong business analysis skills, including requirements gathering, user story creation, acceptance criteria, data mapping, process analysis, and stakeholder facilitation.\nExperience building Power BI reports, dashboards, semantic models, DAX measures, and reusable reporting datasets.\nWorking knowledge of SQL, dimensional modeling, data quality validation, source-to-target mapping, and analytical data design.\nFamiliarity with Microsoft Fabric concepts such as OneLake, lakehouses, warehouses, data pipelines, dataflows, notebooks, deployment pipelines, and workspace management.\nAbility to troubleshoot reporting, model, refresh, data quality, permissions, and production support issues across development, test, and production environments.\nExcellent written and verbal communication skills, including the ability to explain data concepts and technical tradeoffs clearly to non-technical stakeholders.\nPreferred Skills\nMicrosoft Fabric Analytics Engineer Associate, Power BI Data Analyst Associate, Fabric Data Engineer Associate, or related Microsoft certification.\nExperience with Microsoft Fabric lakehouse or warehouse architecture, Medallion patterns, Direct Lake, shortcuts, mirroring, or enterprise-scale semantic model design.\nExperience with PySpark, KQL, T-SQL, Dataflows Gen2, Fabric notebooks, Real-Time Intelligence, or advanced data pipeline development.\nExperience with Git integration, Azure DevOps, deployment pipelines, release management, and governed analytics lifecycle practices.\nFamiliarity with Microsoft Purview, data cataloging, lineage, sensitivity labels, data governance, and enterprise security practices.\nExperience working in a Microsoft partner, consulting, professional services, CX, contact center, or enterprise IT environment.\nKey Attributes\nBusiness-outcome mindset: connects analytics capability to better decisions, operational visibility, productivity, and measurable business value.\nAnalytical curiosity: asks strong questions, validates assumptions, and digs into data issues until the business meaning is clear.\nSystems thinking understands how source systems, pipelines, data models, security, reports, governance, and adoption work together across an analytics platform.\nDelivery discipline: moves quickly while maintaining quality, documentation, testing, traceability, and supportability.\nGovernance-minded: designs with access, data protection, metric consistency, lineage, and long-term ownership in mind from the start.\nCollaborative: builds productive relationships with business stakeholders, data owners, analysts, architects, administrators, developers, and support 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open","p_open":1,"p_active":0.565,"p_room":0.9,"age_days":57,"expected_fill_days":84,"reasons":["conf:3","stale_co","velocity","win:mid"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ttec-digital-reporting-senior-analyst","json_url":"https://alion.io/job/ttec-digital-reporting-senior-analyst.json","meta":{"generated_at":"2026-10-16T22:26:40Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per 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