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Solutions is a women-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada.\nProject Description\nA leading enterprise client, a multinational telecommunications technology company, has an urgent need for a Data Analyst / Analytics Engineer to help transform complex, disconnected data into trusted business insights and scalable data solutions.\nKey Responsibilities\nAnalyze and integrate data across multiple applications, source systems, and business domains\nDesign, build, and maintain scalable data pipelines and transformation logic to support analytics and reporting\nDevelop advanced SQL queries, analytical models, and reconciliation logic to validate and unify complex datasets\nUse Databricks to engineer, transform, optimize, and operationalize large-scale datasets\nBuild curated, business-ready datasets for analysis, executive reporting, and self-service consumption\nDevelop and maintain Power BI dashboards and reports for business and executive stakeholders\nOwn analytics solutions end to end - from raw data ingestion through semantic logic, reporting, and insight generation\nIdentify relationships between customers, products, locations, revenue, and operational performance\nPartner with business stakeholders to define KPIs, metrics, and solve business problems\nInvestigate data quality issues, perform root-cause analysis, and implement sustainable fixes\nEnsure data lineage, business logic, and transformation rules are documented and maintainable\nImprove performance, reliability, and usability of analytical workflows\nMandatory Skills\nStrong SQL development and data analysis experience\nStrong hands-on experience with Databricks for large-scale data processing, transformation, and analytics\nExperience designing and maintaining data pipelines, transformation workflows, and curated analytical datasets\nStrong experience with Power BI for dashboard development, data modeling, and visualization\nStrong understanding of data engineering concepts - data lineage, data quality, transformation logic, scalable data modeling\nExperience working with large and complex datasets across multiple systems\nStrong problem-solving and analytical skills\nAbility to investigate and reconcile data across multiple platforms and source systems\nExperience supporting end-to-end analytics, from ingestion to reporting and insight generation\nExcellent communication and stakeholder management skills\nAbility to translate business questions into technical and reporting solutions\nNice-to-Have Skills\nExperience with Snowflake, Python, Spark, Terraform, or enterprise data warehouse environments\nExperience with modern cloud-based analytics platforms and data engineering frameworks\nKnowledge of telecommunications, customer, revenue, operational, or financial data domains\nExperience working with cross-functional teams in a fast-paced environment\nFamiliarity with KPI governance, executive reporting, and semantic layer 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