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Data Analyst at Control Risks. Location Information: Mumbai, Maharashtra, India - Remote. . Control Risks is seeking a highly technical, detail-oriented Data Analyst to join our Data & Technology Consulting (DTC) team. This role is deeply embedded in data analytics, scripting, . ETL. workflows, and reporting. The candidate is required to have strong skills in Python, SQL, Power BI, Microsoft Fabric, and PowerApps. The successful candidate will play a critical role in developing and implementing data solutions that power our consulting engagements.. This is not a generic data analyst role, we’re looking for a problem-solver who thrives in complex, fast-paced environments, is confident writing production-level code, and can develop intuitive, scalable reporting solutions.. Tasks & responsibilities:. • Interrogate, clean, and assess structured and unstructured data for integrity, completeness, and business relevance.. • Build and optimize robust ETL . pipelines. to normalize disparate datasets and enable downstream analysis.. • Write efficient SQL and Python scripts to support custom data transformations, enrichment, and automations.. • Design, build, and maintain interactive Power BI dashboards and PowerApps solutions aligned to client and internal requirements.. • Interpret and analyse complex financial, operational, and transactional datasets to surface insights and support investigative work.. • Document methodologies, code logic, data assumptions, and business context throughout the project lifecycle.. • Collaborate across multi-disciplinary teams to ensure timely delivery of work products and reporting solutions.. Requirements. • Minimum 3 years of hands-on experience with:. • Writing production-level SQL and Python for data transformation and automation.. • Building and maintaining ETL pipelines for large, messy, and complex datasets.. • Designing and deploying workflows and reports using Power BI, PowerApps, and Microsoft Fabric.. • Advanced proficiency in Excel (pivoting, modelling, formulas, data wrangling).. • Demonstrated experience working with relational databases and open-source tools.. • Strong understanding of data structures, normalization, and query optimization.. • Proven ability to manage multiple priorities in a deadline-driven environment.. • Self-motivated, methodical, and committed to high-quality outcomes.. • Excellent written and verbal communication in English.. Preferred Skills. • Experience in consulting, compliance, or risk advisory environments.. • Comfort navigating ambiguity and changing priorities.. • Exposure to version control systems (e.g., Git), cloud data tools, or APIs is a plus.. Education. • Bachelor’s Degree in Computer Science, Data Science, Information Systems, or a relevant quantitative field.. .