{"id":4195197,"url":"https://alion.io/job/deloitte-data-analyst-bi-specialist","title":"Data Analyst & BI Specialist","company":{"id":272,"name":"Deloitte","domain":"deloitte.com","url":"https://alion.io/company/deloitte","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":12,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plaines Wilhems, Mauritius"],"countries":["MU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"MS SQL","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false}],"status":"live","first_seen_at":"2026-11-12T17:24:54Z","employer_posted_date":null,"last_verified_at":"2026-11-12T17:24:54Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Data Analyst & BI Specialist\n\nAre you looking for a challenging position that offers you the opportunity to grow and develop quickly your career?\n\nIf you have between 6 to 8 years of experience and are motivated and willing to gain experience and knowledge, this position is made for you.\n\nYou will have the opportunity to:\n\nParticipate in end-to-end data flow topics, from business requirements gathering to the design and implementation of robust BI solutions.\nCollaborate closely with business stakeholders to understand their needs and translate them into clear functional and technical specifications.\nCollect and prepare raw data from various sources, ensuring data quality, consistency and reliability.\nDesign and build insightful data visualizations, reports and interactive dashboards (mainly with Power BI / SSRS) to support operational and strategic decision-making.\nPerform data extraction and transformation, and automate recurring reports and dashboards.\nDesign, implement, optimize and maintain SQL stored procedures, views and queries, with particular attention to performance and scalability.\nBuild, manage and monitor ETL processes and workflows (including SSIS and other tools) for data integration, transformation and export.\nContribute to the design and evolution of Data Warehouses and Data Lakes, including data modelling and documentation.\nMonitor and analyze data systems and pipelines, proactively identifying issues and opportunities for improvement.\nParticipate in the continuous improvement of BI architecture, standards and best practices (governance, documentation, testing, version control).\n\nYour profile:\n\nBachelor’s degree in Business Intelligence, Data/Business Analytics, Mathematics, Computer Science or a related field (a Master’s degree is an asset).\n6–8 years of proven experience in a Data Analyst, Data Engineer or similar role.\nSolid experience with BI and reporting tools, especially Power BI (row-level security, Power Query, DAX) and SSRS (experience with paginated reports).\nStrong expertise in T-SQL (complex queries, stored procedures, performance tuning, indexing, optimization).\nHands-on experience in data modelling (star schema, snowflake, dimensional modelling) and data analysis.\nGood knowledge of concepts such as Data Warehousing, Data Lakes, ETL/ELT, and strong experience with traditional RDBMS, particularly Microsoft SQL Server.\nPractical experience with SSIS for building and maintaining ETL workflows.\nExperience with Databricks (or similar cloud-based data platforms) is considered a strong asset.\nExposure to Azure (e.g. Azure Data Factory, Synapse, SQL Database, Data Lake) or other cloud environments is an advantage.\nStrong analytical mindset and problem-solving skills, with the ability to quickly understand complex datasets and business contexts.\nStructured, methodical and rigorous approach to work; 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