{"id":1260637,"url":"https://alion.io/job/sutherland-data-analyst","title":"Data Analyst","company":{"id":6648,"name":"Sutherland","domain":"sutherlandglobal.com","url":"https://alion.io/company/sutherland","size_band":"201-500","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":40,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":12000,"max_usd":31000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":937},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","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":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-25T17:14:33Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-30T19:31:26Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Artificial Intelligence. Automation. Cloud Engineering. Advanced Analytics.\nFor Enterprises, these are key factors of success. For us, they're our core expertise.\nWe work with global iconic brands. We bring them a unique value proposition through market-leading technologies and business process excellence. At the heart of it all is Digital Engineering - the foundation that powers rapid innovation and scalable business transformation.\nWe've created 363 unique and independent inventions, 250 of which are AI-based and rolled up under several patent grants in critical technologies. Leveraging our advanced products and platforms, we drive digital transformation at scale, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless \"as-a-service\" model.\nFor each company, we provide new keys for their businesses, the people they work with, and the customers they serve. With proven strategies and agile execution, we don't just enable change - we engineer digital outcomes.\nSutherland\nDigital Outcomes.\nData Engineering & Fabric Development\nDesign and develop data pipelines using Microsoft Fabric Data Factory.\nCreate and maintain Lakehouse and Warehouse solutions within Microsoft Fabric.\nImplement and manage Bronze, Silver, and Gold Layer architectures.\nDevelop scalable ETL/ELT pipelines for ingesting and transforming data from multiple sources.\nMonitor pipeline performance and troubleshoot data quality issues.\nData Modeling\nDesign and develop Fact Tables and Dimension Tables following dimensional modeling principles.\nCreate and maintain Star Schema and Snowflake Schema data models.\nDefine surrogate keys, business keys, and Slowly Changing Dimensions (SCD) where required.\nOptimize data models for reporting and analytics performance.\nSQL Development\nWrite complex SQL queries for data extraction, transformation, and validation.\nBuild views, stored procedures, and reusable query frameworks.\nPerform query optimization and performance tuning.\nPython Development\nDevelop Python-based data transformation and validation scripts.\nUse libraries such as:Pandas\nNumPy\nPySpark\nRequests\n\nAutomate data quality checks and reconciliation processes.\nAnalytics & Reporting\nPartner with business stakeholders to gather reporting and analytics requirements.\nDevelop datasets optimized for Power BI reporting.\nSupport creation of KPIs, metrics, and business data definitions.\nEnsure data governance and consistency across analytical solutions.\n Our most successful candidates will have:\n3-7 years of experience in Data Analytics, Data Engineering, or Business Intelligence.\nMinimum 2 years of hands-on experience with Microsoft Fabric or Azure-based analytics platforms.\nProven experience building:Fact Tables\nDimension Tables\nData Pipelines\nPower BI datasets\n\nExperience with Microsoft Azure Data Services.\nExperience with Delta Tables and Apache Spark.\nFamiliarity with CI/CD and Git-based development.\nUnderstanding of data governance and lineage concepts.\nMicrosoft Fabric Certification preferred:DP-600\nDP-700","description_format":"text","description_chars":3076,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Business Process Outsourcing (BPO)","Call Center Services"],"lifecycle":[{"event":"open","at":"2026-09-25T20:26:38Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":5,"expected_fill_days":21,"reasons":["conf:10","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/sutherland-data-analyst","json_url":"https://alion.io/job/sutherland-data-analyst.json","meta":{"generated_at":"2026-10-01T21:34:57Z","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":4222,"day_limit":5000,"remaining_today":778,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}